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postgresql/src/test/regress/expected/json.out

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Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
-- Strings.
SELECT '""'::json; -- OK.
json
------
""
(1 row)
SELECT $$''$$::json; -- ERROR, single quotes are not allowed
ERROR: invalid input syntax for type json
LINE 1: SELECT $$''$$::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "'" is invalid.
CONTEXT: JSON data, line 1: '...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '"abc"'::json; -- OK
json
-------
"abc"
(1 row)
SELECT '"abc'::json; -- ERROR, quotes not closed
ERROR: invalid input syntax for type json
LINE 1: SELECT '"abc'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token ""abc" is invalid.
CONTEXT: JSON data, line 1: "abc
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '"abc
def"'::json; -- ERROR, unescaped newline in string constant
ERROR: invalid input syntax for type json
LINE 1: SELECT '"abc
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Character with value 0x0a must be escaped.
CONTEXT: JSON data, line 1: "abc
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '"\n\"\\"'::json; -- OK, legal escapes
json
----------
"\n\"\\"
(1 row)
SELECT '"\v"'::json; -- ERROR, not a valid JSON escape
ERROR: invalid input syntax for type json
LINE 1: SELECT '"\v"'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Escape sequence "\v" is invalid.
CONTEXT: JSON data, line 1: "\v...
Factor out encoding specific tests for json This lets us remove the large alternative results files for the main json and jsonb tests, which makes modifying those tests simpler for committers and patch submitters. Backpatch to 9.4 for jsonb and 9.3 for json.
2015-10-07 23:41:45 +02:00
-- see json_encoding test for input with unicode escapes
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
-- Numbers.
SELECT '1'::json; -- OK
json
------
1
(1 row)
SELECT '0'::json; -- OK
json
------
0
(1 row)
SELECT '01'::json; -- ERROR, not valid according to JSON spec
ERROR: invalid input syntax for type json
LINE 1: SELECT '01'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "01" is invalid.
CONTEXT: JSON data, line 1: 01
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '0.1'::json; -- OK
json
------
0.1
(1 row)
SELECT '9223372036854775808'::json; -- OK, even though it's too large for int8
json
---------------------
9223372036854775808
(1 row)
SELECT '1e100'::json; -- OK
json
-------
1e100
(1 row)
SELECT '1.3e100'::json; -- OK
json
---------
1.3e100
(1 row)
SELECT '1f2'::json; -- ERROR
ERROR: invalid input syntax for type json
LINE 1: SELECT '1f2'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "1f2" is invalid.
CONTEXT: JSON data, line 1: 1f2
Fix incorrect logic in JSON number lexer Detectable by gcc -Wlogical-op. Add two regression test cases that would previously allow incorrect values to pass.
2012-05-20 01:24:46 +02:00
SELECT '0.x1'::json; -- ERROR
ERROR: invalid input syntax for type json
LINE 1: SELECT '0.x1'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "0.x1" is invalid.
CONTEXT: JSON data, line 1: 0.x1
Fix incorrect logic in JSON number lexer Detectable by gcc -Wlogical-op. Add two regression test cases that would previously allow incorrect values to pass.
2012-05-20 01:24:46 +02:00
SELECT '1.3ex100'::json; -- ERROR
ERROR: invalid input syntax for type json
LINE 1: SELECT '1.3ex100'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "1.3ex100" is invalid.
CONTEXT: JSON data, line 1: 1.3ex100
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
-- Arrays.
SELECT '[]'::json; -- OK
json
------
[]
(1 row)
SELECT '[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]'::json; -- OK
json
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]
(1 row)
SELECT '[1,2]'::json; -- OK
json
-------
[1,2]
(1 row)
SELECT '[1,2,]'::json; -- ERROR, trailing comma
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '[1,2,]'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected JSON value, but found "]".
CONTEXT: JSON data, line 1: [1,2,]
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '[1,2'::json; -- ERROR, no closing bracket
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '[1,2'::json;
^
DETAIL: The input string ended unexpectedly.
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
CONTEXT: JSON data, line 1: [1,2
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '[1,[2]'::json; -- ERROR, no closing bracket
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '[1,[2]'::json;
^
DETAIL: The input string ended unexpectedly.
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
CONTEXT: JSON data, line 1: [1,[2]
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
-- Objects.
SELECT '{}'::json; -- OK
json
------
{}
(1 row)
SELECT '{"abc"}'::json; -- ERROR, no value
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '{"abc"}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected ":", but found "}".
CONTEXT: JSON data, line 1: {"abc"}
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '{"abc":1}'::json; -- OK
json
-----------
{"abc":1}
(1 row)
SELECT '{1:"abc"}'::json; -- ERROR, keys must be strings
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '{1:"abc"}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected string or "}", but found "1".
CONTEXT: JSON data, line 1: {1...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '{"abc",1}'::json; -- ERROR, wrong separator
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '{"abc",1}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected ":", but found ",".
CONTEXT: JSON data, line 1: {"abc",...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '{"abc"=1}'::json; -- ERROR, totally wrong separator
ERROR: invalid input syntax for type json
LINE 1: SELECT '{"abc"=1}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "=" is invalid.
CONTEXT: JSON data, line 1: {"abc"=...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '{"abc"::1}'::json; -- ERROR, another wrong separator
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '{"abc"::1}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected JSON value, but found ":".
CONTEXT: JSON data, line 1: {"abc"::...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '{"abc":1,"def":2,"ghi":[3,4],"hij":{"klm":5,"nop":[6]}}'::json; -- OK
json
---------------------------------------------------------
{"abc":1,"def":2,"ghi":[3,4],"hij":{"klm":5,"nop":[6]}}
(1 row)
SELECT '{"abc":1:2}'::json; -- ERROR, colon in wrong spot
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '{"abc":1:2}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected "," or "}", but found ":".
CONTEXT: JSON data, line 1: {"abc":1:...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT '{"abc":1,3}'::json; -- ERROR, no value
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT '{"abc":1,3}'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected string, but found "3".
CONTEXT: JSON data, line 1: {"abc":1,3...
Prevent stack overflow in json-related functions. Sufficiently-deep recursion heretofore elicited a SIGSEGV. If an application constructs PostgreSQL json or jsonb values from arbitrary user input, application users could have exploited this to terminate all active database connections. That applies to 9.3, where the json parser adopted recursive descent, and later versions. Only row_to_json() and array_to_json() were at risk in 9.2, both in a non-security capacity. Back-patch to 9.2, where the json type was introduced. Oskari Saarenmaa, reviewed by Michael Paquier. Security: CVE-2015-5289
2015-10-05 16:06:29 +02:00
-- Recursion.
SET max_stack_depth = '100kB';
Fix insufficiently-portable regression test case. Some of the buildfarm members are evidently miserly enough of stack space to pass the originally-committed form of this test. Increase the requirement 10X to hopefully ensure that it fails as-expected everywhere. Security: CVE-2015-5289
2015-10-05 18:19:14 +02:00
SELECT repeat('[', 10000)::json;
Prevent stack overflow in json-related functions. Sufficiently-deep recursion heretofore elicited a SIGSEGV. If an application constructs PostgreSQL json or jsonb values from arbitrary user input, application users could have exploited this to terminate all active database connections. That applies to 9.3, where the json parser adopted recursive descent, and later versions. Only row_to_json() and array_to_json() were at risk in 9.2, both in a non-security capacity. Back-patch to 9.2, where the json type was introduced. Oskari Saarenmaa, reviewed by Michael Paquier. Security: CVE-2015-5289
2015-10-05 16:06:29 +02:00
ERROR: stack depth limit exceeded
HINT: Increase the configuration parameter "max_stack_depth" (currently 100kB), after ensuring the platform's stack depth limit is adequate.
Fix insufficiently-portable regression test case. Some of the buildfarm members are evidently miserly enough of stack space to pass the originally-committed form of this test. Increase the requirement 10X to hopefully ensure that it fails as-expected everywhere. Security: CVE-2015-5289
2015-10-05 18:19:14 +02:00
SELECT repeat('{"a":', 10000)::json;
Prevent stack overflow in json-related functions. Sufficiently-deep recursion heretofore elicited a SIGSEGV. If an application constructs PostgreSQL json or jsonb values from arbitrary user input, application users could have exploited this to terminate all active database connections. That applies to 9.3, where the json parser adopted recursive descent, and later versions. Only row_to_json() and array_to_json() were at risk in 9.2, both in a non-security capacity. Back-patch to 9.2, where the json type was introduced. Oskari Saarenmaa, reviewed by Michael Paquier. Security: CVE-2015-5289
2015-10-05 16:06:29 +02:00
ERROR: stack depth limit exceeded
HINT: Increase the configuration parameter "max_stack_depth" (currently 100kB), after ensuring the platform's stack depth limit is adequate.
RESET max_stack_depth;
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
-- Miscellaneous stuff.
SELECT 'true'::json; -- OK
json
------
true
(1 row)
SELECT 'false'::json; -- OK
json
-------
false
(1 row)
SELECT 'null'::json; -- OK
json
------
null
(1 row)
SELECT ' true '::json; -- OK, even with extra whitespace
json
--------
true
(1 row)
SELECT 'true false'::json; -- ERROR, too many values
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT 'true false'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected end of input, but found "false".
CONTEXT: JSON data, line 1: true false
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT 'true, false'::json; -- ERROR, too many values
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT 'true, false'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Expected end of input, but found ",".
CONTEXT: JSON data, line 1: true,...
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT 'truf'::json; -- ERROR, not a keyword
ERROR: invalid input syntax for type json
LINE 1: SELECT 'truf'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "truf" is invalid.
CONTEXT: JSON data, line 1: truf
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT 'trues'::json; -- ERROR, not a keyword
ERROR: invalid input syntax for type json
LINE 1: SELECT 'trues'::json;
^
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
DETAIL: Token "trues" is invalid.
CONTEXT: JSON data, line 1: trues
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT ''::json; -- ERROR, no value
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT ''::json;
^
DETAIL: The input string ended unexpectedly.
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
CONTEXT: JSON data, line 1:
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
SELECT ' '::json; -- ERROR, no value
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
ERROR: invalid input syntax for type json
Built-in JSON data type. Like the XML data type, we simply store JSON data as text, after checking that it is valid. More complex operations such as canonicalization and comparison may come later, but this is enough for not. There are a few open issues here, such as whether we should attempt to detect UTF-8 surrogate pairs represented as \uXXXX\uYYYY, but this gets the basic framework in place.
2012-01-31 17:48:23 +01:00
LINE 1: SELECT ' '::json;
^
DETAIL: The input string ended unexpectedly.
Revisit error message details for JSON input parsing. Instead of identifying error locations only by line number (which could be entirely unhelpful with long input lines), provide a fragment of the input text too, placing this info in a new CONTEXT entry. Make the error detail messages conform more closely to style guidelines, fix failure to expose some of them for translation, ensure compiler can check formats against supplied parameters.
2012-06-14 01:43:35 +02:00
CONTEXT: JSON data, line 1:
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
--constructors
-- array_to_json
SELECT array_to_json(array(select 1 as a));
array_to_json
---------------
[1]
(1 row)
SELECT array_to_json(array_agg(q),false) from (select x as b, x * 2 as c from generate_series(1,3) x) q;
Preserve column names in the execution-time tupledesc for a RowExpr. The hstore and json datatypes both have record-conversion functions that pay attention to column names in the composite values they're handed. We used to not worry about inserting correct field names into tuple descriptors generated at runtime, but given these examples it seems useful to do so. Observe the nicer-looking results in the regression tests whose results changed. catversion bump because there is a subtle change in requirements for stored rule parsetrees: RowExprs from ROW() constructs now have to include field names. Andrew Dunstan and Tom Lane
2012-02-14 23:34:19 +01:00
array_to_json
---------------------------------------------
[{"b":1,"c":2},{"b":2,"c":4},{"b":3,"c":6}]
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
(1 row)
SELECT array_to_json(array_agg(q),true) from (select x as b, x * 2 as c from generate_series(1,3) x) q;
Preserve column names in the execution-time tupledesc for a RowExpr. The hstore and json datatypes both have record-conversion functions that pay attention to column names in the composite values they're handed. We used to not worry about inserting correct field names into tuple descriptors generated at runtime, but given these examples it seems useful to do so. Observe the nicer-looking results in the regression tests whose results changed. catversion bump because there is a subtle change in requirements for stored rule parsetrees: RowExprs from ROW() constructs now have to include field names. Andrew Dunstan and Tom Lane
2012-02-14 23:34:19 +01:00
array_to_json
-----------------
[{"b":1,"c":2},+
{"b":2,"c":4},+
{"b":3,"c":6}]
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
(1 row)
SELECT array_to_json(array_agg(q),false)
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
FROM ( SELECT $$a$$ || x AS b, y AS c,
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
ARRAY[ROW(x.*,ARRAY[1,2,3]),
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
ROW(y.*,ARRAY[4,5,6])] AS z
FROM generate_series(1,2) x,
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
generate_series(4,5) y) q;
Preserve column names in the execution-time tupledesc for a RowExpr. The hstore and json datatypes both have record-conversion functions that pay attention to column names in the composite values they're handed. We used to not worry about inserting correct field names into tuple descriptors generated at runtime, but given these examples it seems useful to do so. Observe the nicer-looking results in the regression tests whose results changed. catversion bump because there is a subtle change in requirements for stored rule parsetrees: RowExprs from ROW() constructs now have to include field names. Andrew Dunstan and Tom Lane
2012-02-14 23:34:19 +01:00
array_to_json
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
[{"b":"a1","c":4,"z":[{"f1":1,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]},{"b":"a1","c":5,"z":[{"f1":1,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]},{"b":"a2","c":4,"z":[{"f1":2,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]},{"b":"a2","c":5,"z":[{"f1":2,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}]
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
(1 row)
SELECT array_to_json(array_agg(x),false) from generate_series(5,10) x;
array_to_json
----------------
[5,6,7,8,9,10]
(1 row)
SELECT array_to_json('{{1,5},{99,100}}'::int[]);
array_to_json
------------------
[[1,5],[99,100]]
(1 row)
-- row_to_json
SELECT row_to_json(row(1,'foo'));
row_to_json
---------------------
{"f1":1,"f2":"foo"}
(1 row)
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
SELECT row_to_json(q)
FROM (SELECT $$a$$ || x AS b,
y AS c,
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
ARRAY[ROW(x.*,ARRAY[1,2,3]),
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
ROW(y.*,ARRAY[4,5,6])] AS z
FROM generate_series(1,2) x,
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
generate_series(4,5) y) q;
Preserve column names in the execution-time tupledesc for a RowExpr. The hstore and json datatypes both have record-conversion functions that pay attention to column names in the composite values they're handed. We used to not worry about inserting correct field names into tuple descriptors generated at runtime, but given these examples it seems useful to do so. Observe the nicer-looking results in the regression tests whose results changed. catversion bump because there is a subtle change in requirements for stored rule parsetrees: RowExprs from ROW() constructs now have to include field names. Andrew Dunstan and Tom Lane
2012-02-14 23:34:19 +01:00
row_to_json
--------------------------------------------------------------------
{"b":"a1","c":4,"z":[{"f1":1,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]}
{"b":"a1","c":5,"z":[{"f1":1,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}
{"b":"a2","c":4,"z":[{"f1":2,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]}
{"b":"a2","c":5,"z":[{"f1":2,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
(4 rows)
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
SELECT row_to_json(q,true)
FROM (SELECT $$a$$ || x AS b,
y AS c,
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
ARRAY[ROW(x.*,ARRAY[1,2,3]),
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
ROW(y.*,ARRAY[4,5,6])] AS z
FROM generate_series(1,2) x,
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
generate_series(4,5) y) q;
Preserve column names in the execution-time tupledesc for a RowExpr. The hstore and json datatypes both have record-conversion functions that pay attention to column names in the composite values they're handed. We used to not worry about inserting correct field names into tuple descriptors generated at runtime, but given these examples it seems useful to do so. Observe the nicer-looking results in the regression tests whose results changed. catversion bump because there is a subtle change in requirements for stored rule parsetrees: RowExprs from ROW() constructs now have to include field names. Andrew Dunstan and Tom Lane
2012-02-14 23:34:19 +01:00
row_to_json
-----------------------------------------------------
{"b":"a1", +
"c":4, +
"z":[{"f1":1,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]}
{"b":"a1", +
"c":5, +
"z":[{"f1":1,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}
{"b":"a2", +
"c":4, +
"z":[{"f1":2,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]}
{"b":"a2", +
"c":5, +
"z":[{"f1":2,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
(4 rows)
CREATE TEMP TABLE rows AS
SELECT x, 'txt' || x as y
FROM generate_series(1,3) AS x;
Remove whitespace from end of lines pgindent and perltidy should clean up the rest.
2012-05-15 21:19:04 +02:00
SELECT row_to_json(q,true)
Add array_to_json and row_to_json functions. Also move the escape_json function from explain.c to json.c where it seems to belong. Andrew Dunstan, Reviewd by Abhijit Menon-Sen.
2012-02-03 18:11:16 +01:00
FROM rows q;
row_to_json
--------------
{"x":1, +
"y":"txt1"}
{"x":2, +
"y":"txt2"}
{"x":3, +
"y":"txt3"}
(3 rows)
SELECT row_to_json(row((select array_agg(x) as d from generate_series(5,10) x)),false);
row_to_json
-----------------------
{"f1":[5,6,7,8,9,10]}
(1 row)
Output timestamps in ISO 8601 format when rendering JSON. Many JSON processors require timestamp strings in ISO 8601 format in order to convert the strings. When converting a timestamp, with or without timezone, to a JSON datum we therefore now use such a format rather than the type's default text output, in functions such as to_json(). This is a change in behaviour from 9.2 and 9.3, as noted in the release notes.
2014-06-03 19:56:53 +02:00
-- to_json, timestamps
select to_json(timestamp '2014-05-28 12:22:35.614298');
to_json
------------------------------
"2014-05-28T12:22:35.614298"
(1 row)
BEGIN;
SET LOCAL TIME ZONE 10.5;
select to_json(timestamptz '2014-05-28 12:22:35.614298-04');
to_json
------------------------------------
"2014-05-29T02:52:35.614298+10:30"
(1 row)
SET LOCAL TIME ZONE -8;
select to_json(timestamptz '2014-05-28 12:22:35.614298-04');
Use EncodeDateTime instead of to_char to render JSON timestamps. Per gripe from Peter Eisentraut and Tom Lane. The output is slightly different, but still ISO 8601 compliant: to_char doesn't output the minutes when time zone offset is an integer number of hours, while EncodeDateTime outputs ":00". The code is slightly adapted from code in xml.c
2014-06-04 00:26:47 +02:00
to_json
------------------------------------
"2014-05-28T08:22:35.614298-08:00"
Output timestamps in ISO 8601 format when rendering JSON. Many JSON processors require timestamp strings in ISO 8601 format in order to convert the strings. When converting a timestamp, with or without timezone, to a JSON datum we therefore now use such a format rather than the type's default text output, in functions such as to_json(). This is a change in behaviour from 9.2 and 9.3, as noted in the release notes.
2014-06-03 19:56:53 +02:00
(1 row)
COMMIT;
Render infinite date/timestamps as 'infinity' for json/jsonb Commit ab14a73a6c raised an error in these cases and later the behaviour was copied to jsonb. This is what the XML code, which we then adopted, does, as the XSD types don't accept infinite values. However, json dates and timestamps are just strings as far as json is concerned, so there is no reason not to render these values as 'infinity'. The json portion of this is backpatched to 9.4 where the behaviour was introduced. The jsonb portion only affects the development branch. Per gripe on pgsql-general.
2015-02-26 18:25:21 +01:00
select to_json(date '2014-05-28');
to_json
--------------
"2014-05-28"
(1 row)
select to_json(date 'Infinity');
to_json
------------
"infinity"
(1 row)
Fix incorrect translation of minus-infinity datetimes for json/jsonb. Commit bda76c1c8cfb1d11751ba6be88f0242850481733 caused both plus and minus infinity to be rendered as "infinity", which is not only wrong but inconsistent with the pre-9.4 behavior of to_json(). Fix that by duplicating the coding in date_out/timestamp_out/timestamptz_out more closely. Per bug #13687 from Stepan Perlov. Back-patch to 9.4, like the previous commit. In passing, also re-pgindent json.c, since it had gotten a bit messed up by recent patches (and I was already annoyed by indentation-related problems in back-patching this fix ...)
2015-10-20 20:06:24 +02:00
select to_json(date '-Infinity');
to_json
-------------
"-infinity"
(1 row)
Render infinite date/timestamps as 'infinity' for json/jsonb Commit ab14a73a6c raised an error in these cases and later the behaviour was copied to jsonb. This is what the XML code, which we then adopted, does, as the XSD types don't accept infinite values. However, json dates and timestamps are just strings as far as json is concerned, so there is no reason not to render these values as 'infinity'. The json portion of this is backpatched to 9.4 where the behaviour was introduced. The jsonb portion only affects the development branch. Per gripe on pgsql-general.
2015-02-26 18:25:21 +01:00
select to_json(timestamp 'Infinity');
to_json
------------
"infinity"
(1 row)
Fix incorrect translation of minus-infinity datetimes for json/jsonb. Commit bda76c1c8cfb1d11751ba6be88f0242850481733 caused both plus and minus infinity to be rendered as "infinity", which is not only wrong but inconsistent with the pre-9.4 behavior of to_json(). Fix that by duplicating the coding in date_out/timestamp_out/timestamptz_out more closely. Per bug #13687 from Stepan Perlov. Back-patch to 9.4, like the previous commit. In passing, also re-pgindent json.c, since it had gotten a bit messed up by recent patches (and I was already annoyed by indentation-related problems in back-patching this fix ...)
2015-10-20 20:06:24 +02:00
select to_json(timestamp '-Infinity');
to_json
-------------
"-infinity"
(1 row)
Render infinite date/timestamps as 'infinity' for json/jsonb Commit ab14a73a6c raised an error in these cases and later the behaviour was copied to jsonb. This is what the XML code, which we then adopted, does, as the XSD types don't accept infinite values. However, json dates and timestamps are just strings as far as json is concerned, so there is no reason not to render these values as 'infinity'. The json portion of this is backpatched to 9.4 where the behaviour was introduced. The jsonb portion only affects the development branch. Per gripe on pgsql-general.
2015-02-26 18:25:21 +01:00
select to_json(timestamptz 'Infinity');
to_json
------------
"infinity"
(1 row)
Fix incorrect translation of minus-infinity datetimes for json/jsonb. Commit bda76c1c8cfb1d11751ba6be88f0242850481733 caused both plus and minus infinity to be rendered as "infinity", which is not only wrong but inconsistent with the pre-9.4 behavior of to_json(). Fix that by duplicating the coding in date_out/timestamp_out/timestamptz_out more closely. Per bug #13687 from Stepan Perlov. Back-patch to 9.4, like the previous commit. In passing, also re-pgindent json.c, since it had gotten a bit messed up by recent patches (and I was already annoyed by indentation-related problems in back-patching this fix ...)
2015-10-20 20:06:24 +02:00
select to_json(timestamptz '-Infinity');
to_json
-------------
"-infinity"
(1 row)
JSON generation improvements. This adds the following: json_agg(anyrecord) -> json to_json(any) -> json hstore_to_json(hstore) -> json (also used as a cast) hstore_to_json_loose(hstore) -> json The last provides heuristic treatment of numbers and booleans. Also, in json generation, if any non-builtin type has a cast to json, that function is used instead of the type's output function. Andrew Dunstan, reviewed by Steve Singer. Catalog version bumped.
2013-03-10 22:35:36 +01:00
--json_agg
SELECT json_agg(q)
FROM ( SELECT $$a$$ || x AS b, y AS c,
ARRAY[ROW(x.*,ARRAY[1,2,3]),
ROW(y.*,ARRAY[4,5,6])] AS z
FROM generate_series(1,2) x,
generate_series(4,5) y) q;
json_agg
-----------------------------------------------------------------------
[{"b":"a1","c":4,"z":[{"f1":1,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]}, +
{"b":"a1","c":5,"z":[{"f1":1,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}, +
{"b":"a2","c":4,"z":[{"f1":2,"f2":[1,2,3]},{"f1":4,"f2":[4,5,6]}]}, +
{"b":"a2","c":5,"z":[{"f1":2,"f2":[1,2,3]},{"f1":5,"f2":[4,5,6]}]}]
(1 row)
Fix treatment of nulls in jsonb_agg and jsonb_object_agg The wrong is_null flag was being passed to datum_to_json. Also, null object key values are not permitted, and this was not being checked for. Add regression tests covering these cases, and also add those tests to the json set, even though it was doing the right thing. Fixes bug #13514, initially diagnosed by Tom Lane.
2015-07-24 15:40:46 +02:00
SELECT json_agg(q ORDER BY x, y)
JSON generation improvements. This adds the following: json_agg(anyrecord) -> json to_json(any) -> json hstore_to_json(hstore) -> json (also used as a cast) hstore_to_json_loose(hstore) -> json The last provides heuristic treatment of numbers and booleans. Also, in json generation, if any non-builtin type has a cast to json, that function is used instead of the type's output function. Andrew Dunstan, reviewed by Steve Singer. Catalog version bumped.
2013-03-10 22:35:36 +01:00
FROM rows q;
json_agg
-----------------------
[{"x":1,"y":"txt1"}, +
{"x":2,"y":"txt2"}, +
{"x":3,"y":"txt3"}]
(1 row)
Fix treatment of nulls in jsonb_agg and jsonb_object_agg The wrong is_null flag was being passed to datum_to_json. Also, null object key values are not permitted, and this was not being checked for. Add regression tests covering these cases, and also add those tests to the json set, even though it was doing the right thing. Fixes bug #13514, initially diagnosed by Tom Lane.
2015-07-24 15:40:46 +02:00
UPDATE rows SET x = NULL WHERE x = 1;
SELECT json_agg(q ORDER BY x NULLS FIRST, y)
FROM rows q;
json_agg
--------------------------
[{"x":null,"y":"txt1"}, +
{"x":2,"y":"txt2"}, +
{"x":3,"y":"txt3"}]
(1 row)
Fix a couple of cases of JSON output. First, as noted by Itagaki Takahiro, a datum of type JSON doesn't need to be escaped. Second, ensure that numeric output not in the form of a legal JSON number is quoted and escaped.
2012-02-20 21:01:03 +01:00
-- non-numeric output
SELECT row_to_json(q)
FROM (SELECT 'NaN'::float8 AS "float8field") q;
row_to_json
-----------------------
{"float8field":"NaN"}
(1 row)
SELECT row_to_json(q)
FROM (SELECT 'Infinity'::float8 AS "float8field") q;
row_to_json
----------------------------
{"float8field":"Infinity"}
(1 row)
SELECT row_to_json(q)
FROM (SELECT '-Infinity'::float8 AS "float8field") q;
row_to_json
-----------------------------
{"float8field":"-Infinity"}
(1 row)
-- json input
SELECT row_to_json(q)
FROM (SELECT '{"a":1,"b": [2,3,4,"d","e","f"],"c":{"p":1,"q":2}}'::json AS "jsonfield") q;
row_to_json
------------------------------------------------------------------
{"jsonfield":{"a":1,"b": [2,3,4,"d","e","f"],"c":{"p":1,"q":2}}}
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
-- json extraction functions
CREATE TEMP TABLE test_json (
json_type text,
test_json json
);
INSERT INTO test_json VALUES
('scalar','"a scalar"'),
Introduce jsonb, a structured format for storing json. The new format accepts exactly the same data as the json type. However, it is stored in a format that does not require reparsing the orgiginal text in order to process it, making it much more suitable for indexing and other operations. Insignificant whitespace is discarded, and the order of object keys is not preserved. Neither are duplicate object keys kept - the later value for a given key is the only one stored. The new type has all the functions and operators that the json type has, with the exception of the json generation functions (to_json, json_agg etc.) and with identical semantics. In addition, there are operator classes for hash and btree indexing, and two classes for GIN indexing, that have no equivalent in the json type. This feature grew out of previous work by Oleg Bartunov and Teodor Sigaev, which was intended to provide similar facilities to a nested hstore type, but which in the end proved to have some significant compatibility issues. Authors: Oleg Bartunov, Teodor Sigaev, Peter Geoghegan and Andrew Dunstan. Review: Andres Freund
2014-03-23 21:40:19 +01:00
('array','["zero", "one","two",null,"four","five", [1,2,3],{"f1":9}]'),
('object','{"field1":"val1","field2":"val2","field3":null, "field4": 4, "field5": [1,2,3], "field6": {"f1":9}}');
Remove whitespace from end of lines
2013-05-31 03:05:07 +02:00
SELECT test_json -> 'x'
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
FROM test_json
WHERE json_type = 'scalar';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Remove whitespace from end of lines
2013-05-31 03:05:07 +02:00
SELECT test_json -> 'x'
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
FROM test_json
WHERE json_type = 'array';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Remove whitespace from end of lines
2013-05-31 03:05:07 +02:00
SELECT test_json -> 'x'
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
FROM test_json
WHERE json_type = 'object';
?column?
----------
(1 row)
SELECT test_json->'field2'
FROM test_json
WHERE json_type = 'object';
?column?
----------
"val2"
(1 row)
Remove whitespace from end of lines
2013-05-31 03:05:07 +02:00
SELECT test_json->>'field2'
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
FROM test_json
WHERE json_type = 'object';
?column?
----------
val2
(1 row)
Remove whitespace from end of lines
2013-05-31 03:05:07 +02:00
SELECT test_json -> 2
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
FROM test_json
WHERE json_type = 'scalar';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Remove whitespace from end of lines
2013-05-31 03:05:07 +02:00
SELECT test_json -> 2
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
FROM test_json
WHERE json_type = 'array';
?column?
----------
"two"
(1 row)
Support JSON negative array subscripts everywhere Previously, there was an inconsistency across json/jsonb operators that operate on datums containing JSON arrays -- only some operators supported negative array count-from-the-end subscripting. Specifically, only a new-to-9.5 jsonb deletion operator had support (the new "jsonb - integer" operator). This inconsistency seemed likely to be counter-intuitive to users. To fix, allow all places where the user can supply an integer subscript to accept a negative subscript value, including path-orientated operators and functions, as well as other extraction operators. This will need to be called out as an incompatibility in the 9.5 release notes, since it's possible that users are relying on certain established extraction operators changed here yielding NULL in the event of a negative subscript. For the json type, this requires adding a way of cheaply getting the total JSON array element count ahead of time when parsing arrays with a negative subscript involved, necessitating an ad-hoc lex and parse. This is followed by a "conversion" from a negative subscript to its equivalent positive-wise value using the count. From there on, it's as if a positive-wise value was originally provided. Note that there is still a minor inconsistency here across jsonb deletion operators. Unlike the aforementioned new "-" deletion operator that accepts an integer on its right hand side, the new "#-" path orientated deletion variant does not throw an error when it appears like an array subscript (input that could be recognized by as an integer literal) is being used on an object, which is wrong-headed. The reason for not being stricter is that it could be the case that an object pair happens to have a key value that looks like an integer; in general, these two possibilities are impossible to differentiate with rhs path text[] argument elements. However, we still don't allow the "#-" path-orientated deletion operator to perform array-style subscripting. Rather, we just return the original left operand value in the event of a negative subscript (which seems analogous to how the established "jsonb/json #> text[]" path-orientated operator may yield NULL in the event of an invalid subscript). In passing, make SetArrayPath() stricter about not accepting cases where there is trailing non-numeric garbage bytes rather than a clean NUL byte. This means, for example, that strings like "10e10" are now not accepted as an array subscript of 10 by some new-to-9.5 path-orientated jsonb operators (e.g. the new #- operator). Finally, remove dead code for jsonb subscript deletion; arguably, this should have been done in commit b81c7b409. Peter Geoghegan and Andrew Dunstan
2015-07-18 02:56:13 +02:00
SELECT test_json -> -1
FROM test_json
WHERE json_type = 'array';
?column?
----------
{"f1":9}
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
SELECT test_json -> 2
FROM test_json
WHERE json_type = 'object';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
SELECT test_json->>2
FROM test_json
WHERE json_type = 'array';
?column?
----------
two
(1 row)
Introduce jsonb, a structured format for storing json. The new format accepts exactly the same data as the json type. However, it is stored in a format that does not require reparsing the orgiginal text in order to process it, making it much more suitable for indexing and other operations. Insignificant whitespace is discarded, and the order of object keys is not preserved. Neither are duplicate object keys kept - the later value for a given key is the only one stored. The new type has all the functions and operators that the json type has, with the exception of the json generation functions (to_json, json_agg etc.) and with identical semantics. In addition, there are operator classes for hash and btree indexing, and two classes for GIN indexing, that have no equivalent in the json type. This feature grew out of previous work by Oleg Bartunov and Teodor Sigaev, which was intended to provide similar facilities to a nested hstore type, but which in the end proved to have some significant compatibility issues. Authors: Oleg Bartunov, Teodor Sigaev, Peter Geoghegan and Andrew Dunstan. Review: Andres Freund
2014-03-23 21:40:19 +01:00
SELECT test_json ->> 6 FROM test_json WHERE json_type = 'array';
?column?
----------
[1,2,3]
(1 row)
SELECT test_json ->> 7 FROM test_json WHERE json_type = 'array';
?column?
----------
{"f1":9}
(1 row)
SELECT test_json ->> 'field4' FROM test_json WHERE json_type = 'object';
?column?
----------
4
(1 row)
SELECT test_json ->> 'field5' FROM test_json WHERE json_type = 'object';
?column?
----------
[1,2,3]
(1 row)
SELECT test_json ->> 'field6' FROM test_json WHERE json_type = 'object';
?column?
----------
{"f1":9}
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
SELECT json_object_keys(test_json)
FROM test_json
WHERE json_type = 'scalar';
ERROR: cannot call json_object_keys on a scalar
SELECT json_object_keys(test_json)
FROM test_json
WHERE json_type = 'array';
ERROR: cannot call json_object_keys on an array
SELECT json_object_keys(test_json)
FROM test_json
WHERE json_type = 'object';
json_object_keys
------------------
field1
field2
field3
Introduce jsonb, a structured format for storing json. The new format accepts exactly the same data as the json type. However, it is stored in a format that does not require reparsing the orgiginal text in order to process it, making it much more suitable for indexing and other operations. Insignificant whitespace is discarded, and the order of object keys is not preserved. Neither are duplicate object keys kept - the later value for a given key is the only one stored. The new type has all the functions and operators that the json type has, with the exception of the json generation functions (to_json, json_agg etc.) and with identical semantics. In addition, there are operator classes for hash and btree indexing, and two classes for GIN indexing, that have no equivalent in the json type. This feature grew out of previous work by Oleg Bartunov and Teodor Sigaev, which was intended to provide similar facilities to a nested hstore type, but which in the end proved to have some significant compatibility issues. Authors: Oleg Bartunov, Teodor Sigaev, Peter Geoghegan and Andrew Dunstan. Review: Andres Freund
2014-03-23 21:40:19 +01:00
field4
field5
field6
(6 rows)
-- test extending object_keys resultset - initial resultset size is 256
select count(*) from
(select json_object_keys(json_object(array_agg(g)))
from (select unnest(array['f'||n,n::text])as g
from generate_series(1,300) as n) x ) y;
count
-------
300
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
-- nulls
select (test_json->'field3') is null as expect_false
from test_json
where json_type = 'object';
expect_false
--------------
f
(1 row)
select (test_json->>'field3') is null as expect_true
from test_json
where json_type = 'object';
expect_true
-------------
t
(1 row)
select (test_json->3) is null as expect_false
from test_json
where json_type = 'array';
expect_false
--------------
f
(1 row)
select (test_json->>3) is null as expect_true
from test_json
where json_type = 'array';
expect_true
-------------
t
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
-- corner cases
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json -> null::text;
?column?
----------
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json -> null::int;
?column?
----------
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json -> 1;
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Support JSON negative array subscripts everywhere Previously, there was an inconsistency across json/jsonb operators that operate on datums containing JSON arrays -- only some operators supported negative array count-from-the-end subscripting. Specifically, only a new-to-9.5 jsonb deletion operator had support (the new "jsonb - integer" operator). This inconsistency seemed likely to be counter-intuitive to users. To fix, allow all places where the user can supply an integer subscript to accept a negative subscript value, including path-orientated operators and functions, as well as other extraction operators. This will need to be called out as an incompatibility in the 9.5 release notes, since it's possible that users are relying on certain established extraction operators changed here yielding NULL in the event of a negative subscript. For the json type, this requires adding a way of cheaply getting the total JSON array element count ahead of time when parsing arrays with a negative subscript involved, necessitating an ad-hoc lex and parse. This is followed by a "conversion" from a negative subscript to its equivalent positive-wise value using the count. From there on, it's as if a positive-wise value was originally provided. Note that there is still a minor inconsistency here across jsonb deletion operators. Unlike the aforementioned new "-" deletion operator that accepts an integer on its right hand side, the new "#-" path orientated deletion variant does not throw an error when it appears like an array subscript (input that could be recognized by as an integer literal) is being used on an object, which is wrong-headed. The reason for not being stricter is that it could be the case that an object pair happens to have a key value that looks like an integer; in general, these two possibilities are impossible to differentiate with rhs path text[] argument elements. However, we still don't allow the "#-" path-orientated deletion operator to perform array-style subscripting. Rather, we just return the original left operand value in the event of a negative subscript (which seems analogous to how the established "jsonb/json #> text[]" path-orientated operator may yield NULL in the event of an invalid subscript). In passing, make SetArrayPath() stricter about not accepting cases where there is trailing non-numeric garbage bytes rather than a clean NUL byte. This means, for example, that strings like "10e10" are now not accepted as an array subscript of 10 by some new-to-9.5 path-orientated jsonb operators (e.g. the new #- operator). Finally, remove dead code for jsonb subscript deletion; arguably, this should have been done in commit b81c7b409. Peter Geoghegan and Andrew Dunstan
2015-07-18 02:56:13 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json -> -1;
?column?
----------
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json -> 'z';
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json -> '';
?column?
----------
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '[{"b": "c"}, {"b": "cc"}]'::json -> 1;
?column?
-------------
{"b": "cc"}
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json -> 3;
?column?
----------
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json -> 'z';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
select '{"a": "c", "b": null}'::json -> 'b';
?column?
----------
null
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '"foo"'::json -> 1;
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '"foo"'::json -> 'z';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json ->> null::text;
?column?
----------
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json ->> null::int;
?column?
----------
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json ->> 1;
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json ->> 'z';
?column?
----------
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json ->> '';
?column?
----------
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json ->> 1;
?column?
-------------
{"b": "cc"}
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json ->> 3;
?column?
----------
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json ->> 'z';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
select '{"a": "c", "b": null}'::json ->> 'b';
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '"foo"'::json ->> 1;
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '"foo"'::json ->> 'z';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
-- array length
SELECT json_array_length('[1,2,3,{"f1":1,"f2":[5,6]},4]');
json_array_length
-------------------
5
(1 row)
SELECT json_array_length('[]');
json_array_length
-------------------
0
(1 row)
SELECT json_array_length('{"f1":1,"f2":[5,6]}');
ERROR: cannot get array length of a non-array
SELECT json_array_length('4');
ERROR: cannot get array length of a scalar
-- each
select json_each('{"f1":[1,2,3],"f2":{"f3":1},"f4":null}');
json_each
-------------------
(f1,"[1,2,3]")
(f2,"{""f3"":1}")
(f4,null)
(3 rows)
select * from json_each('{"f1":[1,2,3],"f2":{"f3":1},"f4":null,"f5":99,"f6":"stringy"}') q;
key | value
-----+-----------
f1 | [1,2,3]
f2 | {"f3":1}
f4 | null
f5 | 99
f6 | "stringy"
(5 rows)
select json_each_text('{"f1":[1,2,3],"f2":{"f3":1},"f4":null,"f5":"null"}');
json_each_text
-------------------
(f1,"[1,2,3]")
(f2,"{""f3"":1}")
(f4,)
(f5,null)
(4 rows)
select * from json_each_text('{"f1":[1,2,3],"f2":{"f3":1},"f4":null,"f5":99,"f6":"stringy"}') q;
key | value
-----+----------
f1 | [1,2,3]
f2 | {"f3":1}
f4 |
f5 | 99
f6 | stringy
(5 rows)
-- extract_path, extract_path_as_text
select json_extract_path('{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}','f4','f6');
json_extract_path
-------------------
"stringy"
(1 row)
select json_extract_path('{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}','f2');
json_extract_path
-------------------
{"f3":1}
(1 row)
select json_extract_path('{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}','f2',0::text);
json_extract_path
-------------------
"f3"
(1 row)
select json_extract_path('{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}','f2',1::text);
json_extract_path
-------------------
1
(1 row)
select json_extract_path_text('{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}','f4','f6');
json_extract_path_text
------------------------
stringy
(1 row)
select json_extract_path_text('{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}','f2');
json_extract_path_text
------------------------
{"f3":1}
(1 row)
select json_extract_path_text('{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}','f2',0::text);
json_extract_path_text
------------------------
f3
(1 row)
select json_extract_path_text('{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}','f2',1::text);
json_extract_path_text
------------------------
1
(1 row)
-- extract_path nulls
select json_extract_path('{"f2":{"f3":1},"f4":{"f5":null,"f6":"stringy"}}','f4','f5') is null as expect_false;
expect_false
--------------
f
(1 row)
select json_extract_path_text('{"f2":{"f3":1},"f4":{"f5":null,"f6":"stringy"}}','f4','f5') is null as expect_true;
expect_true
-------------
t
(1 row)
select json_extract_path('{"f2":{"f3":1},"f4":[0,1,2,null]}','f4','3') is null as expect_false;
expect_false
--------------
f
(1 row)
select json_extract_path_text('{"f2":{"f3":1},"f4":[0,1,2,null]}','f4','3') is null as expect_true;
expect_true
-------------
t
(1 row)
-- extract_path operators
select '{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}'::json#>array['f4','f6'];
?column?
-----------
"stringy"
(1 row)
select '{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}'::json#>array['f2'];
?column?
----------
{"f3":1}
(1 row)
select '{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}'::json#>array['f2','0'];
?column?
----------
"f3"
(1 row)
select '{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}'::json#>array['f2','1'];
?column?
----------
1
(1 row)
select '{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}'::json#>>array['f4','f6'];
?column?
----------
stringy
(1 row)
select '{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}'::json#>>array['f2'];
?column?
----------
{"f3":1}
(1 row)
select '{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}'::json#>>array['f2','0'];
?column?
----------
f3
(1 row)
select '{"f2":["f3",1],"f4":{"f5":99,"f6":"stringy"}}'::json#>>array['f2','1'];
?column?
----------
1
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
-- corner cases for same
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #> '{}';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
---------------------------
{"a": {"b":{"c": "foo"}}}
(1 row)
select '[1,2,3]'::json #> '{}';
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
?column?
----------
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
[1,2,3]
(1 row)
select '"foo"'::json #> '{}';
?column?
----------
"foo"
(1 row)
select '42'::json #> '{}';
?column?
----------
42
(1 row)
select 'null'::json #> '{}';
?column?
----------
null
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
(1 row)
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a'];
?column?
--------------------
{"b":{"c": "foo"}}
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a', null];
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a', ''];
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a','b'];
?column?
--------------
{"c": "foo"}
(1 row)
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a','b','c'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
"foo"
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a','b','c','d'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #> array['a','z','c'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json #> array['a','1','b'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
"cc"
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json #> array['a','z','b'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '[{"b": "c"}, {"b": "cc"}]'::json #> array['1','b'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
"cc"
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '[{"b": "c"}, {"b": "cc"}]'::json #> array['z','b'];
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
?column?
----------
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
(1 row)
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
select '[{"b": "c"}, {"b": null}]'::json #> array['1','b'];
?column?
----------
null
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '"foo"'::json #> array['z'];
?column?
----------
(1 row)
select '42'::json #> array['f2'];
?column?
----------
(1 row)
select '42'::json #> array['0'];
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #>> '{}';
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
---------------------------
{"a": {"b":{"c": "foo"}}}
(1 row)
select '[1,2,3]'::json #>> '{}';
?column?
----------
[1,2,3]
(1 row)
select '"foo"'::json #>> '{}';
?column?
----------
foo
(1 row)
select '42'::json #>> '{}';
?column?
----------
42
(1 row)
select 'null'::json #>> '{}';
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
?column?
----------
(1 row)
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a'];
?column?
--------------------
{"b":{"c": "foo"}}
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a', null];
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
More regression test cases for json/jsonb extraction operators. Cover some cases I omitted before, such as null and empty-string elements in the path array. This exposes another inconsistency: json_extract_path complains about empty path elements but jsonb_extract_path does not.
2014-08-21 01:05:05 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a', ''];
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
?column?
----------
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a','b'];
?column?
--------------
{"c": "foo"}
(1 row)
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a','b','c'];
?column?
----------
foo
(1 row)
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a','b','c','d'];
?column?
----------
(1 row)
select '{"a": {"b":{"c": "foo"}}}'::json #>> array['a','z','c'];
?column?
----------
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json #>> array['a','1','b'];
?column?
----------
cc
(1 row)
select '{"a": [{"b": "c"}, {"b": "cc"}]}'::json #>> array['a','z','b'];
?column?
----------
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json #>> array['1','b'];
?column?
----------
cc
(1 row)
select '[{"b": "c"}, {"b": "cc"}]'::json #>> array['z','b'];
?column?
----------
(1 row)
Fix corner-case behaviors in JSON/JSONB field extraction operators. Cause the path extraction operators to return their lefthand input, not NULL, if the path array has no elements. This seems more consistent since the case ought to correspond to applying the simple extraction operator (->) zero times. Cause other corner cases in field/element/path extraction to return NULL rather than failing. This behavior is arguably more useful than throwing an error, since it allows an expression index using these operators to be built even when not all values in the column are suitable for the extraction being indexed. Moreover, we already had multiple inconsistencies between the path extraction operators and the simple extraction operators, as well as inconsistencies between the JSON and JSONB code paths. Adopt a uniform rule of returning NULL rather than throwing an error when the JSON input does not have a structure that permits the request to be satisfied. Back-patch to 9.4. Update the release notes to list this as a behavior change since 9.3.
2014-08-22 19:17:58 +02:00
select '[{"b": "c"}, {"b": null}]'::json #>> array['1','b'];
?column?
----------
(1 row)
Fix core dump in jsonb #> operator, and add regression test cases. jsonb's #> operator segfaulted (dereferencing a null pointer) if the RHS was a zero-length array, as reported in bug #11207 from Justin Van Winkle. json's #> operator returns NULL in such cases, so for the moment let's make jsonb act likewise. Also add a bunch of regression test queries memorializing the -> and #> operators' behavior for this and other corner cases. There is a good argument for changing some of these behaviors, as they are not very consistent with each other, and throwing an error isn't necessarily a desirable behavior for operators that are likely to be used in indexes. However, everybody can agree that a core dump is the Wrong Thing, and we need test cases even if we decide to change their expected output later.
2014-08-20 22:48:35 +02:00
select '"foo"'::json #>> array['z'];
?column?
----------
(1 row)
select '42'::json #>> array['f2'];
?column?
----------
(1 row)
select '42'::json #>> array['0'];
?column?
----------
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
(1 row)
-- array_elements
Add json_array_elements_text function. This was a notable omission from the json functions added in 9.3 and there have been numerous complaints about its absence. Laurence Rowe.
2014-01-29 21:39:01 +01:00
select json_array_elements('[1,true,[1,[2,3]],null,{"f1":1,"f2":[7,8,9]},false,"stringy"]');
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
json_array_elements
-----------------------
1
true
[1,[2,3]]
null
{"f1":1,"f2":[7,8,9]}
false
Add json_array_elements_text function. This was a notable omission from the json functions added in 9.3 and there have been numerous complaints about its absence. Laurence Rowe.
2014-01-29 21:39:01 +01:00
"stringy"
(7 rows)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
Add json_array_elements_text function. This was a notable omission from the json functions added in 9.3 and there have been numerous complaints about its absence. Laurence Rowe.
2014-01-29 21:39:01 +01:00
select * from json_array_elements('[1,true,[1,[2,3]],null,{"f1":1,"f2":[7,8,9]},false,"stringy"]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
value
-----------------------
1
true
[1,[2,3]]
null
{"f1":1,"f2":[7,8,9]}
false
Add json_array_elements_text function. This was a notable omission from the json functions added in 9.3 and there have been numerous complaints about its absence. Laurence Rowe.
2014-01-29 21:39:01 +01:00
"stringy"
(7 rows)
select json_array_elements_text('[1,true,[1,[2,3]],null,{"f1":1,"f2":[7,8,9]},false,"stringy"]');
json_array_elements_text
--------------------------
1
true
[1,[2,3]]
{"f1":1,"f2":[7,8,9]}
false
stringy
(7 rows)
select * from json_array_elements_text('[1,true,[1,[2,3]],null,{"f1":1,"f2":[7,8,9]},false,"stringy"]') q;
value
-----------------------
1
true
[1,[2,3]]
{"f1":1,"f2":[7,8,9]}
false
stringy
(7 rows)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
-- populate_record
create type jpop as (a text, b int, c timestamp);
select * from json_populate_record(null::jpop,'{"a":"blurfl","x":43.2}') q;
a | b | c
--------+---+---
blurfl | |
(1 row)
select * from json_populate_record(row('x',3,'2012-12-31 15:30:56')::jpop,'{"a":"blurfl","x":43.2}') q;
a | b | c
--------+---+--------------------------
blurfl | 3 | Mon Dec 31 15:30:56 2012
(1 row)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_record(null::jpop,'{"a":"blurfl","x":43.2}') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
--------+---+---
blurfl | |
(1 row)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_record(row('x',3,'2012-12-31 15:30:56')::jpop,'{"a":"blurfl","x":43.2}') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
--------+---+--------------------------
blurfl | 3 | Mon Dec 31 15:30:56 2012
(1 row)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_record(null::jpop,'{"a":[100,200,false],"x":43.2}') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
-----------------+---+---
[100,200,false] | |
(1 row)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_record(row('x',3,'2012-12-31 15:30:56')::jpop,'{"a":[100,200,false],"x":43.2}') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
-----------------+---+--------------------------
[100,200,false] | 3 | Mon Dec 31 15:30:56 2012
(1 row)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_record(row('x',3,'2012-12-31 15:30:56')::jpop,'{"c":[100,200,false],"x":43.2}') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
ERROR: invalid input syntax for type timestamp: "[100,200,false]"
-- populate_recordset
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(null::jpop,'[{"a":"blurfl","x":43.2},{"b":3,"c":"2012-01-20 10:42:53"}]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
--------+---+--------------------------
blurfl | |
| 3 | Fri Jan 20 10:42:53 2012
(2 rows)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(row('def',99,null)::jpop,'[{"a":"blurfl","x":43.2},{"b":3,"c":"2012-01-20 10:42:53"}]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
--------+----+--------------------------
blurfl | 99 |
def | 3 | Fri Jan 20 10:42:53 2012
(2 rows)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(null::jpop,'[{"a":"blurfl","x":43.2},{"b":3,"c":"2012-01-20 10:42:53"}]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
--------+---+--------------------------
blurfl | |
| 3 | Fri Jan 20 10:42:53 2012
(2 rows)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(row('def',99,null)::jpop,'[{"a":"blurfl","x":43.2},{"b":3,"c":"2012-01-20 10:42:53"}]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
--------+----+--------------------------
blurfl | 99 |
def | 3 | Fri Jan 20 10:42:53 2012
(2 rows)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(row('def',99,null)::jpop,'[{"a":[100,200,300],"x":43.2},{"a":{"z":true},"b":3,"c":"2012-01-20 10:42:53"}]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
a | b | c
---------------+----+--------------------------
[100,200,300] | 99 |
{"z":true} | 3 | Fri Jan 20 10:42:53 2012
(2 rows)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(row('def',99,null)::jpop,'[{"c":[100,200,300],"x":43.2},{"a":{"z":true},"b":3,"c":"2012-01-20 10:42:53"}]') q;
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
ERROR: invalid input syntax for type timestamp: "[100,200,300]"
Fix handling of nested JSON objects in json_populate_recordset and friends. populate_recordset_object_start() improperly created a new hash table (overwriting the link to the existing one) if called at nest levels greater than one. This resulted in previous fields not appearing in the final output, as reported by Matti Hameister in bug #10728. In 9.4 the problem also affects json_to_recordset. This perhaps missed detection earlier because the default behavior is to throw an error for nested objects: you have to pass use_json_as_text = true to see the problem. In addition, fix query-lifespan leakage of the hashtable created by json_populate_record(). This is pretty much the same problem recently fixed in dblink: creating an intended-to-be-temporary context underneath the executor's per-tuple context isn't enough to make it go away at the end of the tuple cycle, because MemoryContextReset is not MemoryContextResetAndDeleteChildren. Michael Paquier and Tom Lane
2014-06-25 06:22:40 +02:00
create type jpop2 as (a int, b json, c int, d int);
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_populate_recordset(null::jpop2, '[{"a":2,"c":3,"b":{"z":4},"d":6}]') q;
Fix handling of nested JSON objects in json_populate_recordset and friends. populate_recordset_object_start() improperly created a new hash table (overwriting the link to the existing one) if called at nest levels greater than one. This resulted in previous fields not appearing in the final output, as reported by Matti Hameister in bug #10728. In 9.4 the problem also affects json_to_recordset. This perhaps missed detection earlier because the default behavior is to throw an error for nested objects: you have to pass use_json_as_text = true to see the problem. In addition, fix query-lifespan leakage of the hashtable created by json_populate_record(). This is pretty much the same problem recently fixed in dblink: creating an intended-to-be-temporary context underneath the executor's per-tuple context isn't enough to make it go away at the end of the tuple cycle, because MemoryContextReset is not MemoryContextResetAndDeleteChildren. Michael Paquier and Tom Lane
2014-06-25 06:22:40 +02:00
a | b | c | d
---+---------+---+---
2 | {"z":4} | 3 | 6
(1 row)
Add new JSON processing functions and parser API. The JSON parser is converted into a recursive descent parser, and exposed for use by other modules such as extensions. The API provides hooks for all the significant parser event such as the beginning and end of objects and arrays, and providing functions to handle these hooks allows for fairly simple construction of a wide variety of JSON processing functions. A set of new basic processing functions and operators is also added, which use this API, including operations to extract array elements, object fields, get the length of arrays and the set of keys of a field, deconstruct an object into a set of key/value pairs, and create records from JSON objects and arrays of objects. Catalog version bumped. Andrew Dunstan, with some documentation assistance from Merlin Moncure.
2013-03-29 19:12:13 +01:00
select * from json_populate_recordset(null::jpop,'[{"a":"blurfl","x":43.2},{"b":3,"c":"2012-01-20 10:42:53"}]') q;
a | b | c
--------+---+--------------------------
blurfl | |
| 3 | Fri Jan 20 10:42:53 2012
(2 rows)
select * from json_populate_recordset(row('def',99,null)::jpop,'[{"a":"blurfl","x":43.2},{"b":3,"c":"2012-01-20 10:42:53"}]') q;
a | b | c
--------+----+--------------------------
blurfl | 99 |
def | 3 | Fri Jan 20 10:42:53 2012
(2 rows)
select * from json_populate_recordset(row('def',99,null)::jpop,'[{"a":[100,200,300],"x":43.2},{"a":{"z":true},"b":3,"c":"2012-01-20 10:42:53"}]') q;
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
a | b | c
---------------+----+--------------------------
[100,200,300] | 99 |
{"z":true} | 3 | Fri Jan 20 10:42:53 2012
(2 rows)
json_typeof function. Andrew Tipton.
2013-10-10 18:21:59 +02:00
--json_typeof() function
select value, json_typeof(value)
Fix whitespace issues found by git diff --check, add gitattributes Set per file type attributes in .gitattributes to fine-tune whitespace checks. With the associated cleanups, the tree is now clean for git
2013-11-10 15:20:52 +01:00
from (values (json '123.4'),
(json '-1'),
(json '"foo"'),
(json 'true'),
(json 'false'),
json_typeof function. Andrew Tipton.
2013-10-10 18:21:59 +02:00
(json 'null'),
Fix whitespace issues found by git diff --check, add gitattributes Set per file type attributes in .gitattributes to fine-tune whitespace checks. With the associated cleanups, the tree is now clean for git
2013-11-10 15:20:52 +01:00
(json '[1, 2, 3]'),
(json '[]'),
(json '{"x":"foo", "y":123}'),
(json '{}'),
json_typeof function. Andrew Tipton.
2013-10-10 18:21:59 +02:00
(NULL::json))
as data(value);
value | json_typeof
----------------------+-------------
123.4 | number
-1 | number
"foo" | string
true | boolean
false | boolean
null | null
[1, 2, 3] | array
[] | array
{"x":"foo", "y":123} | object
{} | object
|
(11 rows)
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
-- json_build_array, json_build_object, json_object_agg
SELECT json_build_array('a',1,'b',1.2,'c',true,'d',null,'e',json '{"x": 3, "y": [1,2,3]}');
json_build_array
-----------------------------------------------------------------------
["a", 1, "b", 1.2, "c", true, "d", null, "e", {"x": 3, "y": [1,2,3]}]
(1 row)
SELECT json_build_object('a',1,'b',1.2,'c',true,'d',null,'e',json '{"x": 3, "y": [1,2,3]}');
json_build_object
----------------------------------------------------------------------------
{"a" : 1, "b" : 1.2, "c" : true, "d" : null, "e" : {"x": 3, "y": [1,2,3]}}
(1 row)
SELECT json_build_object(
'a', json_build_object('b',false,'c',99),
'd', json_build_object('e',array[9,8,7]::int[],
'f', (select row_to_json(r) from ( select relkind, oid::regclass as name from pg_class where relname = 'pg_class') r)));
json_build_object
-------------------------------------------------------------------------------------------------
{"a" : {"b" : false, "c" : 99}, "d" : {"e" : [9,8,7], "f" : {"relkind":"r","name":"pg_class"}}}
(1 row)
-- empty objects/arrays
SELECT json_build_array();
json_build_array
------------------
[]
(1 row)
SELECT json_build_object();
json_build_object
-------------------
{}
(1 row)
-- make sure keys are quoted
SELECT json_build_object(1,2);
json_build_object
-------------------
{"1" : 2}
(1 row)
-- keys must be scalar and not null
SELECT json_build_object(null,2);
Improve some JSON error messages. These messages are new in 9.4, which hasn't been released yet, so back-patch to REL9_4_STABLE. Daniele Varrazzo
2014-08-05 18:26:25 +02:00
ERROR: argument 1 cannot be null
HINT: Object keys should be text.
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
SELECT json_build_object(r,2) FROM (SELECT 1 AS a, 2 AS b) r;
Add missing serial commas Also update one place where the wal_level "logical" was not added to an error message.
2014-07-15 14:25:27 +02:00
ERROR: key value must be scalar, not array, composite, or json
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
SELECT json_build_object(json '{"a":1,"b":2}', 3);
Add missing serial commas Also update one place where the wal_level "logical" was not added to an error message.
2014-07-15 14:25:27 +02:00
ERROR: key value must be scalar, not array, composite, or json
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
SELECT json_build_object('{1,2,3}'::int[], 3);
Add missing serial commas Also update one place where the wal_level "logical" was not added to an error message.
2014-07-15 14:25:27 +02:00
ERROR: key value must be scalar, not array, composite, or json
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
CREATE TEMP TABLE foo (serial_num int, name text, type text);
INSERT INTO foo VALUES (847001,'t15','GE1043');
INSERT INTO foo VALUES (847002,'t16','GE1043');
INSERT INTO foo VALUES (847003,'sub-alpha','GESS90');
SELECT json_build_object('turbines',json_object_agg(serial_num,json_build_object('name',name,'type',type)))
FROM foo;
json_build_object
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------
{"turbines" : { "847001" : {"name" : "t15", "type" : "GE1043"}, "847002" : {"name" : "t16", "type" : "GE1043"}, "847003" : {"name" : "sub-alpha", "type" : "GESS90"} }}
(1 row)
Fix treatment of nulls in jsonb_agg and jsonb_object_agg The wrong is_null flag was being passed to datum_to_json. Also, null object key values are not permitted, and this was not being checked for. Add regression tests covering these cases, and also add those tests to the json set, even though it was doing the right thing. Fixes bug #13514, initially diagnosed by Tom Lane.
2015-07-24 15:40:46 +02:00
SELECT json_object_agg(name, type) FROM foo;
json_object_agg
----------------------------------------------------------------
{ "t15" : "GE1043", "t16" : "GE1043", "sub-alpha" : "GESS90" }
(1 row)
INSERT INTO foo VALUES (999999, NULL, 'bar');
SELECT json_object_agg(name, type) FROM foo;
ERROR: field name must not be null
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
-- json_object
Fix two-argument jsonb_object when called with empty arrays Some over-eager copy-and-pasting on my part resulted in a nonsense result being returned in this case. I have adopted the same pattern for handling this case as is used in the one argument form of the function, i.e. we just skip over the code that adds values to the object. Diagnosis and patch from Michael Paquier, although not quite his solution. Fixes bug #13936. Backpatch to 9.5 where jsonb_object was introduced.
2016-02-21 16:30:49 +01:00
-- empty object, one dimension
SELECT json_object('{}');
json_object
-------------
{}
(1 row)
-- empty object, two dimensions
SELECT json_object('{}', '{}');
json_object
-------------
{}
(1 row)
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
-- one dimension
SELECT json_object('{a,1,b,2,3,NULL,"d e f","a b c"}');
json_object
-------------------------------------------------------
{"a" : "1", "b" : "2", "3" : null, "d e f" : "a b c"}
(1 row)
-- same but with two dimensions
SELECT json_object('{{a,1},{b,2},{3,NULL},{"d e f","a b c"}}');
json_object
-------------------------------------------------------
{"a" : "1", "b" : "2", "3" : null, "d e f" : "a b c"}
(1 row)
-- odd number error
SELECT json_object('{a,b,c}');
ERROR: array must have even number of elements
-- one column error
SELECT json_object('{{a},{b}}');
ERROR: array must have two columns
-- too many columns error
SELECT json_object('{{a,b,c},{b,c,d}}');
ERROR: array must have two columns
-- too many dimensions error
SELECT json_object('{{{a,b},{c,d}},{{b,c},{d,e}}}');
ERROR: wrong number of array subscripts
--two argument form of json_object
select json_object('{a,b,c,"d e f"}','{1,2,3,"a b c"}');
json_object
------------------------------------------------------
{"a" : "1", "b" : "2", "c" : "3", "d e f" : "a b c"}
(1 row)
-- too many dimensions
SELECT json_object('{{a,1},{b,2},{3,NULL},{"d e f","a b c"}}', '{{a,1},{b,2},{3,NULL},{"d e f","a b c"}}');
ERROR: wrong number of array subscripts
-- mismatched dimensions
select json_object('{a,b,c,"d e f",g}','{1,2,3,"a b c"}');
ERROR: mismatched array dimensions
select json_object('{a,b,c,"d e f"}','{1,2,3,"a b c",g}');
ERROR: mismatched array dimensions
-- null key error
select json_object('{a,b,NULL,"d e f"}','{1,2,3,"a b c"}');
ERROR: null value not allowed for object key
Allow empty string object keys in json_object(). This makes the behaviour consistent with the json parser, other json-generating functions, and the JSON standards.
2014-07-22 17:22:47 +02:00
-- empty key is allowed
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
select json_object('{a,b,"","d e f"}','{1,2,3,"a b c"}');
Allow empty string object keys in json_object(). This makes the behaviour consistent with the json parser, other json-generating functions, and the JSON standards.
2014-07-22 17:22:47 +02:00
json_object
-----------------------------------------------------
{"a" : "1", "b" : "2", "" : "3", "d e f" : "a b c"}
(1 row)
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
-- json_to_record and json_to_recordset
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_to_record('{"a":1,"b":"foo","c":"bar"}')
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
as x(a int, b text, d text);
a | b | d
---+-----+---
1 | foo |
(1 row)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_to_recordset('[{"a":1,"b":"foo","d":false},{"a":2,"b":"bar","c":true}]')
New json functions. json_build_array() and json_build_object allow for the construction of arbitrarily complex json trees. json_object() turns a one or two dimensional array, or two separate arrays, into a json_object of name/value pairs, similarly to the hstore() function. json_object_agg() aggregates its two arguments into a single json object as name value pairs. Catalog version bumped. Andrew Dunstan, reviewed by Marko Tiikkaja.
2014-01-28 23:48:21 +01:00
as x(a int, b text, c boolean);
a | b | c
---+-----+---
1 | foo |
2 | bar | t
(2 rows)
Remove use_json_as_text options from json_to_record/json_populate_record. The "false" case was really quite useless since all it did was to throw an error; a definition not helped in the least by making it the default. Instead let's just have the "true" case, which emits nested objects and arrays in JSON syntax. We might later want to provide the ability to emit sub-objects in Postgres record or array syntax, but we'd be best off to drive that off a check of the target field datatype, not a separate argument. For the functions newly added in 9.4, we can just remove the flag arguments outright. We can't do that for json_populate_record[set], which already existed in 9.3, but we can ignore the argument and always behave as if it were "true". It helps that the flag arguments were optional and not documented in any useful fashion anyway.
2014-06-29 19:50:58 +02:00
select * from json_to_recordset('[{"a":1,"b":{"d":"foo"},"c":true},{"a":2,"c":false,"b":{"d":"bar"}}]')
Fix handling of nested JSON objects in json_populate_recordset and friends. populate_recordset_object_start() improperly created a new hash table (overwriting the link to the existing one) if called at nest levels greater than one. This resulted in previous fields not appearing in the final output, as reported by Matti Hameister in bug #10728. In 9.4 the problem also affects json_to_recordset. This perhaps missed detection earlier because the default behavior is to throw an error for nested objects: you have to pass use_json_as_text = true to see the problem. In addition, fix query-lifespan leakage of the hashtable created by json_populate_record(). This is pretty much the same problem recently fixed in dblink: creating an intended-to-be-temporary context underneath the executor's per-tuple context isn't enough to make it go away at the end of the tuple cycle, because MemoryContextReset is not MemoryContextResetAndDeleteChildren. Michael Paquier and Tom Lane
2014-06-25 06:22:40 +02:00
as x(a int, b json, c boolean);
a | b | c
---+-------------+---
1 | {"d":"foo"} | t
2 | {"d":"bar"} | f
(2 rows)
Fix json_to_record() bug with nested objects. A thinko concerning nesting depth caused json_to_record() to produce bogus output if a field of its input object contained a sub-object with a field name matching one of the requested output column names. Per bug #13996 from Johann Visagie. I added a regression test case based on his example, plus parallel tests for json_to_recordset, jsonb_to_record, jsonb_to_recordset. The latter three do not exhibit the same bug (which suggests that we may be missing some opportunities to share code...) but testing seems like a good idea in any case. Back-patch to 9.4 where these functions were introduced.
2016-03-03 05:31:39 +01:00
select *, c is null as c_is_null
from json_to_record('{"a":1, "b":{"c":16, "d":2}, "x":8}'::json)
as t(a int, b json, c text, x int);
a | b | c | x | c_is_null
---+-----------------+---+---+-----------
1 | {"c":16, "d":2} | | 8 | t
(1 row)
select *, c is null as c_is_null
from json_to_recordset('[{"a":1, "b":{"c":16, "d":2}, "x":8}]'::json)
as t(a int, b json, c text, x int);
a | b | c | x | c_is_null
---+-----------------+---+---+-----------
1 | {"c":16, "d":2} | | 8 | t
(1 row)
Add json_strip_nulls and jsonb_strip_nulls functions. The functions remove object fields, including in nested objects, that have null as a value. In certain cases this can lead to considerably smaller datums, with no loss of semantic information. Andrew Dunstan, reviewed by Pavel Stehule.
2014-12-12 15:00:43 +01:00
-- json_strip_nulls
select json_strip_nulls(null);
json_strip_nulls
------------------
(1 row)
select json_strip_nulls('1');
json_strip_nulls
------------------
1
(1 row)
select json_strip_nulls('"a string"');
json_strip_nulls
------------------
"a string"
(1 row)
select json_strip_nulls('null');
json_strip_nulls
------------------
null
(1 row)
select json_strip_nulls('[1,2,null,3,4]');
json_strip_nulls
------------------
[1,2,null,3,4]
(1 row)
select json_strip_nulls('{"a":1,"b":null,"c":[2,null,3],"d":{"e":4,"f":null}}');
json_strip_nulls
------------------------------------
{"a":1,"c":[2,null,3],"d":{"e":4}}
(1 row)
select json_strip_nulls('[1,{"a":1,"b":null,"c":2},3]');
json_strip_nulls
---------------------
[1,{"a":1,"c":2},3]
(1 row)
-- an empty object is not null and should not be stripped
select json_strip_nulls('{"a": {"b": null, "c": null}, "d": {} }');
json_strip_nulls
------------------
{"a":{},"d":{}}
(1 row)