postgresql/src/interfaces/ecpg/test/expected/sql-sqljson_jsontable.c

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Add basic JSON_TABLE() functionality JSON_TABLE() allows JSON data to be converted into a relational view and thus used, for example, in a FROM clause, like other tabular data. Data to show in the view is selected from a source JSON object using a JSON path expression to get a sequence of JSON objects that's called a "row pattern", which becomes the source to compute the SQL/JSON values that populate the view's output columns. Column values themselves are computed using JSON path expressions applied to each of the JSON objects comprising the "row pattern", for which the SQL/JSON query functions added in 6185c9737cf4 are used. To implement JSON_TABLE() as a table function, this augments the TableFunc and TableFuncScanState nodes that are currently used to support XMLTABLE() with some JSON_TABLE()-specific fields. Note that the JSON_TABLE() spec includes NESTED COLUMNS and PLAN clauses, which are required to provide more flexibility to extract data out of nested JSON objects, but they are not implemented here to keep this commit of manageable size. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-04 12:57:08 +02:00
/* Processed by ecpg (regression mode) */
/* These include files are added by the preprocessor */
#include <ecpglib.h>
#include <ecpgerrno.h>
#include <sqlca.h>
/* End of automatic include section */
#define ECPGdebug(X,Y) ECPGdebug((X)+100,(Y))
#line 1 "sqljson_jsontable.pgc"
#include <stdio.h>
#line 1 "sqlca.h"
#ifndef POSTGRES_SQLCA_H
#define POSTGRES_SQLCA_H
#ifndef PGDLLIMPORT
#if defined(WIN32) || defined(__CYGWIN__)
#define PGDLLIMPORT __declspec (dllimport)
#else
#define PGDLLIMPORT
#endif /* __CYGWIN__ */
#endif /* PGDLLIMPORT */
#define SQLERRMC_LEN 150
#ifdef __cplusplus
extern "C"
{
#endif
struct sqlca_t
{
char sqlcaid[8];
long sqlabc;
long sqlcode;
struct
{
int sqlerrml;
char sqlerrmc[SQLERRMC_LEN];
} sqlerrm;
char sqlerrp[8];
long sqlerrd[6];
/* Element 0: empty */
/* 1: OID of processed tuple if applicable */
/* 2: number of rows processed */
/* after an INSERT, UPDATE or */
/* DELETE statement */
/* 3: empty */
/* 4: empty */
/* 5: empty */
char sqlwarn[8];
/* Element 0: set to 'W' if at least one other is 'W' */
/* 1: if 'W' at least one character string */
/* value was truncated when it was */
/* stored into a host variable. */
/*
* 2: if 'W' a (hopefully) non-fatal notice occurred
*/ /* 3: empty */
/* 4: empty */
/* 5: empty */
/* 6: empty */
/* 7: empty */
char sqlstate[5];
};
struct sqlca_t *ECPGget_sqlca(void);
#ifndef POSTGRES_ECPG_INTERNAL
#define sqlca (*ECPGget_sqlca())
#endif
#ifdef __cplusplus
}
#endif
#endif
#line 3 "sqljson_jsontable.pgc"
#line 1 "regression.h"
#line 4 "sqljson_jsontable.pgc"
/* exec sql whenever sqlerror sqlprint ; */
#line 6 "sqljson_jsontable.pgc"
int
main ()
{
/* exec sql begin declare section */
#line 12 "sqljson_jsontable.pgc"
int foo ;
/* exec sql end declare section */
#line 13 "sqljson_jsontable.pgc"
ECPGdebug (1, stderr);
{ ECPGconnect(__LINE__, 0, "ecpg1_regression" , NULL, NULL , NULL, 0);
#line 17 "sqljson_jsontable.pgc"
if (sqlca.sqlcode < 0) sqlprint();}
#line 17 "sqljson_jsontable.pgc"
{ ECPGsetcommit(__LINE__, "on", NULL);
#line 18 "sqljson_jsontable.pgc"
if (sqlca.sqlcode < 0) sqlprint();}
#line 18 "sqljson_jsontable.pgc"
{ ECPGdo(__LINE__, 0, 1, NULL, 0, ECPGst_normal, "select foo from json_table ( jsonb '[{\"foo\":1}]' , '$[*]' as p0 columns ( foo int ) ) jt ( foo )", ECPGt_EOIT,
ECPGt_int,&(foo),(long)1,(long)1,sizeof(int),
ECPGt_NO_INDICATOR, NULL , 0L, 0L, 0L, ECPGt_EORT);
#line 23 "sqljson_jsontable.pgc"
if (sqlca.sqlcode < 0) sqlprint();}
#line 23 "sqljson_jsontable.pgc"
printf("Found foo=%d\n", foo);
JSON_TABLE: Add support for NESTED paths and columns A NESTED path allows to extract data from nested levels of JSON objects given by the parent path expression, which are projected as columns specified using a nested COLUMNS clause, just like the parent COLUMNS clause. Rows comprised from a NESTED columns are "joined" to the row comprised from the parent columns. If a particular NESTED path evaluates to 0 rows, then the nested COLUMNS will emit NULLs, making it an OUTER join. NESTED columns themselves may include NESTED paths to allow extracting data from arbitrary nesting levels, which are likewise joined against the rows at the parent level. Multiple NESTED paths at a given level are called "sibling" paths and their rows are combined by UNIONing them, that is, after being joined against the parent row as described above. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-08 08:58:58 +02:00
{ ECPGdo(__LINE__, 0, 1, NULL, 0, ECPGst_normal, "select foo from json_table ( jsonb '[{\"foo\":\"1\"}]' , '$[*]' as p0 columns ( nested '$' as p1 columns ( nested path '$' as p11 columns ( foo int ) ) ) ) jt ( foo )", ECPGt_EOIT,
ECPGt_int,&(foo),(long)1,(long)1,sizeof(int),
ECPGt_NO_INDICATOR, NULL , 0L, 0L, 0L, ECPGt_EORT);
#line 31 "sqljson_jsontable.pgc"
if (sqlca.sqlcode < 0) sqlprint();}
#line 31 "sqljson_jsontable.pgc"
printf("Found foo=%d\n", foo);
Add basic JSON_TABLE() functionality JSON_TABLE() allows JSON data to be converted into a relational view and thus used, for example, in a FROM clause, like other tabular data. Data to show in the view is selected from a source JSON object using a JSON path expression to get a sequence of JSON objects that's called a "row pattern", which becomes the source to compute the SQL/JSON values that populate the view's output columns. Column values themselves are computed using JSON path expressions applied to each of the JSON objects comprising the "row pattern", for which the SQL/JSON query functions added in 6185c9737cf4 are used. To implement JSON_TABLE() as a table function, this augments the TableFunc and TableFuncScanState nodes that are currently used to support XMLTABLE() with some JSON_TABLE()-specific fields. Note that the JSON_TABLE() spec includes NESTED COLUMNS and PLAN clauses, which are required to provide more flexibility to extract data out of nested JSON objects, but they are not implemented here to keep this commit of manageable size. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-04 12:57:08 +02:00
{ ECPGdisconnect(__LINE__, "CURRENT");
JSON_TABLE: Add support for NESTED paths and columns A NESTED path allows to extract data from nested levels of JSON objects given by the parent path expression, which are projected as columns specified using a nested COLUMNS clause, just like the parent COLUMNS clause. Rows comprised from a NESTED columns are "joined" to the row comprised from the parent columns. If a particular NESTED path evaluates to 0 rows, then the nested COLUMNS will emit NULLs, making it an OUTER join. NESTED columns themselves may include NESTED paths to allow extracting data from arbitrary nesting levels, which are likewise joined against the rows at the parent level. Multiple NESTED paths at a given level are called "sibling" paths and their rows are combined by UNIONing them, that is, after being joined against the parent row as described above. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-08 08:58:58 +02:00
#line 34 "sqljson_jsontable.pgc"
Add basic JSON_TABLE() functionality JSON_TABLE() allows JSON data to be converted into a relational view and thus used, for example, in a FROM clause, like other tabular data. Data to show in the view is selected from a source JSON object using a JSON path expression to get a sequence of JSON objects that's called a "row pattern", which becomes the source to compute the SQL/JSON values that populate the view's output columns. Column values themselves are computed using JSON path expressions applied to each of the JSON objects comprising the "row pattern", for which the SQL/JSON query functions added in 6185c9737cf4 are used. To implement JSON_TABLE() as a table function, this augments the TableFunc and TableFuncScanState nodes that are currently used to support XMLTABLE() with some JSON_TABLE()-specific fields. Note that the JSON_TABLE() spec includes NESTED COLUMNS and PLAN clauses, which are required to provide more flexibility to extract data out of nested JSON objects, but they are not implemented here to keep this commit of manageable size. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-04 12:57:08 +02:00
if (sqlca.sqlcode < 0) sqlprint();}
JSON_TABLE: Add support for NESTED paths and columns A NESTED path allows to extract data from nested levels of JSON objects given by the parent path expression, which are projected as columns specified using a nested COLUMNS clause, just like the parent COLUMNS clause. Rows comprised from a NESTED columns are "joined" to the row comprised from the parent columns. If a particular NESTED path evaluates to 0 rows, then the nested COLUMNS will emit NULLs, making it an OUTER join. NESTED columns themselves may include NESTED paths to allow extracting data from arbitrary nesting levels, which are likewise joined against the rows at the parent level. Multiple NESTED paths at a given level are called "sibling" paths and their rows are combined by UNIONing them, that is, after being joined against the parent row as described above. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-08 08:58:58 +02:00
#line 34 "sqljson_jsontable.pgc"
Add basic JSON_TABLE() functionality JSON_TABLE() allows JSON data to be converted into a relational view and thus used, for example, in a FROM clause, like other tabular data. Data to show in the view is selected from a source JSON object using a JSON path expression to get a sequence of JSON objects that's called a "row pattern", which becomes the source to compute the SQL/JSON values that populate the view's output columns. Column values themselves are computed using JSON path expressions applied to each of the JSON objects comprising the "row pattern", for which the SQL/JSON query functions added in 6185c9737cf4 are used. To implement JSON_TABLE() as a table function, this augments the TableFunc and TableFuncScanState nodes that are currently used to support XMLTABLE() with some JSON_TABLE()-specific fields. Note that the JSON_TABLE() spec includes NESTED COLUMNS and PLAN clauses, which are required to provide more flexibility to extract data out of nested JSON objects, but they are not implemented here to keep this commit of manageable size. Author: Nikita Glukhov <n.gluhov@postgrespro.ru> Author: Teodor Sigaev <teodor@sigaev.ru> Author: Oleg Bartunov <obartunov@gmail.com> Author: Alexander Korotkov <aekorotkov@gmail.com> Author: Andrew Dunstan <andrew@dunslane.net> Author: Amit Langote <amitlangote09@gmail.com> Author: Jian He <jian.universality@gmail.com> Reviewers have included (in no particular order): Andres Freund, Alexander Korotkov, Pavel Stehule, Andrew Alsup, Erik Rijkers, Zihong Yu, Himanshu Upadhyaya, Daniel Gustafsson, Justin Pryzby, Álvaro Herrera, Jian He Discussion: https://postgr.es/m/cd0bb935-0158-78a7-08b5-904886deac4b@postgrespro.ru Discussion: https://postgr.es/m/20220616233130.rparivafipt6doj3@alap3.anarazel.de Discussion: https://postgr.es/m/abd9b83b-aa66-f230-3d6d-734817f0995d%40postgresql.org Discussion: https://postgr.es/m/CA+HiwqE4XTdfb1nW=Ojoy_tQSRhYt-q_kb6i5d4xcKyrLC1Nbg@mail.gmail.com
2024-04-04 12:57:08 +02:00
return 0;
}