postgresql/contrib/pg_trgm/expected/pg_strict_word_trgm.out

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DROP INDEX trgm_idx2;
\copy test_trgm3 from 'data/trgm2.data'
ERROR: relation "test_trgm3" does not exist
Change floating-point output format for improved performance. Previously, floating-point output was done by rounding to a specific decimal precision; by default, to 6 or 15 decimal digits (losing information) or as requested using extra_float_digits. Drivers that wanted exact float values, and applications like pg_dump that must preserve values exactly, set extra_float_digits=3 (or sometimes 2 for historical reasons, though this isn't enough for float4). Unfortunately, decimal rounded output is slow enough to become a noticable bottleneck when dealing with large result sets or COPY of large tables when many floating-point values are involved. Floating-point output can be done much faster when the output is not rounded to a specific decimal length, but rather is chosen as the shortest decimal representation that is closer to the original float value than to any other value representable in the same precision. The recently published Ryu algorithm by Ulf Adams is both relatively simple and remarkably fast. Accordingly, change float4out/float8out to output shortest decimal representations if extra_float_digits is greater than 0, and make that the new default. Applications that need rounded output can set extra_float_digits back to 0 or below, and take the resulting performance hit. We make one concession to portability for systems with buggy floating-point input: we do not output decimal values that fall exactly halfway between adjacent representable binary values (which would rely on the reader doing round-to-nearest-even correctly). This is known to be a problem at least for VS2013 on Windows. Our version of the Ryu code originates from https://github.com/ulfjack/ryu/ at commit c9c3fb1979, but with the following (significant) modifications: - Output format is changed to use fixed-point notation for small exponents, as printf would, and also to use lowercase 'e', a minimum of 2 exponent digits, and a mandatory sign on the exponent, to keep the formatting as close as possible to previous output. - The output of exact midpoint values is disabled as noted above. - The integer fast-path code is changed somewhat (since we have fixed-point output and the upstream did not). - Our project style has been largely applied to the code with the exception of C99 declaration-after-statement, which has been retained as an exception to our present policy. - Most of upstream's debugging and conditionals are removed, and we use our own configure tests to determine things like uint128 availability. Changing the float output format obviously affects a number of regression tests. This patch uses an explicit setting of extra_float_digits=0 for test output that is not expected to be exactly reproducible (e.g. due to numerical instability or differing algorithms for transcendental functions). Conversions from floats to numeric are unchanged by this patch. These may appear in index expressions and it is not yet clear whether any change should be made, so that can be left for another day. This patch assumes that the only supported floating point format is now IEEE format, and the documentation is updated to reflect that. Code by me, adapting the work of Ulf Adams and other contributors. References: https://dl.acm.org/citation.cfm?id=3192369 Reviewed-by: Tom Lane, Andres Freund, Donald Dong Discussion: https://postgr.es/m/87r2el1bx6.fsf@news-spur.riddles.org.uk
2019-02-13 16:20:33 +01:00
-- reduce noise
set extra_float_digits = 0;
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where 'Baykal' <<% t order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
(17 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where 'Kabankala' <<% t order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
(4 rows)
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where t %>> 'Baykal' order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
(17 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where t %>> 'Kabankala' order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
(4 rows)
select t <->>> 'Alaikallupoddakulam', t from test_trgm2 order by t <->>> 'Alaikallupoddakulam' limit 7;
?column? | t
----------+--------------------------
0 | Alaikallupoddakulam
0.25 | Alaikallupodda Alankulam
0.32 | Alaikalluppodda Kulam
0.615385 | Mulaikallu Kulam
0.724138 | Koraikalapu Kulam
0.75 | Vaikaliththevakulam
0.766667 | Karaivaikal Kulam
(7 rows)
create index trgm_idx2 on test_trgm2 using gist (t gist_trgm_ops);
set enable_seqscan=off;
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where 'Baykal' <<% t order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
(17 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where 'Kabankala' <<% t order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
(4 rows)
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where t %>> 'Baykal' order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
(17 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where t %>> 'Kabankala' order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
(4 rows)
explain (costs off)
select t <->>> 'Alaikallupoddakulam', t from test_trgm2 order by t <->>> 'Alaikallupoddakulam' limit 7;
QUERY PLAN
---------------------------------------------------------
Limit
-> Index Scan using trgm_idx2 on test_trgm2
Order By: (t <->>> 'Alaikallupoddakulam'::text)
(3 rows)
select t <->>> 'Alaikallupoddakulam', t from test_trgm2 order by t <->>> 'Alaikallupoddakulam' limit 7;
?column? | t
----------+--------------------------
0 | Alaikallupoddakulam
0.25 | Alaikallupodda Alankulam
0.32 | Alaikalluppodda Kulam
0.615385 | Mulaikallu Kulam
0.724138 | Koraikalapu Kulam
0.75 | Vaikaliththevakulam
0.766667 | Karaivaikal Kulam
(7 rows)
drop index trgm_idx2;
create index trgm_idx2 on test_trgm2 using gin (t gin_trgm_ops);
set enable_seqscan=off;
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where 'Baykal' <<% t order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
(17 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where 'Kabankala' <<% t order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
(4 rows)
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where t %>> 'Baykal' order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
(17 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where t %>> 'Kabankala' order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
(4 rows)
set "pg_trgm.strict_word_similarity_threshold" to 0.4;
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where 'Baykal' <<% t order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
Zabaykal | 0.454545
Air Bakal-kecil | 0.444444
Bakal | 0.444444
Bakal Batu | 0.444444
Bakal Dos | 0.444444
Bakal Julu | 0.444444
Bakal Khel | 0.444444
Bakal Lama | 0.444444
Bakal Tres | 0.444444
Bakal Uno | 0.444444
Daang Bakal | 0.444444
Desa Bakal | 0.444444
Eat Bakal | 0.444444
Gunung Bakal | 0.444444
Sidi Bakal | 0.444444
Stantsiya Bakal | 0.444444
Sungai Bakal | 0.444444
Talang Bakal | 0.444444
Uruk Bakal | 0.444444
Zaouia Oulad Bakal | 0.444444
Baykalovskiy | 0.428571
Baykalovskiy Rayon | 0.428571
Baikal | 0.4
Baikal Airfield | 0.4
Baikal Business Centre | 0.4
Baikal Hotel Moscow | 0.4
Baikal Listvyanka Hotel | 0.4
Baikal Mountains | 0.4
Baikal Plaza | 0.4
Bajkal | 0.4
Bankal | 0.4
Bankal School | 0.4
Barkal | 0.4
Jabal Barkal | 0.4
Lake Baikal | 0.4
Oulad el Bakkal | 0.4
Sidi Mohammed Bakkal | 0.4
(54 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where 'Kabankala' <<% t order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
Kabikala | 0.461538
(5 rows)
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where t %>> 'Baykal' order by sml desc, t;
t | sml
-------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
Zabaykal | 0.454545
Air Bakal-kecil | 0.444444
Bakal | 0.444444
Bakal Batu | 0.444444
Bakal Dos | 0.444444
Bakal Julu | 0.444444
Bakal Khel | 0.444444
Bakal Lama | 0.444444
Bakal Tres | 0.444444
Bakal Uno | 0.444444
Daang Bakal | 0.444444
Desa Bakal | 0.444444
Eat Bakal | 0.444444
Gunung Bakal | 0.444444
Sidi Bakal | 0.444444
Stantsiya Bakal | 0.444444
Sungai Bakal | 0.444444
Talang Bakal | 0.444444
Uruk Bakal | 0.444444
Zaouia Oulad Bakal | 0.444444
Baykalovskiy | 0.428571
Baykalovskiy Rayon | 0.428571
Baikal | 0.4
Baikal Airfield | 0.4
Baikal Business Centre | 0.4
Baikal Hotel Moscow | 0.4
Baikal Listvyanka Hotel | 0.4
Baikal Mountains | 0.4
Baikal Plaza | 0.4
Bajkal | 0.4
Bankal | 0.4
Bankal School | 0.4
Barkal | 0.4
Jabal Barkal | 0.4
Lake Baikal | 0.4
Oulad el Bakkal | 0.4
Sidi Mohammed Bakkal | 0.4
(54 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where t %>> 'Kabankala' order by sml desc, t;
t | sml
------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
Kabikala | 0.461538
(5 rows)
set "pg_trgm.strict_word_similarity_threshold" to 0.2;
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where 'Baykal' <<% t order by sml desc, t;
t | sml
-----------------------------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
Zabaykal | 0.454545
Air Bakal-kecil | 0.444444
Bakal | 0.444444
Bakal Batu | 0.444444
Bakal Dos | 0.444444
Bakal Julu | 0.444444
Bakal Khel | 0.444444
Bakal Lama | 0.444444
Bakal Tres | 0.444444
Bakal Uno | 0.444444
Daang Bakal | 0.444444
Desa Bakal | 0.444444
Eat Bakal | 0.444444
Gunung Bakal | 0.444444
Sidi Bakal | 0.444444
Stantsiya Bakal | 0.444444
Sungai Bakal | 0.444444
Talang Bakal | 0.444444
Uruk Bakal | 0.444444
Zaouia Oulad Bakal | 0.444444
Baykalovskiy | 0.428571
Baykalovskiy Rayon | 0.428571
Baikal | 0.4
Baikal Airfield | 0.4
Baikal Business Centre | 0.4
Baikal Hotel Moscow | 0.4
Baikal Listvyanka Hotel | 0.4
Baikal Mountains | 0.4
Baikal Plaza | 0.4
Bajkal | 0.4
Bankal | 0.4
Bankal School | 0.4
Barkal | 0.4
Jabal Barkal | 0.4
Lake Baikal | 0.4
Oulad el Bakkal | 0.4
Sidi Mohammed Bakkal | 0.4
Bay of Backaland | 0.375
Boikalakalawa Bay | 0.375
Waikalabubu Bay | 0.375
Bairkal | 0.363636
Bairkal Dhora | 0.363636
Bairkal Jabal | 0.363636
Batikal | 0.363636
Bakaleyka | 0.307692
Bakkalmal | 0.307692
Bikal | 0.3
Al Barkali | 0.285714
Zabaykalka | 0.285714
Baidal | 0.272727
Baihal | 0.272727
Baipal | 0.272727
Bakala | 0.272727
Bakala Koupi | 0.272727
Bakale | 0.272727
Bakali | 0.272727
Bakall | 0.272727
Bakaly | 0.272727
Bakaly TV Mast | 0.272727
Buur Bakale | 0.272727
Gory Bakaly | 0.272727
Kusu-Bakali | 0.272727
Kwala Bakala | 0.272727
Mbay Bakala | 0.272727
Ngao Bakala | 0.272727
Sidi Mohammed el Bakali | 0.272727
Sopka Bakaly | 0.272727
Sungai Bakala | 0.272727
Urochishche Bakaly | 0.272727
Alue Bakkala | 0.25
Azib el Bakkali | 0.25
Ba Kaliin | 0.25
Baikaluobbal | 0.25
Bakalam | 0.25
Bakalan | 0.25
Bakalan Barat | 0.25
Bakalan Dua | 0.25
Bakalan Kidul | 0.25
Bakalan Kulon | 0.25
Bakalan Lor | 0.25
Bakalan River | 0.25
Bakalan Tengah | 0.25
Bakalan Wetan | 0.25
Bakalao Asibi Point | 0.25
Bakalao Point | 0.25
Bakalar Air Force Base (historical) | 0.25
Bakalar Lake | 0.25
Bakalar Library | 0.25
Bakalda | 0.25
Bakaldy | 0.25
Bakaley | 0.25
Bakalha | 0.25
Bakalia Char | 0.25
Bakalka | 0.25
Bakalod Island | 0.25
Bakalou | 0.25
Bakalua | 0.25
Bakalum | 0.25
Bakkala Cemetery | 0.25
Bankali | 0.25
Barkala | 0.25
Barkala Park | 0.25
Barkala Rao | 0.25
Barkala Reserved Forest | 0.25
Barkald | 0.25
Barkald stasjon | 0.25
Barkale | 0.25
Barkali | 0.25
Baukala | 0.25
Buur Bakaley | 0.25
Columbus Bakalar Municipal Airport | 0.25
Dakshin Bakalia | 0.25
Danau Bakalan | 0.25
Desa Bakalan | 0.25
Gunung Bakalan | 0.25
Kali Bakalan | 0.25
Khrebet Batkali | 0.25
Kordon Barkalo | 0.25
Krajan Bakalan | 0.25
Ovrag Bakalda | 0.25
Pulau Bakalan | 0.25
Selat Bakalan | 0.25
Teluk Bakalan | 0.25
Tukad Bakalan | 0.25
Urochishche Batkali | 0.25
Babakale | 0.230769
Babakalo | 0.230769
Bagkalen | 0.230769
Bakalalan Airport | 0.230769
Bakalang | 0.230769
Bakalarr | 0.230769
Bakalawa | 0.230769
Bakaldum | 0.230769
Bakaleko | 0.230769
Bakalica | 0.230769
Bakalino | 0.230769
Bakalite | 0.230769
Bakalovo | 0.230769
Bakalsen | 0.230769
Bakaltua Bank | 0.230769
Bakalukalu | 0.230769
Bakalukalu Shan | 0.230769
Bakkalia | 0.230769
Bankalol | 0.230769
Barkaleh | 0.230769
Barkalne | 0.230769
Barkalow Hollow | 0.230769
Bawkalut | 0.230769
Bawkalut Chaung | 0.230769
Clifton T Barkalow Elementary School | 0.230769
Efrejtor Bakalovo | 0.230769
Efreytor-Bakalovo | 0.230769
Gora Barkalyu | 0.230769
Ile Bakalibu | 0.230769
Khor Bakallii | 0.230769
Nehalla Bankalah Reserved Forest | 0.230769
Ragha Bakalzai | 0.230769
Tanjung Batikala | 0.230769
Teluk Bakalang | 0.230769
Urochishche Bakalovo | 0.230769
Banjar Kubakal | 0.222222
Darreh Pumba Kal | 0.222222
Zabaykalovskiy | 0.222222
Aparthotel Adagio Premium Dubai Al Barsha | 0.214286
Babakalia | 0.214286
Bahkalleh | 0.214286
Baikalovo | 0.214286
Bakalaale | 0.214286
Bakalabwa Pans | 0.214286
Bakalaeng | 0.214286
Bakalauri | 0.214286
Bakalbhar | 0.214286
Bakalbuah | 0.214286
Bakalerek | 0.214286
Bakalinga | 0.214286
Bakalipur | 0.214286
Bakaljaya | 0.214286
Bakalnica | 0.214286
Bakalongo | 0.214286
Bakalovka | 0.214286
Bakalrejo | 0.214286
Bakkalale | 0.214286
Bambakala | 0.214286
Bambakalo | 0.214286
Barkalare | 0.214286
Barkalden | 0.214286
Barkallou | 0.214286
Barkalova | 0.214286
Baskalino | 0.214286
Baskaltsi | 0.214286
Desa Bakalrejo | 0.214286
Doubletree By Hilton Dubai Al Barsha Hotel and Res | 0.214286
Doubletree By Hilton Hotel and Apartments Dubai Al Barsha | 0.214286
Doubletree Res.Dubai-Al Barsha | 0.214286
Gora Barkalova | 0.214286
Holiday Inn Dubai Al Barsha | 0.214286
Novotel Dubai Al Barsha | 0.214286
Park Inn By Radisson Dubai Al Barsha | 0.214286
Ramee Rose Hotel Dubai Al Barsha | 0.214286
Ras Barkallah | 0.214286
Salu Bakalaeng | 0.214286
Tanjung Bakalinga | 0.214286
Tubu Bakalekuk | 0.214286
Baikalakko | 0.2
Bakalauri1 | 0.2
Bakalauri2 | 0.2
Bakalauri3 | 0.2
Bakalauri4 | 0.2
Bakalauri5 | 0.2
Bakalauri6 | 0.2
Bakalauri7 | 0.2
Bakalauri8 | 0.2
Bakalauri9 | 0.2
Bakaldalam | 0.2
Bakaldukuh | 0.2
Bakaloolay | 0.2
Bakalovina | 0.2
Bakalpokok | 0.2
Bakalshile | 0.2
Bakalukudu | 0.2
Bambakalia | 0.2
Barkaladja Pool | 0.2
Barkalovka | 0.2
Bavkalasis | 0.2
Gora Bakalyadyr | 0.2
Kampong Bakaladong | 0.2
Urochishche Bakalarnyn-Ayasy | 0.2
Urochishche Bakaldikha | 0.2
(245 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where 'Kabankala' <<% t order by sml desc, t;
t | sml
----------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
Kabikala | 0.461538
Ntombankala School | 0.375
Nehalla Bankalah Reserved Forest | 0.357143
Jabba Kalai | 0.333333
Kambakala | 0.333333
Ker Samba Kalla | 0.333333
Bankal | 0.307692
Bankal School | 0.307692
Kanampumba-Kalawa | 0.307692
Bankali | 0.285714
Mwalaba-Kalamba | 0.285714
Tumba-Kalamba | 0.285714
Darreh Pumba Kal | 0.272727
Bankalol | 0.266667
Dabakala | 0.266667
Purba Kalaujan | 0.266667
Kali Purbakala | 0.263158
Dalabakala | 0.25
Demba Kali | 0.25
Gagaba Kalo | 0.25
Golba Kalo | 0.25
Habakkala | 0.25
Kali Bakalan | 0.25
Kimbakala | 0.25
Kombakala | 0.25
Jaba Kalle | 0.235294
Kaikalahun Indian Reserve 25 | 0.235294
Kwala Bakala | 0.235294
Gereba Kaler | 0.230769
Goth Soba Kaloi | 0.230769
Guba Kaldo | 0.230769
Gulba Kalle | 0.230769
Guba Kalgalaksha | 0.222222
Kalibakalako | 0.222222
Ba Kaliin | 0.214286
Bakala | 0.214286
Bakala Koupi | 0.214286
Bikala | 0.214286
Bikala Madila | 0.214286
Bugor Arba-Kalgan | 0.214286
Bumba-Kaloki | 0.214286
Guba Kalita | 0.214286
Kamba-Kalele | 0.214286
Mbay Bakala | 0.214286
Ngao Bakala | 0.214286
Sungai Bakala | 0.214286
Fayzabadkala | 0.210526
Gora Fayzabadkala | 0.210526
Alue Bakkala | 0.2
Bakkala Cemetery | 0.2
Barkala | 0.2
Barkala Park | 0.2
Barkala Rao | 0.2
Barkala Reserved Forest | 0.2
Baukala | 0.2
Beikala | 0.2
Bomba-Kalende | 0.2
Bumba-Kalumba | 0.2
Haikala | 0.2
Kahambikalela | 0.2
Kaikalapettai | 0.2
Kaikale | 0.2
Laikala | 0.2
Maikala Range | 0.2
Matamba-Kalenga | 0.2
Matamba-Kalenge | 0.2
Naikala | 0.2
Tumba-Kalumba | 0.2
Tumba-Kalunga | 0.2
Waikala | 0.2
(74 rows)
select t,strict_word_similarity('Baykal',t) as sml from test_trgm2 where t %>> 'Baykal' order by sml desc, t;
t | sml
-----------------------------------------------------------+----------
Baykal | 1
Boloto Baykal | 1
Boloto Malyy Baykal | 1
Kolkhoz Krasnyy Baykal | 1
Ozero Baykal | 1
Polevoy Stan Baykal | 1
Port Baykal | 1
Prud Novyy Baykal | 1
Sanatoriy Baykal | 1
Stantsiya Baykal | 1
Zaliv Baykal | 1
Baykalo-Amurskaya Zheleznaya Doroga | 0.666667
Baykalovo | 0.545455
Baykalsko | 0.545455
Maloye Baykalovo | 0.545455
Baykalikha | 0.5
Baykalovsk | 0.5
Zabaykal | 0.454545
Air Bakal-kecil | 0.444444
Bakal | 0.444444
Bakal Batu | 0.444444
Bakal Dos | 0.444444
Bakal Julu | 0.444444
Bakal Khel | 0.444444
Bakal Lama | 0.444444
Bakal Tres | 0.444444
Bakal Uno | 0.444444
Daang Bakal | 0.444444
Desa Bakal | 0.444444
Eat Bakal | 0.444444
Gunung Bakal | 0.444444
Sidi Bakal | 0.444444
Stantsiya Bakal | 0.444444
Sungai Bakal | 0.444444
Talang Bakal | 0.444444
Uruk Bakal | 0.444444
Zaouia Oulad Bakal | 0.444444
Baykalovskiy | 0.428571
Baykalovskiy Rayon | 0.428571
Baikal | 0.4
Baikal Airfield | 0.4
Baikal Business Centre | 0.4
Baikal Hotel Moscow | 0.4
Baikal Listvyanka Hotel | 0.4
Baikal Mountains | 0.4
Baikal Plaza | 0.4
Bajkal | 0.4
Bankal | 0.4
Bankal School | 0.4
Barkal | 0.4
Jabal Barkal | 0.4
Lake Baikal | 0.4
Oulad el Bakkal | 0.4
Sidi Mohammed Bakkal | 0.4
Bay of Backaland | 0.375
Boikalakalawa Bay | 0.375
Waikalabubu Bay | 0.375
Bairkal | 0.363636
Bairkal Dhora | 0.363636
Bairkal Jabal | 0.363636
Batikal | 0.363636
Bakaleyka | 0.307692
Bakkalmal | 0.307692
Bikal | 0.3
Al Barkali | 0.285714
Zabaykalka | 0.285714
Baidal | 0.272727
Baihal | 0.272727
Baipal | 0.272727
Bakala | 0.272727
Bakala Koupi | 0.272727
Bakale | 0.272727
Bakali | 0.272727
Bakall | 0.272727
Bakaly | 0.272727
Bakaly TV Mast | 0.272727
Buur Bakale | 0.272727
Gory Bakaly | 0.272727
Kusu-Bakali | 0.272727
Kwala Bakala | 0.272727
Mbay Bakala | 0.272727
Ngao Bakala | 0.272727
Sidi Mohammed el Bakali | 0.272727
Sopka Bakaly | 0.272727
Sungai Bakala | 0.272727
Urochishche Bakaly | 0.272727
Alue Bakkala | 0.25
Azib el Bakkali | 0.25
Ba Kaliin | 0.25
Baikaluobbal | 0.25
Bakalam | 0.25
Bakalan | 0.25
Bakalan Barat | 0.25
Bakalan Dua | 0.25
Bakalan Kidul | 0.25
Bakalan Kulon | 0.25
Bakalan Lor | 0.25
Bakalan River | 0.25
Bakalan Tengah | 0.25
Bakalan Wetan | 0.25
Bakalao Asibi Point | 0.25
Bakalao Point | 0.25
Bakalar Air Force Base (historical) | 0.25
Bakalar Lake | 0.25
Bakalar Library | 0.25
Bakalda | 0.25
Bakaldy | 0.25
Bakaley | 0.25
Bakalha | 0.25
Bakalia Char | 0.25
Bakalka | 0.25
Bakalod Island | 0.25
Bakalou | 0.25
Bakalua | 0.25
Bakalum | 0.25
Bakkala Cemetery | 0.25
Bankali | 0.25
Barkala | 0.25
Barkala Park | 0.25
Barkala Rao | 0.25
Barkala Reserved Forest | 0.25
Barkald | 0.25
Barkald stasjon | 0.25
Barkale | 0.25
Barkali | 0.25
Baukala | 0.25
Buur Bakaley | 0.25
Columbus Bakalar Municipal Airport | 0.25
Dakshin Bakalia | 0.25
Danau Bakalan | 0.25
Desa Bakalan | 0.25
Gunung Bakalan | 0.25
Kali Bakalan | 0.25
Khrebet Batkali | 0.25
Kordon Barkalo | 0.25
Krajan Bakalan | 0.25
Ovrag Bakalda | 0.25
Pulau Bakalan | 0.25
Selat Bakalan | 0.25
Teluk Bakalan | 0.25
Tukad Bakalan | 0.25
Urochishche Batkali | 0.25
Babakale | 0.230769
Babakalo | 0.230769
Bagkalen | 0.230769
Bakalalan Airport | 0.230769
Bakalang | 0.230769
Bakalarr | 0.230769
Bakalawa | 0.230769
Bakaldum | 0.230769
Bakaleko | 0.230769
Bakalica | 0.230769
Bakalino | 0.230769
Bakalite | 0.230769
Bakalovo | 0.230769
Bakalsen | 0.230769
Bakaltua Bank | 0.230769
Bakalukalu | 0.230769
Bakalukalu Shan | 0.230769
Bakkalia | 0.230769
Bankalol | 0.230769
Barkaleh | 0.230769
Barkalne | 0.230769
Barkalow Hollow | 0.230769
Bawkalut | 0.230769
Bawkalut Chaung | 0.230769
Clifton T Barkalow Elementary School | 0.230769
Efrejtor Bakalovo | 0.230769
Efreytor-Bakalovo | 0.230769
Gora Barkalyu | 0.230769
Ile Bakalibu | 0.230769
Khor Bakallii | 0.230769
Nehalla Bankalah Reserved Forest | 0.230769
Ragha Bakalzai | 0.230769
Tanjung Batikala | 0.230769
Teluk Bakalang | 0.230769
Urochishche Bakalovo | 0.230769
Banjar Kubakal | 0.222222
Darreh Pumba Kal | 0.222222
Zabaykalovskiy | 0.222222
Aparthotel Adagio Premium Dubai Al Barsha | 0.214286
Babakalia | 0.214286
Bahkalleh | 0.214286
Baikalovo | 0.214286
Bakalaale | 0.214286
Bakalabwa Pans | 0.214286
Bakalaeng | 0.214286
Bakalauri | 0.214286
Bakalbhar | 0.214286
Bakalbuah | 0.214286
Bakalerek | 0.214286
Bakalinga | 0.214286
Bakalipur | 0.214286
Bakaljaya | 0.214286
Bakalnica | 0.214286
Bakalongo | 0.214286
Bakalovka | 0.214286
Bakalrejo | 0.214286
Bakkalale | 0.214286
Bambakala | 0.214286
Bambakalo | 0.214286
Barkalare | 0.214286
Barkalden | 0.214286
Barkallou | 0.214286
Barkalova | 0.214286
Baskalino | 0.214286
Baskaltsi | 0.214286
Desa Bakalrejo | 0.214286
Doubletree By Hilton Dubai Al Barsha Hotel and Res | 0.214286
Doubletree By Hilton Hotel and Apartments Dubai Al Barsha | 0.214286
Doubletree Res.Dubai-Al Barsha | 0.214286
Gora Barkalova | 0.214286
Holiday Inn Dubai Al Barsha | 0.214286
Novotel Dubai Al Barsha | 0.214286
Park Inn By Radisson Dubai Al Barsha | 0.214286
Ramee Rose Hotel Dubai Al Barsha | 0.214286
Ras Barkallah | 0.214286
Salu Bakalaeng | 0.214286
Tanjung Bakalinga | 0.214286
Tubu Bakalekuk | 0.214286
Baikalakko | 0.2
Bakalauri1 | 0.2
Bakalauri2 | 0.2
Bakalauri3 | 0.2
Bakalauri4 | 0.2
Bakalauri5 | 0.2
Bakalauri6 | 0.2
Bakalauri7 | 0.2
Bakalauri8 | 0.2
Bakalauri9 | 0.2
Bakaldalam | 0.2
Bakaldukuh | 0.2
Bakaloolay | 0.2
Bakalovina | 0.2
Bakalpokok | 0.2
Bakalshile | 0.2
Bakalukudu | 0.2
Bambakalia | 0.2
Barkaladja Pool | 0.2
Barkalovka | 0.2
Bavkalasis | 0.2
Gora Bakalyadyr | 0.2
Kampong Bakaladong | 0.2
Urochishche Bakalarnyn-Ayasy | 0.2
Urochishche Bakaldikha | 0.2
(245 rows)
select t,strict_word_similarity('Kabankala',t) as sml from test_trgm2 where t %>> 'Kabankala' order by sml desc, t;
t | sml
----------------------------------+----------
Kabankala | 1
Kabankalan City Public Plaza | 0.75
Abankala | 0.583333
Kabakala | 0.583333
Kabikala | 0.461538
Ntombankala School | 0.375
Nehalla Bankalah Reserved Forest | 0.357143
Jabba Kalai | 0.333333
Kambakala | 0.333333
Ker Samba Kalla | 0.333333
Bankal | 0.307692
Bankal School | 0.307692
Kanampumba-Kalawa | 0.307692
Bankali | 0.285714
Mwalaba-Kalamba | 0.285714
Tumba-Kalamba | 0.285714
Darreh Pumba Kal | 0.272727
Bankalol | 0.266667
Dabakala | 0.266667
Purba Kalaujan | 0.266667
Kali Purbakala | 0.263158
Dalabakala | 0.25
Demba Kali | 0.25
Gagaba Kalo | 0.25
Golba Kalo | 0.25
Habakkala | 0.25
Kali Bakalan | 0.25
Kimbakala | 0.25
Kombakala | 0.25
Jaba Kalle | 0.235294
Kaikalahun Indian Reserve 25 | 0.235294
Kwala Bakala | 0.235294
Gereba Kaler | 0.230769
Goth Soba Kaloi | 0.230769
Guba Kaldo | 0.230769
Gulba Kalle | 0.230769
Guba Kalgalaksha | 0.222222
Kalibakalako | 0.222222
Ba Kaliin | 0.214286
Bakala | 0.214286
Bakala Koupi | 0.214286
Bikala | 0.214286
Bikala Madila | 0.214286
Bugor Arba-Kalgan | 0.214286
Bumba-Kaloki | 0.214286
Guba Kalita | 0.214286
Kamba-Kalele | 0.214286
Mbay Bakala | 0.214286
Ngao Bakala | 0.214286
Sungai Bakala | 0.214286
Fayzabadkala | 0.210526
Gora Fayzabadkala | 0.210526
Alue Bakkala | 0.2
Bakkala Cemetery | 0.2
Barkala | 0.2
Barkala Park | 0.2
Barkala Rao | 0.2
Barkala Reserved Forest | 0.2
Baukala | 0.2
Beikala | 0.2
Bomba-Kalende | 0.2
Bumba-Kalumba | 0.2
Haikala | 0.2
Kahambikalela | 0.2
Kaikalapettai | 0.2
Kaikale | 0.2
Laikala | 0.2
Maikala Range | 0.2
Matamba-Kalenga | 0.2
Matamba-Kalenge | 0.2
Naikala | 0.2
Tumba-Kalumba | 0.2
Tumba-Kalunga | 0.2
Waikala | 0.2
(74 rows)