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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:17:33 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:17:33 +0000
commit5e45211a64149b3c659b90ff2de6fa982a5a93ed (patch)
tree739caf8c461053357daa9f162bef34516c7bf452 /contrib/pg_trgm/expected
parentInitial commit. (diff)
downloadpostgresql-15-5e45211a64149b3c659b90ff2de6fa982a5a93ed.tar.xz
postgresql-15-5e45211a64149b3c659b90ff2de6fa982a5a93ed.zip
Adding upstream version 15.5.upstream/15.5
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'contrib/pg_trgm/expected')
-rw-r--r--contrib/pg_trgm/expected/pg_strict_word_trgm.out1027
-rw-r--r--contrib/pg_trgm/expected/pg_trgm.out5404
-rw-r--r--contrib/pg_trgm/expected/pg_word_trgm.out1052
3 files changed, 7483 insertions, 0 deletions
diff --git a/contrib/pg_trgm/expected/pg_strict_word_trgm.out b/contrib/pg_trgm/expected/pg_strict_word_trgm.out
new file mode 100644
index 0000000..1e1ee16
--- /dev/null
+++ b/contrib/pg_trgm/expected/pg_strict_word_trgm.out
@@ -0,0 +1,1027 @@
+DROP INDEX trgm_idx2;
+\copy test_trgm3 from 'data/trgm2.data'
+ERROR: relation "test_trgm3" does not exist
+-- 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)
+
diff --git a/contrib/pg_trgm/expected/pg_trgm.out b/contrib/pg_trgm/expected/pg_trgm.out
new file mode 100644
index 0000000..20141ce
--- /dev/null
+++ b/contrib/pg_trgm/expected/pg_trgm.out
@@ -0,0 +1,5404 @@
+CREATE EXTENSION pg_trgm;
+-- Check whether any of our opclasses fail amvalidate
+SELECT amname, opcname
+FROM pg_opclass opc LEFT JOIN pg_am am ON am.oid = opcmethod
+WHERE opc.oid >= 16384 AND NOT amvalidate(opc.oid);
+ amname | opcname
+--------+---------
+(0 rows)
+
+--backslash is used in tests below, installcheck will fail if
+--standard_conforming_string is off
+set standard_conforming_strings=on;
+-- reduce noise
+set extra_float_digits = 0;
+select show_trgm('');
+ show_trgm
+-----------
+ {}
+(1 row)
+
+select show_trgm('(*&^$@%@');
+ show_trgm
+-----------
+ {}
+(1 row)
+
+select show_trgm('a b c');
+ show_trgm
+---------------------------------------
+ {" a"," b"," c"," a "," b "," c "}
+(1 row)
+
+select show_trgm(' a b c ');
+ show_trgm
+---------------------------------------
+ {" a"," b"," c"," a "," b "," c "}
+(1 row)
+
+select show_trgm('aA bB cC');
+ show_trgm
+---------------------------------------------------------
+ {" a"," b"," c"," aa"," bb"," cc","aa ","bb ","cc "}
+(1 row)
+
+select show_trgm(' aA bB cC ');
+ show_trgm
+---------------------------------------------------------
+ {" a"," b"," c"," aa"," bb"," cc","aa ","bb ","cc "}
+(1 row)
+
+select show_trgm('a b C0*%^');
+ show_trgm
+---------------------------------------------
+ {" a"," b"," c"," a "," b "," c0","c0 "}
+(1 row)
+
+select similarity('wow','WOWa ');
+ similarity
+------------
+ 0.5
+(1 row)
+
+select similarity('wow',' WOW ');
+ similarity
+------------
+ 1
+(1 row)
+
+select similarity('---', '####---');
+ similarity
+------------
+ 0
+(1 row)
+
+CREATE TABLE test_trgm(t text COLLATE "C");
+\copy test_trgm from 'data/trgm.data'
+select t,similarity(t,'qwertyu0988') as sml from test_trgm where t % 'qwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 1
+ qwertyu0980 | 0.714286
+ qwertyu0981 | 0.714286
+ qwertyu0982 | 0.714286
+ qwertyu0983 | 0.714286
+ qwertyu0984 | 0.714286
+ qwertyu0985 | 0.714286
+ qwertyu0986 | 0.714286
+ qwertyu0987 | 0.714286
+ qwertyu0989 | 0.714286
+ qwertyu0088 | 0.6
+ qwertyu0098 | 0.6
+ qwertyu0188 | 0.6
+ qwertyu0288 | 0.6
+ qwertyu0388 | 0.6
+ qwertyu0488 | 0.6
+ qwertyu0588 | 0.6
+ qwertyu0688 | 0.6
+ qwertyu0788 | 0.6
+ qwertyu0888 | 0.6
+ qwertyu0900 | 0.6
+ qwertyu0901 | 0.6
+ qwertyu0902 | 0.6
+ qwertyu0903 | 0.6
+ qwertyu0904 | 0.6
+ qwertyu0905 | 0.6
+ qwertyu0906 | 0.6
+ qwertyu0907 | 0.6
+ qwertyu0908 | 0.6
+ qwertyu0909 | 0.6
+ qwertyu0910 | 0.6
+ qwertyu0911 | 0.6
+ qwertyu0912 | 0.6
+ qwertyu0913 | 0.6
+ qwertyu0914 | 0.6
+ qwertyu0915 | 0.6
+ qwertyu0916 | 0.6
+ qwertyu0917 | 0.6
+ qwertyu0918 | 0.6
+ qwertyu0919 | 0.6
+ qwertyu0920 | 0.6
+ qwertyu0921 | 0.6
+ qwertyu0922 | 0.6
+ qwertyu0923 | 0.6
+ qwertyu0924 | 0.6
+ qwertyu0925 | 0.6
+ qwertyu0926 | 0.6
+ qwertyu0927 | 0.6
+ qwertyu0928 | 0.6
+ qwertyu0929 | 0.6
+ qwertyu0930 | 0.6
+ qwertyu0931 | 0.6
+ qwertyu0932 | 0.6
+ qwertyu0933 | 0.6
+ qwertyu0934 | 0.6
+ qwertyu0935 | 0.6
+ qwertyu0936 | 0.6
+ qwertyu0937 | 0.6
+ qwertyu0938 | 0.6
+ qwertyu0939 | 0.6
+ qwertyu0940 | 0.6
+ qwertyu0941 | 0.6
+ qwertyu0942 | 0.6
+ qwertyu0943 | 0.6
+ qwertyu0944 | 0.6
+ qwertyu0945 | 0.6
+ qwertyu0946 | 0.6
+ qwertyu0947 | 0.6
+ qwertyu0948 | 0.6
+ qwertyu0949 | 0.6
+ qwertyu0950 | 0.6
+ qwertyu0951 | 0.6
+ qwertyu0952 | 0.6
+ qwertyu0953 | 0.6
+ qwertyu0954 | 0.6
+ qwertyu0955 | 0.6
+ qwertyu0956 | 0.6
+ qwertyu0957 | 0.6
+ qwertyu0958 | 0.6
+ qwertyu0959 | 0.6
+ qwertyu0960 | 0.6
+ qwertyu0961 | 0.6
+ qwertyu0962 | 0.6
+ qwertyu0963 | 0.6
+ qwertyu0964 | 0.6
+ qwertyu0965 | 0.6
+ qwertyu0966 | 0.6
+ qwertyu0967 | 0.6
+ qwertyu0968 | 0.6
+ qwertyu0969 | 0.6
+ qwertyu0970 | 0.6
+ qwertyu0971 | 0.6
+ qwertyu0972 | 0.6
+ qwertyu0973 | 0.6
+ qwertyu0974 | 0.6
+ qwertyu0975 | 0.6
+ qwertyu0976 | 0.6
+ qwertyu0977 | 0.6
+ qwertyu0978 | 0.6
+ qwertyu0979 | 0.6
+ qwertyu0990 | 0.6
+ qwertyu0991 | 0.6
+ qwertyu0992 | 0.6
+ qwertyu0993 | 0.6
+ qwertyu0994 | 0.6
+ qwertyu0995 | 0.6
+ qwertyu0996 | 0.6
+ qwertyu0997 | 0.6
+ qwertyu0998 | 0.6
+ qwertyu0999 | 0.6
+ qwertyu0001 | 0.5
+ qwertyu0002 | 0.5
+ qwertyu0003 | 0.5
+ qwertyu0004 | 0.5
+ qwertyu0005 | 0.5
+ qwertyu0006 | 0.5
+ qwertyu0007 | 0.5
+ qwertyu0008 | 0.5
+ qwertyu0009 | 0.5
+ qwertyu0010 | 0.5
+ qwertyu0011 | 0.5
+ qwertyu0012 | 0.5
+ qwertyu0013 | 0.5
+ qwertyu0014 | 0.5
+ qwertyu0015 | 0.5
+ qwertyu0016 | 0.5
+ qwertyu0017 | 0.5
+ qwertyu0018 | 0.5
+ qwertyu0019 | 0.5
+ qwertyu0020 | 0.5
+ qwertyu0021 | 0.5
+ qwertyu0022 | 0.5
+ qwertyu0023 | 0.5
+ qwertyu0024 | 0.5
+ qwertyu0025 | 0.5
+ qwertyu0026 | 0.5
+ qwertyu0027 | 0.5
+ qwertyu0028 | 0.5
+ qwertyu0029 | 0.5
+ qwertyu0030 | 0.5
+ qwertyu0031 | 0.5
+ qwertyu0032 | 0.5
+ qwertyu0033 | 0.5
+ qwertyu0034 | 0.5
+ qwertyu0035 | 0.5
+ qwertyu0036 | 0.5
+ qwertyu0037 | 0.5
+ qwertyu0038 | 0.5
+ qwertyu0039 | 0.5
+ qwertyu0040 | 0.5
+ qwertyu0041 | 0.5
+ qwertyu0042 | 0.5
+ qwertyu0043 | 0.5
+ qwertyu0044 | 0.5
+ qwertyu0045 | 0.5
+ qwertyu0046 | 0.5
+ qwertyu0047 | 0.5
+ qwertyu0048 | 0.5
+ qwertyu0049 | 0.5
+ qwertyu0050 | 0.5
+ qwertyu0051 | 0.5
+ qwertyu0052 | 0.5
+ qwertyu0053 | 0.5
+ qwertyu0054 | 0.5
+ qwertyu0055 | 0.5
+ qwertyu0056 | 0.5
+ qwertyu0057 | 0.5
+ qwertyu0058 | 0.5
+ qwertyu0059 | 0.5
+ qwertyu0060 | 0.5
+ qwertyu0061 | 0.5
+ qwertyu0062 | 0.5
+ qwertyu0063 | 0.5
+ qwertyu0064 | 0.5
+ qwertyu0065 | 0.5
+ qwertyu0066 | 0.5
+ qwertyu0067 | 0.5
+ qwertyu0068 | 0.5
+ qwertyu0069 | 0.5
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+ qwertyu0708 | 0.5
+ qwertyu0709 | 0.5
+ qwertyu0710 | 0.5
+ qwertyu0711 | 0.5
+ qwertyu0712 | 0.5
+ qwertyu0713 | 0.5
+ qwertyu0714 | 0.5
+ qwertyu0715 | 0.5
+ qwertyu0716 | 0.5
+ qwertyu0717 | 0.5
+ qwertyu0718 | 0.5
+ qwertyu0719 | 0.5
+ qwertyu0720 | 0.5
+ qwertyu0721 | 0.5
+ qwertyu0722 | 0.5
+ qwertyu0723 | 0.5
+ qwertyu0724 | 0.5
+ qwertyu0725 | 0.5
+ qwertyu0726 | 0.5
+ qwertyu0727 | 0.5
+ qwertyu0728 | 0.5
+ qwertyu0729 | 0.5
+ qwertyu0730 | 0.5
+ qwertyu0731 | 0.5
+ qwertyu0732 | 0.5
+ qwertyu0733 | 0.5
+ qwertyu0734 | 0.5
+ qwertyu0735 | 0.5
+ qwertyu0736 | 0.5
+ qwertyu0737 | 0.5
+ qwertyu0738 | 0.5
+ qwertyu0739 | 0.5
+ qwertyu0740 | 0.5
+ qwertyu0741 | 0.5
+ qwertyu0742 | 0.5
+ qwertyu0743 | 0.5
+ qwertyu0744 | 0.5
+ qwertyu0745 | 0.5
+ qwertyu0746 | 0.5
+ qwertyu0747 | 0.5
+ qwertyu0748 | 0.5
+ qwertyu0749 | 0.5
+ qwertyu0750 | 0.5
+ qwertyu0751 | 0.5
+ qwertyu0752 | 0.5
+ qwertyu0753 | 0.5
+ qwertyu0754 | 0.5
+ qwertyu0755 | 0.5
+ qwertyu0756 | 0.5
+ qwertyu0757 | 0.5
+ qwertyu0758 | 0.5
+ qwertyu0759 | 0.5
+ qwertyu0760 | 0.5
+ qwertyu0761 | 0.5
+ qwertyu0762 | 0.5
+ qwertyu0763 | 0.5
+ qwertyu0764 | 0.5
+ qwertyu0765 | 0.5
+ qwertyu0766 | 0.5
+ qwertyu0767 | 0.5
+ qwertyu0768 | 0.5
+ qwertyu0769 | 0.5
+ qwertyu0770 | 0.5
+ qwertyu0771 | 0.5
+ qwertyu0772 | 0.5
+ qwertyu0773 | 0.5
+ qwertyu0774 | 0.5
+ qwertyu0775 | 0.5
+ qwertyu0776 | 0.5
+ qwertyu0777 | 0.5
+ qwertyu0778 | 0.5
+ qwertyu0779 | 0.5
+ qwertyu0780 | 0.5
+ qwertyu0781 | 0.5
+ qwertyu0782 | 0.5
+ qwertyu0783 | 0.5
+ qwertyu0784 | 0.5
+ qwertyu0785 | 0.5
+ qwertyu0786 | 0.5
+ qwertyu0787 | 0.5
+ qwertyu0789 | 0.5
+ qwertyu0790 | 0.5
+ qwertyu0791 | 0.5
+ qwertyu0792 | 0.5
+ qwertyu0793 | 0.5
+ qwertyu0794 | 0.5
+ qwertyu0795 | 0.5
+ qwertyu0796 | 0.5
+ qwertyu0797 | 0.5
+ qwertyu0798 | 0.5
+ qwertyu0799 | 0.5
+ qwertyu0800 | 0.5
+ qwertyu0801 | 0.5
+ qwertyu0802 | 0.5
+ qwertyu0803 | 0.5
+ qwertyu0804 | 0.5
+ qwertyu0805 | 0.5
+ qwertyu0806 | 0.5
+ qwertyu0807 | 0.5
+ qwertyu0808 | 0.5
+ qwertyu0809 | 0.5
+ qwertyu0810 | 0.5
+ qwertyu0811 | 0.5
+ qwertyu0812 | 0.5
+ qwertyu0813 | 0.5
+ qwertyu0814 | 0.5
+ qwertyu0815 | 0.5
+ qwertyu0816 | 0.5
+ qwertyu0817 | 0.5
+ qwertyu0818 | 0.5
+ qwertyu0819 | 0.5
+ qwertyu0820 | 0.5
+ qwertyu0821 | 0.5
+ qwertyu0822 | 0.5
+ qwertyu0823 | 0.5
+ qwertyu0824 | 0.5
+ qwertyu0825 | 0.5
+ qwertyu0826 | 0.5
+ qwertyu0827 | 0.5
+ qwertyu0828 | 0.5
+ qwertyu0829 | 0.5
+ qwertyu0830 | 0.5
+ qwertyu0831 | 0.5
+ qwertyu0832 | 0.5
+ qwertyu0833 | 0.5
+ qwertyu0834 | 0.5
+ qwertyu0835 | 0.5
+ qwertyu0836 | 0.5
+ qwertyu0837 | 0.5
+ qwertyu0838 | 0.5
+ qwertyu0839 | 0.5
+ qwertyu0840 | 0.5
+ qwertyu0841 | 0.5
+ qwertyu0842 | 0.5
+ qwertyu0843 | 0.5
+ qwertyu0844 | 0.5
+ qwertyu0845 | 0.5
+ qwertyu0846 | 0.5
+ qwertyu0847 | 0.5
+ qwertyu0848 | 0.5
+ qwertyu0849 | 0.5
+ qwertyu0850 | 0.5
+ qwertyu0851 | 0.5
+ qwertyu0852 | 0.5
+ qwertyu0853 | 0.5
+ qwertyu0854 | 0.5
+ qwertyu0855 | 0.5
+ qwertyu0856 | 0.5
+ qwertyu0857 | 0.5
+ qwertyu0858 | 0.5
+ qwertyu0859 | 0.5
+ qwertyu0860 | 0.5
+ qwertyu0861 | 0.5
+ qwertyu0862 | 0.5
+ qwertyu0863 | 0.5
+ qwertyu0864 | 0.5
+ qwertyu0865 | 0.5
+ qwertyu0866 | 0.5
+ qwertyu0867 | 0.5
+ qwertyu0868 | 0.5
+ qwertyu0869 | 0.5
+ qwertyu0870 | 0.5
+ qwertyu0871 | 0.5
+ qwertyu0872 | 0.5
+ qwertyu0873 | 0.5
+ qwertyu0874 | 0.5
+ qwertyu0875 | 0.5
+ qwertyu0876 | 0.5
+ qwertyu0877 | 0.5
+ qwertyu0878 | 0.5
+ qwertyu0879 | 0.5
+ qwertyu0880 | 0.5
+ qwertyu0881 | 0.5
+ qwertyu0882 | 0.5
+ qwertyu0883 | 0.5
+ qwertyu0884 | 0.5
+ qwertyu0885 | 0.5
+ qwertyu0886 | 0.5
+ qwertyu0887 | 0.5
+ qwertyu0889 | 0.5
+ qwertyu0890 | 0.5
+ qwertyu0891 | 0.5
+ qwertyu0892 | 0.5
+ qwertyu0893 | 0.5
+ qwertyu0894 | 0.5
+ qwertyu0895 | 0.5
+ qwertyu0896 | 0.5
+ qwertyu0897 | 0.5
+ qwertyu0898 | 0.5
+ qwertyu0899 | 0.5
+ qwertyu1000 | 0.411765
+(1000 rows)
+
+select t,similarity(t,'gwertyu0988') as sml from test_trgm where t % 'gwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.6
+ qwertyu0980 | 0.411765
+ qwertyu0981 | 0.411765
+ qwertyu0982 | 0.411765
+ qwertyu0983 | 0.411765
+ qwertyu0984 | 0.411765
+ qwertyu0985 | 0.411765
+ qwertyu0986 | 0.411765
+ qwertyu0987 | 0.411765
+ qwertyu0989 | 0.411765
+ qwertyu0088 | 0.333333
+ qwertyu0098 | 0.333333
+ qwertyu0188 | 0.333333
+ qwertyu0288 | 0.333333
+ qwertyu0388 | 0.333333
+ qwertyu0488 | 0.333333
+ qwertyu0588 | 0.333333
+ qwertyu0688 | 0.333333
+ qwertyu0788 | 0.333333
+ qwertyu0888 | 0.333333
+ qwertyu0900 | 0.333333
+ qwertyu0901 | 0.333333
+ qwertyu0902 | 0.333333
+ qwertyu0903 | 0.333333
+ qwertyu0904 | 0.333333
+ qwertyu0905 | 0.333333
+ qwertyu0906 | 0.333333
+ qwertyu0907 | 0.333333
+ qwertyu0908 | 0.333333
+ qwertyu0909 | 0.333333
+ qwertyu0910 | 0.333333
+ qwertyu0911 | 0.333333
+ qwertyu0912 | 0.333333
+ qwertyu0913 | 0.333333
+ qwertyu0914 | 0.333333
+ qwertyu0915 | 0.333333
+ qwertyu0916 | 0.333333
+ qwertyu0917 | 0.333333
+ qwertyu0918 | 0.333333
+ qwertyu0919 | 0.333333
+ qwertyu0920 | 0.333333
+ qwertyu0921 | 0.333333
+ qwertyu0922 | 0.333333
+ qwertyu0923 | 0.333333
+ qwertyu0924 | 0.333333
+ qwertyu0925 | 0.333333
+ qwertyu0926 | 0.333333
+ qwertyu0927 | 0.333333
+ qwertyu0928 | 0.333333
+ qwertyu0929 | 0.333333
+ qwertyu0930 | 0.333333
+ qwertyu0931 | 0.333333
+ qwertyu0932 | 0.333333
+ qwertyu0933 | 0.333333
+ qwertyu0934 | 0.333333
+ qwertyu0935 | 0.333333
+ qwertyu0936 | 0.333333
+ qwertyu0937 | 0.333333
+ qwertyu0938 | 0.333333
+ qwertyu0939 | 0.333333
+ qwertyu0940 | 0.333333
+ qwertyu0941 | 0.333333
+ qwertyu0942 | 0.333333
+ qwertyu0943 | 0.333333
+ qwertyu0944 | 0.333333
+ qwertyu0945 | 0.333333
+ qwertyu0946 | 0.333333
+ qwertyu0947 | 0.333333
+ qwertyu0948 | 0.333333
+ qwertyu0949 | 0.333333
+ qwertyu0950 | 0.333333
+ qwertyu0951 | 0.333333
+ qwertyu0952 | 0.333333
+ qwertyu0953 | 0.333333
+ qwertyu0954 | 0.333333
+ qwertyu0955 | 0.333333
+ qwertyu0956 | 0.333333
+ qwertyu0957 | 0.333333
+ qwertyu0958 | 0.333333
+ qwertyu0959 | 0.333333
+ qwertyu0960 | 0.333333
+ qwertyu0961 | 0.333333
+ qwertyu0962 | 0.333333
+ qwertyu0963 | 0.333333
+ qwertyu0964 | 0.333333
+ qwertyu0965 | 0.333333
+ qwertyu0966 | 0.333333
+ qwertyu0967 | 0.333333
+ qwertyu0968 | 0.333333
+ qwertyu0969 | 0.333333
+ qwertyu0970 | 0.333333
+ qwertyu0971 | 0.333333
+ qwertyu0972 | 0.333333
+ qwertyu0973 | 0.333333
+ qwertyu0974 | 0.333333
+ qwertyu0975 | 0.333333
+ qwertyu0976 | 0.333333
+ qwertyu0977 | 0.333333
+ qwertyu0978 | 0.333333
+ qwertyu0979 | 0.333333
+ qwertyu0990 | 0.333333
+ qwertyu0991 | 0.333333
+ qwertyu0992 | 0.333333
+ qwertyu0993 | 0.333333
+ qwertyu0994 | 0.333333
+ qwertyu0995 | 0.333333
+ qwertyu0996 | 0.333333
+ qwertyu0997 | 0.333333
+ qwertyu0998 | 0.333333
+ qwertyu0999 | 0.333333
+(110 rows)
+
+select t,similarity(t,'gwertyu1988') as sml from test_trgm where t % 'gwertyu1988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.333333
+(1 row)
+
+select t <-> 'q0987wertyu0988', t from test_trgm order by t <-> 'q0987wertyu0988' limit 2;
+ ?column? | t
+----------+-------------
+ 0.411765 | qwertyu0988
+ 0.5 | qwertyu0987
+(2 rows)
+
+select count(*) from test_trgm where t ~ '[qwerty]{2}-?[qwerty]{2}';
+ count
+-------
+ 1000
+(1 row)
+
+create index trgm_idx on test_trgm using gist (t gist_trgm_ops);
+set enable_seqscan=off;
+select t,similarity(t,'qwertyu0988') as sml from test_trgm where t % 'qwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 1
+ qwertyu0980 | 0.714286
+ qwertyu0981 | 0.714286
+ qwertyu0982 | 0.714286
+ qwertyu0983 | 0.714286
+ qwertyu0984 | 0.714286
+ qwertyu0985 | 0.714286
+ qwertyu0986 | 0.714286
+ qwertyu0987 | 0.714286
+ qwertyu0989 | 0.714286
+ qwertyu0088 | 0.6
+ qwertyu0098 | 0.6
+ qwertyu0188 | 0.6
+ qwertyu0288 | 0.6
+ qwertyu0388 | 0.6
+ qwertyu0488 | 0.6
+ qwertyu0588 | 0.6
+ qwertyu0688 | 0.6
+ qwertyu0788 | 0.6
+ qwertyu0888 | 0.6
+ qwertyu0900 | 0.6
+ qwertyu0901 | 0.6
+ qwertyu0902 | 0.6
+ qwertyu0903 | 0.6
+ qwertyu0904 | 0.6
+ qwertyu0905 | 0.6
+ qwertyu0906 | 0.6
+ qwertyu0907 | 0.6
+ qwertyu0908 | 0.6
+ qwertyu0909 | 0.6
+ qwertyu0910 | 0.6
+ qwertyu0911 | 0.6
+ qwertyu0912 | 0.6
+ qwertyu0913 | 0.6
+ qwertyu0914 | 0.6
+ qwertyu0915 | 0.6
+ qwertyu0916 | 0.6
+ qwertyu0917 | 0.6
+ qwertyu0918 | 0.6
+ qwertyu0919 | 0.6
+ qwertyu0920 | 0.6
+ qwertyu0921 | 0.6
+ qwertyu0922 | 0.6
+ qwertyu0923 | 0.6
+ qwertyu0924 | 0.6
+ qwertyu0925 | 0.6
+ qwertyu0926 | 0.6
+ qwertyu0927 | 0.6
+ qwertyu0928 | 0.6
+ qwertyu0929 | 0.6
+ qwertyu0930 | 0.6
+ qwertyu0931 | 0.6
+ qwertyu0932 | 0.6
+ qwertyu0933 | 0.6
+ qwertyu0934 | 0.6
+ qwertyu0935 | 0.6
+ qwertyu0936 | 0.6
+ qwertyu0937 | 0.6
+ qwertyu0938 | 0.6
+ qwertyu0939 | 0.6
+ qwertyu0940 | 0.6
+ qwertyu0941 | 0.6
+ qwertyu0942 | 0.6
+ qwertyu0943 | 0.6
+ qwertyu0944 | 0.6
+ qwertyu0945 | 0.6
+ qwertyu0946 | 0.6
+ qwertyu0947 | 0.6
+ qwertyu0948 | 0.6
+ qwertyu0949 | 0.6
+ qwertyu0950 | 0.6
+ qwertyu0951 | 0.6
+ qwertyu0952 | 0.6
+ qwertyu0953 | 0.6
+ qwertyu0954 | 0.6
+ qwertyu0955 | 0.6
+ qwertyu0956 | 0.6
+ qwertyu0957 | 0.6
+ qwertyu0958 | 0.6
+ qwertyu0959 | 0.6
+ qwertyu0960 | 0.6
+ qwertyu0961 | 0.6
+ qwertyu0962 | 0.6
+ qwertyu0963 | 0.6
+ qwertyu0964 | 0.6
+ qwertyu0965 | 0.6
+ qwertyu0966 | 0.6
+ qwertyu0967 | 0.6
+ qwertyu0968 | 0.6
+ qwertyu0969 | 0.6
+ qwertyu0970 | 0.6
+ qwertyu0971 | 0.6
+ qwertyu0972 | 0.6
+ qwertyu0973 | 0.6
+ qwertyu0974 | 0.6
+ qwertyu0975 | 0.6
+ qwertyu0976 | 0.6
+ qwertyu0977 | 0.6
+ qwertyu0978 | 0.6
+ qwertyu0979 | 0.6
+ qwertyu0990 | 0.6
+ qwertyu0991 | 0.6
+ qwertyu0992 | 0.6
+ qwertyu0993 | 0.6
+ qwertyu0994 | 0.6
+ qwertyu0995 | 0.6
+ qwertyu0996 | 0.6
+ qwertyu0997 | 0.6
+ qwertyu0998 | 0.6
+ qwertyu0999 | 0.6
+ qwertyu0001 | 0.5
+ qwertyu0002 | 0.5
+ qwertyu0003 | 0.5
+ qwertyu0004 | 0.5
+ qwertyu0005 | 0.5
+ qwertyu0006 | 0.5
+ qwertyu0007 | 0.5
+ qwertyu0008 | 0.5
+ qwertyu0009 | 0.5
+ qwertyu0010 | 0.5
+ qwertyu0011 | 0.5
+ qwertyu0012 | 0.5
+ qwertyu0013 | 0.5
+ qwertyu0014 | 0.5
+ qwertyu0015 | 0.5
+ qwertyu0016 | 0.5
+ qwertyu0017 | 0.5
+ qwertyu0018 | 0.5
+ qwertyu0019 | 0.5
+ qwertyu0020 | 0.5
+ qwertyu0021 | 0.5
+ qwertyu0022 | 0.5
+ qwertyu0023 | 0.5
+ qwertyu0024 | 0.5
+ qwertyu0025 | 0.5
+ qwertyu0026 | 0.5
+ qwertyu0027 | 0.5
+ qwertyu0028 | 0.5
+ qwertyu0029 | 0.5
+ qwertyu0030 | 0.5
+ qwertyu0031 | 0.5
+ qwertyu0032 | 0.5
+ qwertyu0033 | 0.5
+ qwertyu0034 | 0.5
+ qwertyu0035 | 0.5
+ qwertyu0036 | 0.5
+ qwertyu0037 | 0.5
+ qwertyu0038 | 0.5
+ qwertyu0039 | 0.5
+ qwertyu0040 | 0.5
+ qwertyu0041 | 0.5
+ qwertyu0042 | 0.5
+ qwertyu0043 | 0.5
+ qwertyu0044 | 0.5
+ qwertyu0045 | 0.5
+ qwertyu0046 | 0.5
+ qwertyu0047 | 0.5
+ qwertyu0048 | 0.5
+ qwertyu0049 | 0.5
+ qwertyu0050 | 0.5
+ qwertyu0051 | 0.5
+ qwertyu0052 | 0.5
+ qwertyu0053 | 0.5
+ qwertyu0054 | 0.5
+ qwertyu0055 | 0.5
+ qwertyu0056 | 0.5
+ qwertyu0057 | 0.5
+ qwertyu0058 | 0.5
+ qwertyu0059 | 0.5
+ qwertyu0060 | 0.5
+ qwertyu0061 | 0.5
+ qwertyu0062 | 0.5
+ qwertyu0063 | 0.5
+ qwertyu0064 | 0.5
+ qwertyu0065 | 0.5
+ qwertyu0066 | 0.5
+ qwertyu0067 | 0.5
+ qwertyu0068 | 0.5
+ qwertyu0069 | 0.5
+ qwertyu0070 | 0.5
+ qwertyu0071 | 0.5
+ qwertyu0072 | 0.5
+ qwertyu0073 | 0.5
+ qwertyu0074 | 0.5
+ qwertyu0075 | 0.5
+ qwertyu0076 | 0.5
+ qwertyu0077 | 0.5
+ qwertyu0078 | 0.5
+ qwertyu0079 | 0.5
+ qwertyu0080 | 0.5
+ qwertyu0081 | 0.5
+ qwertyu0082 | 0.5
+ qwertyu0083 | 0.5
+ qwertyu0084 | 0.5
+ qwertyu0085 | 0.5
+ qwertyu0086 | 0.5
+ qwertyu0087 | 0.5
+ qwertyu0089 | 0.5
+ qwertyu0090 | 0.5
+ qwertyu0091 | 0.5
+ qwertyu0092 | 0.5
+ qwertyu0093 | 0.5
+ qwertyu0094 | 0.5
+ qwertyu0095 | 0.5
+ qwertyu0096 | 0.5
+ qwertyu0097 | 0.5
+ qwertyu0099 | 0.5
+ qwertyu0100 | 0.5
+ qwertyu0101 | 0.5
+ qwertyu0102 | 0.5
+ qwertyu0103 | 0.5
+ qwertyu0104 | 0.5
+ qwertyu0105 | 0.5
+ qwertyu0106 | 0.5
+ qwertyu0107 | 0.5
+ qwertyu0108 | 0.5
+ qwertyu0109 | 0.5
+ qwertyu0110 | 0.5
+ qwertyu0111 | 0.5
+ qwertyu0112 | 0.5
+ qwertyu0113 | 0.5
+ qwertyu0114 | 0.5
+ qwertyu0115 | 0.5
+ qwertyu0116 | 0.5
+ qwertyu0117 | 0.5
+ qwertyu0118 | 0.5
+ qwertyu0119 | 0.5
+ qwertyu0120 | 0.5
+ qwertyu0121 | 0.5
+ qwertyu0122 | 0.5
+ qwertyu0123 | 0.5
+ qwertyu0124 | 0.5
+ qwertyu0125 | 0.5
+ qwertyu0126 | 0.5
+ qwertyu0127 | 0.5
+ qwertyu0128 | 0.5
+ qwertyu0129 | 0.5
+ qwertyu0130 | 0.5
+ qwertyu0131 | 0.5
+ qwertyu0132 | 0.5
+ qwertyu0133 | 0.5
+ qwertyu0134 | 0.5
+ qwertyu0135 | 0.5
+ qwertyu0136 | 0.5
+ qwertyu0137 | 0.5
+ qwertyu0138 | 0.5
+ qwertyu0139 | 0.5
+ qwertyu0140 | 0.5
+ qwertyu0141 | 0.5
+ qwertyu0142 | 0.5
+ qwertyu0143 | 0.5
+ qwertyu0144 | 0.5
+ qwertyu0145 | 0.5
+ qwertyu0146 | 0.5
+ qwertyu0147 | 0.5
+ qwertyu0148 | 0.5
+ qwertyu0149 | 0.5
+ qwertyu0150 | 0.5
+ qwertyu0151 | 0.5
+ qwertyu0152 | 0.5
+ qwertyu0153 | 0.5
+ qwertyu0154 | 0.5
+ qwertyu0155 | 0.5
+ qwertyu0156 | 0.5
+ qwertyu0157 | 0.5
+ qwertyu0158 | 0.5
+ qwertyu0159 | 0.5
+ qwertyu0160 | 0.5
+ qwertyu0161 | 0.5
+ qwertyu0162 | 0.5
+ qwertyu0163 | 0.5
+ qwertyu0164 | 0.5
+ qwertyu0165 | 0.5
+ qwertyu0166 | 0.5
+ qwertyu0167 | 0.5
+ qwertyu0168 | 0.5
+ qwertyu0169 | 0.5
+ qwertyu0170 | 0.5
+ qwertyu0171 | 0.5
+ qwertyu0172 | 0.5
+ qwertyu0173 | 0.5
+ qwertyu0174 | 0.5
+ qwertyu0175 | 0.5
+ qwertyu0176 | 0.5
+ qwertyu0177 | 0.5
+ qwertyu0178 | 0.5
+ qwertyu0179 | 0.5
+ qwertyu0180 | 0.5
+ qwertyu0181 | 0.5
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+ qwertyu0819 | 0.5
+ qwertyu0820 | 0.5
+ qwertyu0821 | 0.5
+ qwertyu0822 | 0.5
+ qwertyu0823 | 0.5
+ qwertyu0824 | 0.5
+ qwertyu0825 | 0.5
+ qwertyu0826 | 0.5
+ qwertyu0827 | 0.5
+ qwertyu0828 | 0.5
+ qwertyu0829 | 0.5
+ qwertyu0830 | 0.5
+ qwertyu0831 | 0.5
+ qwertyu0832 | 0.5
+ qwertyu0833 | 0.5
+ qwertyu0834 | 0.5
+ qwertyu0835 | 0.5
+ qwertyu0836 | 0.5
+ qwertyu0837 | 0.5
+ qwertyu0838 | 0.5
+ qwertyu0839 | 0.5
+ qwertyu0840 | 0.5
+ qwertyu0841 | 0.5
+ qwertyu0842 | 0.5
+ qwertyu0843 | 0.5
+ qwertyu0844 | 0.5
+ qwertyu0845 | 0.5
+ qwertyu0846 | 0.5
+ qwertyu0847 | 0.5
+ qwertyu0848 | 0.5
+ qwertyu0849 | 0.5
+ qwertyu0850 | 0.5
+ qwertyu0851 | 0.5
+ qwertyu0852 | 0.5
+ qwertyu0853 | 0.5
+ qwertyu0854 | 0.5
+ qwertyu0855 | 0.5
+ qwertyu0856 | 0.5
+ qwertyu0857 | 0.5
+ qwertyu0858 | 0.5
+ qwertyu0859 | 0.5
+ qwertyu0860 | 0.5
+ qwertyu0861 | 0.5
+ qwertyu0862 | 0.5
+ qwertyu0863 | 0.5
+ qwertyu0864 | 0.5
+ qwertyu0865 | 0.5
+ qwertyu0866 | 0.5
+ qwertyu0867 | 0.5
+ qwertyu0868 | 0.5
+ qwertyu0869 | 0.5
+ qwertyu0870 | 0.5
+ qwertyu0871 | 0.5
+ qwertyu0872 | 0.5
+ qwertyu0873 | 0.5
+ qwertyu0874 | 0.5
+ qwertyu0875 | 0.5
+ qwertyu0876 | 0.5
+ qwertyu0877 | 0.5
+ qwertyu0878 | 0.5
+ qwertyu0879 | 0.5
+ qwertyu0880 | 0.5
+ qwertyu0881 | 0.5
+ qwertyu0882 | 0.5
+ qwertyu0883 | 0.5
+ qwertyu0884 | 0.5
+ qwertyu0885 | 0.5
+ qwertyu0886 | 0.5
+ qwertyu0887 | 0.5
+ qwertyu0889 | 0.5
+ qwertyu0890 | 0.5
+ qwertyu0891 | 0.5
+ qwertyu0892 | 0.5
+ qwertyu0893 | 0.5
+ qwertyu0894 | 0.5
+ qwertyu0895 | 0.5
+ qwertyu0896 | 0.5
+ qwertyu0897 | 0.5
+ qwertyu0898 | 0.5
+ qwertyu0899 | 0.5
+ qwertyu1000 | 0.411765
+(1000 rows)
+
+select t,similarity(t,'gwertyu0988') as sml from test_trgm where t % 'gwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.6
+ qwertyu0980 | 0.411765
+ qwertyu0981 | 0.411765
+ qwertyu0982 | 0.411765
+ qwertyu0983 | 0.411765
+ qwertyu0984 | 0.411765
+ qwertyu0985 | 0.411765
+ qwertyu0986 | 0.411765
+ qwertyu0987 | 0.411765
+ qwertyu0989 | 0.411765
+ qwertyu0088 | 0.333333
+ qwertyu0098 | 0.333333
+ qwertyu0188 | 0.333333
+ qwertyu0288 | 0.333333
+ qwertyu0388 | 0.333333
+ qwertyu0488 | 0.333333
+ qwertyu0588 | 0.333333
+ qwertyu0688 | 0.333333
+ qwertyu0788 | 0.333333
+ qwertyu0888 | 0.333333
+ qwertyu0900 | 0.333333
+ qwertyu0901 | 0.333333
+ qwertyu0902 | 0.333333
+ qwertyu0903 | 0.333333
+ qwertyu0904 | 0.333333
+ qwertyu0905 | 0.333333
+ qwertyu0906 | 0.333333
+ qwertyu0907 | 0.333333
+ qwertyu0908 | 0.333333
+ qwertyu0909 | 0.333333
+ qwertyu0910 | 0.333333
+ qwertyu0911 | 0.333333
+ qwertyu0912 | 0.333333
+ qwertyu0913 | 0.333333
+ qwertyu0914 | 0.333333
+ qwertyu0915 | 0.333333
+ qwertyu0916 | 0.333333
+ qwertyu0917 | 0.333333
+ qwertyu0918 | 0.333333
+ qwertyu0919 | 0.333333
+ qwertyu0920 | 0.333333
+ qwertyu0921 | 0.333333
+ qwertyu0922 | 0.333333
+ qwertyu0923 | 0.333333
+ qwertyu0924 | 0.333333
+ qwertyu0925 | 0.333333
+ qwertyu0926 | 0.333333
+ qwertyu0927 | 0.333333
+ qwertyu0928 | 0.333333
+ qwertyu0929 | 0.333333
+ qwertyu0930 | 0.333333
+ qwertyu0931 | 0.333333
+ qwertyu0932 | 0.333333
+ qwertyu0933 | 0.333333
+ qwertyu0934 | 0.333333
+ qwertyu0935 | 0.333333
+ qwertyu0936 | 0.333333
+ qwertyu0937 | 0.333333
+ qwertyu0938 | 0.333333
+ qwertyu0939 | 0.333333
+ qwertyu0940 | 0.333333
+ qwertyu0941 | 0.333333
+ qwertyu0942 | 0.333333
+ qwertyu0943 | 0.333333
+ qwertyu0944 | 0.333333
+ qwertyu0945 | 0.333333
+ qwertyu0946 | 0.333333
+ qwertyu0947 | 0.333333
+ qwertyu0948 | 0.333333
+ qwertyu0949 | 0.333333
+ qwertyu0950 | 0.333333
+ qwertyu0951 | 0.333333
+ qwertyu0952 | 0.333333
+ qwertyu0953 | 0.333333
+ qwertyu0954 | 0.333333
+ qwertyu0955 | 0.333333
+ qwertyu0956 | 0.333333
+ qwertyu0957 | 0.333333
+ qwertyu0958 | 0.333333
+ qwertyu0959 | 0.333333
+ qwertyu0960 | 0.333333
+ qwertyu0961 | 0.333333
+ qwertyu0962 | 0.333333
+ qwertyu0963 | 0.333333
+ qwertyu0964 | 0.333333
+ qwertyu0965 | 0.333333
+ qwertyu0966 | 0.333333
+ qwertyu0967 | 0.333333
+ qwertyu0968 | 0.333333
+ qwertyu0969 | 0.333333
+ qwertyu0970 | 0.333333
+ qwertyu0971 | 0.333333
+ qwertyu0972 | 0.333333
+ qwertyu0973 | 0.333333
+ qwertyu0974 | 0.333333
+ qwertyu0975 | 0.333333
+ qwertyu0976 | 0.333333
+ qwertyu0977 | 0.333333
+ qwertyu0978 | 0.333333
+ qwertyu0979 | 0.333333
+ qwertyu0990 | 0.333333
+ qwertyu0991 | 0.333333
+ qwertyu0992 | 0.333333
+ qwertyu0993 | 0.333333
+ qwertyu0994 | 0.333333
+ qwertyu0995 | 0.333333
+ qwertyu0996 | 0.333333
+ qwertyu0997 | 0.333333
+ qwertyu0998 | 0.333333
+ qwertyu0999 | 0.333333
+(110 rows)
+
+select t,similarity(t,'gwertyu1988') as sml from test_trgm where t % 'gwertyu1988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.333333
+(1 row)
+
+explain (costs off)
+select t <-> 'q0987wertyu0988', t from test_trgm order by t <-> 'q0987wertyu0988' limit 2;
+ QUERY PLAN
+---------------------------------------------------
+ Limit
+ -> Index Scan using trgm_idx on test_trgm
+ Order By: (t <-> 'q0987wertyu0988'::text)
+(3 rows)
+
+select t <-> 'q0987wertyu0988', t from test_trgm order by t <-> 'q0987wertyu0988' limit 2;
+ ?column? | t
+----------+-------------
+ 0.411765 | qwertyu0988
+ 0.5 | qwertyu0987
+(2 rows)
+
+select count(*) from test_trgm where t ~ '[qwerty]{2}-?[qwerty]{2}';
+ count
+-------
+ 1000
+(1 row)
+
+drop index trgm_idx;
+create index trgm_idx on test_trgm using gist (t gist_trgm_ops(siglen=0));
+ERROR: value 0 out of bounds for option "siglen"
+DETAIL: Valid values are between "1" and "2024".
+create index trgm_idx on test_trgm using gist (t gist_trgm_ops(siglen=2025));
+ERROR: value 2025 out of bounds for option "siglen"
+DETAIL: Valid values are between "1" and "2024".
+create index trgm_idx on test_trgm using gist (t gist_trgm_ops(siglen=2024));
+set enable_seqscan=off;
+select t,similarity(t,'qwertyu0988') as sml from test_trgm where t % 'qwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 1
+ qwertyu0980 | 0.714286
+ qwertyu0981 | 0.714286
+ qwertyu0982 | 0.714286
+ qwertyu0983 | 0.714286
+ qwertyu0984 | 0.714286
+ qwertyu0985 | 0.714286
+ qwertyu0986 | 0.714286
+ qwertyu0987 | 0.714286
+ qwertyu0989 | 0.714286
+ qwertyu0088 | 0.6
+ qwertyu0098 | 0.6
+ qwertyu0188 | 0.6
+ qwertyu0288 | 0.6
+ qwertyu0388 | 0.6
+ qwertyu0488 | 0.6
+ qwertyu0588 | 0.6
+ qwertyu0688 | 0.6
+ qwertyu0788 | 0.6
+ qwertyu0888 | 0.6
+ qwertyu0900 | 0.6
+ qwertyu0901 | 0.6
+ qwertyu0902 | 0.6
+ qwertyu0903 | 0.6
+ qwertyu0904 | 0.6
+ qwertyu0905 | 0.6
+ qwertyu0906 | 0.6
+ qwertyu0907 | 0.6
+ qwertyu0908 | 0.6
+ qwertyu0909 | 0.6
+ qwertyu0910 | 0.6
+ qwertyu0911 | 0.6
+ qwertyu0912 | 0.6
+ qwertyu0913 | 0.6
+ qwertyu0914 | 0.6
+ qwertyu0915 | 0.6
+ qwertyu0916 | 0.6
+ qwertyu0917 | 0.6
+ qwertyu0918 | 0.6
+ qwertyu0919 | 0.6
+ qwertyu0920 | 0.6
+ qwertyu0921 | 0.6
+ qwertyu0922 | 0.6
+ qwertyu0923 | 0.6
+ qwertyu0924 | 0.6
+ qwertyu0925 | 0.6
+ qwertyu0926 | 0.6
+ qwertyu0927 | 0.6
+ qwertyu0928 | 0.6
+ qwertyu0929 | 0.6
+ qwertyu0930 | 0.6
+ qwertyu0931 | 0.6
+ qwertyu0932 | 0.6
+ qwertyu0933 | 0.6
+ qwertyu0934 | 0.6
+ qwertyu0935 | 0.6
+ qwertyu0936 | 0.6
+ qwertyu0937 | 0.6
+ qwertyu0938 | 0.6
+ qwertyu0939 | 0.6
+ qwertyu0940 | 0.6
+ qwertyu0941 | 0.6
+ qwertyu0942 | 0.6
+ qwertyu0943 | 0.6
+ qwertyu0944 | 0.6
+ qwertyu0945 | 0.6
+ qwertyu0946 | 0.6
+ qwertyu0947 | 0.6
+ qwertyu0948 | 0.6
+ qwertyu0949 | 0.6
+ qwertyu0950 | 0.6
+ qwertyu0951 | 0.6
+ qwertyu0952 | 0.6
+ qwertyu0953 | 0.6
+ qwertyu0954 | 0.6
+ qwertyu0955 | 0.6
+ qwertyu0956 | 0.6
+ qwertyu0957 | 0.6
+ qwertyu0958 | 0.6
+ qwertyu0959 | 0.6
+ qwertyu0960 | 0.6
+ qwertyu0961 | 0.6
+ qwertyu0962 | 0.6
+ qwertyu0963 | 0.6
+ qwertyu0964 | 0.6
+ qwertyu0965 | 0.6
+ qwertyu0966 | 0.6
+ qwertyu0967 | 0.6
+ qwertyu0968 | 0.6
+ qwertyu0969 | 0.6
+ qwertyu0970 | 0.6
+ qwertyu0971 | 0.6
+ qwertyu0972 | 0.6
+ qwertyu0973 | 0.6
+ qwertyu0974 | 0.6
+ qwertyu0975 | 0.6
+ qwertyu0976 | 0.6
+ qwertyu0977 | 0.6
+ qwertyu0978 | 0.6
+ qwertyu0979 | 0.6
+ qwertyu0990 | 0.6
+ qwertyu0991 | 0.6
+ qwertyu0992 | 0.6
+ qwertyu0993 | 0.6
+ qwertyu0994 | 0.6
+ qwertyu0995 | 0.6
+ qwertyu0996 | 0.6
+ qwertyu0997 | 0.6
+ qwertyu0998 | 0.6
+ qwertyu0999 | 0.6
+ qwertyu0001 | 0.5
+ qwertyu0002 | 0.5
+ qwertyu0003 | 0.5
+ qwertyu0004 | 0.5
+ qwertyu0005 | 0.5
+ qwertyu0006 | 0.5
+ qwertyu0007 | 0.5
+ qwertyu0008 | 0.5
+ qwertyu0009 | 0.5
+ qwertyu0010 | 0.5
+ qwertyu0011 | 0.5
+ qwertyu0012 | 0.5
+ qwertyu0013 | 0.5
+ qwertyu0014 | 0.5
+ qwertyu0015 | 0.5
+ qwertyu0016 | 0.5
+ qwertyu0017 | 0.5
+ qwertyu0018 | 0.5
+ qwertyu0019 | 0.5
+ qwertyu0020 | 0.5
+ qwertyu0021 | 0.5
+ qwertyu0022 | 0.5
+ qwertyu0023 | 0.5
+ qwertyu0024 | 0.5
+ qwertyu0025 | 0.5
+ qwertyu0026 | 0.5
+ qwertyu0027 | 0.5
+ qwertyu0028 | 0.5
+ qwertyu0029 | 0.5
+ qwertyu0030 | 0.5
+ qwertyu0031 | 0.5
+ qwertyu0032 | 0.5
+ qwertyu0033 | 0.5
+ qwertyu0034 | 0.5
+ qwertyu0035 | 0.5
+ qwertyu0036 | 0.5
+ qwertyu0037 | 0.5
+ qwertyu0038 | 0.5
+ qwertyu0039 | 0.5
+ qwertyu0040 | 0.5
+ qwertyu0041 | 0.5
+ qwertyu0042 | 0.5
+ qwertyu0043 | 0.5
+ qwertyu0044 | 0.5
+ qwertyu0045 | 0.5
+ qwertyu0046 | 0.5
+ qwertyu0047 | 0.5
+ qwertyu0048 | 0.5
+ qwertyu0049 | 0.5
+ qwertyu0050 | 0.5
+ qwertyu0051 | 0.5
+ qwertyu0052 | 0.5
+ qwertyu0053 | 0.5
+ qwertyu0054 | 0.5
+ qwertyu0055 | 0.5
+ qwertyu0056 | 0.5
+ qwertyu0057 | 0.5
+ qwertyu0058 | 0.5
+ qwertyu0059 | 0.5
+ qwertyu0060 | 0.5
+ qwertyu0061 | 0.5
+ qwertyu0062 | 0.5
+ qwertyu0063 | 0.5
+ qwertyu0064 | 0.5
+ qwertyu0065 | 0.5
+ qwertyu0066 | 0.5
+ qwertyu0067 | 0.5
+ qwertyu0068 | 0.5
+ qwertyu0069 | 0.5
+ qwertyu0070 | 0.5
+ qwertyu0071 | 0.5
+ qwertyu0072 | 0.5
+ qwertyu0073 | 0.5
+ qwertyu0074 | 0.5
+ qwertyu0075 | 0.5
+ qwertyu0076 | 0.5
+ qwertyu0077 | 0.5
+ qwertyu0078 | 0.5
+ qwertyu0079 | 0.5
+ qwertyu0080 | 0.5
+ qwertyu0081 | 0.5
+ qwertyu0082 | 0.5
+ qwertyu0083 | 0.5
+ qwertyu0084 | 0.5
+ qwertyu0085 | 0.5
+ qwertyu0086 | 0.5
+ qwertyu0087 | 0.5
+ qwertyu0089 | 0.5
+ qwertyu0090 | 0.5
+ qwertyu0091 | 0.5
+ qwertyu0092 | 0.5
+ qwertyu0093 | 0.5
+ qwertyu0094 | 0.5
+ qwertyu0095 | 0.5
+ qwertyu0096 | 0.5
+ qwertyu0097 | 0.5
+ qwertyu0099 | 0.5
+ qwertyu0100 | 0.5
+ qwertyu0101 | 0.5
+ qwertyu0102 | 0.5
+ qwertyu0103 | 0.5
+ qwertyu0104 | 0.5
+ qwertyu0105 | 0.5
+ qwertyu0106 | 0.5
+ qwertyu0107 | 0.5
+ qwertyu0108 | 0.5
+ qwertyu0109 | 0.5
+ qwertyu0110 | 0.5
+ qwertyu0111 | 0.5
+ qwertyu0112 | 0.5
+ qwertyu0113 | 0.5
+ qwertyu0114 | 0.5
+ qwertyu0115 | 0.5
+ qwertyu0116 | 0.5
+ qwertyu0117 | 0.5
+ qwertyu0118 | 0.5
+ qwertyu0119 | 0.5
+ qwertyu0120 | 0.5
+ qwertyu0121 | 0.5
+ qwertyu0122 | 0.5
+ qwertyu0123 | 0.5
+ qwertyu0124 | 0.5
+ qwertyu0125 | 0.5
+ qwertyu0126 | 0.5
+ qwertyu0127 | 0.5
+ qwertyu0128 | 0.5
+ qwertyu0129 | 0.5
+ qwertyu0130 | 0.5
+ qwertyu0131 | 0.5
+ qwertyu0132 | 0.5
+ qwertyu0133 | 0.5
+ qwertyu0134 | 0.5
+ qwertyu0135 | 0.5
+ qwertyu0136 | 0.5
+ qwertyu0137 | 0.5
+ qwertyu0138 | 0.5
+ qwertyu0139 | 0.5
+ qwertyu0140 | 0.5
+ qwertyu0141 | 0.5
+ qwertyu0142 | 0.5
+ qwertyu0143 | 0.5
+ qwertyu0144 | 0.5
+ qwertyu0145 | 0.5
+ qwertyu0146 | 0.5
+ qwertyu0147 | 0.5
+ qwertyu0148 | 0.5
+ qwertyu0149 | 0.5
+ qwertyu0150 | 0.5
+ qwertyu0151 | 0.5
+ qwertyu0152 | 0.5
+ qwertyu0153 | 0.5
+ qwertyu0154 | 0.5
+ qwertyu0155 | 0.5
+ qwertyu0156 | 0.5
+ qwertyu0157 | 0.5
+ qwertyu0158 | 0.5
+ qwertyu0159 | 0.5
+ qwertyu0160 | 0.5
+ qwertyu0161 | 0.5
+ qwertyu0162 | 0.5
+ qwertyu0163 | 0.5
+ qwertyu0164 | 0.5
+ qwertyu0165 | 0.5
+ qwertyu0166 | 0.5
+ qwertyu0167 | 0.5
+ qwertyu0168 | 0.5
+ qwertyu0169 | 0.5
+ qwertyu0170 | 0.5
+ qwertyu0171 | 0.5
+ qwertyu0172 | 0.5
+ qwertyu0173 | 0.5
+ qwertyu0174 | 0.5
+ qwertyu0175 | 0.5
+ qwertyu0176 | 0.5
+ qwertyu0177 | 0.5
+ qwertyu0178 | 0.5
+ qwertyu0179 | 0.5
+ qwertyu0180 | 0.5
+ qwertyu0181 | 0.5
+ qwertyu0182 | 0.5
+ qwertyu0183 | 0.5
+ qwertyu0184 | 0.5
+ qwertyu0185 | 0.5
+ qwertyu0186 | 0.5
+ qwertyu0187 | 0.5
+ qwertyu0189 | 0.5
+ qwertyu0190 | 0.5
+ qwertyu0191 | 0.5
+ qwertyu0192 | 0.5
+ qwertyu0193 | 0.5
+ qwertyu0194 | 0.5
+ qwertyu0195 | 0.5
+ qwertyu0196 | 0.5
+ qwertyu0197 | 0.5
+ qwertyu0198 | 0.5
+ qwertyu0199 | 0.5
+ qwertyu0200 | 0.5
+ qwertyu0201 | 0.5
+ qwertyu0202 | 0.5
+ qwertyu0203 | 0.5
+ qwertyu0204 | 0.5
+ qwertyu0205 | 0.5
+ qwertyu0206 | 0.5
+ qwertyu0207 | 0.5
+ qwertyu0208 | 0.5
+ qwertyu0209 | 0.5
+ qwertyu0210 | 0.5
+ qwertyu0211 | 0.5
+ qwertyu0212 | 0.5
+ qwertyu0213 | 0.5
+ qwertyu0214 | 0.5
+ qwertyu0215 | 0.5
+ qwertyu0216 | 0.5
+ qwertyu0217 | 0.5
+ qwertyu0218 | 0.5
+ qwertyu0219 | 0.5
+ qwertyu0220 | 0.5
+ qwertyu0221 | 0.5
+ qwertyu0222 | 0.5
+ qwertyu0223 | 0.5
+ qwertyu0224 | 0.5
+ qwertyu0225 | 0.5
+ qwertyu0226 | 0.5
+ qwertyu0227 | 0.5
+ qwertyu0228 | 0.5
+ qwertyu0229 | 0.5
+ qwertyu0230 | 0.5
+ qwertyu0231 | 0.5
+ qwertyu0232 | 0.5
+ qwertyu0233 | 0.5
+ qwertyu0234 | 0.5
+ qwertyu0235 | 0.5
+ qwertyu0236 | 0.5
+ qwertyu0237 | 0.5
+ qwertyu0238 | 0.5
+ qwertyu0239 | 0.5
+ qwertyu0240 | 0.5
+ qwertyu0241 | 0.5
+ qwertyu0242 | 0.5
+ qwertyu0243 | 0.5
+ qwertyu0244 | 0.5
+ qwertyu0245 | 0.5
+ qwertyu0246 | 0.5
+ qwertyu0247 | 0.5
+ qwertyu0248 | 0.5
+ qwertyu0249 | 0.5
+ qwertyu0250 | 0.5
+ qwertyu0251 | 0.5
+ qwertyu0252 | 0.5
+ qwertyu0253 | 0.5
+ qwertyu0254 | 0.5
+ qwertyu0255 | 0.5
+ qwertyu0256 | 0.5
+ qwertyu0257 | 0.5
+ qwertyu0258 | 0.5
+ qwertyu0259 | 0.5
+ qwertyu0260 | 0.5
+ qwertyu0261 | 0.5
+ qwertyu0262 | 0.5
+ qwertyu0263 | 0.5
+ qwertyu0264 | 0.5
+ qwertyu0265 | 0.5
+ qwertyu0266 | 0.5
+ qwertyu0267 | 0.5
+ qwertyu0268 | 0.5
+ qwertyu0269 | 0.5
+ qwertyu0270 | 0.5
+ qwertyu0271 | 0.5
+ qwertyu0272 | 0.5
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+ qwertyu0899 | 0.5
+ qwertyu1000 | 0.411765
+(1000 rows)
+
+select t,similarity(t,'gwertyu0988') as sml from test_trgm where t % 'gwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.6
+ qwertyu0980 | 0.411765
+ qwertyu0981 | 0.411765
+ qwertyu0982 | 0.411765
+ qwertyu0983 | 0.411765
+ qwertyu0984 | 0.411765
+ qwertyu0985 | 0.411765
+ qwertyu0986 | 0.411765
+ qwertyu0987 | 0.411765
+ qwertyu0989 | 0.411765
+ qwertyu0088 | 0.333333
+ qwertyu0098 | 0.333333
+ qwertyu0188 | 0.333333
+ qwertyu0288 | 0.333333
+ qwertyu0388 | 0.333333
+ qwertyu0488 | 0.333333
+ qwertyu0588 | 0.333333
+ qwertyu0688 | 0.333333
+ qwertyu0788 | 0.333333
+ qwertyu0888 | 0.333333
+ qwertyu0900 | 0.333333
+ qwertyu0901 | 0.333333
+ qwertyu0902 | 0.333333
+ qwertyu0903 | 0.333333
+ qwertyu0904 | 0.333333
+ qwertyu0905 | 0.333333
+ qwertyu0906 | 0.333333
+ qwertyu0907 | 0.333333
+ qwertyu0908 | 0.333333
+ qwertyu0909 | 0.333333
+ qwertyu0910 | 0.333333
+ qwertyu0911 | 0.333333
+ qwertyu0912 | 0.333333
+ qwertyu0913 | 0.333333
+ qwertyu0914 | 0.333333
+ qwertyu0915 | 0.333333
+ qwertyu0916 | 0.333333
+ qwertyu0917 | 0.333333
+ qwertyu0918 | 0.333333
+ qwertyu0919 | 0.333333
+ qwertyu0920 | 0.333333
+ qwertyu0921 | 0.333333
+ qwertyu0922 | 0.333333
+ qwertyu0923 | 0.333333
+ qwertyu0924 | 0.333333
+ qwertyu0925 | 0.333333
+ qwertyu0926 | 0.333333
+ qwertyu0927 | 0.333333
+ qwertyu0928 | 0.333333
+ qwertyu0929 | 0.333333
+ qwertyu0930 | 0.333333
+ qwertyu0931 | 0.333333
+ qwertyu0932 | 0.333333
+ qwertyu0933 | 0.333333
+ qwertyu0934 | 0.333333
+ qwertyu0935 | 0.333333
+ qwertyu0936 | 0.333333
+ qwertyu0937 | 0.333333
+ qwertyu0938 | 0.333333
+ qwertyu0939 | 0.333333
+ qwertyu0940 | 0.333333
+ qwertyu0941 | 0.333333
+ qwertyu0942 | 0.333333
+ qwertyu0943 | 0.333333
+ qwertyu0944 | 0.333333
+ qwertyu0945 | 0.333333
+ qwertyu0946 | 0.333333
+ qwertyu0947 | 0.333333
+ qwertyu0948 | 0.333333
+ qwertyu0949 | 0.333333
+ qwertyu0950 | 0.333333
+ qwertyu0951 | 0.333333
+ qwertyu0952 | 0.333333
+ qwertyu0953 | 0.333333
+ qwertyu0954 | 0.333333
+ qwertyu0955 | 0.333333
+ qwertyu0956 | 0.333333
+ qwertyu0957 | 0.333333
+ qwertyu0958 | 0.333333
+ qwertyu0959 | 0.333333
+ qwertyu0960 | 0.333333
+ qwertyu0961 | 0.333333
+ qwertyu0962 | 0.333333
+ qwertyu0963 | 0.333333
+ qwertyu0964 | 0.333333
+ qwertyu0965 | 0.333333
+ qwertyu0966 | 0.333333
+ qwertyu0967 | 0.333333
+ qwertyu0968 | 0.333333
+ qwertyu0969 | 0.333333
+ qwertyu0970 | 0.333333
+ qwertyu0971 | 0.333333
+ qwertyu0972 | 0.333333
+ qwertyu0973 | 0.333333
+ qwertyu0974 | 0.333333
+ qwertyu0975 | 0.333333
+ qwertyu0976 | 0.333333
+ qwertyu0977 | 0.333333
+ qwertyu0978 | 0.333333
+ qwertyu0979 | 0.333333
+ qwertyu0990 | 0.333333
+ qwertyu0991 | 0.333333
+ qwertyu0992 | 0.333333
+ qwertyu0993 | 0.333333
+ qwertyu0994 | 0.333333
+ qwertyu0995 | 0.333333
+ qwertyu0996 | 0.333333
+ qwertyu0997 | 0.333333
+ qwertyu0998 | 0.333333
+ qwertyu0999 | 0.333333
+(110 rows)
+
+select t,similarity(t,'gwertyu1988') as sml from test_trgm where t % 'gwertyu1988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.333333
+(1 row)
+
+explain (costs off)
+select t <-> 'q0987wertyu0988', t from test_trgm order by t <-> 'q0987wertyu0988' limit 2;
+ QUERY PLAN
+---------------------------------------------------
+ Limit
+ -> Index Scan using trgm_idx on test_trgm
+ Order By: (t <-> 'q0987wertyu0988'::text)
+(3 rows)
+
+select t <-> 'q0987wertyu0988', t from test_trgm order by t <-> 'q0987wertyu0988' limit 2;
+ ?column? | t
+----------+-------------
+ 0.411765 | qwertyu0988
+ 0.5 | qwertyu0987
+(2 rows)
+
+select count(*) from test_trgm where t ~ '[qwerty]{2}-?[qwerty]{2}';
+ count
+-------
+ 1000
+(1 row)
+
+drop index trgm_idx;
+create index trgm_idx on test_trgm using gin (t gin_trgm_ops);
+set enable_seqscan=off;
+select t,similarity(t,'qwertyu0988') as sml from test_trgm where t % 'qwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 1
+ qwertyu0980 | 0.714286
+ qwertyu0981 | 0.714286
+ qwertyu0982 | 0.714286
+ qwertyu0983 | 0.714286
+ qwertyu0984 | 0.714286
+ qwertyu0985 | 0.714286
+ qwertyu0986 | 0.714286
+ qwertyu0987 | 0.714286
+ qwertyu0989 | 0.714286
+ qwertyu0088 | 0.6
+ qwertyu0098 | 0.6
+ qwertyu0188 | 0.6
+ qwertyu0288 | 0.6
+ qwertyu0388 | 0.6
+ qwertyu0488 | 0.6
+ qwertyu0588 | 0.6
+ qwertyu0688 | 0.6
+ qwertyu0788 | 0.6
+ qwertyu0888 | 0.6
+ qwertyu0900 | 0.6
+ qwertyu0901 | 0.6
+ qwertyu0902 | 0.6
+ qwertyu0903 | 0.6
+ qwertyu0904 | 0.6
+ qwertyu0905 | 0.6
+ qwertyu0906 | 0.6
+ qwertyu0907 | 0.6
+ qwertyu0908 | 0.6
+ qwertyu0909 | 0.6
+ qwertyu0910 | 0.6
+ qwertyu0911 | 0.6
+ qwertyu0912 | 0.6
+ qwertyu0913 | 0.6
+ qwertyu0914 | 0.6
+ qwertyu0915 | 0.6
+ qwertyu0916 | 0.6
+ qwertyu0917 | 0.6
+ qwertyu0918 | 0.6
+ qwertyu0919 | 0.6
+ qwertyu0920 | 0.6
+ qwertyu0921 | 0.6
+ qwertyu0922 | 0.6
+ qwertyu0923 | 0.6
+ qwertyu0924 | 0.6
+ qwertyu0925 | 0.6
+ qwertyu0926 | 0.6
+ qwertyu0927 | 0.6
+ qwertyu0928 | 0.6
+ qwertyu0929 | 0.6
+ qwertyu0930 | 0.6
+ qwertyu0931 | 0.6
+ qwertyu0932 | 0.6
+ qwertyu0933 | 0.6
+ qwertyu0934 | 0.6
+ qwertyu0935 | 0.6
+ qwertyu0936 | 0.6
+ qwertyu0937 | 0.6
+ qwertyu0938 | 0.6
+ qwertyu0939 | 0.6
+ qwertyu0940 | 0.6
+ qwertyu0941 | 0.6
+ qwertyu0942 | 0.6
+ qwertyu0943 | 0.6
+ qwertyu0944 | 0.6
+ qwertyu0945 | 0.6
+ qwertyu0946 | 0.6
+ qwertyu0947 | 0.6
+ qwertyu0948 | 0.6
+ qwertyu0949 | 0.6
+ qwertyu0950 | 0.6
+ qwertyu0951 | 0.6
+ qwertyu0952 | 0.6
+ qwertyu0953 | 0.6
+ qwertyu0954 | 0.6
+ qwertyu0955 | 0.6
+ qwertyu0956 | 0.6
+ qwertyu0957 | 0.6
+ qwertyu0958 | 0.6
+ qwertyu0959 | 0.6
+ qwertyu0960 | 0.6
+ qwertyu0961 | 0.6
+ qwertyu0962 | 0.6
+ qwertyu0963 | 0.6
+ qwertyu0964 | 0.6
+ qwertyu0965 | 0.6
+ qwertyu0966 | 0.6
+ qwertyu0967 | 0.6
+ qwertyu0968 | 0.6
+ qwertyu0969 | 0.6
+ qwertyu0970 | 0.6
+ qwertyu0971 | 0.6
+ qwertyu0972 | 0.6
+ qwertyu0973 | 0.6
+ qwertyu0974 | 0.6
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+ qwertyu0976 | 0.6
+ qwertyu0977 | 0.6
+ qwertyu0978 | 0.6
+ qwertyu0979 | 0.6
+ qwertyu0990 | 0.6
+ qwertyu0991 | 0.6
+ qwertyu0992 | 0.6
+ qwertyu0993 | 0.6
+ qwertyu0994 | 0.6
+ qwertyu0995 | 0.6
+ qwertyu0996 | 0.6
+ qwertyu0997 | 0.6
+ qwertyu0998 | 0.6
+ qwertyu0999 | 0.6
+ qwertyu0001 | 0.5
+ qwertyu0002 | 0.5
+ qwertyu0003 | 0.5
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+ qwertyu0021 | 0.5
+ qwertyu0022 | 0.5
+ qwertyu0023 | 0.5
+ qwertyu0024 | 0.5
+ qwertyu0025 | 0.5
+ qwertyu0026 | 0.5
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+ qwertyu0030 | 0.5
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+ qwertyu0032 | 0.5
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+ qwertyu0034 | 0.5
+ qwertyu0035 | 0.5
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+ qwertyu0039 | 0.5
+ qwertyu0040 | 0.5
+ qwertyu0041 | 0.5
+ qwertyu0042 | 0.5
+ qwertyu0043 | 0.5
+ qwertyu0044 | 0.5
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+ qwertyu1000 | 0.411765
+(1000 rows)
+
+select t,similarity(t,'gwertyu0988') as sml from test_trgm where t % 'gwertyu0988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.6
+ qwertyu0980 | 0.411765
+ qwertyu0981 | 0.411765
+ qwertyu0982 | 0.411765
+ qwertyu0983 | 0.411765
+ qwertyu0984 | 0.411765
+ qwertyu0985 | 0.411765
+ qwertyu0986 | 0.411765
+ qwertyu0987 | 0.411765
+ qwertyu0989 | 0.411765
+ qwertyu0088 | 0.333333
+ qwertyu0098 | 0.333333
+ qwertyu0188 | 0.333333
+ qwertyu0288 | 0.333333
+ qwertyu0388 | 0.333333
+ qwertyu0488 | 0.333333
+ qwertyu0588 | 0.333333
+ qwertyu0688 | 0.333333
+ qwertyu0788 | 0.333333
+ qwertyu0888 | 0.333333
+ qwertyu0900 | 0.333333
+ qwertyu0901 | 0.333333
+ qwertyu0902 | 0.333333
+ qwertyu0903 | 0.333333
+ qwertyu0904 | 0.333333
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+ qwertyu0906 | 0.333333
+ qwertyu0907 | 0.333333
+ qwertyu0908 | 0.333333
+ qwertyu0909 | 0.333333
+ qwertyu0910 | 0.333333
+ qwertyu0911 | 0.333333
+ qwertyu0912 | 0.333333
+ qwertyu0913 | 0.333333
+ qwertyu0914 | 0.333333
+ qwertyu0915 | 0.333333
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+ qwertyu0918 | 0.333333
+ qwertyu0919 | 0.333333
+ qwertyu0920 | 0.333333
+ qwertyu0921 | 0.333333
+ qwertyu0922 | 0.333333
+ qwertyu0923 | 0.333333
+ qwertyu0924 | 0.333333
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+ qwertyu0970 | 0.333333
+ qwertyu0971 | 0.333333
+ qwertyu0972 | 0.333333
+ qwertyu0973 | 0.333333
+ qwertyu0974 | 0.333333
+ qwertyu0975 | 0.333333
+ qwertyu0976 | 0.333333
+ qwertyu0977 | 0.333333
+ qwertyu0978 | 0.333333
+ qwertyu0979 | 0.333333
+ qwertyu0990 | 0.333333
+ qwertyu0991 | 0.333333
+ qwertyu0992 | 0.333333
+ qwertyu0993 | 0.333333
+ qwertyu0994 | 0.333333
+ qwertyu0995 | 0.333333
+ qwertyu0996 | 0.333333
+ qwertyu0997 | 0.333333
+ qwertyu0998 | 0.333333
+ qwertyu0999 | 0.333333
+(110 rows)
+
+select t,similarity(t,'gwertyu1988') as sml from test_trgm where t % 'gwertyu1988' order by sml desc, t;
+ t | sml
+-------------+----------
+ qwertyu0988 | 0.333333
+(1 row)
+
+select count(*) from test_trgm where t ~ '[qwerty]{2}-?[qwerty]{2}';
+ count
+-------
+ 1000
+(1 row)
+
+-- check handling of indexquals that generate no searchable conditions
+explain (costs off)
+select count(*) from test_trgm where t like '%99%' and t like '%qwerty%';
+ QUERY PLAN
+-----------------------------------------------------------------------------
+ Aggregate
+ -> Bitmap Heap Scan on test_trgm
+ Recheck Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qwerty%'::text))
+ -> Bitmap Index Scan on trgm_idx
+ Index Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qwerty%'::text))
+(5 rows)
+
+select count(*) from test_trgm where t like '%99%' and t like '%qwerty%';
+ count
+-------
+ 19
+(1 row)
+
+explain (costs off)
+select count(*) from test_trgm where t like '%99%' and t like '%qw%';
+ QUERY PLAN
+-------------------------------------------------------------------------
+ Aggregate
+ -> Bitmap Heap Scan on test_trgm
+ Recheck Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qw%'::text))
+ -> Bitmap Index Scan on trgm_idx
+ Index Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qw%'::text))
+(5 rows)
+
+select count(*) from test_trgm where t like '%99%' and t like '%qw%';
+ count
+-------
+ 19
+(1 row)
+
+-- ensure that pending-list items are handled correctly, too
+create temp table t_test_trgm(t text COLLATE "C");
+create index t_trgm_idx on t_test_trgm using gin (t gin_trgm_ops);
+insert into t_test_trgm values ('qwerty99'), ('qwerty01');
+explain (costs off)
+select count(*) from t_test_trgm where t like '%99%' and t like '%qwerty%';
+ QUERY PLAN
+-----------------------------------------------------------------------------
+ Aggregate
+ -> Bitmap Heap Scan on t_test_trgm
+ Recheck Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qwerty%'::text))
+ -> Bitmap Index Scan on t_trgm_idx
+ Index Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qwerty%'::text))
+(5 rows)
+
+select count(*) from t_test_trgm where t like '%99%' and t like '%qwerty%';
+ count
+-------
+ 1
+(1 row)
+
+explain (costs off)
+select count(*) from t_test_trgm where t like '%99%' and t like '%qw%';
+ QUERY PLAN
+-------------------------------------------------------------------------
+ Aggregate
+ -> Bitmap Heap Scan on t_test_trgm
+ Recheck Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qw%'::text))
+ -> Bitmap Index Scan on t_trgm_idx
+ Index Cond: ((t ~~ '%99%'::text) AND (t ~~ '%qw%'::text))
+(5 rows)
+
+select count(*) from t_test_trgm where t like '%99%' and t like '%qw%';
+ count
+-------
+ 1
+(1 row)
+
+-- run the same queries with sequential scan to check the results
+set enable_bitmapscan=off;
+set enable_seqscan=on;
+select count(*) from test_trgm where t like '%99%' and t like '%qwerty%';
+ count
+-------
+ 19
+(1 row)
+
+select count(*) from test_trgm where t like '%99%' and t like '%qw%';
+ count
+-------
+ 19
+(1 row)
+
+select count(*) from t_test_trgm where t like '%99%' and t like '%qwerty%';
+ count
+-------
+ 1
+(1 row)
+
+select count(*) from t_test_trgm where t like '%99%' and t like '%qw%';
+ count
+-------
+ 1
+(1 row)
+
+reset enable_bitmapscan;
+create table test2(t text COLLATE "C");
+insert into test2 values ('abcdef');
+insert into test2 values ('quark');
+insert into test2 values (' z foo bar');
+insert into test2 values ('/123/-45/');
+insert into test2 values ('line 1');
+insert into test2 values ('%line 2');
+insert into test2 values ('line 3%');
+insert into test2 values ('%line 4%');
+insert into test2 values ('%li%ne 5%');
+insert into test2 values ('li_e 6');
+create index test2_idx_gin on test2 using gin (t gin_trgm_ops);
+set enable_seqscan=off;
+explain (costs off)
+ select * from test2 where t like '%BCD%';
+ QUERY PLAN
+------------------------------------------
+ Bitmap Heap Scan on test2
+ Recheck Cond: (t ~~ '%BCD%'::text)
+ -> Bitmap Index Scan on test2_idx_gin
+ Index Cond: (t ~~ '%BCD%'::text)
+(4 rows)
+
+explain (costs off)
+ select * from test2 where t ilike '%BCD%';
+ QUERY PLAN
+-------------------------------------------
+ Bitmap Heap Scan on test2
+ Recheck Cond: (t ~~* '%BCD%'::text)
+ -> Bitmap Index Scan on test2_idx_gin
+ Index Cond: (t ~~* '%BCD%'::text)
+(4 rows)
+
+select * from test2 where t like '%BCD%';
+ t
+---
+(0 rows)
+
+select * from test2 where t like '%bcd%';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t like E'%\\bcd%';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ilike '%BCD%';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ilike 'qua%';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t like '%z foo bar%';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t like ' z foo%';
+ t
+-------------
+ z foo bar
+(1 row)
+
+explain (costs off)
+ select * from test2 where t ~ '[abc]{3}';
+ QUERY PLAN
+--------------------------------------------
+ Bitmap Heap Scan on test2
+ Recheck Cond: (t ~ '[abc]{3}'::text)
+ -> Bitmap Index Scan on test2_idx_gin
+ Index Cond: (t ~ '[abc]{3}'::text)
+(4 rows)
+
+explain (costs off)
+ select * from test2 where t ~* 'DEF';
+ QUERY PLAN
+------------------------------------------
+ Bitmap Heap Scan on test2
+ Recheck Cond: (t ~* 'DEF'::text)
+ -> Bitmap Index Scan on test2_idx_gin
+ Index Cond: (t ~* 'DEF'::text)
+(4 rows)
+
+select * from test2 where t ~ '[abc]{3}';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~ 'a[bc]+d';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~ '(abc)*$';
+ t
+-------------
+ abcdef
+ quark
+ z foo bar
+ /123/-45/
+ line 1
+ %line 2
+ line 3%
+ %line 4%
+ %li%ne 5%
+ li_e 6
+(10 rows)
+
+select * from test2 where t ~* 'DEF';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~ 'dEf';
+ t
+---
+(0 rows)
+
+select * from test2 where t ~* '^q';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~* '[abc]{3}[def]{3}';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~* 'ab[a-z]{3}';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~* '(^| )qua';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ 'q.*rk$';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ 'q';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ '[a-z]{3}';
+ t
+-------------
+ abcdef
+ quark
+ z foo bar
+ line 1
+ %line 2
+ line 3%
+ %line 4%
+(7 rows)
+
+select * from test2 where t ~* '(a{10}|b{10}|c{10}){10}';
+ t
+---
+(0 rows)
+
+select * from test2 where t ~ 'z foo bar';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ ' z foo bar';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ ' z foo bar';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ ' z foo';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ 'qua(?!foo)';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ '/\d+/-\d';
+ t
+-----------
+ /123/-45/
+(1 row)
+
+-- test = operator
+explain (costs off)
+ select * from test2 where t = 'abcdef';
+ QUERY PLAN
+------------------------------------------
+ Bitmap Heap Scan on test2
+ Recheck Cond: (t = 'abcdef'::text)
+ -> Bitmap Index Scan on test2_idx_gin
+ Index Cond: (t = 'abcdef'::text)
+(4 rows)
+
+select * from test2 where t = 'abcdef';
+ t
+--------
+ abcdef
+(1 row)
+
+explain (costs off)
+ select * from test2 where t = '%line%';
+ QUERY PLAN
+------------------------------------------
+ Bitmap Heap Scan on test2
+ Recheck Cond: (t = '%line%'::text)
+ -> Bitmap Index Scan on test2_idx_gin
+ Index Cond: (t = '%line%'::text)
+(4 rows)
+
+select * from test2 where t = '%line%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = 'li_e 1';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%line 2';
+ t
+---------
+ %line 2
+(1 row)
+
+select * from test2 where t = 'line 3%';
+ t
+---------
+ line 3%
+(1 row)
+
+select * from test2 where t = '%line 3%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%line 4%';
+ t
+----------
+ %line 4%
+(1 row)
+
+select * from test2 where t = '%line 5%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%li_ne 5%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%li%ne 5%';
+ t
+-----------
+ %li%ne 5%
+(1 row)
+
+select * from test2 where t = 'line 6';
+ t
+---
+(0 rows)
+
+select * from test2 where t = 'li_e 6';
+ t
+--------
+ li_e 6
+(1 row)
+
+drop index test2_idx_gin;
+create index test2_idx_gist on test2 using gist (t gist_trgm_ops);
+set enable_seqscan=off;
+explain (costs off)
+ select * from test2 where t like '%BCD%';
+ QUERY PLAN
+------------------------------------------
+ Index Scan using test2_idx_gist on test2
+ Index Cond: (t ~~ '%BCD%'::text)
+(2 rows)
+
+explain (costs off)
+ select * from test2 where t ilike '%BCD%';
+ QUERY PLAN
+------------------------------------------
+ Index Scan using test2_idx_gist on test2
+ Index Cond: (t ~~* '%BCD%'::text)
+(2 rows)
+
+select * from test2 where t like '%BCD%';
+ t
+---
+(0 rows)
+
+select * from test2 where t like '%bcd%';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t like E'%\\bcd%';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ilike '%BCD%';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ilike 'qua%';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t like '%z foo bar%';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t like ' z foo%';
+ t
+-------------
+ z foo bar
+(1 row)
+
+explain (costs off)
+ select * from test2 where t ~ '[abc]{3}';
+ QUERY PLAN
+------------------------------------------
+ Index Scan using test2_idx_gist on test2
+ Index Cond: (t ~ '[abc]{3}'::text)
+(2 rows)
+
+explain (costs off)
+ select * from test2 where t ~* 'DEF';
+ QUERY PLAN
+------------------------------------------
+ Index Scan using test2_idx_gist on test2
+ Index Cond: (t ~* 'DEF'::text)
+(2 rows)
+
+select * from test2 where t ~ '[abc]{3}';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~ 'a[bc]+d';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~ '(abc)*$';
+ t
+-------------
+ abcdef
+ quark
+ z foo bar
+ /123/-45/
+ line 1
+ %line 2
+ line 3%
+ %line 4%
+ %li%ne 5%
+ li_e 6
+(10 rows)
+
+select * from test2 where t ~* 'DEF';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~ 'dEf';
+ t
+---
+(0 rows)
+
+select * from test2 where t ~* '^q';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~* '[abc]{3}[def]{3}';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~* 'ab[a-z]{3}';
+ t
+--------
+ abcdef
+(1 row)
+
+select * from test2 where t ~* '(^| )qua';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ 'q.*rk$';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ 'q';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ '[a-z]{3}';
+ t
+-------------
+ abcdef
+ quark
+ z foo bar
+ line 1
+ %line 2
+ line 3%
+ %line 4%
+(7 rows)
+
+select * from test2 where t ~* '(a{10}|b{10}|c{10}){10}';
+ t
+---
+(0 rows)
+
+select * from test2 where t ~ 'z foo bar';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ ' z foo bar';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ ' z foo bar';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ ' z foo';
+ t
+-------------
+ z foo bar
+(1 row)
+
+select * from test2 where t ~ 'qua(?!foo)';
+ t
+-------
+ quark
+(1 row)
+
+select * from test2 where t ~ '/\d+/-\d';
+ t
+-----------
+ /123/-45/
+(1 row)
+
+-- test = operator
+explain (costs off)
+ select * from test2 where t = 'abcdef';
+ QUERY PLAN
+------------------------------------------
+ Index Scan using test2_idx_gist on test2
+ Index Cond: (t = 'abcdef'::text)
+(2 rows)
+
+select * from test2 where t = 'abcdef';
+ t
+--------
+ abcdef
+(1 row)
+
+explain (costs off)
+ select * from test2 where t = '%line%';
+ QUERY PLAN
+------------------------------------------
+ Index Scan using test2_idx_gist on test2
+ Index Cond: (t = '%line%'::text)
+(2 rows)
+
+select * from test2 where t = '%line%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = 'li_e 1';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%line 2';
+ t
+---------
+ %line 2
+(1 row)
+
+select * from test2 where t = 'line 3%';
+ t
+---------
+ line 3%
+(1 row)
+
+select * from test2 where t = '%line 3%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%line 4%';
+ t
+----------
+ %line 4%
+(1 row)
+
+select * from test2 where t = '%line 5%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%li_ne 5%';
+ t
+---
+(0 rows)
+
+select * from test2 where t = '%li%ne 5%';
+ t
+-----------
+ %li%ne 5%
+(1 row)
+
+select * from test2 where t = 'line 6';
+ t
+---
+(0 rows)
+
+select * from test2 where t = 'li_e 6';
+ t
+--------
+ li_e 6
+(1 row)
+
+-- Check similarity threshold (bug #14202)
+CREATE TEMP TABLE restaurants (city text);
+INSERT INTO restaurants SELECT 'Warsaw' FROM generate_series(1, 10000);
+INSERT INTO restaurants SELECT 'Szczecin' FROM generate_series(1, 10000);
+CREATE INDEX ON restaurants USING gist(city gist_trgm_ops);
+-- Similarity of the two names (for reference).
+SELECT similarity('Szczecin', 'Warsaw');
+ similarity
+------------
+ 0
+(1 row)
+
+-- Should get only 'Warsaw' for either setting of set_limit.
+EXPLAIN (COSTS OFF)
+SELECT DISTINCT city, similarity(city, 'Warsaw'), show_limit()
+ FROM restaurants WHERE city % 'Warsaw';
+ QUERY PLAN
+-------------------------------------------------------------------
+ HashAggregate
+ Group Key: city, similarity(city, 'Warsaw'::text), show_limit()
+ -> Bitmap Heap Scan on restaurants
+ Recheck Cond: (city % 'Warsaw'::text)
+ -> Bitmap Index Scan on restaurants_city_idx
+ Index Cond: (city % 'Warsaw'::text)
+(6 rows)
+
+SELECT set_limit(0.3);
+ set_limit
+-----------
+ 0.3
+(1 row)
+
+SELECT DISTINCT city, similarity(city, 'Warsaw'), show_limit()
+ FROM restaurants WHERE city % 'Warsaw';
+ city | similarity | show_limit
+--------+------------+------------
+ Warsaw | 1 | 0.3
+(1 row)
+
+SELECT set_limit(0.5);
+ set_limit
+-----------
+ 0.5
+(1 row)
+
+SELECT DISTINCT city, similarity(city, 'Warsaw'), show_limit()
+ FROM restaurants WHERE city % 'Warsaw';
+ city | similarity | show_limit
+--------+------------+------------
+ Warsaw | 1 | 0.5
+(1 row)
+
diff --git a/contrib/pg_trgm/expected/pg_word_trgm.out b/contrib/pg_trgm/expected/pg_word_trgm.out
new file mode 100644
index 0000000..c66a67f
--- /dev/null
+++ b/contrib/pg_trgm/expected/pg_word_trgm.out
@@ -0,0 +1,1052 @@
+CREATE TABLE test_trgm2(t text COLLATE "C");
+\copy test_trgm2 from 'data/trgm2.data'
+-- reduce noise
+set extra_float_digits = 0;
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+(20 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+(4 rows)
+
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+(20 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+(4 rows)
+
+select t <->> 'Kabankala', t from test_trgm2 order by t <->> 'Kabankala' limit 7;
+ ?column? | t
+----------+----------------------------------
+ 0 | Kabankala
+ 0.1 | Kabankalan City Public Plaza
+ 0.3 | Abankala
+ 0.4 | Ntombankala School
+ 0.416667 | Kabakala
+ 0.5 | Nehalla Bankalah Reserved Forest
+ 0.538462 | Kabikala
+(7 rows)
+
+create index trgm_idx2 on test_trgm2 using gist (t gist_trgm_ops);
+set enable_seqscan=off;
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+(20 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+(4 rows)
+
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+(20 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+(4 rows)
+
+explain (costs off)
+select t <->> 'Kabankala', t from test_trgm2 order by t <->> 'Kabankala' limit 7;
+ QUERY PLAN
+------------------------------------------------
+ Limit
+ -> Index Scan using trgm_idx2 on test_trgm2
+ Order By: (t <->> 'Kabankala'::text)
+(3 rows)
+
+select t <->> 'Kabankala', t from test_trgm2 order by t <->> 'Kabankala' limit 7;
+ ?column? | t
+----------+----------------------------------
+ 0 | Kabankala
+ 0.1 | Kabankalan City Public Plaza
+ 0.3 | Abankala
+ 0.4 | Ntombankala School
+ 0.416667 | Kabakala
+ 0.5 | Nehalla Bankalah Reserved Forest
+ 0.538462 | Kabikala
+(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,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+(20 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+(4 rows)
+
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+(20 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+(4 rows)
+
+set "pg_trgm.word_similarity_threshold" to 0.5;
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+ Bakal Batu | 0.571429
+ Zabaykalka | 0.571429
+ Zabaykalovskiy | 0.571429
+(23 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+ Kabakala | 0.583333
+ Nehalla Bankalah Reserved Forest | 0.5
+(6 rows)
+
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+ Bakal Batu | 0.571429
+ Zabaykalka | 0.571429
+ Zabaykalovskiy | 0.571429
+(23 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+ Kabakala | 0.583333
+ Nehalla Bankalah Reserved Forest | 0.5
+(6 rows)
+
+set "pg_trgm.word_similarity_threshold" to 0.3;
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+ Bakal Batu | 0.571429
+ Zabaykalka | 0.571429
+ Zabaykalovskiy | 0.571429
+ Air Bakal-kecil | 0.444444
+ Bakal | 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
+ Al Barkali | 0.428571
+ Aparthotel Adagio Premium Dubai Al Barsha | 0.428571
+ Baikal Business Centre | 0.428571
+ Bay of Backaland | 0.428571
+ Boikalakalawa Bay | 0.428571
+ Doubletree By Hilton Dubai Al Barsha Hotel and Res | 0.428571
+ Doubletree By Hilton Hotel and Apartments Dubai Al Barsha | 0.428571
+ Doubletree Res.Dubai-Al Barsha | 0.428571
+ Holiday Inn Dubai Al Barsha | 0.428571
+ Jabal Barkal | 0.428571
+ Novotel Dubai Al Barsha | 0.428571
+ Park Inn By Radisson Dubai Al Barsha | 0.428571
+ Ramee Rose Hotel Dubai Al Barsha | 0.428571
+ Waikalabubu Bay | 0.428571
+ Baikal | 0.4
+ Baikal Airfield | 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
+ Lake Baikal | 0.4
+ Mbay Bakala | 0.4
+ Oulad el Bakkal | 0.4
+ Sidi Mohammed Bakkal | 0.4
+ Bairkal | 0.363636
+ Bairkal Dhora | 0.363636
+ Bairkal Jabal | 0.363636
+ Batikal | 0.363636
+ Bakala | 0.333333
+ Bakala Koupi | 0.333333
+ Bakalaale | 0.333333
+ Bakalabwa Pans | 0.333333
+ Bakalaeng | 0.333333
+ Bakalafoulou | 0.333333
+ Bakalalan Airport | 0.333333
+ Bakalam | 0.333333
+ Bakalambani | 0.333333
+ Bakalan | 0.333333
+ Bakalan Barat | 0.333333
+ Bakalan Dua | 0.333333
+ Bakalan Kidul | 0.333333
+ Bakalan Kulon | 0.333333
+ Bakalan Lor | 0.333333
+ Bakalan River | 0.333333
+ Bakalan Tengah | 0.333333
+ Bakalan Wetan | 0.333333
+ Bakalang | 0.333333
+ Bakalao Asibi Point | 0.333333
+ Bakalao Point | 0.333333
+ Bakalar Air Force Base (historical) | 0.333333
+ Bakalar Lake | 0.333333
+ Bakalar Library | 0.333333
+ Bakalarr | 0.333333
+ Bakalauri | 0.333333
+ Bakalauri1 | 0.333333
+ Bakalauri2 | 0.333333
+ Bakalauri3 | 0.333333
+ Bakalauri4 | 0.333333
+ Bakalauri5 | 0.333333
+ Bakalauri6 | 0.333333
+ Bakalauri7 | 0.333333
+ Bakalauri8 | 0.333333
+ Bakalauri9 | 0.333333
+ Bakalawa | 0.333333
+ Bakalbhar | 0.333333
+ Bakalbuah | 0.333333
+ Bakalda | 0.333333
+ Bakaldalam | 0.333333
+ Bakaldinskoye | 0.333333
+ Bakaldovshchina | 0.333333
+ Bakaldukuh | 0.333333
+ Bakaldum | 0.333333
+ Bakaldy | 0.333333
+ Bakale | 0.333333
+ Bakaleko | 0.333333
+ Bakalerek | 0.333333
+ Bakaley | 0.333333
+ Bakaleyka | 0.333333
+ Bakalha | 0.333333
+ Bakali | 0.333333
+ Bakalia Char | 0.333333
+ Bakalica | 0.333333
+ Bakalinga | 0.333333
+ Bakalino | 0.333333
+ Bakalinskiy | 0.333333
+ Bakalinskiy Leskhoz | 0.333333
+ Bakalinskiy Rayon | 0.333333
+ Bakalipur | 0.333333
+ Bakalite | 0.333333
+ Bakaljaya | 0.333333
+ Bakalka | 0.333333
+ Bakall | 0.333333
+ Bakalnica | 0.333333
+ Bakalod Island | 0.333333
+ Bakalongo | 0.333333
+ Bakaloolay | 0.333333
+ Bakalou | 0.333333
+ Bakalovina | 0.333333
+ Bakalovka | 0.333333
+ Bakalovo | 0.333333
+ Bakalovskaya Ferma | 0.333333
+ Bakalpakebo | 0.333333
+ Bakalpokok | 0.333333
+ Bakalrejo | 0.333333
+ Bakalsen | 0.333333
+ Bakalshile | 0.333333
+ Bakaltua Bank | 0.333333
+ Bakalua | 0.333333
+ Bakalukalu | 0.333333
+ Bakalukalu Shan | 0.333333
+ Bakalukudu | 0.333333
+ Bakalum | 0.333333
+ Bakaly | 0.333333
+ Bakaly TV Mast | 0.333333
+ Buur Bakale | 0.333333
+ Buur Bakaley | 0.333333
+ Columbus Bakalar Municipal Airport | 0.333333
+ Dakshin Bakalia | 0.333333
+ Danau Bakalan | 0.333333
+ Desa Bakalan | 0.333333
+ Desa Bakalankrajan | 0.333333
+ Desa Bakalankrapyak | 0.333333
+ Desa Bakalanpule | 0.333333
+ Desa Bakalanrayung | 0.333333
+ Desa Bakalanwringinpitu | 0.333333
+ Desa Bakalrejo | 0.333333
+ Efrejtor Bakalovo | 0.333333
+ Efreytor-Bakalovo | 0.333333
+ Gora Bakalyadyr | 0.333333
+ Gory Bakaly | 0.333333
+ Gunung Bakalan | 0.333333
+ Ile Bakalibu | 0.333333
+ Kali Bakalan | 0.333333
+ Kampong Bakaladong | 0.333333
+ Khor Bakallii | 0.333333
+ Krajan Bakalan | 0.333333
+ Kusu-Bakali | 0.333333
+ Kwala Bakala | 0.333333
+ Ngao Bakala | 0.333333
+ Ovrag Bakalda | 0.333333
+ Pematang Bakalpanang | 0.333333
+ Pematang Bakalpanjang | 0.333333
+ Pulau Bakalan | 0.333333
+ Pulau Bakalanpauno | 0.333333
+ Ragha Bakalzai | 0.333333
+ Rodnik Bakalybulak | 0.333333
+ Salu Bakalaeng | 0.333333
+ Selat Bakalan | 0.333333
+ Selat Bakalanpauno | 0.333333
+ Sidi Mohammed el Bakali | 0.333333
+ Sopka Bakaly | 0.333333
+ Sovkhoz Bakalinskiy | 0.333333
+ Sungai Bakala | 0.333333
+ Sungai Bakaladiyan | 0.333333
+ Tanjung Bakalinga | 0.333333
+ Teluk Bakalan | 0.333333
+ Teluk Bakalang | 0.333333
+ Tubu Bakalekuk | 0.333333
+ Tukad Bakalan | 0.333333
+ Urochishche Bakalarnyn-Ayasy | 0.333333
+ Urochishche Bakaldikha | 0.333333
+ Urochishche Bakalovo | 0.333333
+ Urochishche Bakaly | 0.333333
+ Bakkalmal | 0.307692
+ Alue Bakkala | 0.3
+ Azib el Bakkali | 0.3
+ Ba Kaliin | 0.3
+ Bagkalen | 0.3
+ Bahkalleh | 0.3
+ Baikalakko | 0.3
+ Baikalovo | 0.3
+ Baikaluobbal | 0.3
+ Bakkala Cemetery | 0.3
+ Bakkalale | 0.3
+ Bakkalegskardet | 0.3
+ Bakkalia | 0.3
+ Bakkalykkja | 0.3
+ Bankali | 0.3
+ Bankalol | 0.3
+ Barkala | 0.3
+ Barkala Park | 0.3
+ Barkala Rao | 0.3
+ Barkala Reserved Forest | 0.3
+ Barkalabava | 0.3
+ Barkaladja Pool | 0.3
+ Barkalare | 0.3
+ Barkald | 0.3
+ Barkald stasjon | 0.3
+ Barkalden | 0.3
+ Barkaldfossen | 0.3
+ Barkaldvola | 0.3
+ Barkale | 0.3
+ Barkaleh | 0.3
+ Barkaleitet | 0.3
+ Barkali | 0.3
+ Barkallou | 0.3
+ Barkalne | 0.3
+ Barkalova | 0.3
+ Barkalovka | 0.3
+ Barkalow Hollow | 0.3
+ Baskalino | 0.3
+ Baskaltsi | 0.3
+ Baukala | 0.3
+ Bavkalasis | 0.3
+ Bawkalut | 0.3
+ Bawkalut Chaung | 0.3
+ Bikal | 0.3
+ Clifton T Barkalow Elementary School | 0.3
+ Gora Barkalova | 0.3
+ Gora Barkalyu | 0.3
+ Khrebet Batkali | 0.3
+ Kordon Barkalo | 0.3
+ Nehalla Bankalah Reserved Forest | 0.3
+ Ras Barkallah | 0.3
+ Sopka Barkaleptskaya | 0.3
+ Urochishche Batkali | 0.3
+(261 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+ Kabakala | 0.583333
+ Nehalla Bankalah Reserved Forest | 0.5
+ Kabikala | 0.461538
+ Mwalaba-Kalamba | 0.454545
+ Bakala Koupi | 0.4
+ Bankal | 0.4
+ Bankal School | 0.4
+ Bankali | 0.4
+ Bankalol | 0.4
+ Jabba Kalai | 0.4
+ Kanampumba-Kalawa | 0.4
+ Purba Kalaujan | 0.4
+ Tumba-Kalamba | 0.4
+ Daba Kalharereh | 0.363636
+ Gagaba Kalo | 0.363636
+ Jaba Kalle | 0.363636
+ Dabakala | 0.333333
+ Dalabakala | 0.333333
+ Kambakala | 0.333333
+ Ker Samba Kalla | 0.333333
+ Fayzabadkala | 0.307692
+ Gora Fayzabadkala | 0.307692
+ Guba Kalgalaksha | 0.307692
+ Habakkala | 0.307692
+ Kaikalahun Indian Reserve 25 | 0.307692
+ Kaikalapettai | 0.307692
+ Alue Bakkala | 0.3
+ Ambadikala | 0.3
+ Ambakala Wewa | 0.3
+ Ataikala | 0.3
+ Ba Kaliin | 0.3
+ Bakala | 0.3
+ Bakkala Cemetery | 0.3
+ Bambakala | 0.3
+ Barkala | 0.3
+ Barkala Park | 0.3
+ Barkala Rao | 0.3
+ Barkala Reserved Forest | 0.3
+ Baukala | 0.3
+ Beikala | 0.3
+ Bikala | 0.3
+ Bikala Madila | 0.3
+ Bomba-Kalende | 0.3
+ Bonagbakala | 0.3
+ Boyagbakala | 0.3
+ Bugor Arba-Kalgan | 0.3
+ Bumba-Kaloki | 0.3
+ Bumba-Kalumba | 0.3
+ Darreh Pumba Kal | 0.3
+ Demba Kali | 0.3
+ Embatkala | 0.3
+ Gereba Kaler | 0.3
+ Golba Kalo | 0.3
+ Goth Soba Kaloi | 0.3
+ Guba Kaldo | 0.3
+ Guba Kalita | 0.3
+ Gulba Kalle | 0.3
+ Haikala | 0.3
+ Kali Bakalan | 0.3
+ Kali Purbakala | 0.3
+ Kalibakal | 0.3
+ Kalibakalako | 0.3
+ Kalimundubakalan | 0.3
+ Kamba-Kalele | 0.3
+ Kimbakala | 0.3
+ Kombakala | 0.3
+ Kwala Bakala | 0.3
+ Laikala | 0.3
+ Maikala Range | 0.3
+ Mambakala | 0.3
+ Matamba-Kalenga | 0.3
+ Matamba-Kalenge | 0.3
+ Mbay Bakala | 0.3
+ Mount Tohebakala | 0.3
+ Naikala | 0.3
+ Ngao Bakala | 0.3
+ Purba Kalmegha | 0.3
+ Sungai Bakala | 0.3
+ Tagobikala | 0.3
+ Tanjung Batikala | 0.3
+ Tombakala | 0.3
+ Tsibakala | 0.3
+ Tumba-Kalumba | 0.3
+ Tumba-Kalunga | 0.3
+ Waikala | 0.3
+(89 rows)
+
+select t,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
+ Baykalikha | 0.857143
+ Baykalo-Amurskaya Zheleznaya Doroga | 0.857143
+ Baykalovo | 0.857143
+ Baykalovsk | 0.857143
+ Baykalovskiy | 0.857143
+ Baykalovskiy Rayon | 0.857143
+ Baykalsko | 0.857143
+ Maloye Baykalovo | 0.857143
+ Zabaykal | 0.714286
+ Bakal Batu | 0.571429
+ Zabaykalka | 0.571429
+ Zabaykalovskiy | 0.571429
+ Air Bakal-kecil | 0.444444
+ Bakal | 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
+ Al Barkali | 0.428571
+ Aparthotel Adagio Premium Dubai Al Barsha | 0.428571
+ Baikal Business Centre | 0.428571
+ Bay of Backaland | 0.428571
+ Boikalakalawa Bay | 0.428571
+ Doubletree By Hilton Dubai Al Barsha Hotel and Res | 0.428571
+ Doubletree By Hilton Hotel and Apartments Dubai Al Barsha | 0.428571
+ Doubletree Res.Dubai-Al Barsha | 0.428571
+ Holiday Inn Dubai Al Barsha | 0.428571
+ Jabal Barkal | 0.428571
+ Novotel Dubai Al Barsha | 0.428571
+ Park Inn By Radisson Dubai Al Barsha | 0.428571
+ Ramee Rose Hotel Dubai Al Barsha | 0.428571
+ Waikalabubu Bay | 0.428571
+ Baikal | 0.4
+ Baikal Airfield | 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
+ Lake Baikal | 0.4
+ Mbay Bakala | 0.4
+ Oulad el Bakkal | 0.4
+ Sidi Mohammed Bakkal | 0.4
+ Bairkal | 0.363636
+ Bairkal Dhora | 0.363636
+ Bairkal Jabal | 0.363636
+ Batikal | 0.363636
+ Bakala | 0.333333
+ Bakala Koupi | 0.333333
+ Bakalaale | 0.333333
+ Bakalabwa Pans | 0.333333
+ Bakalaeng | 0.333333
+ Bakalafoulou | 0.333333
+ Bakalalan Airport | 0.333333
+ Bakalam | 0.333333
+ Bakalambani | 0.333333
+ Bakalan | 0.333333
+ Bakalan Barat | 0.333333
+ Bakalan Dua | 0.333333
+ Bakalan Kidul | 0.333333
+ Bakalan Kulon | 0.333333
+ Bakalan Lor | 0.333333
+ Bakalan River | 0.333333
+ Bakalan Tengah | 0.333333
+ Bakalan Wetan | 0.333333
+ Bakalang | 0.333333
+ Bakalao Asibi Point | 0.333333
+ Bakalao Point | 0.333333
+ Bakalar Air Force Base (historical) | 0.333333
+ Bakalar Lake | 0.333333
+ Bakalar Library | 0.333333
+ Bakalarr | 0.333333
+ Bakalauri | 0.333333
+ Bakalauri1 | 0.333333
+ Bakalauri2 | 0.333333
+ Bakalauri3 | 0.333333
+ Bakalauri4 | 0.333333
+ Bakalauri5 | 0.333333
+ Bakalauri6 | 0.333333
+ Bakalauri7 | 0.333333
+ Bakalauri8 | 0.333333
+ Bakalauri9 | 0.333333
+ Bakalawa | 0.333333
+ Bakalbhar | 0.333333
+ Bakalbuah | 0.333333
+ Bakalda | 0.333333
+ Bakaldalam | 0.333333
+ Bakaldinskoye | 0.333333
+ Bakaldovshchina | 0.333333
+ Bakaldukuh | 0.333333
+ Bakaldum | 0.333333
+ Bakaldy | 0.333333
+ Bakale | 0.333333
+ Bakaleko | 0.333333
+ Bakalerek | 0.333333
+ Bakaley | 0.333333
+ Bakaleyka | 0.333333
+ Bakalha | 0.333333
+ Bakali | 0.333333
+ Bakalia Char | 0.333333
+ Bakalica | 0.333333
+ Bakalinga | 0.333333
+ Bakalino | 0.333333
+ Bakalinskiy | 0.333333
+ Bakalinskiy Leskhoz | 0.333333
+ Bakalinskiy Rayon | 0.333333
+ Bakalipur | 0.333333
+ Bakalite | 0.333333
+ Bakaljaya | 0.333333
+ Bakalka | 0.333333
+ Bakall | 0.333333
+ Bakalnica | 0.333333
+ Bakalod Island | 0.333333
+ Bakalongo | 0.333333
+ Bakaloolay | 0.333333
+ Bakalou | 0.333333
+ Bakalovina | 0.333333
+ Bakalovka | 0.333333
+ Bakalovo | 0.333333
+ Bakalovskaya Ferma | 0.333333
+ Bakalpakebo | 0.333333
+ Bakalpokok | 0.333333
+ Bakalrejo | 0.333333
+ Bakalsen | 0.333333
+ Bakalshile | 0.333333
+ Bakaltua Bank | 0.333333
+ Bakalua | 0.333333
+ Bakalukalu | 0.333333
+ Bakalukalu Shan | 0.333333
+ Bakalukudu | 0.333333
+ Bakalum | 0.333333
+ Bakaly | 0.333333
+ Bakaly TV Mast | 0.333333
+ Buur Bakale | 0.333333
+ Buur Bakaley | 0.333333
+ Columbus Bakalar Municipal Airport | 0.333333
+ Dakshin Bakalia | 0.333333
+ Danau Bakalan | 0.333333
+ Desa Bakalan | 0.333333
+ Desa Bakalankrajan | 0.333333
+ Desa Bakalankrapyak | 0.333333
+ Desa Bakalanpule | 0.333333
+ Desa Bakalanrayung | 0.333333
+ Desa Bakalanwringinpitu | 0.333333
+ Desa Bakalrejo | 0.333333
+ Efrejtor Bakalovo | 0.333333
+ Efreytor-Bakalovo | 0.333333
+ Gora Bakalyadyr | 0.333333
+ Gory Bakaly | 0.333333
+ Gunung Bakalan | 0.333333
+ Ile Bakalibu | 0.333333
+ Kali Bakalan | 0.333333
+ Kampong Bakaladong | 0.333333
+ Khor Bakallii | 0.333333
+ Krajan Bakalan | 0.333333
+ Kusu-Bakali | 0.333333
+ Kwala Bakala | 0.333333
+ Ngao Bakala | 0.333333
+ Ovrag Bakalda | 0.333333
+ Pematang Bakalpanang | 0.333333
+ Pematang Bakalpanjang | 0.333333
+ Pulau Bakalan | 0.333333
+ Pulau Bakalanpauno | 0.333333
+ Ragha Bakalzai | 0.333333
+ Rodnik Bakalybulak | 0.333333
+ Salu Bakalaeng | 0.333333
+ Selat Bakalan | 0.333333
+ Selat Bakalanpauno | 0.333333
+ Sidi Mohammed el Bakali | 0.333333
+ Sopka Bakaly | 0.333333
+ Sovkhoz Bakalinskiy | 0.333333
+ Sungai Bakala | 0.333333
+ Sungai Bakaladiyan | 0.333333
+ Tanjung Bakalinga | 0.333333
+ Teluk Bakalan | 0.333333
+ Teluk Bakalang | 0.333333
+ Tubu Bakalekuk | 0.333333
+ Tukad Bakalan | 0.333333
+ Urochishche Bakalarnyn-Ayasy | 0.333333
+ Urochishche Bakaldikha | 0.333333
+ Urochishche Bakalovo | 0.333333
+ Urochishche Bakaly | 0.333333
+ Bakkalmal | 0.307692
+ Alue Bakkala | 0.3
+ Azib el Bakkali | 0.3
+ Ba Kaliin | 0.3
+ Bagkalen | 0.3
+ Bahkalleh | 0.3
+ Baikalakko | 0.3
+ Baikalovo | 0.3
+ Baikaluobbal | 0.3
+ Bakkala Cemetery | 0.3
+ Bakkalale | 0.3
+ Bakkalegskardet | 0.3
+ Bakkalia | 0.3
+ Bakkalykkja | 0.3
+ Bankali | 0.3
+ Bankalol | 0.3
+ Barkala | 0.3
+ Barkala Park | 0.3
+ Barkala Rao | 0.3
+ Barkala Reserved Forest | 0.3
+ Barkalabava | 0.3
+ Barkaladja Pool | 0.3
+ Barkalare | 0.3
+ Barkald | 0.3
+ Barkald stasjon | 0.3
+ Barkalden | 0.3
+ Barkaldfossen | 0.3
+ Barkaldvola | 0.3
+ Barkale | 0.3
+ Barkaleh | 0.3
+ Barkaleitet | 0.3
+ Barkali | 0.3
+ Barkallou | 0.3
+ Barkalne | 0.3
+ Barkalova | 0.3
+ Barkalovka | 0.3
+ Barkalow Hollow | 0.3
+ Baskalino | 0.3
+ Baskaltsi | 0.3
+ Baukala | 0.3
+ Bavkalasis | 0.3
+ Bawkalut | 0.3
+ Bawkalut Chaung | 0.3
+ Bikal | 0.3
+ Clifton T Barkalow Elementary School | 0.3
+ Gora Barkalova | 0.3
+ Gora Barkalyu | 0.3
+ Khrebet Batkali | 0.3
+ Kordon Barkalo | 0.3
+ Nehalla Bankalah Reserved Forest | 0.3
+ Ras Barkallah | 0.3
+ Sopka Barkaleptskaya | 0.3
+ Urochishche Batkali | 0.3
+(261 rows)
+
+select t,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 | 0.9
+ Abankala | 0.7
+ Ntombankala School | 0.6
+ Kabakala | 0.583333
+ Nehalla Bankalah Reserved Forest | 0.5
+ Kabikala | 0.461538
+ Mwalaba-Kalamba | 0.454545
+ Bakala Koupi | 0.4
+ Bankal | 0.4
+ Bankal School | 0.4
+ Bankali | 0.4
+ Bankalol | 0.4
+ Jabba Kalai | 0.4
+ Kanampumba-Kalawa | 0.4
+ Purba Kalaujan | 0.4
+ Tumba-Kalamba | 0.4
+ Daba Kalharereh | 0.363636
+ Gagaba Kalo | 0.363636
+ Jaba Kalle | 0.363636
+ Dabakala | 0.333333
+ Dalabakala | 0.333333
+ Kambakala | 0.333333
+ Ker Samba Kalla | 0.333333
+ Fayzabadkala | 0.307692
+ Gora Fayzabadkala | 0.307692
+ Guba Kalgalaksha | 0.307692
+ Habakkala | 0.307692
+ Kaikalahun Indian Reserve 25 | 0.307692
+ Kaikalapettai | 0.307692
+ Alue Bakkala | 0.3
+ Ambadikala | 0.3
+ Ambakala Wewa | 0.3
+ Ataikala | 0.3
+ Ba Kaliin | 0.3
+ Bakala | 0.3
+ Bakkala Cemetery | 0.3
+ Bambakala | 0.3
+ Barkala | 0.3
+ Barkala Park | 0.3
+ Barkala Rao | 0.3
+ Barkala Reserved Forest | 0.3
+ Baukala | 0.3
+ Beikala | 0.3
+ Bikala | 0.3
+ Bikala Madila | 0.3
+ Bomba-Kalende | 0.3
+ Bonagbakala | 0.3
+ Boyagbakala | 0.3
+ Bugor Arba-Kalgan | 0.3
+ Bumba-Kaloki | 0.3
+ Bumba-Kalumba | 0.3
+ Darreh Pumba Kal | 0.3
+ Demba Kali | 0.3
+ Embatkala | 0.3
+ Gereba Kaler | 0.3
+ Golba Kalo | 0.3
+ Goth Soba Kaloi | 0.3
+ Guba Kaldo | 0.3
+ Guba Kalita | 0.3
+ Gulba Kalle | 0.3
+ Haikala | 0.3
+ Kali Bakalan | 0.3
+ Kali Purbakala | 0.3
+ Kalibakal | 0.3
+ Kalibakalako | 0.3
+ Kalimundubakalan | 0.3
+ Kamba-Kalele | 0.3
+ Kimbakala | 0.3
+ Kombakala | 0.3
+ Kwala Bakala | 0.3
+ Laikala | 0.3
+ Maikala Range | 0.3
+ Mambakala | 0.3
+ Matamba-Kalenga | 0.3
+ Matamba-Kalenge | 0.3
+ Mbay Bakala | 0.3
+ Mount Tohebakala | 0.3
+ Naikala | 0.3
+ Ngao Bakala | 0.3
+ Purba Kalmegha | 0.3
+ Sungai Bakala | 0.3
+ Tagobikala | 0.3
+ Tanjung Batikala | 0.3
+ Tombakala | 0.3
+ Tsibakala | 0.3
+ Tumba-Kalumba | 0.3
+ Tumba-Kalunga | 0.3
+ Waikala | 0.3
+(89 rows)
+
+-- test unsatisfiable pattern
+select * from test_trgm2 where t ~ '.*$x';
+ t
+---
+(0 rows)
+
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-09 11:22:47 +0000