Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtp (Exim 4.84_2) (envelope-from ) id 1blt1i-0007hX-VA for pgsql-performance@arkaria.postgresql.org; Mon, 19 Sep 2016 07:30:07 +0000 Received: from localhost ([127.0.0.1] helo=postgresql.org) by malur.postgresql.org with smtp (Exim 4.84_2) (envelope-from ) id 1blt1i-0004Fb-39 for pgsql-performance@arkaria.postgresql.org; Mon, 19 Sep 2016 07:30:06 +0000 Received: from makus.postgresql.org ([2001:4800:1501:1::229]) by malur.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA384:256) (Exim 4.84_2) (envelope-from ) id 1blt1g-0004FK-Fs for pgsql-performance@postgresql.org; Mon, 19 Sep 2016 07:30:05 +0000 Received: from mail.treubuch-colonia.de ([195.243.249.203] helo=ns.ddd-do.de) by makus.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA384:256) (Exim 4.84_2) (envelope-from ) id 1blt1X-0006us-B3 for pgsql-performance@postgresql.org; Mon, 19 Sep 2016 07:30:03 +0000 From: "Knels, Udo" To: "'pgsql-performance@postgresql.org'" Subject: Problem with performance using query with unnest after migrating from V9.1 to V9.2 and higher Thread-Topic: Problem with performance using query with unnest after migrating from V9.1 to V9.2 and higher Thread-Index: AdH5O1H79waUwOJ+T8+JxfQvcAsxrQ== Date: Mon, 19 Sep 2016 07:29:48 +0000 Message-ID: <1d6ce510f1cf4dfcad73b15ff8ff98a4@EXCH-1.ddd-do.de> Accept-Language: de-DE, en-US Content-Language: de-DE X-MS-Has-Attach: yes X-MS-TNEF-Correlator: x-ms-exchange-transport-fromentityheader: Hosted x-originating-ip: [172.16.1.180] Content-Type: multipart/related; boundary="_008_1d6ce510f1cf4dfcad73b15ff8ff98a4EXCH1ddddode_"; type="multipart/alternative" MIME-Version: 1.0 X-Pg-Spam-Score: -1.9 (-) List-Archive: List-Help: List-ID: List-Owner: List-Post: List-Subscribe: List-Unsubscribe: X-Mailing-List: pgsql-performance Precedence: bulk Sender: pgsql-performance-owner@postgresql.org --_008_1d6ce510f1cf4dfcad73b15ff8ff98a4EXCH1ddddode_ Content-Type: multipart/alternative; boundary="_000_1d6ce510f1cf4dfcad73b15ff8ff98a4EXCH1ddddode_" --_000_1d6ce510f1cf4dfcad73b15ff8ff98a4EXCH1ddddode_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Hi, I have a problem with the performance of some queries using unnest after mi= grating from V9.1.12 to V9.5.3. It doesn't depend on if I am using pg_upgra= de or pg_dumpall for migration. I tried different versions of PostgreSQL. The problem starts with V9.2. The databases V9.1.12 and V9.5.3 are on the same virtual machine with Micro= soft Windows 2012 R2, 16 GB Ram and 1 Intel Xeon CPU E7-4820 2,00 GHz and t= hey are using the same postgresql.conf. The server configuration changes are: "archive_command" "copy ""%p"" ""E:/9.5/archive/%f""" "archive_mode" "on" "autovacuum" "off" "autovacuum_analyze_threshold" "250" "autovacuum_naptime" "1min" "autovacuum_vacuum_threshold" "1000" "default_text_search_config" "pg_catalog.simple" "default_with_oids" "on" "dynamic_shared_memory_type" "windows" "effective_cache_size" "4000MB" "lc_messages" "German, Germany" "lc_monetary" "German, Germany" "lc_numeric" "German, Germany" "lc_time" "German, Germany" "listen_addresses" "*" "log_autovacuum_min_duration" "0" "log_connections" "on" "log_destination" "stderr" "log_directory" "E:/9.5/log" "log_disconnections" "on" "log_line_prefix" "%t %u %r %d " "log_min_duration_statement" "-1" "log_min_error_statement" "debug5" "log_statement" "mod" "log_temp_files" "20MB" "log_truncate_on_rotation" "on" "logging_collector" "on" "maintenance_work_mem" "256MB" "max_connections" "200" "max_stack_depth" "2MB" "port" "5432" "shared_buffers" "4000MB" "wal_buffers" "2MB" "wal_level" "archive" "work_mem" "20MB" I created the following test-schema and test-table on both databases: create schema schema_test AUTHORIZATION postgres; CREATE TABLE schema_test.table_a ( col0001 character varying(10) NOT NULL, -- customer number col0002 character varying(5) NOT NULL, -- account number col0003 date NOT NULL, -- booking period col0004 smallint NOT NULL DEFAULT 0, -- cost center col0005 numeric(12,2) NOT NULL DEFAULT 0, -- value01 col0006 numeric(12,2) NOT NULL DEFAULT 0, -- value02 CONSTRAINT table_a_pk PRIMARY KEY (col0001, col0002, col0003, col0004), CONSTRAINT table_a_chk01 CHECK (col0002::text ~ '^[[:digit:]]{0,5}$'::tex= t) ) WITH ( OIDS=3DTRUE ); ALTER TABLE schema_test.table_a OWNER TO postgres; GRANT ALL ON TABLE schema_test.table_a TO PUBLIC; Then I imported 50 datas: 5010010000 01351 2000-01-01 0 1568.13 0.00 5010010000 01351 2000-12-01 0 -1568.13 0.00 7810405800 01491 2005-12-01 0 1347.00 0.00 7810405801 05720 2005-12-01 0 148.92 0.00 5010010000 01496 2000-01-01 0 -3196.90 -142834.53 5010010000 01496 2000-02-01 0 -1628.77 0.00 5010010000 01496 2000-03-01 0 -1628.77 0.00 5010010000 01496 2000-04-01 0 -1628.77 0.00 5010010000 01496 2000-05-01 0 -1628.77 0.00 5010010000 01496 2000-06-01 0 -1628.77 0.00 5010010000 01496 2000-07-01 0 -1628.77 0.00 5010010000 01496 2000-08-01 0 -1628.77 0.00 5010010000 01496 2000-09-01 0 -1628.77 0.00 5010010000 01496 2000-10-01 0 -1628.77 0.00 5010010000 01496 2000-11-01 0 -1628.77 0.00 7810405800 01490 2005-12-01 0 1533.20 0.00 5010010000 01496 2000-12-01 0 -60.64 0.00 7810405801 05600 2005-12-01 0 74.82 0.00 5010010000 02009 2000-01-01 0 11808.59 0.00 7810405801 01101 2005-12-01 0 12700.00 0.00 7810405801 01225 2005-12-01 0 -5898.23 0.00 5010010000 02009 2000-02-01 0 11808.59 0.00 7810405801 05958 2005-12-01 0 76.25 0.00 5010010000 02009 2000-03-01 0 11808.59 0.00 7810405802 04502 2005-12-01 0 144.89 0.00 7810405802 04320 2005-12-01 0 22.48 0.00 5010010000 02009 2000-04-01 0 11808.59 0.00 3030112600 01201 2006-02-01 0 -29.88 0.00 5010010000 02009 2000-05-01 0 11808.59 0.00 7810405802 01001 2005-12-01 0 2416.24 0.00 7810405802 09295 2005-12-01 0 -5219.00 0.00 5010010000 02009 2000-06-01 0 11808.59 0.00 7810405802 05216 2005-12-01 0 719.86 0.00 7810405802 08823 2005-12-01 0 -14318.85 0.00 5010010000 02009 2000-07-01 0 11808.59 0.00 7810405802 09800 2005-12-01 0 -51.29 0.00 3030112600 09000 2006-02-01 0 -29550.83 0.00 5010010000 02009 2000-08-01 0 11808.59 0.00 7810405801 04500 2005-12-01 0 175.00 0.00 3030112600 04100 2006-02-01 0 1839.19 0.00 5010010000 02009 2000-09-01 0 11808.59 0.00 7810405801 05890 2005-12-01 0 1200.00 0.00 3030112600 05958 2006-02-01 0 24.56 0.00 5010010000 02009 2000-10-01 0 11808.59 0.00 7810405802 04802 2005-12-01 0 1347.18 0.00 7810405801 04800 2005-12-01 0 354.51 0.00 5010010000 02009 2000-11-01 0 11808.59 0.00 7810405801 04400 2005-12-01 0 47.97 0.00 7810405801 04510 2005-12-01 0 326.80 0.00 5010010000 02009 2000-12-01 0 11808.59 0.00 The query with the problem: select col0002 from schema_test.table_a where col0001 in (select unnest(string_to_array('5010010000',','))) group by 1 order by 1 V9.1: 16 msec V9.5: 31 msec In the original table we have 15 million rows. V9.1: 47 msec V9.5: 6,2 sec Explain Analyze: V9.1: [cid:image005.jpg@01D1F94C.77941840] V9.5: [cid:image007.jpg@01D1F94C.77941840] Query plan: V9.1: [cid:image009.jpg@01D1F94C.77941840] "Sort (cost=3D23.57..24.07 rows=3D200 width=3D9) (actual time=3D0.210..0.2= 10 rows=3D3 loops=3D1)" " Sort Key: table_a.col0002" " Sort Method: quicksort Memory: 25kB" " Buffers: shared hit=3D2" " -> HashAggregate (cost=3D13.93..15.93 rows=3D200 width=3D9) (actual ti= me=3D0.184..0.186 rows=3D3 loops=3D1)" " Buffers: shared hit=3D2" " -> Nested Loop (cost=3D4.31..12.82 rows=3D445 width=3D9) (actual= time=3D0.126..0.154 rows=3D26 loops=3D1)" " Buffers: shared hit=3D2" " -> HashAggregate (cost=3D0.02..0.03 rows=3D1 width=3D32) (= actual time=3D0.027..0.028 rows=3D1 loops=3D1)" " -> Result (cost=3D0.00..0.01 rows=3D1 width=3D0) (ac= tual time=3D0.013..0.015 rows=3D1 loops=3D1)" " -> Bitmap Heap Scan on table_a (cost=3D4.28..12.73 rows=3D= 4 width=3D23) (actual time=3D0.086..0.095 rows=3D26 loops=3D1)" " Recheck Cond: ((col0001)::text =3D (unnest('{501001000= 0}'::text[])))" " Buffers: shared hit=3D2" " -> Bitmap Index Scan on table_a_pk (cost=3D0.00..4.2= 8 rows=3D4 width=3D0) (actual time=3D0.063..0.063 rows=3D26 loops=3D1)" " Index Cond: ((col0001)::text =3D (unnest('{50100= 10000}'::text[])))" " Buffers: shared hit=3D1" "Total runtime: 0.339 ms" https://explain.depesz.com/s/sdN V9.5: [cid:image006.png@01D1F945.4A225A40] "Sort (cost=3D40.09..40.59 rows=3D200 width=3D9) (actual time=3D0.172..0.1= 73 rows=3D3 loops=3D1)" " Sort Key: table_a.col0002" " Sort Method: quicksort Memory: 25kB" " Buffers: shared hit=3D1" " -> HashAggregate (cost=3D30.45..32.45 rows=3D200 width=3D9) (actual ti= me=3D0.137..0.138 rows=3D3 loops=3D1)" " Group Key: table_a.col0002" " Buffers: shared hit=3D1" " -> Hash Semi Join (cost=3D2.76..29.31 rows=3D455 width=3D9) (act= ual time=3D0.061..0.113 rows=3D26 loops=3D1)" " Hash Cond: ((table_a.col0001)::text =3D (unnest('{5010010000= }'::text[])))" " Buffers: shared hit=3D1" " -> Seq Scan on table_a (cost=3D0.00..19.10 rows=3D910 widt= h=3D23) (actual time=3D0.022..0.038 rows=3D50 loops=3D1)" " Buffers: shared hit=3D1" " -> Hash (cost=3D1.51..1.51 rows=3D100 width=3D32) (actual = time=3D0.023..0.023 rows=3D1 loops=3D1)" " Buckets: 1024 Batches: 1 Memory Usage: 9kB" " -> Result (cost=3D0.00..0.51 rows=3D100 width=3D0) (= actual time=3D0.013..0.015 rows=3D1 loops=3D1)" "Planning time: 0.413 ms" "Execution time: 0.263 ms" https://explain.depesz.com/s/JUYr The difference is that V9.1 uses Nested Loop and the index table_a_pk. V9.2= and higher don't use the index. What is the reason? Is there a parameter we can change? Thanks for your help. Greetings, Udo Knels Dipl.-Informatiker Telefon: 0231 / 4506 375 Telefax: 0231 / 4506 9375 E-Mail : u.knels@treubuch-it.de ________________________________ [cid:image001.jpg@01D21258.5CFE2FF0] Schleefstr. 32 44287 Dortmund info@treubuch-it.de Sitz: Dortmund Amtsgericht: Dortmund, HRB 6231 Gesch=E4ftsf=FChrer: Hans Auf dem Kamp USt-IdNr.: DE124728517 ________________________________ Diese E-Mail kann vertrauliche Informationen enthalten. Wenn Sie nicht der = Adressat sind, sind Sie nicht zur Verwendung der in dieser E-Mail enthaltenen Informationen befugt. Bitte benachrichtige= n Sie uns =FCber den irrt=FCmlichen Erhalt. This e-mail may contain confidential information. If you are not the addres= see you are not authorized to make use of the information contained in this e-mail. Please inform us immediately t= hat you have received it by mistake. --_000_1d6ce510f1cf4dfcad73b15ff8ff98a4EXCH1ddddode_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Hi,

 

I have a problem with the performance of so= me queries using unnest after migrating from V9.1.12 to V9.5.3. It doesn= 217;t depend on if I am using pg_upgrade or pg_dumpall for migration.

I tried different versions of PostgreSQL. T= he problem starts with V9.2.

The databases V9.1.12 and V9.5.3 are on the= same virtual machine with Microsoft Windows 2012 R2, 16 GB Ram and 1 Intel= Xeon CPU E7-4820 2,00 GHz and they are using the same postgresql.conf.

 

The server configuration changes are:<= /o:p>

"archive_command"  &nbs= p;            &= nbsp;     "copy ""%p"" "&= quot;E:/9.5/archive/%f"""      &nbs= p; 

"archive_mode"   &= nbsp;           &nbs= p;        "on"  &nbs= p;    

"autovacuum"   &nb= sp;            =           "off" = ;      

"autovacuum_analyze_threshold"&nb= sp;       "250"   &n= bsp;   

"autovacuum_naptime"  &= nbsp;            &nb= sp; "1min"       

"autovacuum_vacuum_threshold"&nbs= p;        "1000"  &n= bsp;     

"default_text_search_config" = ;         "pg_catalog.simple&q= uot;       

"default_with_oids"  &n= bsp;            = ;    "on"       = ;

"dynamic_shared_memory_type" = ;         "windows" =       

"effective_cache_size"  = ;            &n= bsp; "4000MB"       

"lc_messages"   &n= bsp;            &nbs= p;        "German, Germany&quo= t;       

"lc_monetary"   &n= bsp;            = ;         "German, Germany&quo= t;       

"lc_numeric"   &nb= sp;            =           "German, German= y"       

"lc_time"    =             &nb= sp;            "= ;German, Germany"       

"listen_addresses"  &nb= sp;             = ;    "*"      &= nbsp;

"log_autovacuum_min_duration"&nbs= p;        "0"   = ;    

"log_connections"  &nbs= p;            &= nbsp;     "on"     &= nbsp; 

"log_destination"     &= nbsp;           &nbs= p;   "stderr"       

"log_directory"     &nb= sp;            =      "E:/9.5/log"    &nbs= p;  

"log_disconnections"  &= nbsp;           &nbs= p;   "on"       

"log_line_prefix"  &nbs= p;            &= nbsp;     "%t %u %r %d "   &nb= sp;   

"log_min_duration_statement" = ;         "-1"  = ;     

"log_min_error_statement" &n= bsp;           "debu= g5"       

"log_statement"   =             &nb= sp;       "mod"   &n= bsp;   

"log_temp_files"   = ;            &n= bsp;      "20MB"    =    

"log_truncate_on_rotation" &= nbsp;          "on"&= nbsp;      

"logging_collector"  &n= bsp;            = ;    "on"       = ;

"maintenance_work_mem"  = ;             &= nbsp;"256MB"       

"max_connections"  &nbs= p;            &= nbsp;     "200"     =   

"max_stack_depth"  &nbs= p;            &= nbsp;     "2MB"

"port"    &nb= sp;            =             &nb= sp;  "5432"       

"shared_buffers"   = ;            &n= bsp;      "4000MB"   &nbs= p;   

"wal_buffers"   &n= bsp;            = ;         "2MB" &nbs= p;     

"wal_level"   &nbs= p;            &= nbsp;          "archive&q= uot;       

"work_mem"    = ;            &n= bsp;           "20MB= "       

 

I created the following test-schema and tes= t-table on both databases:

 

create schema schema_test AUTHORIZATION pos= tgres;

 

CREATE TABLE schema_test.table_a

(

  col0001 character varying(10) NOT NU= LL, -- customer number

  col0002 character varying(5) NOT NUL= L, -- account number

  col0003 date NOT NULL, -- booking pe= riod

  col0004 smallint NOT NULL DEFAULT 0,= -- cost center

  col0005 numeric(12,2) NOT NULL DEFAU= LT 0, -- value01

  col0006 numeric(12,2) NOT NULL DEFAU= LT 0, -- value02

  CONSTRAINT table_a_pk PRIMARY KEY (c= ol0001, col0002, col0003, col0004),

  CONSTRAINT table_a_chk01 CHECK (col0= 002::text ~ '^[[:digit:]]{0,5}$'::text)

)

WITH (

  OIDS=3DTRUE

);

 

ALTER TABLE schema_test.table_a OWNER TO po= stgres;

GRANT ALL ON TABLE schema_test.table_a TO P= UBLIC;

 

Then I imported 50 datas:=

 

5010010000  01351 2000-01-01  0&n= bsp;    1568.13     0.00

5010010000  01351 2000-12-01  0&n= bsp;    -1568.13    0.00

7810405800  01491 2005-12-01  0&n= bsp;    1347.00     0.00

7810405801  05720 2005-12-01  0&n= bsp;    148.92      0.00=

5010010000  01496 2000-01-01  0&n= bsp;    -3196.90    -142834.53

5010010000  01496 2000-02-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-03-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-04-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-05-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-06-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-07-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-08-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-09-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-10-01  0&n= bsp;    -1628.77    0.00

5010010000  01496 2000-11-01  0&n= bsp;    -1628.77    0.00

7810405800  01490 2005-12-01  0&n= bsp;    1533.20     0.00

5010010000  01496 2000-12-01  0&n= bsp;    -60.64      0.00=

7810405801  05600 2005-12-01  0&n= bsp;    74.82       0.00=

5010010000  02009 2000-01-01  0&n= bsp;    11808.59    0.00

7810405801  01101 2005-12-01  0&n= bsp;    12700.00    0.00

7810405801  01225 2005-12-01  0&n= bsp;    -5898.23    0.00

5010010000  02009 2000-02-01  0&n= bsp;    11808.59    0.00

7810405801  05958 2005-12-01  0&n= bsp;    76.25       0.00=

5010010000  02009 2000-03-01  0&n= bsp;    11808.59    0.00

7810405802  04502 2005-12-01  0&n= bsp;    144.89      0.00=

7810405802  04320 2005-12-01  0&n= bsp;    22.48       0.00=

5010010000  02009 2000-04-01  0&n= bsp;    11808.59    0.00

3030112600  01201 2006-02-01  0&n= bsp;    -29.88      0.00=

5010010000  02009 2000-05-01  0&n= bsp;    11808.59    0.00

7810405802  01001 2005-12-01  0&n= bsp;    2416.24     0.00

7810405802  09295 2005-12-01  0&n= bsp;    -5219.00    0.00

5010010000  02009 2000-06-01  0&n= bsp;    11808.59    0.00

7810405802  05216 2005-12-01  0&n= bsp;    719.86      0.00=

7810405802  08823 2005-12-01  0&n= bsp;    -14318.85   0.00

5010010000  02009 2000-07-01  0&n= bsp;    11808.59    0.00

7810405802  09800 2005-12-01  0&n= bsp;    -51.29      0.00=

3030112600  09000 2006-02-01  0&n= bsp;    -29550.83   0.00

5010010000  02009 2000-08-01  0&n= bsp;    11808.59    0.00

7810405801  04500 2005-12-01  0&n= bsp;    175.00      0.00=

3030112600  04100 2006-02-01  0&n= bsp;    1839.19     0.00

5010010000  02009 2000-09-01  0&n= bsp;    11808.59    0.00

7810405801  05890 2005-12-01  0&n= bsp;    1200.00     0.00

3030112600  05958 2006-02-01  0&n= bsp;    24.56       0.00=

5010010000  02009 2000-10-01  0&n= bsp;    11808.59    0.00

7810405802  04802 2005-12-01  0&n= bsp;    1347.18     0.00

7810405801  04800 2005-12-01  0&n= bsp;    354.51      0.00=

5010010000  02009 2000-11-01  0&n= bsp;    11808.59    0.00

7810405801  04400 2005-12-01  0&n= bsp;    47.97       0.00=

7810405801  04510 2005-12-01  0&n= bsp;    326.80      0.00=

5010010000  02009 2000-12-01  0&n= bsp;    11808.59    0.00

 

The query with the problem:

 

select col0002

from schema_test.table_a<= /p>

where col0001 in (select unnest(string_to_a= rray('5010010000',',')))

group by 1

order by 1

 

V9.1: 16 msec

V9.5: 31 msec

 

In the original table we have 15 million ro= ws.

V9.1: 47 msec

V9.5: 6,2 sec

 

Explain Analyze:

V9.1:

3D"cid:image005.jpg@01D1F94C.77941840"

 

V9.5:

3D"cid:image007.jpg@01D1F94C.77941840"

 

Query plan:

V9.1:

3D"cid:image009.jpg@01D1F94C.77941840"

"Sort  (cost=3D23.57..24.07 rows= =3D200 width=3D9) (actual time=3D0.210..0.210 rows=3D3 loops=3D1)"

"  Sort Key: table_a.col0002"= ;

"  Sort Method: quicksort  M= emory: 25kB"

"  Buffers: shared hit=3D2"<= o:p>

"  ->  HashAggregate = ; (cost=3D13.93..15.93 rows=3D200 width=3D9) (actual time=3D0.184..0.186 ro= ws=3D3 loops=3D1)"

"      &= nbsp; Buffers: shared hit=3D2"

"      &= nbsp; ->  Nested Loop  (cost=3D4.31..12.82 rows=3D445 width=3D= 9) (actual time=3D0.126..0.154 rows=3D26 loops=3D1)"=

"      &= nbsp;       Buffers: shared hit=3D2"

"      &= nbsp;       ->  HashAggregate  (= cost=3D0.02..0.03 rows=3D1 width=3D32) (actual time=3D0.027..0.028 rows=3D1= loops=3D1)"

"      &= nbsp;           &nbs= p; ->  Result  (cost=3D0.00..0.01 rows=3D1 width=3D0) (actual = time=3D0.013..0.015 rows=3D1 loops=3D1)"

"      &= nbsp;       ->  Bitmap Heap Scan on t= able_a  (cost=3D4.28..12.73 rows=3D4 width=3D23) (actual time=3D0.086.= .0.095 rows=3D26 loops=3D1)"

"      &= nbsp;           &nbs= p; Recheck Cond: ((col0001)::text =3D (unnest('{5010010000}'::text[])))&quo= t;

"      &= nbsp;           &nbs= p; Buffers: shared hit=3D2"

"       =             &nb= sp;->  Bitmap Index Scan on table_a_pk  (cost=3D0.00..4.28 row= s=3D4 width=3D0) (actual time=3D0.063..0.063 rows=3D26 loops=3D1)"

"      &= nbsp;           &nbs= p;       Index Cond: ((col0001)::text =3D (un= nest('{5010010000}'::text[])))"

"      &= nbsp;           &nbs= p;       Buffers: shared hit=3D1"

"Total runtime: 0.339 ms"

 

https://explain.depesz.com/s/sdN

 

 

V9.5:

3D"cid:image006.png@01D1F945.4A225A40"

 

"Sort  (cost=3D40.09..40.59 rows= =3D200 width=3D9) (actual time=3D0.172..0.173 rows=3D3 loops=3D1)"

"  Sort Key: table_a.col0002"= ;

"  Sort Method: quicksort  M= emory: 25kB"

"  Buffers: shared hit=3D1"<= o:p>

"  ->  HashAggregate = ; (cost=3D30.45..32.45 rows=3D200 width=3D9) (actual time=3D0.137..0.138 ro= ws=3D3 loops=3D1)"

"      &= nbsp; Group Key: table_a.col0002"

"      &= nbsp; Buffers: shared hit=3D1"

"      &= nbsp; ->  Hash Semi Join  (cost=3D2.76..29.31 rows=3D455 width= =3D9) (actual time=3D0.061..0.113 rows=3D26 loops=3D1)"

"      &= nbsp;       Hash Cond: ((table_a.col0001)::te= xt =3D (unnest('{5010010000}'::text[])))"

"      &= nbsp;       Buffers: shared hit=3D1"

"      &= nbsp;       ->  Seq Scan on table_a&n= bsp; (cost=3D0.00..19.10 rows=3D910 width=3D23) (actual time=3D0.022..0.038= rows=3D50 loops=3D1)"

"      &= nbsp;           &nbs= p; Buffers: shared hit=3D1"

"      &= nbsp;       ->  Hash  (cost=3D1.= 51..1.51 rows=3D100 width=3D32) (actual time=3D0.023..0.023 rows=3D1 loops= =3D1)"

"       =             &nb= sp;Buckets: 1024  Batches: 1  Memory Usage: 9kB"<= /span>

"      &= nbsp;           &nbs= p; ->  Result  (cost=3D0.00..0.51 rows=3D100 width=3D0) (actua= l time=3D0.013..0.015 rows=3D1 loops=3D1)"

"Planning time: 0.413 ms"

"Execution time: 0.263 ms"

 

https://explain.d= epesz.com/s/JUYr

 

 

The difference is that V9.1 uses Nested Loop and the index tabl= e_a_pk. V9.2 and higher don’t use the index.

What is the reason? Is there a parameter we can change?

Thanks for your help.

Greetings,

Udo Knels
Dipl.-Informatiker

Telefon:  0231 / 4506 375
Telefax:  0231 / 4506 9375
E-Mail :  u.knels@treubuch-it.de

 =


Schleefstr. 32
44287 Dortmund
info@t= reubuch-it.de


Sitz: Dortmund
Amtsgericht: Dortmund, HRB 6231

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