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Uppercase keywords where appropriate.
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@ -1,5 +1,5 @@
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<!--
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$Header: /cvsroot/pgsql/doc/src/sgml/perform.sgml,v 1.11 2001/10/09 18:46:00 petere Exp $
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$Header: /cvsroot/pgsql/doc/src/sgml/perform.sgml,v 1.12 2001/10/12 23:32:34 momjian Exp $
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-->
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<chapter id="performance-tips">
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@ -95,7 +95,7 @@ $Header: /cvsroot/pgsql/doc/src/sgml/perform.sgml,v 1.11 2001/10/09 18:46:00 pet
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vacuum analyze, and 7.2 development sources):
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<programlisting>
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regression=# explain select * from tenk1;
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regression=# EXPLAIN SELECT * FROM tenk1;
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NOTICE: QUERY PLAN:
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Seq Scan on tenk1 (cost=0.00..333.00 rows=10000 width=148)
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@ -106,7 +106,7 @@ Seq Scan on tenk1 (cost=0.00..333.00 rows=10000 width=148)
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This is about as straightforward as it gets. If you do
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<programlisting>
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select * from pg_class where relname = 'tenk1';
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SELECT * FROM pg_class WHERE relname = 'tenk1';
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</programlisting>
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you will find out that <classname>tenk1</classname> has 233 disk
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@ -119,7 +119,7 @@ select * from pg_class where relname = 'tenk1';
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Now let's modify the query to add a qualification clause:
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<programlisting>
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regression=# explain select * from tenk1 where unique1 < 1000;
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regression=# EXPLAIN SELECT * FROM tenk1 WHERE unique1 < 1000;
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NOTICE: QUERY PLAN:
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Seq Scan on tenk1 (cost=0.00..358.00 rows=1007 width=148)
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@ -144,7 +144,7 @@ Seq Scan on tenk1 (cost=0.00..358.00 rows=1007 width=148)
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Modify the query to restrict the qualification even more:
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<programlisting>
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regression=# explain select * from tenk1 where unique1 < 50;
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regression=# EXPLAIN SELECT * FROM tenk1 WHERE unique1 < 50;
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NOTICE: QUERY PLAN:
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Index Scan using tenk1_unique1 on tenk1 (cost=0.00..181.09 rows=49 width=148)
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@ -162,7 +162,7 @@ Index Scan using tenk1_unique1 on tenk1 (cost=0.00..181.09 rows=49 width=148)
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Add another condition to the qualification:
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<programlisting>
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regression=# explain select * from tenk1 where unique1 < 50 and
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regression=# EXPLAIN SELECT * FROM tenk1 WHERE unique1 < 50 AND
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regression-# stringu1 = 'xxx';
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NOTICE: QUERY PLAN:
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@ -177,8 +177,8 @@ Index Scan using tenk1_unique1 on tenk1 (cost=0.00..181.22 rows=1 width=148)
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Let's try joining two tables, using the fields we have been discussing:
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<programlisting>
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regression=# explain select * from tenk1 t1, tenk2 t2 where t1.unique1 < 50
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regression-# and t1.unique2 = t2.unique2;
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regression=# EXPLAIN SELECT * FROM tenk1 t1, tenk2 t2 WHERE t1.unique1 < 50
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regression-# AND t1.unique2 = t2.unique2;
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NOTICE: QUERY PLAN:
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Nested Loop (cost=0.00..330.41 rows=49 width=296)
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@ -225,8 +225,8 @@ Nested Loop (cost=0.00..330.41 rows=49 width=296)
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<programlisting>
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regression=# set enable_nestloop = off;
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SET VARIABLE
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regression=# explain select * from tenk1 t1, tenk2 t2 where t1.unique1 < 50
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regression-# and t1.unique2 = t2.unique2;
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regression=# EXPLAIN SELECT * FROM tenk1 t1, tenk2 t2 WHERE t1.unique1 < 50
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regression-# AND t1.unique2 = t2.unique2;
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NOTICE: QUERY PLAN:
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Hash Join (cost=181.22..564.83 rows=49 width=296)
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@ -257,9 +257,9 @@ Hash Join (cost=181.22..564.83 rows=49 width=296)
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For example, we might get a result like this:
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<screen>
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regression=# explain analyze
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regression-# select * from tenk1 t1, tenk2 t2
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regression-# where t1.unique1 < 50 and t1.unique2 = t2.unique2;
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regression=# EXPLAIN ANALYZE
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regression-# SELECT * FROM tenk1 t1, tenk2 t2
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regression-# WHERE t1.unique1 < 50 AND t1.unique2 = t2.unique2;
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NOTICE: QUERY PLAN:
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Nested Loop (cost=0.00..330.41 rows=49 width=296) (actual time=1.31..28.90 rows=50 loops=1)
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