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Jakob Huber
postgres-lambda-diff
Commits
a00d6b23
Commit
a00d6b23
authored
21 years ago
by
Bruce Momjian
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Update for 7.4 --- prefer IN to EXISTS.
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a35deb54
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doc/FAQ
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doc/FAQ
doc/src/FAQ/FAQ.html
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doc/src/FAQ/FAQ.html
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View file @
a00d6b23
Frequently Asked Questions (FAQ) for PostgreSQL
Last updated:
Fri
Oct
10 17:27:02
E
D
T 2003
Last updated:
Wed
Oct
29 15:19:43
E
S
T 2003
Current maintainer: Bruce Momjian (pgman@candle.pha.pa.us)
...
...
@@ -1031,11 +1031,11 @@ CREATE TABLE test (x int, modtime timestamp DEFAULT CURRENT_TIMESTAMP );
4.22) Why are my subqueries using IN so slow?
Currently, we join subqueries
to outer queries by
sequentially
scanning the result of the subquery for each row of the
outer query.
If the subquery returns only a few rows and the outer
query returns
many rows, IN is fastest. To speed up other queries,
replace IN with
EXISTS:
In versions prior to 7.4, subqueries were joined
to outer queries by
sequentially
scanning the result of the subquery for each row of the
outer query.
If the subquery returns only a few rows and the outer
query returns
many rows, IN is fastest. To speed up other queries,
replace IN with
EXISTS:
SELECT *
FROM tab
WHERE col IN (SELECT subcol FROM subtab);
...
...
@@ -1045,8 +1045,10 @@ CREATE TABLE test (x int, modtime timestamp DEFAULT CURRENT_TIMESTAMP );
FROM tab
WHERE EXISTS (SELECT subcol FROM subtab WHERE subcol = col);
For this to be fast, subcol should be an indexed column. This
preformance problem will be fixed in 7.4.
For this to be fast, subcol should be an indexed column.
In version 7.4 and later, IN actually uses the same sophisticated join
techniques as normal queries, and is prefered to using EXISTS.
4.23) How do I perform an outer join?
...
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doc/src/FAQ/FAQ.html
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a00d6b23
...
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@@ -10,7 +10,7 @@
alink=
"#0000ff"
>
<H1>
Frequently Asked Questions (FAQ) for PostgreSQL
</H1>
<P>
Last updated:
Fri
Oct
10 17:27:02
E
D
T 2003
</P>
<P>
Last updated:
Wed
Oct
29 15:19:43
E
S
T 2003
</P>
<P>
Current maintainer: Bruce Momjian (
<A
href=
"mailto:pgman@candle.pha.pa.us"
>
pgman@candle.pha.pa.us
</A>
)
<BR>
...
...
@@ -1303,10 +1303,10 @@ BYTEA bytea variable-length byte array (null-byte safe)
<H4><A
name=
"4.22"
>
4.22
</A>
) Why are my subqueries using
<CODE><SMALL>
IN
</SMALL></CODE>
so slow?
</H4>
<P>
Currently, we join subqueries to outer queries by sequentially
scanning the result of the subquery for each row of
the outer
query. If the subquery returns only a few rows and the outer
query
returns many rows,
<CODE><SMALL>
IN
</SMALL></CODE>
is fastest. To
<P>
In versions prior to 7.4, subqueries were joined to outer queries
by sequentially
scanning the result of the subquery for each row of
the outer
query. If the subquery returns only a few rows and the outer
query
returns many rows,
<CODE><SMALL>
IN
</SMALL></CODE>
is fastest. To
speed up other queries, replace
<CODE>
IN
</CODE>
with
<CODE>
EXISTS
</CODE>
:
</P>
<PRE>
SELECT *
...
...
@@ -1320,7 +1320,9 @@ BYTEA bytea variable-length byte array (null-byte safe)
</PRE>
For this to be fast,
<CODE>
subcol
</CODE>
should be an indexed column.
This preformance problem will be fixed in 7.4.
<P>
In version 7.4 and later,
<CODE>
IN
</CODE>
actually uses the same
sophisticated join techniques as normal queries, and is prefered
to using
<CODE>
EXISTS
</CODE>
.
<H4><A
name=
"4.23"
>
4.23
</A>
) How do I perform an outer join?
</H4>
...
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