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Home/ Questions/Q 7514537
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Editorial Team
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Editorial Team
Asked: May 30, 20262026-05-30T00:31:37+00:00 2026-05-30T00:31:37+00:00

I have a Postgres table with more than 8 million rows. Given the following

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I have a Postgres table with more than 8 million rows. Given the following two ways of doing the same query via DBD::Pg, I get wildly different results.

$q .= '%';

## query 1
my $sql = qq{
    SELECT a, b, c
    FROM t 
    WHERE Lower( a ) LIKE '$q'
};
my $sth1 = $dbh->prepare($sql);
$sth1->execute();

## query 2
my $sth2 = $dbh->prepare(qq{
    SELECT a, b, c
    FROM t  
    WHERE Lower( a ) LIKE ?
});
$sth2->execute($q);

query 2 is at least an order of magnitude slower than query 1… seems like it is not using the indexes, while query 1 is using the index.

Would love hear why.

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  1. Editorial Team
    Editorial Team
    2026-05-30T00:31:39+00:00Added an answer on May 30, 2026 at 12:31 am

    With LIKE expressions, b-tree indexes can only be used if the search pattern is left-anchored, i.e. terminated with %. More details in the manual.
    Thanks to @evil otto for the link. This link to the current version.

    Your first query provides this essential information at prepare time, so the query planner can use a matching index.

    Your second query does not provide any information about the pattern at prepare time, so the query planner cannot use any indexes.

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