From: Tino Wildenhain <tino@wildenhain.de>
To: c k <shreeseva.learning@gmail.com>
Cc: pgsql-general@postgresql.org
Cc: pgsql-admin@postgresql.org
Subject: Re: [GENERAL] LIKE and SIMILAR TO
Date: Fri, 22 Aug 2008 13:31:05 +0200
Message-ID: <48AEA379.7080807@wildenhain.de> (raw)
In-Reply-To: <d8e7a1e30808220413s3e7c593fr7ee2be6af70ff1ca@mail.gmail.com>
References: <d8e7a1e30808220413s3e7c593fr7ee2be6af70ff1ca@mail.gmail.com>
Hi,
c k wrote:
> Hello all,
> As we are migrating our ERP application from MySQL to PostgreSQL we have
> some difficulties. One of them is use of Like and Similar to operators.
> We often use LIKE to search a string from front-end without case
> sensetivity. As postgreSQL's LIKE is case sensitive, we tried ILIKE and
> SIMILAR TO, but both are slower than LIKE and we must need case
> insensitivity. How can we get this by increases speed. All search
> columns are VARCHAR(100)to VARCHAR(250). Currently without index.
You could build an index on lower(column) and use lower(column) like ...
this would speed up queries with exact match as well as 'foo%'
e.g. "start with..." match.
Make sure when you create the database cluster (initdb) you
used the currect locale, otherwise lower() (and ilike) probably
do not work as you might expect.
For any more complex searches I'd recommend full text index,
for example tsearch2.
Regards
Tino
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To: pgsql-admin@postgresql.org
Cc: tino@wildenhain.de, shreeseva.learning@gmail.com, pgsql-general@postgresql.org
Subject: Re: [GENERAL] LIKE and SIMILAR TO
In-Reply-To: <48AEA379.7080807@wildenhain.de>
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