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Home 2018 April PostgreSQL: Script to check the status of Shared Buffer (Use pg_buffercache)

PostgreSQL: Script to check the status of Shared Buffer (Use pg_buffercache)

SQL Memory

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In the previous post, I loaded table into the buffer cache of PostgreSQL (Using pg_prewarm).

PostgreSQL: Load table into Buffer Cache, Increase the Speed of Accessing data

In this post, I am sharing a script for checking the status of Shared buffer area of PostgreSQL.
Using pg_buffercache, we can check this. I took the script from the this official.

Please check the below script and output:

Create pg_buffercache module:

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CREATE EXTENSION pg_buffercache;

Script to check the status of Shared Buffer:

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SELECT
c.relname,
count(*) AS buffers
FROM pg_buffercache b
INNER JOIN pg_class c
ON b.relfilenode = pg_relation_filenode(c.oid)
AND b.reldatabase IN (0, (SELECT oid FROM pg_database
WHERE datname = current_database()))
GROUP BY c.relname
ORDER BY 2 DESC;

PostgreSQL Shared Buffer

Apr 9, 2018Anvesh Patel
PostgreSQL: Load table into Buffer Cache, Increase the Speed of Accessing dataPostgreSQL: Get the Milliseconds from the Timestamp

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Anvesh Patel
Anvesh Patel

Database Engineer

ImageApril 9, 2018 PostgreSQL, PostgreSQL DBA ScriptAnvesh Patel, Buffer Cache, database, database research and development, dbrnd, Fast table access, pg_buffercache, plpgsql, Postgres Query, postgresql, PostgreSQL Administrator, PostgreSQL Buffer, PostgreSQL Error, PostgreSQL Monitoring, PostgreSQL Performance Tuning, PostgreSQL Programming, PostgreSQL Tips and Tricks, shared buffer, Table in memory, Table Performance
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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