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Home 2017 April PostgreSQL 9.6: Introduced pg_visibility module to examine visibility map

PostgreSQL 9.6: Introduced pg_visibility module to examine visibility map

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If you don’t know what VM and FSM is, I would suggest to read below articles:

PostgreSQL: What is Visibility Map (VM)?

PostgreSQL: What is a Free Space Map (FSM)?

PostgreSQL 9.6 introduced a pg_visibility module to get the visibility map information of your table, and it is also giving page level information.
For removing fragmentation, and improve the query performance we should check the visibility map of our table.

For that, you need to create a pg_visibility module in PostgreSQL 9.6 and use it.
Previously, people are checking the suffix _vm files which associate with your relation.

Check the below demonstration on how to use pg_visibility:

Create a pg_visibility extension:

1
CREATE EXTENSION pg_visibility;

Create a sample table with 10000 dummy records:

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CREATE TABLE tbl_checkvmap AS SELECT generate_series(1,10000) AS id;

Check the visibility map:

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SELECT * FROM pg_visibility('tbl_checkvmap'::regclass);

Apr 11, 2017Anvesh Patel
PostgreSQL 9.6: Introduced wait_event_type and wait_event new columns of pg_stat_activityPostgreSQL 9.6: Introduced CROSSTABVIEW (pivot) in PSQL

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Anvesh Patel
Anvesh Patel

Database Engineer

April 11, 2017 PostgreSQLAnvesh Patel, database, database research and development, dbrnd, extension, Free Space Map, generate_series, module, pg_visibility, plpgsql, Postgres Query, postgresql, PostgreSQL 9.6, PostgreSQL Administrator, PostgreSQL Error, PostgreSQL Monitoring, PostgreSQL Performance Tuning, PostgreSQL Programming, PostgreSQL Tips and Tricks, visibility map
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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