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Home 2017 April PostgreSQL 9.6: Introduced wait_event_type and wait_event new columns of pg_stat_activity

PostgreSQL 9.6: Introduced wait_event_type and wait_event new columns of pg_stat_activity

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PostgreSQL 9.6 introduced new two columns of table pg_stat_activity. The columns are wait_event_type and wait_event.

The column wait_event_type reports the type of event a backend is waiting for, and the wait_event which is the name of the event being waiting for. These both columns are very useful for finding a query event information.

Please check small demonstration of this:

Create a sample table:

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CREATE TABLE tbl_students(rno int, name character varying(10));

Put your table in lock mode:

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BEGIN TRANSACTION;
LOCK tbl_students IN ACCESS EXCLUSIVE MODE;

Open a new query session, and try to insert a below record:

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INSERT INTO tbl_students VALUES (1,'Anvesh');

Open a new query session, and check the output of pg_stat_activity:

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SELECT query, wait_event_type, wait_event FROM pg_stat_activity

PostgreSQL Stat Activity

Apr 10, 2017Anvesh Patel
PostgreSQL 9.6: pg_notification_queue_usage function to monitor the queues and notificationsPostgreSQL 9.6: Introduced pg_visibility module to examine visibility map

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Anvesh Patel
Anvesh Patel

Database Engineer

April 10, 2017 PostgreSQLAnvesh Patel, database, database research and development, dbrnd, pg_stat_activity, plpgsql, Postgres Query, postgresql, PostgreSQL 9.6, PostgreSQL Administrator, PostgreSQL Error, PostgreSQL Monitoring, PostgreSQL Performance Tuning, PostgreSQL Programming, PostgreSQL Tips and Tricks, wait_event, wait_event_type
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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