Using Parallel Jobs to Dump the Azure Database for PostgreSQL

You can use parallel jobs to dump the databases for DumpBasedBackupset subclients. To back up the database, parallel jobs use the pg_dump -j option.

For PostgreSQL agents, the Indexing version 2 is enabled by default for newly installed clients in Feature Release 11.30 and more recent versions. For clients that are installed in older Feature Releases, the Indexing version will be 1. If you enable the Use parallel jobs to dump the database option for a client, the Indexing will be upgraded to version 2.

Before You Begin

• Verify that no jobs are running for the instance.

• During pg_dump job, the maximum backup dump size of a database may be up to 120% of the size of the database. Ensure that the staging path has sufficient free space to accommodate subclient content and the number of streams.

• If the same access node is used for multiple cloud Postgres instance backups, the space requirements should be planned considering the subclient content and the number of streams.

Procedure

1. From the navigation pane, go to Protect > Databases.

   The database overview page appears.

2. Click the Instances tab.

   The Instances page appears which displays the list of instances.

3. Click an instance.

   The instance detail page appears.

4. In the DumpBasedBackupSet section, click Edit.

   The Edit PostgreSQL Backup set dialog box appears.

5. Move the Use parallel jobs to dump the database toggle key to the right.

6. In the Number of parallel jobs box, enter the number of jobs to dump the database.

   Note

   pg_dump -j uses multiple database connections to connect to the database, once using the leader process and one more time for each worker job. As pg_dump opens n jobs+1 connections to the database, verify that the max_connections setting is set to the sufficient value that can accommodate all connections.

7. To set the staging path for backups, in the Staging path box, enter the location on the client to use for staging backups.

8. Click Save.