However, as Ismail Egilmez, business development manager at Thundra, explains in his blog:Īmazon Aurora improves on the performance of standard MySQL by 5x and improves on standard PostgreSQL by 2x, with the same hardware configuration.
#AWS POSTGRESQL 9.6 END OF LIFE UPGRADE#
Instead of a backup and restore to the new version, customers can upgrade with just a few clicks in the Amazon RDS Management Console or using the AWS SDK or CLI.ĪWS also offers Amazon Relational Database Service (RDS), which also supports the PostgreSQL database engine next to MySQL, SQL Server, MariaDB, and Oracle. In addition to the announcement of support of version 12 of PostgreSQL for Amazon Aurora, customers can also perform an in-place upgrade of your Amazon Aurora database cluster from PostgreSQL major version 11 to 12. The release with version 12 support also updates extensions including Address_standardizer, Address_standardizer_data_us, Amcheck, Citext, Hll, Hstore, Ip4r, Pg_repack, Pg_stat_statements, Pgaudit, Pglogical, Pgrouting, Plv8, Postgis, Postgis_tiger_geocoder, Postgis_topology. Furthermore, it also enables nondeterministic collations that support case-insensitive and accent-insensitive comparisons for ICU-provided collations, most common-value statistics for improved query plans, creation of generated columns that compute values with an expression, and many additional features. This new version includes better index management, improved partitioning capabilities, and executing JSON path queries per SQL/JSON specifications. AWS offers a PostgreSQL-compatible database as a fully-managed service with Amazon Aurora and now brings support for version 12 after previously providing support for minor versions 11.7, 10.12, and 9.6.17. PostgreSQL is an open-source object-relational database system that uses and extends the SQL language. As long as your application is connected to the new database version, there shouldn't be any problems.AWS has recently announced that Amazon Aurora, a MySQL and PostgreSQL-compatible relational Database built for the Cloud, now supports major version 12 of PostgreSQL. If you try to change this parameter you will get a DBGroup error. Note that the DBEngineVersion parameter in the QuickStart template will continue to be set to version 9.6.
#AWS POSTGRESQL 9.6 END OF LIFE HOW TO#
Refer to the Upgrading section of Administering Bitbucket Data Center in AWS for full details of how to upgrade. If your current Bitbucket version does not support PostgreSQL, you will also need to upgrade Bitbucket after the RDS upgrade is complete (before scaling your cluster up to 1 node).
Scale your cluster up to 1 node first, check everything is working with no issues, then you can scale your cluster back up to the ideal number.Important note: don't change the DBEngineVersion parameter in the template, as this will result in a DBGroup error. Follow the steps above to manually upgrade the Postgres RDS instance from 9.6 to 10.Scale your instance down to zero nodes.If your current Bitbucket version supports PostgreSQL 10: Analyze collects statistics about the contents of tables in the database, which the query planner can use to help determine the most efficient execution plans for queries.Īdditional steps if you use our QuickStart templates Īfter upgrading, we recommend you run ANALYZE. Ĭlick Modify DB Instance to save your changes.įor more information, see Manually Upgrading the Engine Version. For more information, see Using the Apply Immediately Setting.
This option can cause an outage in some cases.
If you prefer to apply the changes immediately, choose Apply immediately. By default, the database engine version upgrade will be queued and applied on the next scheduled maintenance window. Choose Continue and check the summary of modifications.From there, select 10.18 from the DB engine version drop-down selection. To upgrade your database instance's PostgreSQL engine version from 9.6 to 10: Enter a name for your snapshot and click Take Snapshot.įor more information, see Creating a DB Snapshot. From the Actions drop-down, select Take snapshot.You can use the search bar to filter instances by name. From there, select your database instance.
In the navigation pane, click Databases.Sign in to the AWS Management Console, use the region selector in the navigation bar to choose the AWS Region for your deployment, and open the AWS RDS console at.
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