The upcoming version of Postgres is adding many basic things like the possibility to create, manage and refresh a materialized views. If WITH DATA is specified (or defaults) the backing query is executed to provide the new data, and the materialized view is left in a scannable state. If you have any queries related to Postgres Materialized view kindly comment it in to comments section. The old contents are discarded. To execute this command you must be the owner of the materialized view. However, materialized views in Postgres 9.3 have a severe limitation consisting in using an exclusive lock when refreshing it. The above answers work fine if the materialized views do not depend on each other. Description. I hope you like this article on Postgres Materialized view with examples. PostgreSQL Materialized View Refresh. Please note, REFRESH MATERIALIZED VIEW statement locks the query data so you cannot run queries against it. Considerations. This option is really good, specially with CONCURRENTLY option, but only if you can … REFRESH MATERIALIZED VIEW completely replaces the contents of a materialized view. Please be sure to answer the question.Provide details and share your research! PostgreSQL 9.4 allows you to refresh your view in a way that enables queries during the refresh: REFRESH MATERIALIZED VIEW CONCURRENTLY my_view. To better optimize your materialized view queries, you can add indexes to the materialized view … I've also got a cron job refreshing the materialized view with refresh materialized view price_changes.Everything is working great. If that is not the case, then the order in which the materialized views are refreshed is important (i.e., you need to refresh the materialized views that don't depend on any other materialized views before you refresh … REFRESH MATERIALIZED VIEW view_name. The updated patch can be tested as such: > > CREATE ROLE bar LOGIN; > CREATE TABLE a (x int); > CREATE MATERIALIZED VIEW b AS SELECT * FROM a; > \c - bar > REFRESH MATERIALIZED VIEW b; > ERROR: must be owner of materialized view b > > I'm happy to generate the backpatches for it but wanted to receive feedback > first. So for the parser, a materialized view is a relation, just like a table or a view. You can also use the above statement to refresh materialized view. One could create a PL/PGSQL function that uses these views to refresh all materialized views at once, but as this is a relatively rare command to execute that can take a long time to run, I figured it was best just to use these views to generate the code one needs to execute and then execute that code. This will refresh the data in materialized view concurrently. A complete refresh occurs when the materialized view is initially defined as BUILD IMMEDIATE, unless the materialized view references a prebuilt table.For materialized views using BUILD DEFERRED, a complete refresh must be requested before it can be used for the first time.A complete refresh may be requested at any time during the life of any materialized view. Hoping that all concepts are cleared with this Postgres Materialized view article. Refreshing all materialized views. Asking for help, clarification, or … I'd like to give users looking at the report a message "Data is fresh as of X". */30 * * * * psql -d your_database -c "REFRESH MATERIALIZED VIEW CONCURRENTLY my_mv" And then your materialized view will be refreshed at each 30 minutes. You can load data into materialized view using REFRESH MATERIALIZED VIEW statement as shown. 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