* (In the future, we're thinking of using an actual table for search instead of a materialized view, and updating individual relevant rows via triggers instead of refreshing an entire matview.) REFRESH MATERIALIZED VIEW mymatview; The information about a materialized view in the PostgreSQL system catalogs is exactly the same as it is for a table or view. An OK solution using triggers. Most of the time, existing records in this view are based on a date and are "stable", with new record sets having new dates. It's not exactly what I wanted because the trigger fires once per statement instead of once per transaction. VIEW v. MATERIALIZED VIEW. The old contents are discarded. But it works for now. Description. Postgres 9.3 has introduced the first features related to materialized views. For large data sets, sometimes VIEW does not perform well because it runs the underlying query **every** time the VIEW is referenced. 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. However, there are two preconditions that needs to be satisfied to do so: You must create an unique index on the materialized view; The unique index must include all the records of the materialized view. The upcoming version of Postgres is adding many basic things like the possibility to create, manage and refresh a materialized views. Unfortunately in such cases, only the latest query is of any relevance; all the previous queries consume processing time in vain to refresh … 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. I've got a materialized view called price_changes used for some reporting. This is what I'm doing now. I'm looking at the PostgreSQL docs where: REFRESH MATERIALIZED VIEW completely replaces the contents of a materialized view. I've also got a cron job refreshing the materialized view with refresh materialized view price_changes.Everything is working great. I have a very complex Oracle view based on other materialized views, regular views as well as some tables (I can't "fast refresh" it). So for the parser, a materialized view is a relation, just like a table or a view. Starting from 9.5, Postgres supports Concurrent Refresh as stated here in the official documentation. To execute this command you must be the owner of the materialized view. However, as the "REFRESH MATERIALIZED VIEW" query takes at least several minutes, quite often such queries pile up in a queue, and they all execute one after the other. REFRESH MATERIALIZED VIEW completely replaces the contents of a materialized view. I'd like to give users looking at the report a message "Data is fresh as of X". However, materialized views in Postgres 9.3 have a severe limitation consisting in using an exclusive lock when refreshing it. Occasionally, I receive back-dates. 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. Refreshing all materialized views. Take, for example, a view created on the pgbench dataset (scale 100, after ~150,000 transactions): postgres=# CREATE OR REPLACE VIEW account_balances AS SELECT a. In PostgreSQL view tutorial, you have learned that views are virtual tables which represent data of the underlying tables. 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. However, since 9.5 I believe, there is a way to update a MV without having to regenerate all the data. The old contents are discarded. Summary: this tutorial introduces you to PostgreSQL materialized views that allow you to store result of a query physically and update the data periodically.. Some reporting the materialized view 've got a cron job refreshing the materialized view 'd like to users! For some reporting a table or a view price_changes.Everything is working great, materialized.! Statement instead of once per statement instead of once per statement instead once! 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