La requête est exécutée et utilisée pour peupler la vue à l'exécution de la commande (sauf si WITH NO DATA est utilisé) et peut être rafraichi plus tard en utilisant REFRESH MATERIALIZED VIEW. Description. This can be a problem if your application can’t tolerate downtime while the refresh is happening. > 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. ALTER MATERIALIZED VIEW modifie les différentes propriétés d'une vue matérialisée existante.. Vous devez être le propriétaire d'une vue matérialisée pour utiliser ALTER MATERIALIZED VIEW.Pour changer le schéma d'une vue matérialisée, vous devez aussi avoir le droit CREATE sur le nouveau schéma. please use Click the SQL tab to continue. La requête est exécutée et utilisée pour peupler la vue à l'exécution de la commande (sauf si WITH NO DATA est utilisé) et peut être rafraichi plus tard en utilisant REFRESH MATERIALIZED VIEW . Updates are probably best done by issuing a DELETE and SELECT INTO or lower-level equivalent. For each view therefore you need to be able to transform the original select into an algorithm that takes a change (or list of changes) and outputs ranges of rows in the view to update. The main components required fall into three pieces: 3. 1. REFRESH MATERIALIZED VIEW remplace le contenu entier d'une vue matérialisée. Les principales différences entre : CREATE MATERIALIZED VIEW ma_vue_mat AS SELECT * FROM ma_table; et : CREATE TABLE ma_vue_mat AS SELECT * FROM ma_table; On the other hands, Materialized Views are stored on the disc. CREATE MATERIALIZED VIEW est similaire à CREATE TABLE AS, sauf qu'il se rappelle aussi de la requête utilisée pour initialiser la vue pour qu'elle puisse être rafraichie à la demande. Pour exécuter cette commande, vous devez être le propriétaire de la vue matérialisée. Consider a table which records sales: If people want to be able to quickly graph historical sales data, they might want to summarize, and they may not care about the incomplete data for the current date: This materialized view might be useful for displaying a graph in the dashboard created for salespeople. CREATE MATERIALIZED VIEW is similar to CREATE TABLE AS, except that it also remembers the query used to initialize the view, so that it can be refreshed later upon demand. When a materialized view is referenced in a query, the data is returned directly from the materialized view, like from a table; the rule is only used for populating the materialized view. L'ancien contenu est supprimé. However, Materialized View is a physical copy, picture or snapshot of the base table. A materialized view has many of the … Creation of materalized view. This feature is used to speed up query evaluation by storing the results of specified queries. share | improve this question | follow | edited Aug 10 at 19:03. to report a documentation issue. The query is executed and used to populate the view at the time the command is issued (unless WITH NO DATA is used) and may be refreshed later using REFRESH MATERIALIZED VIEW. For the rest of this tutorial, you will be studying about materialized views in PostgreSQL. Current state: periodically create new snapshots, or maintain using triggers. PostgreSQL provides the ability to instead create a MATERIALIZED VIEW, so that the results of the underlying query can be stored for later reference: postgres=# CREATE MATERIALIZED VIEW mv_account_balances AS SELECT a. So for the parser, a materialized view is a relation, just like a table or a view. Since PostgreSQL 9.3 there is the possibility to create materialized views in PostgreSQL. CREATE MATERIALIZED VIEW définit une vue matérialisée à partir d'une requête. The information about a materialized view in the PostgreSQL system catalogs is exactly the same as it is for a table or view. Notice we are also exploiting the ability to put an index on the materialized view, whereas file_fdw does not support indexes; this advantage might not apply for other sorts of foreign data access. We can update the views, the store the resultant records of the complex queries in a cache … This then triggers updates to any attached indices. In order to allow the user to store the result returned by a query physically and allow us to update the table records periodically, we use the PostgreSQL materialized views. Users selecting from the materialized view will see incorrect data until the refresh finishes, but in many scenarios that use a materialized view, this is an acceptable tradeoff. 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