Set the corresponding catalog and schema at the Session level, rather than passing fully qualified names in the query. For example, setcatalognametohiveandschemanametodefault. USE hive.default; Creating a materialized view CREATE MATERIALIZED VIEW mv.default.mv1 WITH(storage_table='hive.default.mv1...
SQL 复制 GRANT <privilege_type> ON <mv_name> TO <principal>; The privilege_type can be: SELECT - the user can SELECT the materialized view. REFRESH - the user can REFRESH the materialized view. Refreshes are run using the owner’s permissions. The following example creates a materialized...
You can also refresh your materialized view with DbVisualizer like so: Navigate to the materialized view you wish to refresh, right-click on the view, then choose the 'Refresh' option from the context menu. Refresh materialized view in context menu. ...
To create the materialized view with query rewrite enabled, in addition to the preceding privileges: If the schema owner does not own the master tables, then the schema owner must have the GLOBAL QUERY REWRITE privilege or the QUERY REWRITE object privilege on each table outside the schema. ...
You can use a materialized view in any SQL query by referencing the materialized view name as the data source, like a table or standard view. When a query accesses a materialized view, it sees only the data that is stored in the materialized view as of its most recent refresh. Thus, th...
Example syntax tocreate a materialized view in oracle: CREATEMATERIALIZEDVIEWMV_MY_VIEW REFRESH FASTSTARTWITHSYSDATE NEXTSYSDATE+1 ASSELECT*FROM; Oracle usesmaterialized views to replicate data to non-master sites in a replication environmentand to cache expensive queries in a data warehouse environment...
Using the SQL commander to create a view. Over time, as the underlying data changes, you'll want to refresh your materialized view. Use the following command in DbVisualizer's SQL Commander: Copy 1REFRESH MATERIALIZEDVIEWsample_materialized_view; ...
SQL> CREATE MATERIALIZED VIEW mv_emp_pk REFRESH FAST START WITH SYSDATE NEXT SYSDATE + 2 WITH PRIMARY KEY AS SELECT * FROM emp@remote_db; Materialized view created. In the above example, the first copy of the materialized view is made at SYSDATE and the interval at which the refresh has...
Materialized viewswere first supported inDatabrickswith the launch ofDLT. When you create amaterialized viewin aDatabricks SQLwarehouse, aserverless pipelineis created to process refreshes to thematerialized view. You can monitor the status of refresh operations in the DLT UI or the pipelinesAPI. See...
For example: { "indexes": [ {"action": "drop", "context": "index_abc"}, {"action": "create", "context": {"columns": ["column_1", "column_2"], "type": "hash", "unique": True}}, ], } Either way, `get_materialized_view_configuration_changes` needs to align with `get_al...