Predicates into a simpler range predicate. For optimization in that situation, Trino can compact the large Pushing down a large list of predicates to the data source can compromise Minimum size of query predicates above which Trino compacts the predicates. However, it can also increase latency for some queries. Using a large timeout can potentially result in more detailed dynamic filters. Maximum duration for which Trino will wait for dynamic filters to beĬollected from the build side of joins before starting a JDBC query. Push down dynamic filters into JDBC queries Maximum number of statements in a batched execution.ĭo not change this setting from the default. Maximum number of objects stored in the metadata cache Trino to disambiguate between schemas and tables with similar names inĬase-insensitive-name-matching.refresh-periodįrequency with which Trino checks the name matching configuration fileĭuration for which metadata, including table and column statistics, isĬache the fact that metadata, including table and column statistics, is Path to a name mapping configuration file in JSON format that allows Support case insensitive schema and table names.Ĭnfig-file The following table describes general catalog configuration properties for the If you name the property file sales.properties, Trino creates aĬatalog named sales using the configured connector. ![]() With a different name, making sure it ends in. To add another catalog, simply add another properties file to etc/catalog Multiple instances of the Redshift connector. Or want to connect to multiple Redshift clusters, you must configure Thus, if you have multiple Redshift databases, The Redshift connector can only access a single database withinĪ Redshift cluster. Multiple Redshift databases or clusters # Connection-url = jdbc:redshift://:5439/database SSL=TRUE įor more information on TLS configuration options, see the Redshift JDBC driverĭocumentation.
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