Optionally, you can partition the external tables on one or more columns. Changes to the externalĭata catalog are immediately available to any of your Amazon Redshift clusters. Using any other tool that connects to the external data catalog. Manage external tables either from Amazon Redshift using data definition language (DDL) commands or The external data catalog can be AWS Glue, the dataĬatalog that comes with Amazon Athena, or your own Apache Hive metastore. You create Redshift Spectrum tables by defining the structure for your files and registering them as Potentially use thousands of instances to take advantage of massively parallel Based on the demands of your queries, Redshift Spectrum can Less of your cluster's processing capacity than other queries. Tutorial: Querying nested data with Amazon RedshiftĪmazon Redshift Spectrum resides on dedicated Amazon Redshift servers that are independent of your cluster.Īmazon Redshift pushes many compute-intensive tasks, such as predicate filtering andĪggregation, down to the Redshift Spectrum layer.Troubleshooting queries in Amazon Redshift.Monitoring metrics in Amazon Redshift Spectrum.Example: Performing correlated subqueries in Redshift Spectrum.Improving Amazon Redshift Spectrum query.Creating external tables for Redshift Spectrum.Creating external schemas for Amazon Redshift.Creating data files for queries in Amazon Redshift.Using Redshift Spectrum with AWS Lake Formation.
IAM policies for Amazon Redshift Spectrum.
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