You can even join S3 data to data stored in Redshift, and the Redshift optimizer will take care of maximizing your query performance, optimizing both the S3 and Redshift portions of your query. Spectrum significantly extends the functionality and ease of use for Redshift by letting users access data stored in S3, without having to load it into Redshift first. You can take full advantage of Amazon Redshift Spectrum's performance from within Looker. Optionally accessing data in S3 using Amazon Redshift Spectrum Assuming you have created a user called looker, and a temp schema called looker_scratch, the command is: ALTER USER looker SET search_path TO '$user',looker_scratch,schema_of_interest,public If the looker_scratch schema is already created or has bad permissions: ALTER SCHEMA looker_scratch OWNER TO looker įinally, you should set an appropriate search_path, which Looker's SQL Runner uses to retrieve certain metadata from your database. While logged in to your Redshift database as an admin user, run: CREATE SCHEMA looker_scratch AUTHORIZATION looker See the Redshift documentation for details. If you want to GRANT SELECT on all of your tables to the looker user, execute this query: GRANT SELECT ON ALL TABLES IN SCHEMA public TO looker įor acceptable Redshift performance, it is necessary to set the proper distribution and sort keys. GRANT SELECT ON TABLE information_lumns TO looker To give Looker access to the information schema data it needs for the LookML Generator and the SQL Runner side bar, run: GRANT SELECT ON TABLE information_schema.tables TO looker Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment - GitHub - awslabs/amazon-redshift-utils: Amazon. GRANT SELECT ON TABLE public.tableN TO looker GRANT SELECT ON TABLE public.table2 TO looker GRANT SELECT ON TABLE public.table1 TO looker Next, grant the appropriate privileges: GRANT USAGE ON SCHEMA public TO looker Can use any printable ASCII characters (ASCII code 33 to 126) except ' (single quote), " (double quote), \`,/ or space.Must contain at least one uppercase letter, one lowercase letter, and one number.(taken from the Redshift ALTER USER documentation) ![]() ![]() If you're interested in using SSL encryption, see the Amazon Redshift documentation.Ĭhange some_password_here to a unique, secure password: CREATE USER looker WITH PASSWORD 'some_password_here' Consider one of the options described on the Enabling secure database access documentation page. Looker strongly recommends encrypting network traffic between the Looker application and your database. You can access data from Amazon Redshift, optionally also using Amazon Redshift Spectrum to access data stored in S3. ![]() Save money with our transparent approach to pricing Rapid Assessment
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