Note that using psycopg2 I can connect with Redshift using the tunnel. By default, it performs a “hash join” by creating hashes of the join key in each table, and then it distributes them to each other node in the cluster. we got the same issue. When Redshift executes a join, it has a few strategies for connecting rows from different tables together. To elaborate more my scenario, I'm creating an ssh tunnel to Redshift. As the name suggests, DESCRIBE is used to describe command to describe the structure of a table. 3) All spectrum tables (external tables) and views based upon those are not working. Based on the results of the query, identify the impacted late binding views (table_name) and columns (column_name) in those views. many databases such as MySQL, Hive provides DESCRIBE command that allows you to get the structure of a given table. Because we have an authentication server in premises. Option 1: Use Redshift’s late binding views to “detach” the dependent view from the underlying table, thus preventing future dependency errors. Transaction T1 SELECTs all the rows in the table and then INSERTs a row. While with sqlalchemy I'm not able to do it. For example, consider below example of Hive describe command. Option 2: Manually locate and drop cascade the dependent views when dependency errors arise. Redshift DESCRIBE Table Command Alternative. I tried the POWER BI redshift connection as well as the redshift ODBC driver: If precision+scale (numeric/decimal) or size (varchar/char) information is missing from the columntype value, it is an impacted column and will need an explicit cast in the late binding view definition. Check 'stl_load_errors' system table for details. FYI, generally when it comes to troubleshooting Redshift/Postgres, it’s good to understand lock of conflicting modes and which command requires which types of locks (e.g. We cannot connect Power BI to redshift spectrum. Redshift temp tables get created in a separate session-specific schema and lasts only for the duration of the session. -a non-superuser (via automation) creates external table in that schema (resulted in error) My new workaround workflow: -a non-superuser creates the external schema so that it is the owner of it (also could have the superuser create it and subsequently alter … I am loading a zipped(.gz) CSV file into a table in Redshift schema, data did not load into the table and I get the following error: ERROR: Load into table 'MyTable' failed. Late binding views are views that don’t check underlying tables until the view is queried. 1) The connection to redshift itself works. Consider an empty table. 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