2) All "normal" redshift views and tables are working. 1) The connection to redshift itself works. 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. Because we have an authentication server in premises. Option 2: Manually locate and drop cascade the dependent views when dependency errors arise. Note that using psycopg2 I can connect with Redshift using the tunnel. -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 … Check 'stl_load_errors' system table for details. Redshift DESCRIBE Table Command Alternative. Transaction T1 SELECTs all the rows in the table and then INSERTs a row. Late binding views are views that don’t check underlying tables until the view is queried. Based on the results of the query, identify the impacted late binding views (table_name) and columns (column_name) in those views. Redshift temp tables get created in a separate session-specific schema and lasts only for the duration of the session. 3) All spectrum tables (external tables) and views based upon those are not working. 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. I tried the POWER BI redshift connection as well as the redshift ODBC driver: The table below lists the Redshift Create temp table syntax in a database. The problem with this is that when your table contains millions of records, the power bi desktop refresh becomes unworkable due to the time taken to download the data. For example, consider below example of Hive describe command. 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. For this reason, you can name a temporary table the same as a permanent table and still not generate any errors. many databases such as MySQL, Hive provides DESCRIBE command that allows you to get the structure of a given table. We cannot connect Power BI to redshift spectrum. As the name suggests, DESCRIBE is used to describe command to describe the structure of a table. but when I check the stl_load_errors table, it … 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. Redshift will act to prevent this isolation violation error, by aborting the transaction and rolling it back. While with sqlalchemy I'm not able to do it. i really need a solution to be able to query subsets of data in redshift. 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. we got the same issue. Consider an empty table. Option 1: Use Redshift’s late binding views to “detach” the dependent view from the underlying table, thus preventing future dependency errors. Basically, Amazon Redshift won’t allow two commands to run concurrently if there are multiple possible outcomes from that happening. Not connect Power BI to Redshift spectrum allow two commands to run if. Views are views that don ’ t check underlying tables until the view queried. To DESCRIBE the structure of a table can not connect Power BI to Redshift spectrum Redshift temp get. 2 ) All spectrum tables ( external tables ) and views based upon those are not.. 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