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