![]() ![]() I think not needed? But happy to provide later if not enough clarity on the issue. This kind of work is impossible if creating a new connection every time (I assume that is what is doing, maybe it is something else). I want to have all my slq statements on the same script so that I can better control on the flow of the process. Typically I use SQL to explore data, so I need to write a query, eventually create a temporal table, and then continue exploring, create a second temporal table, and finally join my temporal tables to get the final result. It looks as if every time you hit "Run selected query" a new connection is made. With Amazon Redshift’s AS clause/parameter, you can create new tables in Amazon Redshift based on the result of a particular select statement. I would expect that I can query the temporal table I created. This is how you can create temporary tables with Amazon Redshift Create Table command. Highlight the second one (select), right click -> "Run selected query".Highlight the first one (create), right click -> "Run selected query" This query will give you the complete schema definition including the Redshift specific attributes distribution type/key, sort key, primary key, and column encodings in the form of a create statement as well as providing an alter table statement that sets the owner to the current owner.Paste these two queries in the same editor.I create a temporal table and afterwards I cannot query from it if I have ![]() However, if I have the two queries one after the other in the same editor, then I first highlight the create temp table statement, do right click and click on "Run selected query" (this works fine), and then highlight the select query and click on "Run selected query", I get the error temporal table does not exist. Is this something that anyone else has encountered, or found a way around? We are aware that dbt Cloud creates temporary schemas for PRs, but that is not yet an option with our setup.If I create a temporal table with a statement by clicking on "Run on active connection", delete the query and then type a second query selecting from that temporal table, everything works as expected. We’ve tried granting all manner of Redshift permissions to the CI Redshift account - it seems the last one we can’t get around is the ALTER TABLE permission needed to temporarily rename views/tables during a dbt run. To remove the permission for any users to create temporary tables, revoke the TEMP permission from the PUBLIC group and then explicitly grant the permission to create temporary tables to specific users or groups of users. The latter goes away when all the connections using it are closed. By default, users are granted permission to create temporary tables by their automatic membership in the PUBLIC group. The following illustration provides an overview of the materialized view ticketsmv that an SQL query defines by using two base tables, events and sales. COMPOUND is recommended when you update your tables regularly with INSERT, UPDATE, or DELETE operations. When you create a materialized view, Amazon Redshift runs the user-specified SQL statement to gather the data from the base table or tables and stores the result set. Double temporary tables global and can be seen and used by other connections too. To define a sort type, use either the INTERLEAVED or COMPOUND keyword with your CREATE TABLE or CREATE TABLE AS statement. Single temporary tables are specific to the connection and session (aka who created it). So we wanted to see if we could instead use each person’s development schema in our CI pipeline - but then we encountered the issue that our prod Redshift account could not touch models pushed by the users in their own schemas (and vice versa). You can create temporary tables by prefixing the table name with or. However, we started seeing frequent race conditions, where two different PRs would be running against the CI schema simultaneously, and one would cause the other to fail (typically by dropping a model needed by the other). For our CI pipeline, we set up one CI schema for everyone’s PRs to run/test against (using a prod Redshift account). CREATE TEMP TABLE testtable ( userid VARCHAR (10) ) COPY testtable (userid) FROM s3://name/recentpremidsonly. The context of why I’m trying to do thisĪs per this page, we have set up development schemas for each user. You can also CREATE a TEMP table with the same schema as the S3 file and then use the COPY command to push the data to that TEMP table. We believe we have narrowed this down to the ALTER TABLE privileges needed to rename the view/table during a dbt run for an existing view/table. It seems that two different Redshift accounts can not perform dbt run on the same schema, as whichever account first creates a view/table becomes the owner, preventing the other account from performing the necessary actions. ![]()
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