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When executing a query that takes a long time to run, there will come a point where Metabase will kill the query and send a "close" signal to Databricks SQL, but Databricks ignores "close" via JDBC.
proposed solution
Identify the id of the query that received a timeout exception, perform the "close" (as done today) and make a request to the Databricks SQL API to kill the query.
we implemented it, but it was not being used
it will not solve the issue of keeping the connection open
described in issue #13, but it keeps the JDBC implementation
organized
Signed-off-by: Avelino <[email protected]>
we implemented it, but it was not being used
it will not solve the issue of keeping the connection open
described in issue #13, but it keeps the JDBC implementation
organized
Signed-off-by: Avelino <[email protected]>
When executing a query that takes a long time to run, there will come a point where Metabase will kill the query and send a "close" signal to Databricks SQL, but Databricks ignores "close" via JDBC.
proposed solution
Identify the
id
of the query that received a timeout exception, perform the "close" (as done today) and make a request to the Databricks SQL API to kill the query.Databricks API: Cancel statement execution
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