redshift drop or truncate table very very slow

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轻奢々
轻奢々 2021-01-30 03:50

When drop or truncate a not too big table(4M rows) in my redshift database, it take very very long(hours) to complete. Does anybody experience the same issue?

Thanks

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  • 2021-01-30 04:39

    IMO AccessShareLock on tables also causes DDL commands to get stuck.

    Run this query to figure out pids of AccessShareLock

    select
      current_time,
      c.relname,
      l.database,
      l.transaction,
      l.pid,
      a.usename,
      l.mode,
      l.granted
    from pg_locks l
    join pg_catalog.pg_class c ON c.oid = l.relation
    join pg_catalog.pg_stat_activity a ON a.procpid = l.pid
    where l.pid <> pg_backend_pid();
    

    Kill the processes using select pg_terminate_backend(<pid>);

    Ensure that all your read-only applications close and releases all connections and hence these locks!

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  • 2021-01-30 04:42

    Redshift has very fast I/O, so that opeation should take less than 1 second for any cluster type or size. As diemacht said, the issue is caused because you have another connection with an open transaction.

    I had a similar issue: A crash on the client left a transaction 'open' but unreacheable. No db locks appeared on the STV_LOCKS table: (using select table_id, last_update, lock_owner, lock_owner_pid from stv_locks;)

    Also, no query was still running: (checked with: select pid, trim(user_name), starttime, query , substring(query,1,20), status from stv_recents where status='Running';)

    So the solution was to list the user sessions: SELECT * FROM STV_SESSIONS And then kill it using: SELECT pg_terminate_backend(pid)

    Or the KILL'EM ALL version:

    SELECT pg_terminate_backend(process) FROM STV_SESSIONS where user_name='user_name' and process != pg_backend_pid();
    

    Note that CANCEL {pid} did not work! (the query was cancelled but the transaction was still open and locking).

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  • 2021-01-30 04:50

    I've experienced the same problem. It turned out to be opened transaction ran from somewhere else.

    For example, if you have 2 shells open with redshift shell, you will not be able to drop a table from the first shell, that participate in an open transaction in the second shell.

    After I committed / rolled back in the second window, truncate worked perfectly.

    Hope it helped.

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  • 2021-01-30 04:54

    In my experience, as @Gerardo Grignoli says, locks don't show up in the stv_locks table, but they do show up in pg_locks. Depending on your environment it may not be acceptable to kill an arbitrary long-running session listed in stv_sessions. I find the pg_locks table to be very reliable for detecting this type of lock:

    select * from pg_locks where relation = (select oid from pg_class where relname = 'the_table')
    select pg_cancel_backend(pid)
    

    Typically, the issue is an ACCESS EXCLUSIVE lock that's deadlocking the table. So, if many locks are listed, find and kill the ACCESS EXCLUSIVE one.

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