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  1. Core Server
  2. SERVER-17397

Dropping a Database or Collection in a Sharded Cluster may not fully succeed

    Details

    • Type: Bug
    • Status: Open
    • Priority: Major - P3
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: Backlog
    • Component/s: Sharding
    • Labels:
      None

      Description

      Issue Status as of Apr 03, 2015

      ISSUE SUMMARY
      When dropping a database / collection in a sharded cluster, even if the drop is reported as successful it is possible the database / collection may still be present in some nodes in the cluster. At this time, we do not recommend that users drop a database or collection and then attempt to reuse the namespace.

      USER IMPACT
      When the database/collection is not successfully dropped in a given node, the corresponding files continue to use disk space in that node. Attempting to reuse the namespace may lead to undefined behavior.

      WORKAROUNDS
      To work around this issue one can follow the steps below to drop a database/collection in a sharded environment:

      1. Drop the database / collection using a mongos
      2. Connect to each shard's primary and verify the namespace has been dropped. If it has not, please drop it. Dropping a database (e.g db.dropDatabase()) removes the data files on disk for the database being dropped.
      3. Connect to a mongos, switch to the config database and remove any reference to the removed namespace from the collections chunks, locks, databases and collections:

        When dropping a database:

        use config
        db.collections.remove( { _id: /^DATABASE\./ } )
        db.databases.remove( { _id: "DATABASE" } )
        db.chunks.remove( { ns: /^DATABASE\./ } )
        db.locks.remove( { _id: /^DATABASE\./ } )
        

        When dropping a collection:

        use config
        db.collections.remove( { _id: "DATABASE.COLLECTION" } )
        db.chunks.remove( { ns: "DATABASE.COLLECTION" } )
        db.locks.remove( { _id: "DATABASE.COLLECTION" } )
        

      4. Connect to each mongos and run flushRouterConfig

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                • Created:
                  Updated: