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John Sichi commented on HIVE-1293: ---------------------------------- Here's a scenario which is not working correctly. (Tested with thrift server plus JDBC clients.) Existing table foo. Client 1: LOCK TABLE foo EXCLUSIVE; Client 2: DROP TABLE foo; According to the doc, the DROP TABLE should fail, but it succeeds. Same is true for LOAD DATA. Probably the same reason in both cases: for these commands we don't register the output in the PREHOOK (only the POSTHOOK). INSERT is getting blocked correctly since it's in the PREHOOK. > Concurreny Model for Hive > ------------------------- > > Key: HIVE-1293 > URL: https://issues.apache.org/jira/browse/HIVE-1293 > Project: Hadoop Hive > Issue Type: New Feature > Components: Query Processor > Reporter: Namit Jain > Assignee: Namit Jain > Fix For: 0.7.0 > > Attachments: hive.1293.1.patch, hive.1293.2.patch, hive.1293.3.patch, > hive.1293.4.patch, hive.1293.5.patch, hive_leases.txt > > > Concurrency model for Hive: > Currently, hive does not provide a good concurrency model. The only > guanrantee provided in case of concurrent readers and writers is that > reader will not see partial data from the old version (before the write) and > partial data from the new version (after the write). > This has come across as a big problem, specially for background processes > performing maintenance operations. > The following possible solutions come to mind. > 1. Locks: Acquire read/write locks - they can be acquired at the beginning of > the query or the write locks can be delayed till move > task (when the directory is actually moved). Care needs to be taken for > deadlocks. > 2. Versioning: The writer can create a new version if the current version is > being read. Note that, it is not equivalent to snapshots, > the old version can only be accessed by the current readers, and will be > deleted when all of them have finished. > Comments. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.