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From "Keith Turner (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (ACCUMULO-1833) MultiTableBatchWriterImpl.getBatchWriter() is not performant for multiple threads
Date Fri, 08 Nov 2013 15:05:18 GMT

    [ https://issues.apache.org/jira/browse/ACCUMULO-1833?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13817326#comment-13817326
] 

Keith Turner commented on ACCUMULO-1833:
----------------------------------------

There is a problem w/ the assumption that MTBW.getBatchWriter() is eventually consistent and
we can therefore cache for short periods.  This is not true within the same client code. 
The Accumulo client code tries to make things immediately consistent within a single process.
 This happens because operations like rename table clear the local table id cache, so creating
a scanner would see the change made by rename.   

We can not have time based cache in MTBW.getBatchWriter() and maintain current semantics.
  If we cache in MTBW, then an operation like rename table needs to cause the cache to clear
itself.  Maybe clearing the table id cache could increment an atomic counter and MTBW.getBatchWriter()
could check this counter.



> MultiTableBatchWriterImpl.getBatchWriter() is not performant for multiple threads
> ---------------------------------------------------------------------------------
>
>                 Key: ACCUMULO-1833
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-1833
>             Project: Accumulo
>          Issue Type: Improvement
>    Affects Versions: 1.5.0, 1.6.0
>            Reporter: Chris McCubbin
>         Attachments: ACCUMULO-1833-test.patch, ZooKeeperThreadUtilization.png
>
>
> This issue comes from profiling our application. We have a MultiTableBatchWriter created
by normal means. I am attempting to write to it with multiple threads by doing things like
the following:
> {code}
> batchWriter.getBatchWriter(table).addMutations(mutations);
> {code}
> In my test with 4 threads writing to one table, this call is quite inefficient and results
in a large performance degradation over a single BatchWriter.
> I believe the culprit is the fact that the call is synchronized. Also there is the possibility
that the zookeeper call to Tables.getTableState on every call is negatively affecting performance:
> {code}
>   @Override
>   public synchronized BatchWriter getBatchWriter(String tableName) throws AccumuloException,
AccumuloSecurityException, TableNotFoundException {
>     ArgumentChecker.notNull(tableName);
>     String tableId = Tables.getNameToIdMap(instance).get(tableName);
>     if (tableId == null)
>       throw new TableNotFoundException(tableId, tableName, null);
>     
>     if (Tables.getTableState(instance, tableId) == TableState.OFFLINE)
>       throw new TableOfflineException(instance, tableId);
>     
>     BatchWriter tbw = tableWriters.get(tableId);
>     if (tbw == null) {
>       tbw = new TableBatchWriter(tableId);
>       tableWriters.put(tableId, tbw);
>     }
>     return tbw;
>   }
> {code}
> I recommend moving the synchronized block to happen only if the batchwriter is not present,
and also only checking if the table is online at that time:
> {code}
>   @Override
>   public BatchWriter getBatchWriter(String tableName) throws AccumuloException, AccumuloSecurityException,
TableNotFoundException {
>     ArgumentChecker.notNull(tableName);
>     String tableId = Tables.getNameToIdMap(instance).get(tableName);
>     if (tableId == null)
>       throw new TableNotFoundException(tableId, tableName, null);
>     BatchWriter tbw = tableWriters.get(tableId);
>     if (tbw == null) {
>       if (Tables.getTableState(instance, tableId) == TableState.OFFLINE)
>           throw new TableOfflineException(instance, tableId);
>       tbw = new TableBatchWriter(tableId);
>       synchronized(tableWriters){
>           //only create a new table writer if we haven't been beaten to it.
>           if (tableWriters.get(tableId) == null)      
>               tableWriters.put(tableId, tbw);
>       }
>     }
>     return tbw;
>   }
> {code}



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