[jira] [Created] (HBASE-11817) HTable.batch() loses operations when region is splited

["t samkawa (JIRA)" <ji...@apache.org>]

t samkawa created HBASE-11817:
---------------------------------

             Summary: HTable.batch() loses operations when region is splited
                 Key: HBASE-11817
                 URL: https://issues.apache.org/jira/browse/HBASE-11817
             Project: HBase
          Issue Type: Bug
          Components: Admin, Client
    Affects Versions: 0.98.4
         Environment: 0.98.4+hadoop 2.4.1, 0.98.4 stand-alone, jdk1.6
            Reporter: t samkawa


Using HTable.batch() often loses increment operation when region split ran.

Test code snpipet is below; 
Running this 2 code blocks concurrently, different values were often recoreded although all value should be same 0xffff.

// --- code 1 ---
HTable table = new HTable(CONF);
byte[] rowKey = new byte[1];
for (int i=0;i<0xffff;i++){
 ArrayList<Increment> operations = new ArrayList<Increment>();
 for (byte c1 = (byte)'A'; c1<=(byte)'Z'; c1++) {
   rowKey[0] = c1;
   Increment opIncr = new Increment(rowKey);
   opIncr.addColumn(FAM, HConstants.EMPTY_BYTE_ARRAY, 1);
   operations.add(opIncr);
 }
 table.batch(operations, null);
}

// -- code2 --
HBaseAdmin admin = new HBaseAdmin(CONF);
byte[] rowKey = new byte[1];
for (byte c1 = (byte)'A'; c1<=(byte)'Z'; c1++) {
 try { Thread.sleep(2000L); } catch (InterruptedException iex) {}
 rowKey[0] = c1;
 admin.split(TABLE_NAME, rowKey);
}
/////

Using table.increment() instead of table.batch() works fine. But that change gets slower . 



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