[jira] [Created] (HBASE-25827) Per Cell TTL tags get duplicated with increments causing tags length overflow

["Shashank Thillainathan (Jira)" <ji...@apache.org>]

Shashank Thillainathan created HBASE-25827:
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             Summary: Per Cell TTL tags get duplicated with increments causing tags length overflow
                 Key: HBASE-25827
                 URL: https://issues.apache.org/jira/browse/HBASE-25827
             Project: HBase
          Issue Type: Bug
          Components: regionserver
    Affects Versions: 2.2.6, 2.1.9
            Reporter: Shashank Thillainathan


Incrementing with per cell TTL and flushing corrupts the HFile.

Reproducing the issue:

Incrementing a row and a column with per cell TTL for about 3 thousand times and flushing corrupts the HFile leaving the table unusable.

 
Cause:
On reading the HFile, it is found that duplicate TTL tags get appended for each cell.


Though this case has already been addressed here at [HBASE-18030|https://issues.apache.org/jira/browse/HBASE-18030], corruption still occurs even with this patch.
{code:java}
// java.lang.IllegalStateException: Invalid currTagsLen -31260. Block offset: 250962, block length: 76568, position: 42207 (without header). path=hdfs://hdfs/file/path
        at org.apache.hadoop.hbase.io.hfile.HFileReaderImpl$HFileScannerImpl.checkTagsLen(HFileReaderImpl.java:642)
        at org.apache.hadoop.hbase.io.hfile.HFileReaderImpl$HFileScannerImpl.readKeyValueLen(HFileReaderImpl.java:630)
        at org.apache.hadoop.hbase.io.hfile.HFileReaderImpl$HFileScannerImpl._next(HFileReaderImpl.java:1080)
        at org.apache.hadoop.hbase.io.hfile.HFileReaderImpl$HFileScannerImpl.next(HFileReaderImpl.java:1097)
        at org.apache.hadoop.hbase.regionserver.StoreFileScanner.next(StoreFileScanner.java:208)
        at org.apache.hadoop.hbase.regionserver.KeyValueHeap.next(KeyValueHeap.java:120)
        at org.apache.hadoop.hbase.regionserver.StoreScanner.next(StoreScanner.java:654)
        at org.apache.hadoop.hbase.regionserver.compactions.Compactor.performCompaction(Compactor.java:388)
        at org.apache.hadoop.hbase.regionserver.compactions.Compactor.compact(Compactor.java:327)
        at org.apache.hadoop.hbase.regionserver.compactions.DefaultCompactor.compact(DefaultCompactor.java:65)
        at org.apache.hadoop.hbase.regionserver.DefaultStoreEngine$DefaultCompactionContext.compact(DefaultStoreEngine.java:126)
        at org.apache.hadoop.hbase.regionserver.HStore.compact(HStore.java:1432)
        at org.apache.hadoop.hbase.regionserver.HRegion.compact(HRegion.java:2192)
        at org.apache.hadoop.hbase.regionserver.CompactSplit$CompactionRunner.doCompaction(CompactSplit.java:577)
        at org.apache.hadoop.hbase.regionserver.CompactSplit$CompactionRunner.run(CompactSplit.java:619)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
{code}
 
 
 
 



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