Why are you trying to disable automated compaction?
And then the equally silly question... are you attempting to run full compactions manually?
On Jul 9, 2013, at 11:41 AM, David Koch <[EMAIL PROTECTED]> wrote:
> Thank you for your replies.
> So, as suggested, I tweaked the following settings in Cloudera Manager:
> hbase.hstore.compaction.max - I did not touch, I tried setting it to "0"
> but the minimum is 2
> I can't see any compactions being launched but the job still crashes,
> here's a sample of the logs (*)
> Run out of memory; HRegionServer will abort itself immediately
> java.lang.OutOfMemoryError: Direct buffer memory
> Failed open of
> starting to roll back the global memstore size.
> org.apache.hadoop.hbase.DroppedSnapshotException: region:
> Anyway: http://cdn.memegenerator.net/instances/400x/28234921.jpg
> Should it be that hard to import a reasonable amount of data into a
> default-configured cluster of 10 reasonably powerful machines? If you are
> inclined to help, I'll gladly provide more in-depth information.
> Thank you,
> (*) (I am browsing this from Cloudera Manager since I don't have shell
> access to the nodes)
> On Tue, Jul 9, 2013 at 4:58 PM, Ted Yu <[EMAIL PROTECTED]> wrote:
>> Do you specify startTime and endTime parameters for the CopyTable job ?
>> On Tue, Jul 9, 2013 at 4:38 AM, David Koch <[EMAIL PROTECTED]> wrote:
>>> We disabled automated major compactions by setting
>>> This was to avoid issues during buik import of data since compactions
>>> seemed to cause the running imports to crash. However, even after
>>> disabling, region server logs still show compactions going on, as well as
>>> aborted compactions. We also get compaction queue size warnings in
>>> Why is this the case?
>>> To be fair, we only disabled automated compactions AFTER the import
>>> for the first time (yes, HBase was restarted) so maybe there are some
>>> trailing compactions, but the queue size keeps increasing which I guess
>>> should not be the case. Then again, I don't know how aborted compactions
>>> are counted - i.e not sure whether or not to trust the metrics on this.
>>> A bit more about what I am trying to accomplish:
>>> I am bulk loading about 100 indexed .lzo files with 20 * 10^6 Key-Value
>>> (0.5kb) each into an HBase table. Each file is loaded by a separate
>>> job, several of these jobs run in parallel to make sure all task trackers
>>> are used. Key distribution is the same in each file so even region growth
>>> is to be expected. We did not pre-split the table as it does not seem to
>>> have been a limiting factor earlier.
>>> On a related note. What if any experience do other HBase/Cloudera users
>>> have with the Snapshotting feature detailed below?
>>> We need of a robust way to do inter-cluster cloning/back-up of tables,
>>> preferably without taking the source table offline or impacting
>>> of the source cluster. We only use HDFS files for importing because the
>>> CopyTable job needs to run on the source cluster and cannot be resumed
>>> it fails.