Hi Aaron,

How many regions are there in the LINEITEM table? The fact that you
needed to bump the
hbase.mapreduce.bulkload.max.hfiles.perRegion.perFamily setting up to
48 suggests that the amount of data going into a single region of that
table is probably pretty large.

Along the same line, I believe regions are the initial unit of
parallelism (in the absence of statistics[1]) the when running
aggregate queries in Phoenix. This means that if you have oversized
regions, you will have poor parallelism when running aggregate
queries, which could lead to RPC timeouts.

>From what I see in the log info that you provided, your count query
started at 14:14:06, and errored out at 14:34:15, which appears to be
in line with the 20 minute HBase RPC timeout. This appears to indicate
that a scan over a single region is taking more than 20 minutes, which
again looks to me to be an indicator of an oversized region. If
possible, I would look into splitting up your LINEITEM table into more
(smaller) regions, which should improve both import and query
performance.

- Gabriel

1. http://phoenix.apache.org/update_statistics.html

On Thu, Aug 18, 2016 at 5:22 PM, Aaron Molitor
<amoli...@splicemachine.com> wrote:
> Gabriel,
>
> Thanks for the help, it's good to know that those params can be passed from 
> the command line and that the order is important.
>
> I am trying to load the 100GB TPC-H data set and ultimately run the TPC-H 
> queries.  All of the tables loaded relatively easily except LINEITEM (the 
> largest) required me to increase the 
> hbase.mapreduce.bulkload.max.hfiles.perRegion.perFamily to 48.  After that 
> the file loaded.
>
> This brings me to my next question though.  What settings do I need to change 
> in order to count the [LINEITEM] table? At this point I have changed:
> - hbase.rpc.timeout set to 20 min
> - phoenix.query.timeoutMs set to 60 min
>
> I am still getting an error, it appears to be an RPC timeout, as I have 
> mentioned I have already moved to an uncomfortably high setting.  Is there 
> some other settings I should be moving and not necessarily the rpc.timeout?
>
> For reference, here's the full sqlline interaction, including the error:
> ################################################################################
> Latest phoenix error:
> splice@stl-colo-srv073 ~]$ /opt/phoenix/default/bin/sqlline.py 
> $(hostname):2181:/hbase-unsecure
> Setting property: [incremental, false]
> Setting property: [isolation, TRANSACTION_READ_COMMITTED]
> issuing: !connect 
> jdbc:phoenix:stl-colo-srv073.splicemachine.colo:2181:/hbase-unsecure none 
> none org.apache.phoenix.jdbc.PhoenixDriver
> Connecting to 
> jdbc:phoenix:stl-colo-srv073.splicemachine.colo:2181:/hbase-unsecure
> SLF4J: Class path contains multiple SLF4J bindings.
> SLF4J: Found binding in 
> [jar:file:/opt/phoenix/apache-phoenix-4.8.0-HBase-1.1-bin/phoenix-4.8.0-HBase-1.1-client.jar!/org/slf4j/impl/StaticLoggerBinder.class]
> SLF4J: Found binding in 
> [jar:file:/usr/hdp/2.4.2.0-258/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an 
> explanation.
> 16/08/18 14:14:06 WARN util.NativeCodeLoader: Unable to load native-hadoop 
> library for your platform... using builtin-java classes where applicable
> 16/08/18 14:14:08 WARN shortcircuit.DomainSocketFactory: The short-circuit 
> local reads feature cannot be used because libhadoop cannot be loaded.
> Connected to: Phoenix (version 4.8)
> Driver: PhoenixEmbeddedDriver (version 4.8)
> Autocommit status: true
> Transaction isolation: TRANSACTION_READ_COMMITTED
> Building list of tables and columns for tab-completion (set fastconnect to 
> true to skip)...
> 147/147 (100%) Done
> Done
> sqlline version 1.1.9
> 0: jdbc:phoenix:stl-colo-srv073.splicemachine> select count(*) from 
> TPCH.LINEITEM;
> Error: org.apache.phoenix.exception.PhoenixIOException: Failed after 
> attempts=36, exceptions:
> Thu Aug 18 14:34:15 UTC 2016, null, java.net.SocketTimeoutException: 
> callTimeout=60000, callDuration=1200310: row '' on table 'TPCH.LINEITEM' at 
> region=TPCH.LINEITEM,,1471407572920.656deb38db6555b3eaea71944fdfdbc9., 
> hostname=stl-colo-srv076.splicemachine.colo,16020,1471495858713, seqNum=17 
> (state=08000,code=101)
> org.apache.phoenix.exception.PhoenixIOException: 
> org.apache.phoenix.exception.PhoenixIOException: Failed after attempts=36, 
> exceptions:
> Thu Aug 18 14:34:15 UTC 2016, null, java.net.SocketTimeoutException: 
> callTimeout=60000, callDuration=1200310: row '' on table 'TPCH.LINEITEM' at 
> region=TPCH.LINEITEM,,1471407572920.656deb38db6555b3eaea71944fdfdbc9., 
> hostname=stl-colo-srv076.splicemachine.colo,16020,1471495858713, seqNum=17
>
>         at 
> org.apache.phoenix.util.ServerUtil.parseServerException(ServerUtil.java:111)
>         at 
> org.apache.phoenix.iterate.BaseResultIterators.getIterators(BaseResultIterators.java:774)
>         at 
> org.apache.phoenix.iterate.BaseResultIterators.getIterators(BaseResultIterators.java:720)
>         at 
> org.apache.phoenix.iterate.ConcatResultIterator.getIterators(ConcatResultIterator.java:50)
>         at 
> org.apache.phoenix.iterate.ConcatResultIterator.currentIterator(ConcatResultIterator.java:97)
>         at 
> org.apache.phoenix.iterate.ConcatResultIterator.next(ConcatResultIterator.java:117)
>         at 
> org.apache.phoenix.iterate.BaseGroupedAggregatingResultIterator.next(BaseGroupedAggregatingResultIterator.java:64)
>         at 
> org.apache.phoenix.iterate.UngroupedAggregatingResultIterator.next(UngroupedAggregatingResultIterator.java:39)
>         at 
> org.apache.phoenix.jdbc.PhoenixResultSet.next(PhoenixResultSet.java:778)
>         at sqlline.BufferedRows.<init>(BufferedRows.java:37)
>         at sqlline.SqlLine.print(SqlLine.java:1649)
>         at sqlline.Commands.execute(Commands.java:833)
>         at sqlline.Commands.sql(Commands.java:732)
>         at sqlline.SqlLine.dispatch(SqlLine.java:807)
>         at sqlline.SqlLine.begin(SqlLine.java:681)
>         at sqlline.SqlLine.start(SqlLine.java:398)
>         at sqlline.SqlLine.main(SqlLine.java:292)
> Caused by: java.util.concurrent.ExecutionException: 
> org.apache.phoenix.exception.PhoenixIOException: Failed after attempts=36, 
> exceptions:
> Thu Aug 18 14:34:15 UTC 2016, null, java.net.SocketTimeoutException: 
> callTimeout=60000, callDuration=1200310: row '' on table 'TPCH.LINEITEM' at 
> region=TPCH.LINEITEM,,1471407572920.656deb38db6555b3eaea71944fdfdbc9., 
> hostname=stl-colo-srv076.splicemachine.colo,16020,1471495858713, seqNum=17
>
>         at java.util.concurrent.FutureTask.report(FutureTask.java:122)
>         at java.util.concurrent.FutureTask.get(FutureTask.java:202)
>         at 
> org.apache.phoenix.iterate.BaseResultIterators.getIterators(BaseResultIterators.java:769)
>         ... 15 more
> Caused by: org.apache.phoenix.exception.PhoenixIOException: Failed after 
> attempts=36, exceptions:
> Thu Aug 18 14:34:15 UTC 2016, null, java.net.SocketTimeoutException: 
> callTimeout=60000, callDuration=1200310: row '' on table 'TPCH.LINEITEM' at 
> region=TPCH.LINEITEM,,1471407572920.656deb38db6555b3eaea71944fdfdbc9., 
> hostname=stl-colo-srv076.splicemachine.colo,16020,1471495858713, seqNum=17
>
>         at 
> org.apache.phoenix.util.ServerUtil.parseServerException(ServerUtil.java:111)
>         at 
> org.apache.phoenix.iterate.TableResultIterator.initScanner(TableResultIterator.java:174)
>         at 
> org.apache.phoenix.iterate.TableResultIterator.next(TableResultIterator.java:124)
>         at 
> org.apache.phoenix.iterate.SpoolingResultIterator.<init>(SpoolingResultIterator.java:139)
>         at 
> org.apache.phoenix.iterate.SpoolingResultIterator.<init>(SpoolingResultIterator.java:97)
>         at 
> org.apache.phoenix.iterate.SpoolingResultIterator.<init>(SpoolingResultIterator.java:69)
>         at 
> org.apache.phoenix.iterate.SpoolingResultIterator$SpoolingResultIteratorFactory.newIterator(SpoolingResultIterator.java:92)
>         at 
> org.apache.phoenix.iterate.ParallelIterators$1.call(ParallelIterators.java:114)
>         at 
> org.apache.phoenix.iterate.ParallelIterators$1.call(ParallelIterators.java:106)
>         at java.util.concurrent.FutureTask.run(FutureTask.java:262)
>         at 
> org.apache.phoenix.job.JobManager$InstrumentedJobFutureTask.run(JobManager.java:183)
>         at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.hadoop.hbase.client.RetriesExhaustedException: Failed 
> after attempts=36, exceptions:
> Thu Aug 18 14:34:15 UTC 2016, null, java.net.SocketTimeoutException: 
> callTimeout=60000, callDuration=1200310: row '' on table 'TPCH.LINEITEM' at 
> region=TPCH.LINEITEM,,1471407572920.656deb38db6555b3eaea71944fdfdbc9., 
> hostname=stl-colo-srv076.splicemachine.colo,16020,1471495858713, seqNum=17
>
>         at 
> org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.throwEnrichedException(RpcRetryingCallerWithReadReplicas.java:271)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:199)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:59)
>         at 
> org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:200)
>         at 
> org.apache.hadoop.hbase.client.ClientScanner.call(ClientScanner.java:320)
>         at 
> org.apache.hadoop.hbase.client.ClientScanner.nextScanner(ClientScanner.java:295)
>         at 
> org.apache.hadoop.hbase.client.ClientScanner.initializeScannerInConstruction(ClientScanner.java:160)
>         at 
> org.apache.hadoop.hbase.client.ClientScanner.<init>(ClientScanner.java:155)
>         at org.apache.hadoop.hbase.client.HTable.getScanner(HTable.java:821)
>         at 
> org.apache.phoenix.iterate.TableResultIterator.initScanner(TableResultIterator.java:170)
>         ... 12 more
> Caused by: java.net.SocketTimeoutException: callTimeout=60000, 
> callDuration=1200310: row '' on table 'TPCH.LINEITEM' at 
> region=TPCH.LINEITEM,,1471407572920.656deb38db6555b3eaea71944fdfdbc9., 
> hostname=stl-colo-srv076.splicemachine.colo,16020,1471495858713, seqNum=17
>         at 
> org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:159)
>         at 
> org.apache.hadoop.hbase.client.ResultBoundedCompletionService$QueueingFuture.run(ResultBoundedCompletionService.java:64)
>         ... 3 more
> Caused by: java.io.IOException: Call to 
> stl-colo-srv076.splicemachine.colo/10.1.1.176:16020 failed on local 
> exception: org.apache.hadoop.hbase.ipc.CallTimeoutException: Call id=27, 
> waitTime=1200001, operationTimeout=1200000 expired.
>         at 
> org.apache.hadoop.hbase.ipc.AbstractRpcClient.wrapException(AbstractRpcClient.java:278)
>         at 
> org.apache.hadoop.hbase.ipc.RpcClientImpl.call(RpcClientImpl.java:1239)
>         at 
> org.apache.hadoop.hbase.ipc.AbstractRpcClient.callBlockingMethod(AbstractRpcClient.java:217)
>         at 
> org.apache.hadoop.hbase.ipc.AbstractRpcClient$BlockingRpcChannelImplementation.callBlockingMethod(AbstractRpcClient.java:318)
>         at 
> org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ClientService$BlockingStub.scan(ClientProtos.java:32831)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallable.openScanner(ScannerCallable.java:373)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallable.call(ScannerCallable.java:200)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallable.call(ScannerCallable.java:62)
>         at 
> org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:200)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallableWithReplicas$RetryingRPC.call(ScannerCallableWithReplicas.java:350)
>         at 
> org.apache.hadoop.hbase.client.ScannerCallableWithReplicas$RetryingRPC.call(ScannerCallableWithReplicas.java:324)
>         at 
> org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:126)
>         ... 4 more
> Caused by: org.apache.hadoop.hbase.ipc.CallTimeoutException: Call id=27, 
> waitTime=1200001, operationTimeout=1200000 expired.
>         at org.apache.hadoop.hbase.ipc.Call.checkAndSetTimeout(Call.java:70)
>         at 
> org.apache.hadoop.hbase.ipc.RpcClientImpl.call(RpcClientImpl.java:1213)
>         ... 14 more
> 0: jdbc:phoenix:stl-colo-srv073.splicemachine>
> ################################################################################
>
>> On Aug 18, 2016, at 02:15, Gabriel Reid <gabriel.r...@gmail.com> wrote:
>>
>> Hi Aaron,
>>
>> I'll answered your questions directly first, but please see the bottom
>> part of this mail for important additional details.
>>
>> You can specify the
>> "hbase.mapreduce.bulkload.max.hfiles.perRegion.perFamily" parameter
>> (referenced from your StackOverflow link) on the command line of you
>> CsvBulkLoadTool command -- my understanding is that this is a purely
>> client-side parameter. You would provide it via -D as follows:
>>
>>    hadoop jar phoenix-<version>-client.jar
>> org.apache.phoenix.mapreduce.CsvBulkLoadTool
>> -Dhbase.mapreduce.bulkload.max.hfiles.perRegion.perFamily=64 <other
>> command-line parameters>
>>
>> The important point in the above example is that config-based
>> parameters specified with -D are given before the application-level
>> parameters, and after the class name to be run.
>>
>> From my read of the HBase code, in this context you can also specify
>> the "hbase.hregion.max.filesize" parameter in the same way (in this
>> context it's a client-side parameter).
>>
>> As far as speeding things up, the main points to consider are:
>> - ensure that compression is enabled for map-reduce jobs on your
>> cluster -- particularly map-output (intermediate) compression - see
>> https://datameer.zendesk.com/hc/en-us/articles/204258750-How-to-Use-Intermediate-and-Final-Output-Compression-MR1-YARN-
>> for a good overview
>> - check the ratio of map output records vs spilled records in the
>> counters on the import job. If the spilled records are higher than map
>> output records (e.g. twice as high or three times as high), then you
>> will probably benefit from raising the mapreduce.task.io.sort.mb
>> setting (see 
>> https://hadoop.apache.org/docs/r2.7.1/hadoop-mapreduce-client/hadoop-mapreduce-client-core/mapred-default.xml)
>>
>> Now those are the answers to your questions, but I'm curious about why
>> you're getting more than 32 HFiles in a single column family of a
>> single region. I assume that this means that you're loading large
>> amounts of data into a small number of regions. This is probably not a
>> good thing -- it may impact performance of HBase in general (because
>> each region has such a large amount of data), and will also have a
>> very negative impact on the running time of your import job (because
>> part of the parallelism of the import job is determined by the number
>> of regions being written to). I don't think you mentioned how many
>> regions you have on your table that you're importing to, but
>> increasing the number of regions will likely resolve several problems
>> for you. Another reason to do this is the fact that HBase will likely
>> start splitting your regions after this import due to their size.
>>
>> - Gabriel
>>
>>
>> On Thu, Aug 18, 2016 at 3:47 AM, Aaron Molitor
>> <amoli...@splicemachine.com> wrote:
>>> Hi all I'm running the CsvBulkLoadTool trying to pull in some data.  The 
>>> MapReduce Job appears to complete, and gives some promising information:
>>>
>>>
>>> ################################################################################
>>>        Phoenix MapReduce Import
>>>                Upserts Done=600037902
>>>        Shuffle Errors
>>>                BAD_ID=0
>>>                CONNECTION=0
>>>                IO_ERROR=0
>>>                WRONG_LENGTH=0
>>>                WRONG_MAP=0
>>>                WRONG_REDUCE=0
>>>        File Input Format Counters
>>>                Bytes Read=79657289180
>>>        File Output Format Counters
>>>                Bytes Written=176007436620
>>> 16/08/17 20:37:04 INFO mapreduce.AbstractBulkLoadTool: Loading HFiles from 
>>> /tmp/66f905f4-3d62-45bf-85fe-c247f518355c
>>> 16/08/17 20:37:04 INFO zookeeper.RecoverableZooKeeper: Process 
>>> identifier=hconnection-0xa24982f connecting to ZooKeeper 
>>> ensemble=stl-colo-srv073.splicemachine.colo:2181
>>> 16/08/17 20:37:04 INFO zookeeper.ZooKeeper: Initiating client connection, 
>>> connectString=stl-colo-srv073.splicemachine.colo:2181 
>>> sessionTimeout=1200000 watcher=hconnection-0xa24982f0x0, 
>>> quorum=stl-colo-srv073.splicemachine.colo:2181, baseZNode=/hbase-unsecure
>>> 16/08/17 20:37:04 INFO zookeeper.ClientCnxn: Opening socket connection to 
>>> server stl-colo-srv073.splicemachine.colo/10.1.1.173:2181. Will not attempt 
>>> to authenticate using SASL (unknown error)
>>> 16/08/17 20:37:04 INFO zookeeper.ClientCnxn: Socket connection established 
>>> to stl-colo-srv073.splicemachine.colo/10.1.1.173:2181, initiating session
>>> 16/08/17 20:37:04 INFO zookeeper.ClientCnxn: Session establishment complete 
>>> on server stl-colo-srv073.splicemachine.colo/10.1.1.173:2181, sessionid = 
>>> 0x15696476bf90484, negotiated timeout = 40000
>>> 16/08/17 20:37:04 INFO mapreduce.AbstractBulkLoadTool: Loading HFiles for 
>>> TPCH.LINEITEM from /tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM
>>> 16/08/17 20:37:04 WARN mapreduce.LoadIncrementalHFiles: managed connection 
>>> cannot be used for bulkload. Creating unmanaged connection.
>>> 16/08/17 20:37:04 INFO zookeeper.RecoverableZooKeeper: Process 
>>> identifier=hconnection-0x456a0752 connecting to ZooKeeper 
>>> ensemble=stl-colo-srv073.splicemachine.colo:2181
>>> 16/08/17 20:37:04 INFO zookeeper.ZooKeeper: Initiating client connection, 
>>> connectString=stl-colo-srv073.splicemachine.colo:2181 
>>> sessionTimeout=1200000 watcher=hconnection-0x456a07520x0, 
>>> quorum=stl-colo-srv073.splicemachine.colo:2181, baseZNode=/hbase-unsecure
>>> 16/08/17 20:37:04 INFO zookeeper.ClientCnxn: Opening socket connection to 
>>> server stl-colo-srv073.splicemachine.colo/10.1.1.173:2181. Will not attempt 
>>> to authenticate using SASL (unknown error)
>>> 16/08/17 20:37:04 INFO zookeeper.ClientCnxn: Socket connection established 
>>> to stl-colo-srv073.splicemachine.colo/10.1.1.173:2181, initiating session
>>> 16/08/17 20:37:04 INFO zookeeper.ClientCnxn: Session establishment complete 
>>> on server stl-colo-srv073.splicemachine.colo/10.1.1.173:2181, sessionid = 
>>> 0x15696476bf90485, negotiated timeout = 40000
>>> 16/08/17 20:37:06 INFO hfile.CacheConfig: CacheConfig:disabled
>>> ################################################################################
>>>
>>> and eventually errors out with this exception.
>>>
>>> ################################################################################
>>> 16/08/17 20:37:07 INFO mapreduce.LoadIncrementalHFiles: Trying to load 
>>> hfile=hdfs://stl-colo-srv073.splicemachine.colo:8020/tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM/0/88b40cbbc4c841f99eae906af3b93cda
>>>  first=\x80\x00\x00\x00\x08\xB3\xE7\x84\x80\x00\x00\x04 
>>> last=\x80\x00\x00\x00\x09\x92\xAEg\x80\x00\x00\x03
>>> 16/08/17 20:37:07 INFO mapreduce.LoadIncrementalHFiles: Trying to load 
>>> hfile=hdfs://stl-colo-srv073.splicemachine.colo:8020/tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM/0/de309e5c7b3841a6b4fd299ac8fa8728
>>>  first=\x80\x00\x00\x00\x15\xC1\x8Ee\x80\x00\x00\x01 
>>> last=\x80\x00\x00\x00\x16\xA0G\xA4\x80\x00\x00\x02
>>> 16/08/17 20:37:07 INFO mapreduce.LoadIncrementalHFiles: Trying to load 
>>> hfile=hdfs://stl-colo-srv073.splicemachine.colo:8020/tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM/0/e7ed8bc150c9494b8c064a022b3609e0
>>>  first=\x80\x00\x00\x00\x09\x92\xAEg\x80\x00\x00\x04 
>>> last=\x80\x00\x00\x00\x0Aq\x85D\x80\x00\x00\x02
>>> 16/08/17 20:37:07 INFO mapreduce.LoadIncrementalHFiles: Trying to load 
>>> hfile=hdfs://stl-colo-srv073.splicemachine.colo:8020/tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM/0/c35e01b66d85450c97da9bb21bfc650f
>>>  first=\x80\x00\x00\x00\x0F\xA9\xFED\x80\x00\x00\x04 
>>> last=\x80\x00\x00\x00\x10\x88\xD0$\x80\x00\x00\x03
>>> 16/08/17 20:37:07 INFO mapreduce.LoadIncrementalHFiles: Trying to load 
>>> hfile=hdfs://stl-colo-srv073.splicemachine.colo:8020/tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM/0/b5904451d27d42f0bcb4c98a5b14f3e9
>>>  first=\x80\x00\x00\x00\x13%/\x83\x80\x00\x00\x01 
>>> last=\x80\x00\x00\x00\x14\x04\x08$\x80\x00\x00\x01
>>> 16/08/17 20:37:07 INFO mapreduce.LoadIncrementalHFiles: Trying to load 
>>> hfile=hdfs://stl-colo-srv073.splicemachine.colo:8020/tmp/66f905f4-3d62-45bf-85fe-c247f518355c/TPCH.LINEITEM/0/9d26e9a00e5149cabcb415c6bb429a34
>>>  first=\x80\x00\x00\x00\x06\xF6_\xE3\x80\x00\x00\x04 
>>> last=\x80\x00\x00\x00\x07\xD5 f\x80\x00\x00\x05
>>> 16/08/17 20:37:07 ERROR mapreduce.LoadIncrementalHFiles: Trying to load 
>>> more than 32 hfiles to family 0 of region with start key
>>> 16/08/17 20:37:07 INFO client.ConnectionManager$HConnectionImplementation: 
>>> Closing master protocol: MasterService
>>> 16/08/17 20:37:07 INFO client.ConnectionManager$HConnectionImplementation: 
>>> Closing zookeeper sessionid=0x15696476bf90485
>>> 16/08/17 20:37:07 INFO zookeeper.ZooKeeper: Session: 0x15696476bf90485 
>>> closed
>>> 16/08/17 20:37:07 INFO zookeeper.ClientCnxn: EventThread shut down
>>> Exception in thread "main" java.io.IOException: Trying to load more than 32 
>>> hfiles to one family of one region
>>>        at 
>>> org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles.doBulkLoad(LoadIncrementalHFiles.java:420)
>>>        at 
>>> org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles.doBulkLoad(LoadIncrementalHFiles.java:314)
>>>        at 
>>> org.apache.phoenix.mapreduce.AbstractBulkLoadTool.completebulkload(AbstractBulkLoadTool.java:355)
>>>        at 
>>> org.apache.phoenix.mapreduce.AbstractBulkLoadTool.submitJob(AbstractBulkLoadTool.java:332)
>>>        at 
>>> org.apache.phoenix.mapreduce.AbstractBulkLoadTool.loadData(AbstractBulkLoadTool.java:270)
>>>        at 
>>> org.apache.phoenix.mapreduce.AbstractBulkLoadTool.run(AbstractBulkLoadTool.java:183)
>>>        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
>>>        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:90)
>>>        at 
>>> org.apache.phoenix.mapreduce.CsvBulkLoadTool.main(CsvBulkLoadTool.java:101)
>>>        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>>        at 
>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>>>        at 
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>>        at java.lang.reflect.Method.invoke(Method.java:606)
>>>        at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
>>>        at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
>>> ################################################################################
>>>
>>> a count of the table showa 0 rows:
>>> 0: jdbc:phoenix:srv073> select count(*) from TPCH.LINEITEM;
>>> +-----------+
>>> | COUNT(1)  |
>>> +-----------+
>>> | 0         |
>>> +-----------+
>>>
>>> Some quick googling gives an hbase param that could be tweaked 
>>> (http://stackoverflow.com/questions/24950393/trying-to-load-more-than-32-hfiles-to-one-family-of-one-region).
>>>
>>> Main Questions:
>>> - Will the CsvBulkLoadTool pick up these params, or will I need to put them 
>>> in hbase-site.xml?
>>> - Is there anything else I can tune to make this run quicker? It took 5 
>>> hours for it to fail with the error above.
>>>
>>> This is a 9 node (8 RegionServer) cluster running HDP 2.4.2 and Phoenix 
>>> 4.8.0-HBase-1.1
>>> Ambari default settings except for:
>>> - HBase RS heap size is set to 24GB
>>> - hbase.rpc.timeout set to 20 min
>>> - phoenix.query.timeoutMs set to 60 min
>>>
>>> all nodes are Dell R420 with 2xE5-2430 v2 CPUs (24vCPU), 64GB RAM
>>>
>>>
>>>
>>>
>

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