Ted,
I did as you said, but it looks like that HBaseContext relies on some
differences in HBase itself.
[ERROR]
/home/bkim/hbase-rel-1.0.2/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/HBaseContext.scala:30:
error: object HFileWriterImpl is not a member of package
org.apache.hadoop.hbase.io.hfile
[ERROR] import org.apache.hadoop.hbase.io.hfile.{CacheConfig,
HFileContextBuilder, HFileWriterImpl}
[ERROR] ^
[ERROR]
/home/bkim/hbase-rel-1.0.2/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/HBaseContext.scala:627:
error: not found: value HFileWriterImpl
[ERROR] val hfileCompression = HFileWriterImpl
[ERROR] ^
[ERROR]
/home/bkim/hbase-rel-1.0.2/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/HBaseContext.scala:750:
error: not found: value HFileWriterImpl
[ERROR] val defaultCompression = HFileWriterImpl
[ERROR] ^
[ERROR]
/home/bkim/hbase-rel-1.0.2/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/HBaseContext.scala:898:
error: value COMPARATOR is not a member of object
org.apache.hadoop.hbase.CellComparator
[ERROR]
.withComparator(CellComparator.COMPARATOR).withFileContext(hFileContext)
So… back to my original question… do you know when these incompatibilities were
introduced? If so, I can pulled that version at time and try again.
Thanks,
Ben
> On Mar 13, 2016, at 12:42 PM, Ted Yu <yuzhih...@gmail.com> wrote:
>
> Benjamin:
> Since hbase-spark is in its own module, you can pull the whole hbase-spark
> subtree into hbase 1.0 root dir and add the following to root pom.xml:
> <module>hbase-spark</module>
>
> Then you would be able to build the module yourself.
>
> hbase-spark module uses APIs which are compatible with hbase 1.0
>
> Cheers
>
> On Sun, Mar 13, 2016 at 11:39 AM, Benjamin Kim <bbuil...@gmail.com
> <mailto:bbuil...@gmail.com>> wrote:
> Hi Ted,
>
> I see that you’re working on the hbase-spark module for hbase. I recently
> packaged the SparkOnHBase project and gave it a test run. It works like a
> charm on CDH 5.4 and 5.5. All I had to do was add
> /opt/cloudera/parcels/CDH/jars/htrace-core-3.1.0-incubating.jar to the
> classpath.txt file in /etc/spark/conf. Then, I ran spark-shell with “—jars
> /path/to/spark-hbase-0.0.2-clabs.jar” as an argument and used the easy-to-use
> HBaseContext for HBase operations. Now, I want to use the latest in
> Dataframes. Since the new functionality is only in the hbase-spark module, I
> want to know how to get it and package it for CDH 5.5, which still uses HBase
> 1.0.0. Can you tell me what version of hbase master is still backwards
> compatible?
>
> By the way, we are using Spark 1.6 if it matters.
>
> Thanks,
> Ben
>
>> On Feb 10, 2016, at 2:34 AM, Ted Yu <yuzhih...@gmail.com
>> <mailto:yuzhih...@gmail.com>> wrote:
>>
>> Have you tried adding hbase client jars to spark.executor.extraClassPath ?
>>
>> Cheers
>>
>> On Wed, Feb 10, 2016 at 12:17 AM, Prabhu Joseph <prabhujose.ga...@gmail.com
>> <mailto:prabhujose.ga...@gmail.com>> wrote:
>> + Spark-Dev
>>
>> For a Spark job on YARN accessing hbase table, added all hbase client jars
>> into spark.yarn.dist.files, NodeManager when launching container i.e
>> executor, does localization and brings all hbase-client jars into executor
>> CWD, but still the executor tasks fail with ClassNotFoundException of hbase
>> client jars, when i checked launch container.sh , Classpath does not have
>> $PWD/* and hence all the hbase client jars are ignored.
>>
>> Is spark.yarn.dist.files not for adding jars into the executor classpath.
>>
>> Thanks,
>> Prabhu Joseph
>>
>> On Tue, Feb 9, 2016 at 1:42 PM, Prabhu Joseph <prabhujose.ga...@gmail.com
>> <mailto:prabhujose.ga...@gmail.com>> wrote:
>> Hi All,
>>
>> When i do count on a Hbase table from Spark Shell which runs as yarn-client
>> mode, the job fails at count().
>>
>> MASTER=yarn-client ./spark-shell
>>
>> import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor,
>> TableName}
>> import org.apache.hadoop.hbase.client.HBaseAdmin
>> import org.apache.hadoop.hbase.mapreduce.TableInputFormat
>>
>> val conf = HBaseConfiguration.create()
>> conf.set(TableInputFormat.INPUT_TABLE,"spark")
>>
>> val hBaseRDD = sc.newAPIHadoopRDD(conf,
>> classOf[TableInputFormat],classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],classOf[org.apache.hadoop.hbase.client.Result])
>> hBaseRDD.count()
>>
>>
>> Tasks throw below exception, the actual exception is swallowed, a bug
>> JDK-7172206. After installing hbase client on all NodeManager machines, the
>> Spark job ran fine. So I confirmed that the issue is with executor classpath.
>>
>> But i am searching for some other way of including hbase jars in spark
>> executor classpath instead of installing hbase client on all NM machines.
>> Tried adding all hbase jars in spark.yarn.dist.files , NM logs shows that it
>> localized all hbase jars, still the job fails. Tried
>> spark.executor.extraClasspath, still the job fails.
>>
>> Is there any way we can access hbase from Executor without installing
>> hbase-client on all machines.
>>
>>
>> 16/02/09 02:34:57 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
>> prabhuFS1): java.lang.IllegalStateException: unread block data
>> at
>> java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2428)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
>> at
>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1997)
>> at
>> java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>> at
>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
>> at
>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:94)
>> at
>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
>> at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>> at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>> at java.lang.Thread.run(Thread.java:745)
>>
>>
>>
>> Thanks,
>> Prabhu Joseph
>>
>>
>
>
