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From Aneela Saleem <ane...@platalytics.com>
Subject Re: submitting spark job with kerberized HBase issue
Date Wed, 10 Aug 2016 07:06:37 GMT
Thanks Nkechi,

I added this dependency as an external jar, when i compile the code,
unfortunately i got the following error:

error: object cloudera is not a member of package com
[ERROR] import com.cloudera.spark.hbase.HBaseContext



On Tue, Aug 9, 2016 at 7:51 PM, Nkechi Achara <nkachara@googlemail.com>
wrote:

> hi,
>
> Due to the fact we are not on Hbase 2.00 we are using SparkOnHbase.
>
> Dependency:
> <dependency>
>             <groupId>com.cloudera</groupId>
>             <artifactId>spark-hbase</artifactId>
>             <version>0.0.2-clabs</version>
>         </dependency>
>
> It is quite a small snippet of code. For a general scan using a start and
> stop time as the scan time range.
>
>     val conf = new SparkConf().
>       set("spark.shuffle.consolidateFiles", "true").
>       set("spark.kryo.registrationRequired", "false").
>       set("spark.serializer", "org.apache.spark.serializer.
> KryoSerializer").
>       set("spark.kryoserializer.buffer", "30m").
>       set("spark.shuffle.spill", "true").
>       set("spark.shuffle.memoryFraction", "0.4")
>
>      val sc = new SparkContext(conf)
>
>       val scan = new Scan()
>       scan.addColumn(columnName, "column1")
>       scan.setTimeRange(scanRowStartTs, scanRowStopTs)
>       hc.hbaseRDD(inputTableName,scan,filter)
>
> To run just use the following:
>
> spark-submit --class ClassName --master yarn-client --driver-memory
> 2000M --executor-memory 5G --keytab <location of keytab> --principal
> <location of principal>
>
> That should work in a general way. Obviously you can utilise other scan /
> put / gets etc methods.
>
> Thanks,
>
> Nkechi
>
> On 9 August 2016 at 15:20, Aneela Saleem <aneela@platalytics.com> wrote:
>
> > Thanks Nkechi,
> >
> > Can you please direct me to some code snippet with hbase on spark module?
> > I've been trying that for last few days but did not found a workaround.
> >
> >
> >
> > On Tue, Aug 9, 2016 at 6:13 PM, Nkechi Achara <nkachara@googlemail.com>
> > wrote:
> >
> > > Hey,
> > >
> > > Have you tried hbase on spark module, or the spark-hbase module to
> > connect?
> > > The principal and keytab options should work out of the box for
> > kerberized
> > > access. I can attempt your code if you don't have the ability to use
> > those
> > > modules.
> > >
> > > Thanks
> > > K
> > >
> > > On 9 Aug 2016 2:25 p.m., "Aneela Saleem" <aneela@platalytics.com>
> wrote:
> > >
> > > > Hi all,
> > > >
> > > > I'm trying to connect to Hbase with security enabled using spark
> job. I
> > > > have kinit'd from command line. When i run the following job i.e.,
> > > >
> > > > /usr/local/spark-2/bin/spark-submit --keytab
> > > /etc/hadoop/conf/spark.keytab
> > > > --principal spark/hadoop-master@platalyticsrealm --class
> > > > com.platalytics.example.spark.App --master yarn  --driver-class-path
> > > > /root/hbase-1.2.2/conf /home/vm6/project-1-jar-with-dependencies.jar
> > > >
> > > > I get the error:
> > > >
> > > > 2016-08-07 20:43:57,617 WARN
> > > > [hconnection-0x24b5fa45-metaLookup-shared--pool2-t1]
> > > > ipc.RpcClientImpl: Exception encountered while connecting to the
> > server :
> > > > javax.security.sasl.SaslException: GSS initiate failed [Caused by
> > > > GSSException: No valid credentials provided (Mechanism level: Failed
> to
> > > > find any Kerberos tgt)] 2016-08-07 20:43:57,619 ERROR
> > > > [hconnection-0x24b5fa45-metaLookup-shared--pool2-t1]
> > ipc.RpcClientImpl:
> > > > SASL authentication failed. The most likely cause is missing or
> invalid
> > > > credentials. Consider 'kinit'. javax.security.sasl.SaslException:
> GSS
> > > > initiate failed [Caused by GSSException: No valid credentials
> provided
> > > > (Mechanism level: Failed to find any Kerberos tgt)] at
> > > > com.sun.security.sasl.gsskerb.GssKrb5Client.evaluateChallenge(
> > > > GssKrb5Client.java:212)
> > > > at org.apache.hadoop.hbase.security.HBaseSaslRpcClient.saslConnect(
> > > > HBaseSaslRpcClient.java:179)
> > > > at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.
> > > > setupSaslConnection(RpcClientImpl.java:617)
> > > > at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.
> > > > access$700(RpcClientImpl.java:162) at org.apache.hadoop.hbase.ipc.
> > > > RpcClientImpl$Connection$2.run(RpcClientImpl.java:743)
> > > >
> > > > Following is my code:
> > > >
> > > > System.setProperty("java.security.krb5.conf", "/etc/krb5.conf");
> > > >  System.setProperty("java.security.auth.login.config",
> > > > "/etc/hbase/conf/zk-jaas.conf");
> > > >
> > > >   val hconf = HBaseConfiguration.create()
> > > >   val tableName = "emp"
> > > >   hconf.set("hbase.zookeeper.quorum", "hadoop-master")
> > > >   hconf.set(TableInputFormat.INPUT_TABLE, tableName)
> > > >   hconf.set("hbase.zookeeper.property.clientPort", "2181")
> > > >   hconf.set("hadoop.security.authentication", "kerberos")
> > > >   hconf.set("hbase.security.authentication", "kerberos")
> > > >   hconf.addResource(new Path("/etc/hbase/conf/core-site.xml"))
> > > >   hconf.addResource(new Path("/etc/hbase/conf/hbase-site.xml"))
> > > >   UserGroupInformation.setConfiguration(hconf)
> > > >   val keyTab = "/etc/hadoop/conf/spark.keytab"
> > > >   val ugi = UserGroupInformation.loginUserFromKeytabAndReturnUG
> > > > I("spark/hadoop-master@platalyticsrealm", keyTab)
> > > >   UserGroupInformation.setLoginUser(ugi)
> > > >   ugi.doAs(new PrivilegedExceptionAction[Void]() {
> > > >    override def run(): Void = {
> > > >     val conf = new SparkConf
> > > >     val sc = new SparkContext(conf)
> > > >     sc.addFile(keyTab)
> > > >     var hBaseRDD = sc.newAPIHadoopRDD(hconf,
> classOf[TableInputFormat],
> > > >      classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
> > > >      classOf[org.apache.hadoop.hbase.client.Result])
> > > >     println("Number of Records found : " + hBaseRDD.count())
> > > >     hBaseRDD.foreach(x => {
> > > >      println(new String(x._2.getRow()))
> > > >     })
> > > >     sc.stop()
> > > >     return null
> > > >    }
> > > >   })
> > > >
> > > > Please have a look. And help me try finding the issue.
> > > >
> > > > Thanks
> > > >
> > >
> >
>

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