Also, to get rid of this problem (once HiveContext(sc) was assigned at
least twice to a variable,
the only fix is - ro restart Zeppelin :-(
--
Ruslan Dautkhanov
On Sun, Nov 27, 2016 at 9:00 AM, Ruslan Dautkhanov <dautkha...@gmail.com>
wrote:
> I found a pattern when this happens.
>
> When I run
> sqlCtx = HiveContext(sc)
>
> it works as expected.
>
> Second and any time after that - gives that exception stack I reported in
> this email chain.
>
> > sqlCtx = HiveContext(sc)
> > sqlCtx.sql('select * from marketview.spend_dim')
>
> You must build Spark with Hive. Export 'SPARK_HIVE=true' and run build/sbt
> assembly
> Traceback (most recent call last):
> File "/tmp/zeppelin_pyspark-6752406810533348793.py", line 267, in <module>
> raise Exception(traceback.format_exc())
> Exception: Traceback (most recent call last):
> File "/tmp/zeppelin_pyspark-6752406810533348793.py", line 265, in <module>
> exec(code)
> File "<stdin>", line 2, in <module>
> File "/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/context.py",
> line 580, in sql
> return DataFrame(self._ssql_ctx.sql(sqlQuery), self)
> File "/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/context.py",
> line 683, in _ssql_ctx
> self._scala_HiveContext = self._get_hive_ctx()
> File "/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/context.py",
> line 692, in _get_hive_ctx
> return self._jvm.HiveContext(self._jsc.sc())
> File
> "/opt/cloudera/parcels/CDH/lib/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py",
> line 1064, in __call__
> answer, self._gateway_client, None, self._fqn)
> File "/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/utils.py",
> line 45, in deco
> return f(*a, **kw)
>
>
> Key piece to reproduce this issue - assign HiveContext(sc) to a variable
> more than once,
> and use that variable between assignments.
>
>
> --
> Ruslan Dautkhanov
>
> On Mon, Nov 21, 2016 at 2:52 PM, Ruslan Dautkhanov <dautkha...@gmail.com>
> wrote:
>
>> Getting
>> You must *build Spark with Hive*. Export 'SPARK_HIVE=true'
>> See full stack [2] below.
>>
>> I'm using Spark 1.6 that comes with CDH 5.8.3.
>> So it's definitely compiled with Hive.
>> We use Jupyter notebooks without problems in the same environment.
>>
>> Using Zeppelin 0.6.2, downloaded as zeppelin-0.6.2-bin-all.tgz from from
>> apache.org
>>
>> Is Zeppelin compiled with Hive too? I guess so.
>> Not sure what else is missing.
>>
>> Tried to play with ZEPPELIN_SPARK_USEHIVECONTEXT but it does not make
>> difference.
>>
>>
>> [1]
>> $ cat zeppelin-env.sh
>> export JAVA_HOME=/usr/java/java7
>> export SPARK_HOME=/opt/cloudera/parcels/CDH/lib/spark
>> export SPARK_SUBMIT_OPTIONS="--principal xxxx --keytab yyy --conf
>> spark.driver.memory=7g --conf spark.executor.cores=2 --conf
>> spark.executor.memory=8g"
>> export SPARK_APP_NAME="Zeppelin notebook"
>> export HADOOP_CONF_DIR=/etc/hadoop/conf
>> export HIVE_CONF_DIR=/etc/hive/conf
>> export HIVE_HOME=/opt/cloudera/parcels/CDH/lib/hive
>> export PYSPARK_PYTHON="/opt/cloudera/parcels/Anaconda/bin/python2"
>> export PYTHONPATH="/opt/cloudera/parcels/CDH/lib/spark/python:/opt/
>> cloudera/parcels/CDH/lib/spark/python/lib/py4j-0.9-src.zip"
>> export MASTER="yarn-client"
>> export ZEPPELIN_SPARK_USEHIVECONTEXT=true
>>
>>
>>
>>
>> [2]
>>
>> You must build Spark with Hive. Export 'SPARK_HIVE=true' and run
>> build/sbt assembly
>> Traceback (most recent call last):
>> File "/tmp/zeppelin_pyspark-9143637669637506477.py", line 267, in
>> <module>
>> raise Exception(traceback.format_exc())
>> Exception: Traceback (most recent call last):
>> File "/tmp/zeppelin_pyspark-9143637669637506477.py", line 265, in
>> <module>
>> exec(code)
>> File "<stdin>", line 9, in <module>
>> File "/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/context.py",
>> line 580, in sql
>>
>> [3]
>> Also have correct symlinks in zeppelin_home/conf for
>> - hive-site.xml
>> - hdfs-site.xml
>> - core-site.xml
>> - yarn-site.xml
>>
>>
>>
>> Thank you,
>> Ruslan Dautkhanov
>>
>
>
