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https://issues.apache.org/jira/browse/SPARK-17172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-17172.
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Resolution: Duplicate
That sounds like exactly the same issue. You're missing /tmp or can't see it
because of permissions issue. Both sound like an environment problem, because
this dir exists and is world-writable after setting up any HDFS namenode. At
the least, let's merge into your other issue.
> pyspak hiveContext can not create UDF: Py4JJavaError: An error occurred while
> calling None.org.apache.spark.sql.hive.HiveContext.
> ----------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-17172
> URL: https://issues.apache.org/jira/browse/SPARK-17172
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.2
> Environment: spark version: 1.6.2
> python version: 3.4.2 (v3.4.2:ab2c023a9432, Oct 5 2014, 20:42:22)
> [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]
> Reporter: Andrew Davidson
> Attachments: hiveUDFBug.html, hiveUDFBug.ipynb
>
>
> from pyspark.sql import HiveContext
> sqlContext = HiveContext(sc)
> # Define udf
> from pyspark.sql.functions import udf
> def scoreToCategory(score):
> if score >= 80: return 'A'
> elif score >= 60: return 'B'
> elif score >= 35: return 'C'
> else: return 'D'
>
> udfScoreToCategory=udf(scoreToCategory, StringType())
> throws exception
> Py4JJavaError: An error occurred while calling
> None.org.apache.spark.sql.hive.HiveContext.
> : java.lang.RuntimeException: java.lang.RuntimeException: Unable to
> instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
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