One quick update on this: The NPE is not happening with Spark 1.5.2, so this problem seems specific to Spark 1.6.0.
From: Jay Shipper <shipper_...@bah.com<mailto:shipper_...@bah.com>> Date: Wednesday, February 3, 2016 at 12:06 PM To: "user@spark.apache.org<mailto:user@spark.apache.org>" <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: [External] Re: Spark 1.6.0 HiveContext NPE Right, I could already tell that from the stack trace and looking at Spark’s code. What I’m trying to determine is why that’s coming back as null now, just from upgrading Spark to 1.6.0. From: Ted Yu <yuzhih...@gmail.com<mailto:yuzhih...@gmail.com>> Date: Wednesday, February 3, 2016 at 12:04 PM To: Jay Shipper <shipper_...@bah.com<mailto:shipper_...@bah.com>> Cc: "user@spark.apache.org<mailto:user@spark.apache.org>" <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: [External] Re: Spark 1.6.0 HiveContext NPE Looks like the NPE came from this line: def conf: HiveConf = SessionState.get().getConf Meaning SessionState.get() returned null. On Wed, Feb 3, 2016 at 8:33 AM, Shipper, Jay [USA] <shipper_...@bah.com<mailto:shipper_...@bah.com>> wrote: I’m upgrading an application from Spark 1.4.1 to Spark 1.6.0, and I’m getting a NullPointerException from HiveContext. It’s happening while it tries to load some tables via JDBC from an external database (not Hive), using context.read().jdbc(): — java.lang.NullPointerException at org.apache.spark.sql.hive.client.ClientWrapper.conf(ClientWrapper.scala:205) at org.apache.spark.sql.hive.HiveContext.hiveconf$lzycompute(HiveContext.scala:552) at org.apache.spark.sql.hive.HiveContext.hiveconf(HiveContext.scala:551) at org.apache.spark.sql.hive.HiveContext$$anonfun$configure$1.apply(HiveContext.scala:538) at org.apache.spark.sql.hive.HiveContext$$anonfun$configure$1.apply(HiveContext.scala:537) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.immutable.List.foreach(List.scala:318) at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) at scala.collection.AbstractTraversable.map(Traversable.scala:105) at org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:537) at org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250) at org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237) at org.apache.spark.sql.hive.HiveContext$$anon$2.<init>(HiveContext.scala:457) at org.apache.spark.sql.hive.HiveContext.catalog$lzycompute(HiveContext.scala:457) at org.apache.spark.sql.hive.HiveContext.catalog(HiveContext.scala:456) at org.apache.spark.sql.hive.HiveContext$$anon$3.<init>(HiveContext.scala:473) at org.apache.spark.sql.hive.HiveContext.analyzer$lzycompute(HiveContext.scala:473) at org.apache.spark.sql.hive.HiveContext.analyzer(HiveContext.scala:472) at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34) at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133) at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52) at org.apache.spark.sql.SQLContext.baseRelationToDataFrame(SQLContext.scala:442) at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:223) at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:146) — Even though the application is not using Hive, HiveContext is used instead of SQLContext, for the additional functionality it provides. There’s no hive-site.xml for the application, but this did not cause an issue for Spark 1.4.1. Does anyone have an idea about what’s changed from 1.4.1 to 1.6.0 that could explain this NPE? The only obvious change I’ve noticed for HiveContext is that the default warehouse location is different (1.4.1 - current directory, 1.6.0 - /user/hive/warehouse), but I verified that this NPE happens even when /user/hive/warehouse exists and is readable/writeable for the application. In terms of changes to the application to work with Spark 1.6.0, the only one that might be relevant to this issue is the upgrade in the Hadoop dependencies to match what Spark 1.6.0 uses (2.6.0-cdh5.7.0-SNAPSHOT). Thanks, Jay
