Reynold and Michael, thank you so much for the quick response.
This problem also happens on branch-1.1, would you mind resolving it on branch-1.1 also? Thanks again! ________________________________ From: Reynold Xin [mailto:r...@databricks.com] Sent: Tuesday, February 17, 2015 3:44 AM To: Michael Armbrust Cc: Haopu Wang; dev@spark.apache.org Subject: Re: HiveContext cannot be serialized I submitted a patch https://github.com/apache/spark/pull/4628 On Mon, Feb 16, 2015 at 10:59 AM, Michael Armbrust <mich...@databricks.com> wrote: I was suggesting you mark the variable that is holding the HiveContext '@transient' since the scala compiler is not correctly propagating this through the tuple extraction. This is only a workaround. We can also remove the tuple extraction. On Mon, Feb 16, 2015 at 10:47 AM, Reynold Xin <r...@databricks.com> wrote: Michael - it is already transient. This should probably considered a bug in the scala compiler, but we can easily work around it by removing the use of destructuring binding. On Mon, Feb 16, 2015 at 10:41 AM, Michael Armbrust <mich...@databricks.com> wrote: I'd suggest marking the HiveContext as @transient since its not valid to use it on the slaves anyway. On Mon, Feb 16, 2015 at 4:27 AM, Haopu Wang <hw...@qilinsoft.com> wrote: > When I'm investigating this issue (in the end of this email), I take a > look at HiveContext's code and find this change > (https://github.com/apache/spark/commit/64945f868443fbc59cb34b34c16d782d > da0fb63d#diff-ff50aea397a607b79df9bec6f2a841db): > > > > - @transient protected[hive] lazy val hiveconf = new > HiveConf(classOf[SessionState]) > > - @transient protected[hive] lazy val sessionState = { > > - val ss = new SessionState(hiveconf) > > - setConf(hiveconf.getAllProperties) // Have SQLConf pick up the > initial set of HiveConf. > > - ss > > - } > > + @transient protected[hive] lazy val (hiveconf, sessionState) = > > + Option(SessionState.get()) > > + .orElse { > > > > With the new change, Scala compiler always generate a Tuple2 field of > HiveContext as below: > > > > private Tuple2 x$3; > > private transient OutputStream outputBuffer; > > private transient HiveConf hiveconf; > > private transient SessionState sessionState; > > private transient HiveMetastoreCatalog catalog; > > > > That "x$3" field's key is HiveConf object that cannot be serialized. So > can you suggest how to resolve this issue? Thank you very much! > > > > ================================ > > > > I have a streaming application which registered temp table on a > HiveContext for each batch duration. > > The application runs well in Spark 1.1.0. But I get below error from > 1.1.1. > > Do you have any suggestions to resolve it? Thank you! > > > > java.io.NotSerializableException: org.apache.hadoop.hive.conf.HiveConf > > - field (class "scala.Tuple2", name: "_1", type: "class > java.lang.Object") > > - object (class "scala.Tuple2", (Configuration: core-default.xml, > core-site.xml, mapred-default.xml, mapred-site.xml, yarn-default.xml, > yarn-site.xml, hdfs-default.xml, hdfs-site.xml, > org.apache.hadoop.hive.conf.LoopingByteArrayInputStream@2158ce23,org.apa > che.hadoop.hive.ql.session.SessionState@49b6eef9)) > > - field (class "org.apache.spark.sql.hive.HiveContext", name: "x$3", > type: "class scala.Tuple2") > > - object (class "org.apache.spark.sql.hive.HiveContext", > org.apache.spark.sql.hive.HiveContext@4e6e66a4) > > - field (class > "example.BaseQueryableDStream$$anonfun$registerTempTable$2", name: > "sqlContext$1", type: "class org.apache.spark.sql.SQLContext") > > - object (class > "example.BaseQueryableDStream$$anonfun$registerTempTable$2", > <function1>) > > - field (class > "org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1", > name: "foreachFunc$1", type: "interface scala.Function1") > > - object (class > "org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1", > <function2>) > > - field (class "org.apache.spark.streaming.dstream.ForEachDStream", > name: "org$apache$spark$streaming$dstream$ForEachDStream$$foreachFunc", > type: "interface scala.Function2") > > - object (class "org.apache.spark.streaming.dstream.ForEachDStream", > org.apache.spark.streaming.dstream.ForEachDStream@5ccbdc20) > > - element of array (index: 0) > > - array (class "[Ljava.lang.Object;", size: 16) > > - field (class "scala.collection.mutable.ArrayBuffer", name: > "array", type: "class [Ljava.lang.Object;") > > - object (class "scala.collection.mutable.ArrayBuffer", > ArrayBuffer(org.apache.spark.streaming.dstream.ForEachDStream@5ccbdc20)) > > - field (class "org.apache.spark.streaming.DStreamGraph", name: > "outputStreams", type: "class scala.collection.mutable.ArrayBuffer") > > - custom writeObject data (class > "org.apache.spark.streaming.DStreamGraph") > > - object (class "org.apache.spark.streaming.DStreamGraph", > org.apache.spark.streaming.DStreamGraph@776ae7da) > > - field (class "org.apache.spark.streaming.Checkpoint", name: > "graph", type: "class org.apache.spark.streaming.DStreamGraph") > > - root object (class "org.apache.spark.streaming.Checkpoint", > org.apache.spark.streaming.Checkpoint@5eade065) > > at java.io.ObjectOutputStream.writeObject0(Unknown Source) > > > > > > > >
