Sure, hive profile is enabled. On Wed, Nov 18, 2015 at 6:12 AM, Josh Rosen <joshro...@databricks.com> wrote:
> Is the Hive profile enabled? I think it may need to be turned on in order > for those JARs to be deployed. > > On Tue, Nov 17, 2015 at 2:27 AM Jeff Zhang <zjf...@gmail.com> wrote: > >> BTW, After I revert SPARK-7841, I can see all the jars under >> lib_managed/jars >> >> On Tue, Nov 17, 2015 at 2:46 PM, Jeff Zhang <zjf...@gmail.com> wrote: >> >>> Hi Josh, >>> >>> I notice the comments in https://github.com/apache/spark/pull/9575 said >>> that Datanucleus related jars will still be copied to lib_managed/jars. >>> But I don't see any jars under lib_managed/jars. The weird thing is that I >>> see the jars on another machine, but could not see jars on my laptop even >>> after I delete the whole spark project and start from scratch. Does it >>> related with environments ? I try to add the following code in >>> SparkBuild.scala to track the issue, it shows that the jars is empty. Any >>> thoughts on that ? >>> >>> >>> deployDatanucleusJars := { >>> val jars: Seq[File] = (fullClasspath in assembly).value.map(_.data) >>> .filter(_.getPath.contains("org.datanucleus")) >>> // this is what I added >>> println("*********************************************") >>> println("fullClasspath:"+fullClasspath) >>> println("assembly:"+assembly) >>> println("jars:"+jars.map(_.getAbsolutePath()).mkString(",")) >>> // >>> >>> >>> On Mon, Nov 16, 2015 at 4:51 PM, Jeff Zhang <zjf...@gmail.com> wrote: >>> >>>> This is the exception I got >>>> >>>> 15/11/16 16:50:48 WARN metastore.HiveMetaStore: Retrying creating >>>> default database after error: Class >>>> org.datanucleus.api.jdo.JDOPersistenceManagerFactory was not found. >>>> javax.jdo.JDOFatalUserException: Class >>>> org.datanucleus.api.jdo.JDOPersistenceManagerFactory was not found. >>>> at >>>> javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1175) >>>> at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:808) >>>> at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:701) >>>> at >>>> org.apache.hadoop.hive.metastore.ObjectStore.getPMF(ObjectStore.java:365) >>>> at >>>> org.apache.hadoop.hive.metastore.ObjectStore.getPersistenceManager(ObjectStore.java:394) >>>> at >>>> org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:291) >>>> at >>>> org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:258) >>>> at >>>> org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:73) >>>> at >>>> org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133) >>>> at >>>> org.apache.hadoop.hive.metastore.RawStoreProxy.<init>(RawStoreProxy.java:57) >>>> at >>>> org.apache.hadoop.hive.metastore.RawStoreProxy.getProxy(RawStoreProxy.java:66) >>>> at >>>> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:593) >>>> at >>>> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.getMS(HiveMetaStore.java:571) >>>> at >>>> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620) >>>> at >>>> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461) >>>> at >>>> org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66) >>>> at >>>> org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72) >>>> at >>>> org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762) >>>> at >>>> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:199) >>>> at >>>> org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74) >>>> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) >>>> at >>>> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) >>>> at >>>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >>>> at java.lang.reflect.Constructor.newInstance(Constructor.java:526) >>>> at >>>> org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1521) >>>> at >>>> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86) >>>> >>>> On Mon, Nov 16, 2015 at 4:47 PM, Jeff Zhang <zjf...@gmail.com> wrote: >>>> >>>>> It's about the datanucleus related jars which is needed by spark sql. >>>>> Without these jars, I could not call data frame related api ( I make >>>>> HiveContext enabled) >>>>> >>>>> >>>>> >>>>> On Mon, Nov 16, 2015 at 4:10 PM, Josh Rosen <joshro...@databricks.com> >>>>> wrote: >>>>> >>>>>> As of https://github.com/apache/spark/pull/9575, Spark's build will >>>>>> no longer place every dependency JAR into lib_managed. Can you say more >>>>>> about how this affected spark-shell for you (maybe share a stacktrace)? >>>>>> >>>>>> On Mon, Nov 16, 2015 at 12:03 AM, Jeff Zhang <zjf...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> >>>>>>> Sometimes, the jars under lib_managed is missing. And after I >>>>>>> rebuild the spark, the jars under lib_managed is still not downloaded. >>>>>>> This >>>>>>> would cause the spark-shell fail due to jars missing. Anyone has hit >>>>>>> this >>>>>>> weird issue ? >>>>>>> >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> Best Regards >>>>>>> >>>>>>> Jeff Zhang >>>>>>> >>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> Best Regards >>>>> >>>>> Jeff Zhang >>>>> >>>> >>>> >>>> >>>> -- >>>> Best Regards >>>> >>>> Jeff Zhang >>>> >>> >>> >>> >>> -- >>> Best Regards >>> >>> Jeff Zhang >>> >> >> >> >> -- >> Best Regards >> >> Jeff Zhang >> > -- Best Regards Jeff Zhang
