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 >
