Hey folks,
I am running into scala dependency issue w/ latest master while trying
to run the Quick Start. Can someone help me out on right dependency.
I see that with Udit's latest PR, we have to specify explicit packages for
spark-avro. Tried with spark-avro_2.11:2.4.4.
scala> df.write.format("org.apache.hudi").
| options(getQuickstartWriteConfigs).
| option(PRECOMBINE_FIELD_OPT_KEY, "ts").
| option(RECORDKEY_FIELD_OPT_KEY, "uuid").
| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
| option(TABLE_NAME, tableName).
| mode(Overwrite).
| save(basePath);
java.util.ServiceConfigurationError:
org.apache.spark.sql.sources.DataSourceRegister: Provider
org.apache.spark.sql.avro.AvroFileFormat could not be instantiated
at java.util.ServiceLoader.fail(ServiceLoader.java:232)
at java.util.ServiceLoader.access$100(ServiceLoader.java:185)
at
java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:384)
at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:404)
at java.util.ServiceLoader$1.next(ServiceLoader.java:480)
at
scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:44)
at scala.collection.Iterator.foreach(Iterator.scala:941)
at scala.collection.Iterator.foreach$(Iterator.scala:941)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.filterImpl(TraversableLike.scala:255)
at scala.collection.TraversableLike.filterImpl$(TraversableLike.scala:249)
at scala.collection.AbstractTraversable.filterImpl(Traversable.scala:108)
at scala.collection.TraversableLike.filter(TraversableLike.scala:347)
at scala.collection.TraversableLike.filter$(TraversableLike.scala:347)
at scala.collection.AbstractTraversable.filter(Traversable.scala:108)
at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:644)
at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSourceV2(DataSource.scala:728)
at
org.apache.spark.sql.DataFrameWriter.lookupV2Provider(DataFrameWriter.scala:832)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:252)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:236)
... 66 elided
Caused by: java.lang.NoClassDefFoundError:
org/apache/spark/sql/execution/datasources/FileFormat$class
at
org.apache.spark.sql.avro.AvroFileFormat.<init>(AvroFileFormat.scala:44)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at java.lang.Class.newInstance(Class.java:442)
at
java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:380)
... 86 more
Caused by: java.lang.ClassNotFoundException:
org.apache.spark.sql.execution.datasources.FileFormat$class
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 93 more
So, tried with 2.12.
./bin/spark-shell --packages org.apache.spark:spark-avro_2.12:2.4.4 --conf
'spark.serializer=org.apache.spark.serializer.KryoSerializer' --jars
/Users/sivabala/Documents/personal/projects/siva_hudi/hudi/packaging/hudi-spark-bundle/target/hudi-spark-bundle-0.5.1-SNAPSHOT.jar
scala> df.write.format("org.apache.hudi").
| options(getQuickstartWriteConfigs).
| option(PRECOMBINE_FIELD_OPT_KEY, "ts").
| option(RECORDKEY_FIELD_OPT_KEY, "uuid").
| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
| option(TABLE_NAME, tableName).
| mode(Overwrite).
| save(basePath);
20/01/13 11:42:45 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 2)
java.lang.NoSuchMethodError:
scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
at
org.apache.hudi.AvroConversionHelper$.createConverterToAvro(AvroConversionHelper.scala:341)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:46)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:42)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:837)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:837)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
20/01/13 11:42:46 WARN TaskSetManager: Lost task 0.0 in stage 1.0 (TID 2,
192.168.1.209, executor driver): java.lang.NoSuchMethodError:
scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
at
org.apache.hudi.AvroConversionHelper$.createConverterToAvro(AvroConversionHelper.scala:341)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:46)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:42)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:837)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:837)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
20/01/13 11:42:46 ERROR TaskSetManager: Task 0 in stage 1.0 failed 1 times;
aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage
1.0 (TID 2, 192.168.1.209, executor driver): java.lang.NoSuchMethodError:
scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
at
org.apache.hudi.AvroConversionHelper$.createConverterToAvro(AvroConversionHelper.scala:341)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:46)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:42)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:837)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:837)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:1989)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1977)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1976)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1976)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:956)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:956)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:956)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2206)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2155)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2144)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:758)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2116)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2137)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2156)
at org.apache.spark.rdd.RDD.$anonfun$take$1(RDD.scala:1423)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
at org.apache.spark.rdd.RDD.take(RDD.scala:1396)
at org.apache.spark.rdd.RDD.$anonfun$isEmpty$1(RDD.scala:1531)
at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
at org.apache.spark.rdd.RDD.isEmpty(RDD.scala:1531)
at org.apache.spark.api.java.JavaRDDLike.isEmpty(JavaRDDLike.scala:544)
at org.apache.spark.api.java.JavaRDDLike.isEmpty$(JavaRDDLike.scala:544)
at
org.apache.spark.api.java.AbstractJavaRDDLike.isEmpty(JavaRDDLike.scala:45)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:141)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:91)
at
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:173)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:211)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:208)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:169)
at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:110)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:109)
at
org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:828)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
at
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:828)
at
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:309)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:236)
... 66 elided
Caused by: java.lang.NoSuchMethodError:
scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
at
org.apache.hudi.AvroConversionHelper$.createConverterToAvro(AvroConversionHelper.scala:341)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:46)
at
org.apache.hudi.AvroConversionUtils$$anonfun$2.apply(AvroConversionUtils.scala:42)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:837)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:837)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Just to unblock my work, I reverted my repo to a commit just before Udi'ts
PR(git checkout d9675c4ec0be3f342c30e17a4779c8319b207681) and tried running
the same.
./bin/spark-shell --packages com.databricks:spark-avro_2.11:3.2.0 --conf
'spark.serializer=org.apache.spark.serializer.KryoSerializer' --jars
/Users/sivabala/Documents/personal/projects/siva_hudi/hudi/packaging/hudi-spark-bundle/target/hudi-spark-bundle-0.5.1-SNAPSHOT.jar
// initial imports.
..
..
scala> df.write.format("org.apache.hudi").
| options(getQuickstartWriteConfigs).
| option(PRECOMBINE_FIELD_OPT_KEY, "ts").
| option(RECORDKEY_FIELD_OPT_KEY, "uuid").
| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
| option(TABLE_NAME, tableName).
| mode(Overwrite).
| save(basePath);
java.lang.NoSuchMethodError:
scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
at
org.apache.hudi.com.databricks.spark.avro.SchemaConverters$.convertStructToAvro(SchemaConverters.scala:118)
at
org.apache.hudi.AvroConversionUtils$.convertStructTypeToAvroSchema(AvroConversionUtils.scala:79)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:92)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:91)
at
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:173)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:211)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:208)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:169)
at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:110)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:109)
at
org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:828)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
at
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:828)
at
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:309)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:236)
--
Regards,
-Sivabalan
