Hi,
I try to combine a datacollector and a transformer pipeline (due to the missing parquet s3 support in datacollector). I read data from a Postgres db and publish it to Kafka using the datacollector. I have a Kafka connection that I want to use for both pipelines. Pushing Data to Kafka works but when I run the transfom pipeline (using the same connection) I get the following error:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, 53f742dd118a, executor driver): java.lang.NoSuchMethodError: ‘void org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool$PoolConfig.setEvictionPolicy(org.apache.commons.pool2.impl.EvictionPolicy)' at org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool$PoolConfig.init(InternalKafkaConsumerPool.scala:191) at org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool$PoolConfig.<init>(InternalKafkaConsumerPool.scala:162) at org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool.<init>(InternalKafkaConsumerPool.scala:53) at org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer$.<init>(KafkaDataConsumer.scala:606) at org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer$.<clinit>(KafkaDataConsumer.scala) at org.apache.spark.sql.kafka010.KafkaSourceRDD.compute(KafkaSourceRDD.scala:72) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.sql.execution.SQLExecutionRDD.compute(SQLExecutionRDD.scala:55) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:834)Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:467) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47) at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3627) at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2697) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616) at org.apache.spark.sql.Dataset.head(Dataset.scala:2697) at com.streamsets.dataformat.spark.json.JsonParserGenerator$.parse(JsonParserGenerator.scala:25) at com.streamsets.pipeline.spark.origin.kafka.KafkaOrigin.generate(KafkaOrigin.scala:150) at com.streamsets.datatransformer.api.operator.Origin.lambda$getOrCreate$0(Origin.java:17) at com.streamsets.datatransformer.api.operator.Operator.generateDF(Operator.java:95) at com.streamsets.datatransformer.api.operator.Operator.lambda$getOrCreate$0(Operator.java:89) at java.base/java.util.Optional.orElseGet(Optional.java:369) at com.streamsets.datatransformer.api.operator.Operator.getOrCreate(Operator.java:89) at com.streamsets.datatransformer.api.operator.Origin.getOrCreate(Origin.java:15) at com.streamsets.datatransformer.api.spark.SparkOrigin.getOrCreate(SparkOrigin.java:27) at com.streamsets.datatransformer.dag.BaseBatchDAGRunner.$anonfun$generateDataRefs$2(BaseBatchDAGRunner.scala:608) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at com.streamsets.datatransformer.dag.BaseBatchDAGRunner.$anonfun$generateDataRefs$1(BaseBatchDAGRunner.scala:602) at scala.collection.mutable.LinkedHashMap.foreach(LinkedHashMap.scala:143) at com.streamsets.datatransformer.dag.BaseBatchDAGRunner.generateDataRefs(BaseBatchDAGRunner.scala:597) at com.streamsets.datatransformer.dag.BaseBatchDAGRunner.run(BaseBatchDAGRunner.scala:552) at com.streamsets.pipeline.spark.dag.SparkBatchDAGRunner.run(SparkBatchDAGRunner.scala:83) at com.streamsets.pipeline.spark.dag.SparkBatchDAGRunner.run(SparkBatchDAGRunner.scala:43) at com.streamsets.datatransformer.dag.runner.DataTransformerRunner.startDataTransformerDagRunner(DataTransformerRunner.java:483) at com.streamsets.datatransformer.dag.runner.DataTransformerRunner.start(DataTransformerRunner.java:262) at com.streamsets.datacollector.execution.runner.common.AsyncRunner.lambda$start$3(AsyncRunner.java:150) at com.streamsets.pipeline.lib.executor.SafeScheduledExecutorService$SafeCallable.lambda$call$0(SafeScheduledExecutorService.java:214) at com.streamsets.datacollector.security.GroupsInScope.execute(GroupsInScope.java:43) at com.streamsets.datacollector.security.GroupsInScope.execute(GroupsInScope.java:24) at com.streamsets.pipeline.lib.executor.SafeScheduledExecutorService$SafeCallable.call(SafeScheduledExecutorService.java:210) at com.streamsets.pipeline.lib.executor.SafeScheduledExecutorService$SafeCallable.lambda$call$0(SafeScheduledExecutorService.java:214) at com.streamsets.datacollector.security.GroupsInScope.execute(GroupsInScope.java:43) at com.streamsets.datacollector.security.GroupsInScope.execute(GroupsInScope.java:24) at com.streamsets.pipeline.lib.executor.SafeScheduledExecutorService$SafeCallable.call(SafeScheduledExecutorService.java:210) at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) at java.base/java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:304) at com.streamsets.datacollector.metrics.MetricSafeScheduledExecutorService$MetricsTask.run(MetricSafeScheduledExecutorService.java:88) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:834)Caused by: java.lang.NoSuchMethodError: 'void org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool$PoolConfig.setEvictionPolicy(org.apache.commons.pool2.impl.EvictionPolicy)' at org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool$PoolConfig.init(InternalKafkaConsumerPool.scala:191) at org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool$PoolConfig.<init>(InternalKafkaConsumerPool.scala:162) at org.apache.spark.sql.kafka010.consumer.InternalKafkaConsumerPool.<init>(InternalKafkaConsumerPool.scala:53) at org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer$.<init>(KafkaDataConsumer.scala:606) at org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer$.<clinit>(KafkaDataConsumer.scala) at org.apache.spark.sql.kafka010.KafkaSourceRDD.compute(KafkaSourceRDD.scala:72) 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.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.sql.execution.SQLExecutionRDD.compute(SQLExecutionRDD.scala:55) 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.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.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$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) ... 3 more