barunkumaracharya opened a new issue, #37994: URL: https://github.com/apache/beam/issues/37994
### What happened? Scenario 1: Use Managed Iceberg IO to write some data to Iceberg Tables using Spark Runner. Spark StorageLevel used - MEMORY_ONLY This works perfectly fine. Scenario 2: Use Managed Iceberg IO to write some data to Iceberg Tables using Spark Runner. Spark StorageLevel used - MEMORY_ONLY_SER or MEMORY_AND_DISK. This does not work when run with Spark Runner. I see Null Pointer exception while writing to Iceberg Tables. If i change the sink to a Avro Sink or a file sink, the job works fine but with Managed Iceberg IO, it is failing with null pointer exception. From my analysis, what i could find was, there is a beam tuple tag called "WRITTEN_ROWS_TAG" whose coder, Spark's Java Serializer / Kyro Serializer is not able to find. Although, i did see that when the tag output is being created, a coder is being set to the tag in [WriteUngroupedRowsToFiles.java](https://github.com/apache/beam/blob/master/sdks/java/io/iceberg/src/main/java/org/apache/beam/sdk/io/iceberg/WriteUngroupedRowsToFiles.java) but that coder does not get propagated further, as it is not assigned to CoderMap in line 486 in [TransformTranslator.java](https://github.com/apache/beam/blob/master/runners/spark/src/main/java/org/apache/beam/runners/spark/translation/TransformTranslator.java), and this happens because in the same TransformTranslator in line 472, we skip Output tags which do not have a further consumer in **skipUnconsumedOutputs** function. **IMPACT** - I cannot scale my Spark Job as Managed Iceberg IO only allows MEMORY_ONLY storage level in spark job. For me to be able to process large amount of data, i need to be able to compress data and store it to disk .i.e, i should be able to use MEMORY_AND_DISK and MEMORY_ONLY_SER storage levels, which this bug is not allowing me to do. Requesting support from beam community here. Exception that i see - `**java.lang.NullPointerException at org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable.writeCommon(ValueAndCoderLazySerializable.java:98) at org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable.writeObject(ValueAndCoderLazySerializable.java:134) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:566) at java.base/java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1027) at java.base/java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1497) at java.base/java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1433) at java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1179) at java.base/java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1553) at java.base/java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1510) at java.base/java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1433) at java.base/java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1179) at java.base/java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:349) at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:46) at org.apache.spark.storage.memory.SerializedValuesHolder.storeValue(MemoryStore.scala:729) at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:224) at org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:352) at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1618) at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1528) at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1592) at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1389) at org.apache.spark.storage.BlockManager.getOrElseUpdateRDDBlock(BlockManager.scala:1343) at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:376) at org.apache.spark.rdd.RDD.iterator(RDD.scala:326) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364) at org.apache.spark.rdd.RDD.iterator(RDD.scala:328) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364) at org.apache.spark.rdd.RDD.iterator(RDD.scala:328) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364) at org.apache.spark.rdd.RDD.iterator(RDD.scala:328) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364) at org.apache.spark.rdd.RDD.iterator(RDD.scala:328) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54) at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161) at org.apache.spark.scheduler.Task.run(Task.scala:141) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620) at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64) at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623) 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)** ` ### Issue Priority Priority: 1 (data loss / total loss of function) ### Issue Components - [ ] Component: Python SDK - [x] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam YAML - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Infrastructure - [x] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. 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