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https://issues.apache.org/jira/browse/HUDI-5034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Y Ethan Guo reassigned HUDI-5034:
---------------------------------
Assignee: Y Ethan Guo
> Enum info lost during schema conversion
> ---------------------------------------
>
> Key: HUDI-5034
> URL: https://issues.apache.org/jira/browse/HUDI-5034
> Project: Apache Hudi
> Issue Type: Bug
> Components: deltastreamer
> Reporter: Shawn Chang
> Assignee: Y Ethan Guo
> Priority: Blocker
> Labels: pull-request-available
> Fix For: 1.0.0
>
>
> When a transformer is used in deltastreamer sync, SparkAvroPostProcessor
> would be attached to SchemaProvider by default (see
> [[code|https://github.com/apache/hudi/blob/94c068ae4fd75ab011e6a3f1c593fdd5db42da3b/hudi-utilities/src/main/java/org/apache/hudi/utilities/UtilHelpers.java#L485]])
>
> And in SparkAvroPostProcessor it's converting avro schema to struct type
> schema and then convert it back immediately (see
> [code|https://github.com/apache/hudi/blob/94c068ae4fd75ab011e6a3f1c593fdd5db42da3b/hudi-utilities/src/main/java/org/apache/hudi/utilities/schema/SparkAvroPostProcessor.java#L42])
>
>
> But during the conversion, if the original avro schema has 'enum' field
> specified, the field would be lost: schema would first be converted to struct
> type schema and the 'enum' would be converted to 'string' type. And when it's
> converted back to avro type, the 'string' type would not be converted back to
> 'enum'.
>
> Steps to reproduce:
> # Prepare an avro schema that contains enum field, sample below
> #
> {code:java}
> {
> "name": "accountDataRecord",
> "namespace": "sample.test",
> "type": "record",
> "fields": [
> {
> "name": "action",
> "type": {
> "name": "testEnum",
> "type" : "enum",
> "symbols": [
> "INSERT",
> "UPDATE",
> "DELETE"
> ]
> }
> },
> {"name":"ts","type":"int"}
> ]
> } {code}
> # Run Deltastreamer with a transformer
> # Exception:
> #
> {code:java}
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2610)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2559)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2558)
> at
> scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
> at
> scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2558)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1200)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1200)
> at scala.Option.foreach(Option.scala:407)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1200)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2798)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2740)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2729)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:978)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2215)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2236)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2255)
> at org.apache.spark.rdd.RDD.$anonfun$take$1(RDD.scala:1449)
> 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:414)
> at org.apache.spark.rdd.RDD.take(RDD.scala:1422)
> at org.apache.spark.rdd.RDD.$anonfun$isEmpty$1(RDD.scala:1557)
> 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:414)
> at org.apache.spark.rdd.RDD.isEmpty(RDD.scala:1557)
> at
> org.apache.hudi.AvroConversionUtils$.createDataFrame(AvroConversionUtils.scala:131)
> at
> org.apache.hudi.AvroConversionUtils.createDataFrame(AvroConversionUtils.scala)
> at
> org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter.lambda$fetchNewDataInRowFormat$2(SourceFormatAdapter.java:109)
> at org.apache.hudi.common.util.Option.map(Option.java:108)
> at
> org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter.fetchNewDataInRowFormat(SourceFormatAdapter.java:109)
> at
> org.apache.hudi.utilities.deltastreamer.DeltaSync.fetchFromSource(DeltaSync.java:424)
> at
> org.apache.hudi.utilities.deltastreamer.DeltaSync.readFromSource(DeltaSync.java:398)
> at
> org.apache.hudi.utilities.deltastreamer.DeltaSync.syncOnce(DeltaSync.java:303)
> at
> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.lambda$sync$2(HoodieDeltaStreamer.java:200)
> at org.apache.hudi.common.util.Option.ifPresent(Option.java:97)
> at
> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.sync(HoodieDeltaStreamer.java:198)
> at
> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.main(HoodieDeltaStreamer.java:549)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1000)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
> at
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1089)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1098)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: org.apache.avro.AvroTypeException: Found sample.test.testEnum,
> expecting string
> at org.apache.avro.io.ResolvingDecoder.doAction(ResolvingDecoder.java:308)
> at org.apache.avro.io.parsing.Parser.advance(Parser.java:86)
> at
> org.apache.avro.io.ResolvingDecoder.readString(ResolvingDecoder.java:203)
> at
> org.apache.avro.generic.GenericDatumReader.readString(GenericDatumReader.java:469)
> at
> org.apache.avro.reflect.ReflectDatumReader.readString(ReflectDatumReader.java:222)
> at
> org.apache.avro.generic.GenericDatumReader.readString(GenericDatumReader.java:459)
> at
> org.apache.avro.generic.GenericDatumReader.readWithoutConversion(GenericDatumReader.java:191)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:160)
> at
> org.apache.avro.generic.GenericDatumReader.readField(GenericDatumReader.java:259)
> at
> org.apache.avro.specific.SpecificDatumReader.readField(SpecificDatumReader.java:142)
> at
> org.apache.avro.reflect.ReflectDatumReader.readField(ReflectDatumReader.java:298)
> at
> org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:247)
> at
> org.apache.avro.specific.SpecificDatumReader.readRecord(SpecificDatumReader.java:123)
> at
> org.apache.avro.generic.GenericDatumReader.readWithoutConversion(GenericDatumReader.java:179)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:160)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:153)
> at org.apache.avro.file.DataFileStream.next(DataFileStream.java:251)
> at
> org.apache.avro.mapreduce.AvroRecordReaderBase.nextKeyValue(AvroRecordReaderBase.java:126)
> at
> org.apache.avro.mapreduce.AvroKeyRecordReader.nextKeyValue(AvroKeyRecordReader.java:55)
> at
> org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:247)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
> at scala.collection.Iterator$SliceIterator.hasNext(Iterator.scala:268)
> at scala.collection.Iterator.foreach(Iterator.scala:943)
> at scala.collection.Iterator.foreach$(Iterator.scala:943)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
> at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
> {code}
> Some logs I added to expose the issues:
> {code:java}
> // original schema
> 22/10/14 03:33:51 INFO UtilHelpers: UtilHelpers,
> wrapSchemaProviderWithPostProcessor, schema provider by the end: {
> "type" : "record",
> "name" : "accountDataRecord",
> "namespace" : "sample.test",
> "fields" : [ {
> "name" : "action",
> "type" : {
> "type" : "enum",
> "name" : "testEnum",
> "symbols" : [ "INSERT", "UPDATE", "DELETE" ]
> }
> }, {
> "name" : "ts",
> "type" : "int"
> } ]
> }
> /* Around this LOC
> (https://github.com/apache/hudi/blob/94c068ae4fd75ab011e6a3f1c593fdd5db42da3b/hudi-utilities/src/main/java/org/apache/hudi/utilities/deltastreamer/HoodieDeltaStreamer.java#L673)
> The schema converted back lost enum field already */
> 22/10/14 03:33:51 INFO HoodieDeltaStreamer: HoodieDeltaStreamer, source
> schema from schema provider: {
> "type" : "record",
> "name" : "hoodie_source",
> "namespace" : "hoodie.source",
> "fields" : [ {
> "name" : "action",
> "type" : "string"
> }, {
> "name" : "ts",
> "type" : "int"
> } ]
> } {code}
>
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