Hi,

I am trying to use Hudi (hoodie-0.4.7) for building CDC pipeline. I am
using AvroKafkaSource and FilebasedSchemaProvider. The source schema looks
something like this where all the columns are nested in a field called
'columns' -

{

  "name": "rawdata",

  "type": "record",

  "fields": [

    {

      "name": "type",

      "type": "string"

    },

    {

      "name": "timestamp",

      "type": "string"

    },

    {

      "name": "database",

      "type": "string"

    },

    {

      "name": "table_name",

      "type": "string"

    },

    {

      "name": "binlog_filename",

      "type": "string"

    },

    {

      "name": "binlog_position",

      "type": "string"

    },

    {

      "name": "columns",

      "type": {"type": "map", "values": ["null","string"]}

    }

  ]

}

The target schema has all the columns and I am using transformer class to
extract the actual column fields from 'columns' field. Everything seems to
be working fine, however at the time of actual writing, I am getting the
below exception -

ERROR com.uber.hoodie.io.HoodieIOHandle  - Error writing record
HoodieRecord{key=HoodieKey { recordKey=123 partitionPath=2019/06/20},
currentLocation='null', newLocation='null'}
java.lang.ArrayIndexOutOfBoundsException: 123
at org.apache.avro.io.parsing.Symbol$Alternative.getSymbol(Symbol.java:402)
at org.apache.avro.io.ResolvingDecoder.doAction(ResolvingDecoder.java:290)
at org.apache.avro.io.parsing.Parser.advance(Parser.java:88)
at org.apache.avro.io.ResolvingDecoder.readIndex(ResolvingDecoder.java:267)
at
org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:155)
at
org.apache.avro.generic.GenericDatumReader.readField(GenericDatumReader.java:193)
at
org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:183)
at
org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:151)
at
org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:142)
at
com.uber.hoodie.common.util.HoodieAvroUtils.bytesToAvro(HoodieAvroUtils.java:86)
at
com.uber.hoodie.OverwriteWithLatestAvroPayload.getInsertValue(OverwriteWithLatestAvroPayload.java:69)
at
com.uber.hoodie.func.CopyOnWriteLazyInsertIterable$HoodieInsertValueGenResult.<init>(CopyOnWriteLazyInsertIterable.java:70)
at
com.uber.hoodie.func.CopyOnWriteLazyInsertIterable.lambda$getTransformFunction$0(CopyOnWriteLazyInsertIterable.java:83)
at
com.uber.hoodie.common.util.queue.BoundedInMemoryQueue.insertRecord(BoundedInMemoryQueue.java:175)
at
com.uber.hoodie.common.util.queue.IteratorBasedQueueProducer.produce(IteratorBasedQueueProducer.java:45)
at
com.uber.hoodie.common.util.queue.BoundedInMemoryExecutor.lambda$null$0(BoundedInMemoryExecutor.java:94)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)

I have verified the schemas and the data types are fine and in sync. Has
anyone else faced this issue? Any leads will be helpful.

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