OK I think this issue is due to incompatibility between the parquet files
(created with spark 2.4) and parquet version as a dependency of ParquetIO 2.25.
It seems working after I switch to spark runner (from direct runner) and run
the beam app in a spark cluster. I assume by doing this I am basically using
parquet jars from spark distributable directly and now everything is compatible.
From: Tao Li <t...@zillow.com>
Reply-To: "user@beam.apache.org" <user@beam.apache.org>
Date: Friday, January 29, 2021 at 7:45 AM
To: "user@beam.apache.org" <user@beam.apache.org>
Subject: Re: Potential bug with ParquetIO.read when reading arrays
Hi community,
Can someone take a look at this issue? It is kind of a blocker to me right now.
Really appreciate your help!
From: Tao Li <t...@zillow.com>
Reply-To: "user@beam.apache.org" <user@beam.apache.org>
Date: Thursday, January 28, 2021 at 6:13 PM
To: "user@beam.apache.org" <user@beam.apache.org>
Subject: Re: Potential bug with ParquetIO.read when reading arrays
BTW I tried avro 1.8 and 1.9 and both have the same error. So we can probably
rule out any avro issue.
From: Tao Li <t...@zillow.com>
Reply-To: "user@beam.apache.org" <user@beam.apache.org>
Date: Thursday, January 28, 2021 at 9:07 AM
To: "user@beam.apache.org" <user@beam.apache.org>
Subject: Potential bug with ParquetIO.read when reading arrays
Hi Beam community,
I am seeing an error when reading an array field using ParquetIO. I was using
beam 2.25 and the direct runner for testing. Is this a bug or a known issue? Am
I missing anything here? Please help me root cause this issue. Thanks so much!
Attached are the avro schema and the parquet file. Below is the schema tree as
a quick visualization. The array field name is “list” and the element type is
int. You can see this schema defined in the avsc file as well.
root
|-- list: array (nullable = true)
| |-- element: integer (containsNull = true)
The beam code is very simple:
pipeline.apply(ParquetIO.read(avroSchema).from(parquetPath));
Here is the error when running that code:
[direct-runner-worker] INFO
shaded.org.apache.parquet.hadoop.InternalParquetRecordReader - block read in
memory in 130 ms. row count = 1
Exception in thread "main"
org.apache.beam.sdk.Pipeline$PipelineExecutionException:
java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot
be cast to java.lang.Number
at
org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:353)
at
org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:321)
at
org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:216)
at
org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:67)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:317)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:303)
Caused by: java.lang.ClassCastException:
org.apache.avro.generic.GenericData$Record cannot be cast to java.lang.Number
at
org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:156)
at
org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82)
at
org.apache.avro.generic.GenericDatumWriter.writeArray(GenericDatumWriter.java:234)
at
org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:136)
at
org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82)
at
org.apache.avro.generic.GenericDatumWriter.writeField(GenericDatumWriter.java:206)
at
org.apache.avro.generic.GenericDatumWriter.writeRecord(GenericDatumWriter.java:195)
at
org.apache.avro.generic.GenericDatumWriter.writeWithoutConversion(GenericDatumWriter.java:130)
at
org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:82)
at
org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:72)
at
org.apache.beam.sdk.coders.AvroCoder.encode(AvroCoder.java:317)
at org.apache.beam.sdk.coders.Coder.encode(Coder.java:136)
at
org.apache.beam.sdk.util.CoderUtils.encodeToSafeStream(CoderUtils.java:82)
at
org.apache.beam.sdk.util.CoderUtils.encodeToByteArray(CoderUtils.java:66)
at
org.apache.beam.sdk.util.CoderUtils.encodeToByteArray(CoderUtils.java:51)
at
org.apache.beam.sdk.util.CoderUtils.clone(CoderUtils.java:141)
at
org.apache.beam.sdk.util.MutationDetectors$CodedValueMutationDetector.<init>(MutationDetectors.java:115)
at
org.apache.beam.sdk.util.MutationDetectors.forValueWithCoder(MutationDetectors.java:46)
at
org.apache.beam.runners.direct.ImmutabilityCheckingBundleFactory$ImmutabilityEnforcingBundle.add(ImmutabilityCheckingBundleFactory.java:112)
at
org.apache.beam.runners.direct.ParDoEvaluator$BundleOutputManager.output(ParDoEvaluator.java:301)
at
org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:267)
at
org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:79)
at
org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:413)
at
org.apache.beam.repackaged.direct_java.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:401)
at
org.apache.beam.sdk.io.parquet.ParquetIO$ReadFiles$ReadFn.processElement(ParquetIO.java:646)
