I was able to resolve “unable to deserialize FileBasedSink” error by adding 
withNumShards().

inputData.apply(FileIO.<String, GenericRecord>writeDynamic()
                .by(record -> "test")
                .withDestinationCoder(StringUtf8Coder.of())
                .via(ParquetIO.sink(inputAvroSchema))
                .to(outputPath)
                .withNumShards(10)
                .withNaming(new SimpleFunction<String, 
FileIO.Write.FileNaming>() {
                    @Override
                    public FileIO.Write.FileNaming apply(String input) {
                        return  FileIO.Write.relativeFileNaming(
                                ValueProvider.StaticValueProvider.of(outputPath 
+ "/" + input), naming);
                    }
                }));

Now I am seeing a new error as below. Is this related to 
https://issues.apache.org/jira/browse/BEAM-9868? I don’t quite understand what 
this error means. Please advise.

Exception in thread "main" java.lang.IllegalArgumentException: unable to 
deserialize Custom DoFn With Execution Info
                at 
org.apache.beam.sdk.util.SerializableUtils.deserializeFromByteArray(SerializableUtils.java:78)
                at 
org.apache.beam.repackaged.direct_java.runners.core.construction.ParDoTranslation.doFnWithExecutionInformationFromProto(ParDoTranslation.java:709)
                at 
org.apache.beam.repackaged.direct_java.runners.core.construction.ParDoTranslation.getSchemaInformation(ParDoTranslation.java:392)
                at 
org.apache.beam.repackaged.direct_java.runners.core.construction.ParDoTranslation.getSchemaInformation(ParDoTranslation.java:377)
                at 
org.apache.beam.runners.direct.ParDoEvaluatorFactory.forApplication(ParDoEvaluatorFactory.java:87)

From: Tao Li <t...@zillow.com>
Reply-To: "user@beam.apache.org" <user@beam.apache.org>
Date: Thursday, March 4, 2021 at 11:52 AM
To: "user@beam.apache.org" <user@beam.apache.org>, Kobe Feng 
<flllbls...@gmail.com>
Cc: Yuchu Cao <yuc...@trulia.com>
Subject: Re: Does writeDynamic() support writing different element groups to 
different output paths?

I tried below code:

inputData.apply(FileIO.<String, GenericRecord>writeDynamic()
                .by(record -> "test")
                .via(ParquetIO.sink(inputAvroSchema))
                .to(outputPath)
                .withNaming(new SimpleFunction<String, 
FileIO.Write.FileNaming>() {
                    @Override
                    public FileIO.Write.FileNaming apply(String input) {
                        return  FileIO.Write.relativeFileNaming(
                                ValueProvider.StaticValueProvider.of(outputPath 
+ "/" + input), naming);
                    }
                })
                .withDestinationCoder(StringUtf8Coder.of()));

Exception in thread "main" java.lang.IllegalArgumentException: unable to 
deserialize FileBasedSink
                at 
org.apache.beam.sdk.util.SerializableUtils.deserializeFromByteArray(SerializableUtils.java:78)
                at 
org.apache.beam.repackaged.direct_java.runners.core.construction.WriteFilesTranslation.sinkFromProto(WriteFilesTranslation.java:125)
                at 
org.apache.beam.repackaged.direct_java.runners.core.construction.WriteFilesTranslation.getSink(WriteFilesTranslation.java:137)
                at 
org.apache.beam.runners.direct.WriteWithShardingFactory.getReplacementTransform(WriteWithShardingFactory.java:69)
                at 
org.apache.beam.sdk.Pipeline.applyReplacement(Pipeline.java:564)
                at org.apache.beam.sdk.Pipeline.replace(Pipeline.java:299)

When I switch to use write() API as below, it works fine. Does anyone have any 
ideas? Thanks!

inputData.apply(FileIO.<GenericRecord>write()
                .withNumShards(10)
                .via(ParquetIO.sink(inputAvroSchema))
                .to(outputPath)
                .withSuffix(".parquet"));


From: Tao Li <t...@zillow.com>
Reply-To: "user@beam.apache.org" <user@beam.apache.org>
Date: Thursday, March 4, 2021 at 9:36 AM
To: "user@beam.apache.org" <user@beam.apache.org>, Kobe Feng 
<flllbls...@gmail.com>
Cc: Yuchu Cao <yuc...@trulia.com>
Subject: Re: Does writeDynamic() support writing different element groups to 
different output paths?

Thanks Kobe let me give it a try!

From: Kobe Feng <flllbls...@gmail.com>
Reply-To: "user@beam.apache.org" <user@beam.apache.org>
Date: Wednesday, March 3, 2021 at 9:33 PM
To: "user@beam.apache.org" <user@beam.apache.org>
Cc: Yuchu Cao <yuc...@trulia.com>
Subject: Re: Does writeDynamic() support writing different element groups to 
different output paths?

I used the following way long time ago for writing into partitions in hdfs 
(maybe better solutions from others), and not sure any interface change which 
you need to check:

val baseDir = HadoopClient.resolve(basePath, env)
datum.apply("darwin.write.hadoop.parquet." + postfix, 
FileIO.writeDynamic[String, GenericRecord]()
  .by(recordPartition.partitionFunc)
  .withDestinationCoder(StringUtf8Coder.of())
  .via(DarwinParquetIO.sink(...)
  .to(baseDir)
   ...
  .withNaming((partitionFolder: String) => 
relativeFileNaming(StaticValueProvider.of[String](baseDir + Path.SEPARATOR + 
partitionFolder), fileNaming))
   ...

val partitionFunc: T => String



the good practice is auto-switch: using event time field from record value for 
partitioning when event time window, or process time.

and partitionFunc could consider multi partition columns to get subdirectories 
base on ur file system path separator, e.g. S3.

On Wed, Mar 3, 2021 at 5:36 PM Tao Li <t...@zillow.com<mailto:t...@zillow.com>> 
wrote:
Hi Beam community,

I have a streaming app that writes every hour’s data to a folder named with 
this hour. With Flink (for example), we can leverage “Bucketing File Sink”: 
https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/connectors/filesystem_sink.html<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-release-1.11%2Fdev%2Fconnectors%2Ffilesystem_sink.html&data=04%7C01%7Ctaol%40zillow.com%7C4e1d0f59c7684f3c2de908d8decf0583%7C033464830d1840e7a5883784ac50e16f%7C0%7C0%7C637504328030924936%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=UdztxrPHWE%2B94FslOWpJQpovdB8XJJk7sNYcY6KPP3U%3D&reserved=0>

However I am not seeing Beam FileIO’s writeDynamic API supports specifying 
different output paths for different groups: 
https://beam.apache.org/releases/javadoc/2.28.0/index.html?org/apache/beam/sdk/io/FileIO.html<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbeam.apache.org%2Freleases%2Fjavadoc%2F2.28.0%2Findex.html%3Forg%2Fapache%2Fbeam%2Fsdk%2Fio%2FFileIO.html&data=04%7C01%7Ctaol%40zillow.com%7C4e1d0f59c7684f3c2de908d8decf0583%7C033464830d1840e7a5883784ac50e16f%7C0%7C0%7C637504328030934892%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=lZuUQJAvuSxgCUNP%2BckbHQLqNq8u%2FcGMAXFSA2KOqW0%3D&reserved=0>

Seems like writeDynamic() only supports specifying different naming strategy.

How can I specify different hourly based output paths for hourly data with Beam 
writeDynamic? Please advise. Thanks!




--
Yours Sincerely
Kobe Feng

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