Flink流压缩无法使用Amazon S3连接器(StreamingFileSink和CompressWriterFactory)

Question

当我将Apache作为Sink运行到AWS S3时，标准版本(forRowFormat)可以正常工作。

StreamingFileSink<String> s3sink = StreamingFileSink
        .forRowFormat(new Path(s3Url),
                (String element, OutputStream stream) -> {
                    PrintStream out = new PrintStream(stream);
                    out.println(element);
                })
            .withBucketAssigner(new BucketAssigner())
            .withRollingPolicy(DefaultRollingPolicy.builder()
                    .withMaxPartSize(100)
                    .withRolloverInterval(30000)
                    .build())
            .withBucketCheckInterval(100)
            .build();

当我使用大容量格式和CompressWriterFactory运行相同的内容时

StreamingFileSink<String> s3sink = StreamingFileSink
        .forBulkFormat(new Path(s3Url), 
                new CompressWriterFactory(new DefaultExtractor()))
        .withOutputFileConfig(outputFileConfig)
        .build();

它给了我以下的错误。

(注: CompressWriterFactory可以很好地处理HDFS方案'hdfs://host:port/path')

java.lang.UnsupportedOperationException: S3RecoverableFsDataOutputStream cannot sync state to S3. Use persist() to create a persistent recoverable intermediate point.
    at org.apache.flink.fs.s3.common.utils.RefCountedBufferingFileStream.sync(RefCountedBufferingFileStream.java:112)
    at org.apache.flink.fs.s3.common.writer.S3RecoverableFsDataOutputStream.sync(S3RecoverableFsDataOutputStream.java:126)
    at org.apache.flink.formats.compress.writers.NoCompressionBulkWriter.finish(NoCompressionBulkWriter.java:56)
    at org.apache.flink.streaming.api.functions.sink.filesystem.BulkPartWriter.closeForCommit(BulkPartWriter.java:62)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.closePartFile(Bucket.java:239)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.prepareBucketForCheckpointing(Bucket.java:280)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.onReceptionOfCheckpoint(Bucket.java:253)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.snapshotActiveBuckets(Buckets.java:250)
    at org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.snapshotState(Buckets.java:241)
    at org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSink.snapshotState(StreamingFileSink.java:422)
    at org.apache.flink.streaming.util.functions.StreamingFunctionUtils.trySnapshotFunctionState(StreamingFunctionUtils.java:118)
    at org.apache.flink.streaming.util.functions.StreamingFunctionUtils.snapshotFunctionState(StreamingFunctionUtils.java:99)
    ...
    at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:487)
    at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:470)
    at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:707)
    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:532)

备注-

"s3a://bucket/folder/path";

1. Flink版本1.10.0
2. s3Url =

Answer 1

这好像是个虫子。您可以使用这里包含的描述打开JIRA。

Answer 2

刚刚找到了解决此问题的方法:指定Hadoop压缩编解码器：

CompressWriters.forExtractor(new DefaultExtractor()).withHadoopCompression("GzipCodec")