Question

在Java Flink应用程序中使用Amazon Kinesis分析，我正在从firehose中获取数据，并尝试将其作为一系列镶木地板文件写入S3存储桶中。我在云监视日志中遇到以下异常，这是我可以看到的唯一可能与之相关的错误。

我已按照文档中的说明启用了检查点，并包括了flink / arvo相关性。在本地运行此功能。到达检查点后，将拼花地板文件写入本地本地磁盘。

例外

"message": "Exception type is USER from filter results [UserClassLoaderExceptionFilter -> USER, UserAPIExceptionFilter -> SKIPPED, UserSerializationExceptionFilter -> SKIPPED, UserFunctionExceptionFilter -> SKIPPED, OutOfMemoryExceptionFilter -> NONE, TooManyOpenFilesExceptionFilter -> NONE, KinesisServiceExceptionFilter -> NONE].",
"throwableInformation": [
    "java.lang.Exception: Error while triggering checkpoint 1360 for Source: Custom Source -> Map -> Sink: HelloS3 (1/1)",
    "org.apache.flink.runtime.taskmanager.Task$1.run(Task.java:1201)",
    "java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)",
    "java.util.concurrent.FutureTask.run(FutureTask.java:266)",
    "java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)",
    "java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)",
    "java.lang.Thread.run(Thread.java:748)",
    "Caused by: java.lang.AbstractMethodError: org.apache.parquet.hadoop.ColumnChunkPageWriteStore$ColumnChunkPageWriter.writePage(Lorg/apache/parquet/bytes/BytesInput;IILorg/apache/parquet/column/statistics/Statistics;Lorg/apache/parquet/column/Encoding;Lorg/apache/parquet/column/Encoding;Lorg/apache/parquet/column/Encoding;)V",
    "org.apache.parquet.column.impl.ColumnWriterV1.writePage(ColumnWriterV1.java:53)",
    "org.apache.parquet.column.impl.ColumnWriterBase.writePage(ColumnWriterBase.java:315)",
    "org.apache.parquet.column.impl.ColumnWriteStoreBase.flush(ColumnWriteStoreBase.java:152)",
    "org.apache.parquet.column.impl.ColumnWriteStoreV1.flush(ColumnWriteStoreV1.java:27)",
    "org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:172)",
    "org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:114)",
    "org.apache.parquet.hadoop.ParquetWriter.close(ParquetWriter.java:308)",
    "org.apache.flink.formats.parquet.ParquetBulkWriter.finish(ParquetBulkWriter.java:62)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.BulkPartWriter.closeForCommit(BulkPartWriter.java:62)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.closePartFile(Bucket.java:235)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.prepareBucketForCheckpointing(Bucket.java:276)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.onReceptionOfCheckpoint(Bucket.java:249)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.snapshotActiveBuckets(Buckets.java:244)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.snapshotState(Buckets.java:235)",
    "org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSink.snapshotState(StreamingFileSink.java:347)",
    "org.apache.flink.streaming.util.functions.StreamingFunctionUtils.trySnapshotFunctionState(StreamingFunctionUtils.java:118)",
    "org.apache.flink.streaming.util.functions.StreamingFunctionUtils.snapshotFunctionState(StreamingFunctionUtils.java:99)",
    "org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.snapshotState(AbstractUdfStreamOperator.java:90)",
    "org.apache.flink.streaming.api.operators.AbstractStreamOperator.snapshotState(AbstractStreamOperator.java:395)",
    "org.apache.flink.streaming.runtime.tasks.StreamTask$CheckpointingOperation.checkpointStreamOperator(StreamTask.java:1138)",
    "org.apache.flink.streaming.runtime.tasks.StreamTask$CheckpointingOperation.executeCheckpointing(StreamTask.java:1080)",
    "org.apache.flink.streaming.runtime.tasks.StreamTask.checkpointState(StreamTask.java:754)",
    "org.apache.flink.streaming.runtime.tasks.StreamTask.performCheckpoint(StreamTask.java:666)",
    "org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpoint(StreamTask.java:584)",
    "org.apache.flink.streaming.runtime.tasks.SourceStreamTask.triggerCheckpoint(SourceStreamTask.java:114)",
    "org.apache.flink.runtime.taskmanager.Task$1.run(Task.java:1190)",
    "\t... 5 more"

下面是我的代码段。处理事件时，甚至从bucketassigner记录日志时，我都会记录日志。

env.setStateBackend(new FsStateBackend("s3a://<BUCKET>/checkpoint"));
env.setParallelism(1);
env.enableCheckpointing(5000, CheckpointingMode.EXACTLY_ONCE);

StreamingFileSink<Metric> sink = StreamingFileSink
            .forBulkFormat(new Path("s3a://<BUCKET>/raw"), ParquetAvroWriters.forReflectRecord(Metric.class))
            .withBucketAssigner(new EventTimeBucketAssigner())
            .build();

我的pom：

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-parquet_2.11</artifactId>
    <version>1.11-SNAPSHOT</version>
</dependency>

<dependency>
    <groupId>org.apache.parquet</groupId>
    <artifactId>parquet-avro</artifactId>
    <version>1.11.0</version>
</dependency>

<dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-client</artifactId>
    <version>3.2.1</version>
</dependency>

我的AWS配置启用了“快照”。当我使用rowWriting而不是批量写入时，写入权限对存储桶有效。

真的不确定要如何使它正常工作。

Kinesis Analytics Flink编写镶木地板文件

0 个答案: