[jira] [Created] (FLINK-21397) BufferUnderflowException when read parquet

["lihe ma (Jira)" <ji...@apache.org>]

lihe ma created FLINK-21397:
-------------------------------

             Summary: BufferUnderflowException when read parquet 
                 Key: FLINK-21397
                 URL: https://issues.apache.org/jira/browse/FLINK-21397
             Project: Flink
          Issue Type: Bug
          Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
    Affects Versions: 1.12.1
            Reporter: lihe ma
         Attachments: part-f33924c5-99c3-4177-9a9a-e2d5c71a799a-1-2324.snappy.parquet

error when read parquet file . 

when the encoding of all pages in parquet file is PLAIN_DICTIONARY , it works well , but  if   parquet file contains 3 pages, and the encoding of page0 and page1 is PLAIN_DICTIONARY, page2 is PLAIN  , then flink throw exception after page0 and page1 read finish.
the souurce parquet file is write by flink 1.11.

 

the parquet file info :

{{row group 0}}
{{--------------------------------------------------------------------------------}}
{{oid: BINARY SNAPPY DO:0 FPO:4 SZ:625876/1748820/2.79 VC:95192 ENC:BIT [more]...}}{{oid TV=95192 RL=0 DL=1 DS: 36972 DE:PLAIN_DICTIONARY}}
{{ ----------------------------------------------------------------------------}}
{{ page 0: DLE:RLE RLE:BIT_PACKED VLE:PLAIN_DICTIONARY [more]... SZ:70314}}
{{ page 1: DLE:RLE RLE:BIT_PACKED VLE:PLAIN_DICTIONARY [more]... SZ:74850}}
{{ page 2: DLE:RLE RLE:BIT_PACKED VLE:PLAIN ST:[m [more]... SZ:568184 }}
{{BINARY oid}}

exception msg:
{code:java}
Caused by: java.nio.BufferUnderflowExceptionCaused by: java.nio.BufferUnderflowException at java.nio.HeapByteBuffer.get(HeapByteBuffer.java:151) at java.nio.ByteBuffer.get(ByteBuffer.java:715) at org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes(Binary.java:422) at org.apache.flink.formats.parquet.vector.reader.BytesColumnReader.readBatchFromDictionaryIds(BytesColumnReader.java:77) at org.apache.flink.formats.parquet.vector.reader.BytesColumnReader.readBatchFromDictionaryIds(BytesColumnReader.java:31) at org.apache.flink.formats.parquet.vector.reader.AbstractColumnReader.readToVector(AbstractColumnReader.java:186) at org.apache.flink.formats.parquet.ParquetVectorizedInputFormat$ParquetReader.nextBatch(ParquetVectorizedInputFormat.java:363) at org.apache.flink.formats.parquet.ParquetVectorizedInputFormat$ParquetReader.readBatch(ParquetVectorizedInputFormat.java:334) at org.apache.flink.connector.file.src.impl.FileSourceSplitReader.fetch(FileSourceSplitReader.java:71) at org.apache.flink.connector.base.source.reader.fetcher.FetchTask.run(FetchTask.java:56) at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.runOnce(SplitFetcher.java:138) ... 6 more
{code}
 



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