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https://issues.apache.org/jira/browse/FLINK-20951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17264572#comment-17264572
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YUJIANBO commented on FLINK-20951:
----------------------------------
[~lirui][~jark]
Thanks to the help of Jack and Rui Li, the configuration of this parameter is
solved.
But the official website said:
“This feature is enabled *by default*. It may be disabled with the following
configuration.
table.exec.hive.fallback-mapred-reader=true”
> IllegalArgumentException when reading Hive parquet table if condition not
> contain all partitioned fields
> --------------------------------------------------------------------------------------------------------
>
> Key: FLINK-20951
> URL: https://issues.apache.org/jira/browse/FLINK-20951
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Hive, Table SQL / Runtime
> Affects Versions: 1.12.0
> Environment: flink 1.12.0 release-12
> sql-cli
> Reporter: YUJIANBO
> Priority: Major
>
> The production hive table is partitioned by two fields：datekey and event
> I have do this test by Flink-sql-cli:(Spark Sql All is OK)
> （1）First:
> SELECT vid From table_A WHERE datekey = '20210112' AND event = 'XXX' AND vid
> = 'aaaaaa'; (OK)
> SELECT vid From table_A WHERE datekey = '20210112' AND vid = 'aaaaaa';
> (Error)
> （2）Second:
> SELECT vid From table_B WHERE datekey = '20210112' AND event = 'YYY' AND vid
> = 'bbbbbb'; (OK)
> SELECT vid From table_B WHERE datekey = '20210112' AND vid = 'bbbbbb';
> (Error)
> The exception is:
> {code}
> java.lang.RuntimeException: One or more fetchers have encountered exception
> at
> org.apache.flink.connector.base.source.reader.fetcher.SplitFetcherManager.checkErrors(SplitFetcherManager.java:199)
> at
> org.apache.flink.connector.base.source.reader.SourceReaderBase.getNextFetch(SourceReaderBase.java:154)
> at
> org.apache.flink.connector.base.source.reader.SourceReaderBase.pollNext(SourceReaderBase.java:116)
> at
> org.apache.flink.streaming.api.operators.SourceOperator.emitNext(SourceOperator.java:273)
> at
> org.apache.flink.streaming.runtime.io.StreamTaskSourceInput.emitNext(StreamTaskSourceInput.java:67)
> at
> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:395)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:191)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:609)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:573)
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:755)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:570)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.RuntimeException: SplitFetcher thread 19 received
> unexpected exception while polling the records
> at
> org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.runOnce(SplitFetcher.java:146)
> at
> org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.run(SplitFetcher.java:101)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> ... 1 more
> Caused by: java.lang.IllegalArgumentException
> at java.nio.Buffer.position(Buffer.java:244)
> at
> org.apache.flink.hive.shaded.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes(Binary.java:424)
> at
> org.apache.flink.hive.shaded.formats.parquet.vector.reader.BytesColumnReader.readBatchFromDictionaryIds(BytesColumnReader.java:79)
> at
> org.apache.flink.hive.shaded.formats.parquet.vector.reader.BytesColumnReader.readBatchFromDictionaryIds(BytesColumnReader.java:33)
> at
> org.apache.flink.hive.shaded.formats.parquet.vector.reader.AbstractColumnReader.readToVector(AbstractColumnReader.java:199)
> at
> org.apache.flink.hive.shaded.formats.parquet.ParquetVectorizedInputFormat$ParquetReader.nextBatch(ParquetVectorizedInputFormat.java:359)
> at
> org.apache.flink.hive.shaded.formats.parquet.ParquetVectorizedInputFormat$ParquetReader.readBatch(ParquetVectorizedInputFormat.java:328)
> at
> org.apache.flink.connector.file.src.impl.FileSourceSplitReader.fetch(FileSourceSplitReader.java:67)
> 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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