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https://issues.apache.org/jira/browse/FLINK-3697?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15230257#comment-15230257
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ASF GitHub Bot commented on FLINK-3697:
---------------------------------------
Github user rmetzger commented on the pull request:
https://github.com/apache/flink/pull/1851#issuecomment-206915028
I'll address Stephan's comment and merge the change
> keyBy() with nested POJO computes invalid field position indexes
> ----------------------------------------------------------------
>
> Key: FLINK-3697
> URL: https://issues.apache.org/jira/browse/FLINK-3697
> Project: Flink
> Issue Type: Bug
> Components: DataStream API
> Affects Versions: 1.0.0
> Environment: MacOS X 10.10
> Reporter: Ron Crocker
> Assignee: Robert Metzger
> Priority: Critical
> Labels: pojo
>
> Using named keys in keyBy() for nested POJO types results in failure. The
> iindexes for named key fields are used inconsistently with nested POJO types.
> In particular, {{PojoTypeInfo.getFlatFields()}} returns the field's position
> after (apparently) flattening the structure but is referenced in the
> unflattened version of the POJO type by {{PojoTypeInfo.getTypeAt()}}.
> In the example below, getFlatFields() returns positions 0, 1, and 14. These
> positions appear correct in the flattened structure of the Data class.
> However, in {{KeySelector<X, Tuple> getSelectorForKeys(Keys<X> keys,
> TypeInformation<X> typeInfo, ExecutionConfig executionConfig)}}, a call to
> {{compositeType.getTypeAt(logicalKeyPositions[i])}} for the third key results
> {{PojoTypeInfo.getTypeAt()}} declaring it out of range, as it compares the
> length of the directly named fields of the object vs the length of flattened
> version of that type.
> Concrete Example:
> Consider this graph:
> {code}
> DataStream<TimesliceData> dataStream = see.addSource(new
> FlinkKafkaConsumer08<>(timesliceConstants.topic, new DataDeserialzer(),
> kafkaConsumerProperties));
> dataStream
> .flatMap(new DataMapper())
> .keyBy("aaa", "abc", "wxyz")
> {code}
> {{DataDeserialzer}} returns a "NativeDataFormat" object; {{DataMapper}} takes
> this NativeDataFormat object and extracts individual Data objects: {code}
> public class Data {
> public int aaa;
> public int abc;
> public long wxyz;
> public int t1;
> public int t2;
> public Policy policy;
> public Stats stats;
> public Data() {}
> {code}
> A {{Policy}} object is an instance of this class:
> {code}
> public class Policy {
> public short a;
> public short b;
> public boolean c;
> public boolean d;
> public Policy() {}
> }
> {code}
> A {{Stats}} object is an instance of this class:
> {code}
> public class Stats {
> public long count;
> public float a;
> public float b;
> public float c;
> public float d;
> public float e;
> public Stats() {}
> }
> {code}
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