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Posted to issues@flink.apache.org by "Robert Metzger (JIRA)" <ji...@apache.org> on 2016/04/05 18:51:25 UTC
[jira] [Assigned] (FLINK-3697) keyBy() with nested POJO computes
invalid field position indexes
[ https://issues.apache.org/jira/browse/FLINK-3697?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Metzger reassigned FLINK-3697:
-------------------------------------
Assignee: Robert Metzger
> 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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