Genmao Yu created HIVE-27059:
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Summary: Wrong object inspector will be created when use
collect_list and disable map-side aggregation
Key: HIVE-27059
URL: https://issues.apache.org/jira/browse/HIVE-27059
Project: Hive
Issue Type: Bug
Components: Query Planning
Affects Versions: 4.0.0-alpha-2, 3.1.3, 2.3.8
Environment:
Reporter: Genmao Yu
Assignee: Genmao Yu
Query will fail when use collect_list (or collect_set) and disable map-side
aggregationg:
{code:java}
Caused by: java.lang.ClassCastException:
org.apache.hadoop.hive.serde2.lazybinary.LazyBinaryMap cannot be cast to
java.util.Map
at
org.apache.hadoop.hive.serde2.objectinspector.StandardMapObjectInspector.getMap(StandardMapObjectInspector.java:85)
at
org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.copyToStandardObject(ObjectInspectorUtils.java:437)
at
org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.copyToStandardObject(ObjectInspectorUtils.java:362)
at
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFMkCollectionEvaluator.putIntoCollection(GenericUDAFMkCollectionEvaluator.java:154)
at
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFMkCollectionEvaluator.iterate(GenericUDAFMkCollectionEvaluator.java:120)
at
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.aggregate(GenericUDAFEvaluator.java:192)
at
org.apache.hadoop.hive.ql.exec.GroupByOperator.updateAggregations(GroupByOperator.java:638)
at
org.apache.hadoop.hive.ql.exec.GroupByOperator.processAggr(GroupByOperator.java:877)
at
org.apache.hadoop.hive.ql.exec.GroupByOperator.processKey(GroupByOperator.java:721)
at
org.apache.hadoop.hive.ql.exec.GroupByOperator.process(GroupByOperator.java:787)
{code}
To reproduce this issue:
{code:sql}
create table tb1 (a int, b string, c string);
insert into tb1 values (1, "100", "101");
insert into tb1 values (1, "102", "103");
insert into tb1 values (2, "200", "201");
set hive.map.aggr=false;
select a, collect_list(map("b",b,"c",c)) as col1 from tb1 group by a;
select a, collect_set(array(b, c)) as col1 from tb1 group by a;
{code}
To work around this issue:
{code:sql}
set hive.map.aggr=true;
{code}
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