Mohammad Kamrul Islam created HIVE-12475:
--------------------------------------------

             Summary: Parquet schema evolution within array<struct<>> doesn't 
work
                 Key: HIVE-12475
                 URL: https://issues.apache.org/jira/browse/HIVE-12475
             Project: Hive
          Issue Type: Bug
          Components: File Formats
    Affects Versions: 1.1.0
            Reporter: Mohammad Kamrul Islam
            Assignee: Mohammad Kamrul Islam


If we create a table with type array<struct<>>, and later added a field in the 
struct, we got the following exception.

The following SQL statements would recreate the error:

{quote}
CREATE TABLE pq_test (f1 array<struct<c1:int,c2:int>>) STORED AS  PARQUET;
INSERT INTO TABLE pq_test select array(named_struct("c1",1,"c2",2)) FROM tmp 
LIMIT 2;

SELECT * from pq_test;

ALTER TABLE pq_test REPLACE COLUMNS (f1 
array<struct<c1:int,c2:int,cccccc:int>>); //***** cccccc
SELECT * from pq_test;
{quote}

Exception:
{quote}
Caused by: java.lang.ArrayIndexOutOfBoundsException: 2
        at 
org.apache.hadoop.hive.ql.io.parquet.serde.ArrayWritableObjectInspector.getStructFieldData(ArrayWritableObjectInspector.java:142)
        at 
org.apache.hadoop.hive.serde2.SerDeUtils.buildJSONString(SerDeUtils.java:363)
        at 
org.apache.hadoop.hive.serde2.SerDeUtils.buildJSONString(SerDeUtils.java:316)
        at 
org.apache.hadoop.hive.serde2.SerDeUtils.getJSONString(SerDeUtils.java:199)
        at 
org.apache.hadoop.hive.serde2.DelimitedJSONSerDe.serializeField(DelimitedJSONSerDe.java:61)
        at 
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.doSerialize(LazySimpleSerDe.java:236)
        at 
org.apache.hadoop.hive.serde2.AbstractEncodingAwareSerDe.serialize(AbstractEncodingAwareSerDe.java:55)
        at 
org.apache.hadoop.hive.ql.exec.DefaultFetchFormatter.convert(DefaultFetchFormatter.java:71)
        at 
org.apache.hadoop.hive.ql.exec.DefaultFetchFormatter.convert(DefaultFetchFormatter.java:40)
        at 
org.apache.hadoop.hive.ql.exec.ListSinkOperator.process(ListSinkOperator.java:89)
{quote}



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