bigdata_hive_Issue of Vectorization on Parquet table

When Vectorization is turned on in Hive:
set hive.vectorized.execution.enabled=true;

If the involved table is in parquet rather than orc format, you may see below error.
This error appears in both "tez" and "mr" engine.

Solution: Disable vectorization.

Caused by: java.io.IOException: java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Incompatible Bytes vector column and primitive category VOID
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderNextException(HiveIOExceptionHandlerChain.java:121)
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderNextException(HiveIOExceptionHandlerUtil.java:77)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:352)
at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:79)
at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:33)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.next(HiveContextAwareRecordReader.java:115)
at org.apache.hadoop.mapred.split.TezGroupedSplitsInputFormat$TezGroupedSplitsRecordReader.next(TezGroupedSplitsInputFormat.java:126)
at org.apache.tez.mapreduce.lib.MRReaderMapred.next(MRReaderMapred.java:113)
at org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.pushRecord(MapRecordSource.java:61)
... 15 more
Caused by: java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Incompatible Bytes vector column and primitive category VOID
at org.apache.hadoop.hive.ql.io.parquet.VectorizedParquetInputFormat$VectorizedParquetRecordReader.next(VectorizedParquetInputFormat.java:136)
at org.apache.hadoop.hive.ql.io.parquet.VectorizedParquetInputFormat$VectorizedParquetRecordReader.next(VectorizedParquetInputFormat.java:49)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:347)
... 21 more