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From "Arup Malakar (JIRA)" <j...@apache.org>
Subject [jira] [Reopened] (HIVE-7787) Reading Parquet file with enum in Thrift Encoding throws NoSuchFieldError
Date Fri, 13 Feb 2015 16:29:12 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Arup Malakar reopened HIVE-7787:
--------------------------------

> Reading Parquet file with enum in Thrift Encoding throws NoSuchFieldError
> -------------------------------------------------------------------------
>
>                 Key: HIVE-7787
>                 URL: https://issues.apache.org/jira/browse/HIVE-7787
>             Project: Hive
>          Issue Type: Bug
>          Components: Database/Schema, Thrift API
>    Affects Versions: 0.12.0, 0.13.0, 0.12.1, 0.14.0, 0.13.1
>         Environment: Hive 0.12 CDH 5.1.0, Hadoop 2.3.0 CDH 5.1.0
>            Reporter: Raymond Lau
>            Assignee: Arup Malakar
>            Priority: Minor
>         Attachments: HIVE-7787.trunk.1.patch
>
>
> When reading Parquet file, where the original Thrift schema contains a struct with an
enum, this causes the following error (full stack trace blow): 
> {code}
>  java.lang.NoSuchFieldError: DECIMAL.
> {code} 
> Example Thrift Schema:
> {code}
> enum MyEnumType {
>     EnumOne,
>     EnumTwo,
>     EnumThree
> }
> struct MyStruct {
>     1: optional MyEnumType myEnumType;
>     2: optional string field2;
>     3: optional string field3;
> }
> struct outerStruct {
>     1: optional list<MyStruct> myStructs
> }
> {code}
> Hive Table:
> {code}
> CREATE EXTERNAL TABLE mytable (
>   mystructs array<struct<myenumtype: string, field2: string, field3: string>>
> )
> ROW FORMAT SERDE 'parquet.hive.serde.ParquetHiveSerDe'
> STORED AS
> INPUTFORMAT 'parquet.hive.DeprecatedParquetInputFormat'
> OUTPUTFORMAT 'parquet.hive.DeprecatedParquetOutputFormat'
> ; 
> {code}
> Error Stack trace:
> {code}
> Java stack trace for Hive 0.12:
> Caused by: java.lang.NoSuchFieldError: DECIMAL
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.ETypeConverter.getNewConverter(ETypeConverter.java:146)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.HiveGroupConverter.getConverterFromDescription(HiveGroupConverter.java:31)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.ArrayWritableGroupConverter.<init>(ArrayWritableGroupConverter.java:45)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.HiveGroupConverter.getConverterFromDescription(HiveGroupConverter.java:34)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.DataWritableGroupConverter.<init>(DataWritableGroupConverter.java:64)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.DataWritableGroupConverter.<init>(DataWritableGroupConverter.java:47)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.HiveGroupConverter.getConverterFromDescription(HiveGroupConverter.java:36)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.DataWritableGroupConverter.<init>(DataWritableGroupConverter.java:64)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.DataWritableGroupConverter.<init>(DataWritableGroupConverter.java:40)
> 	at org.apache.hadoop.hive.ql.io.parquet.convert.DataWritableRecordConverter.<init>(DataWritableRecordConverter.java:32)
> 	at org.apache.hadoop.hive.ql.io.parquet.read.DataWritableReadSupport.prepareForRead(DataWritableReadSupport.java:128)
> 	at parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:142)
> 	at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:118)
> 	at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:107)
> 	at org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:92)
> 	at org.apache.hadoop.hive.ql.io.parquet.read.ParquetRecordReaderWrapper.<init>(ParquetRecordReaderWrapper.java:66)
> 	at org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat.getRecordReader(MapredParquetInputFormat.java:51)
> 	at org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.<init>(CombineHiveRecordReader.java:65)
> 	... 16 more
> {code}



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