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https://issues.apache.org/jira/browse/HADOOP-3601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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lengwuqing updated HADOOP-3601:
-------------------------------

    Affects Version/s:     (was: 0.19.0)
                       0.17.2
               Status: Patch Available  (was: Open)

When I tried ths hive system, I found these issues:
   1. The NullHiveObject.getFields always return null, but somewhere the caller 
used these return value to call .getSize() method.    //I return "return new 
ArrayList<SerDeField>();" but I can not make sure this is OK.
   2.  In the joinOperator.close(), the l4j object is null.      //I added some 
check in this function.
   3. Some times(heavy loading for hadoop), even I used same data and same 
Hive-QL, but the resutl are difference.  While the logic error happen, the 
result must be xxxx_r_000022_0 and another file with postfix: xxxx_r_000022_1.  
 //I think this is a critical bug for me.

   Any facebook guy could you please give me a hand: why the case#3 happened?


> Hive as a contrib project
> -------------------------
>
>                 Key: HADOOP-3601
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3601
>             Project: Hadoop Core
>          Issue Type: Wish
>    Affects Versions: 0.17.2
>         Environment: N/A
>            Reporter: Joydeep Sen Sarma
>            Priority: Minor
>         Attachments: hive.tgz, hive.tgz, HiveTutorial.pdf
>
>   Original Estimate: 1080h
>  Remaining Estimate: 1080h
>
> Hive is a data warehouse built on top of flat files (stored primarily in 
> HDFS). It includes:
> - Data Organization into Tables with logical and hash partitioning
> - A Metastore to store metadata about Tables/Partitions etc
> - A SQL like query language over object data stored in Tables
> - DDL commands to define and load external data into tables
> Hive's query language is executed using Hadoop map-reduce as the execution 
> engine. Queries can use either single stage or multi-stage map-reduce. Hive 
> has a native format for tables - but can handle any data set (for example 
> json/thrift/xml) using an IO library framework.
> Hive uses Antlr for query parsing, Apache JEXL for expression evaluation and 
> may use Apache Derby as an embedded database for MetaStore. Antlr has a BSD 
> license and should be compatible with Apache license.
> We are currently thinking of contributing to the 0.17 branch as a contrib 
> project (since that is the version under which it will get tested internally) 
> - but looking for advice on the best release path.

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