Hadoop 配置单元作业卡在map=100%时，减少0%

我正在hadoop-2.2.0上运行hive-0.12.0。提交查询后：

select  i_item_desc
  ,i_category
  ,i_class
  ,i_current_price
  ,i_item_id
  ,sum(ws_ext_sales_price) as itemrevenue
  ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
      (partition by i_class) as revenueratio
from item JOIN web_sales ON (web_sales.ws_item_sk = item.i_item_sk) JOIN date_dim ON (web_sales.ws_sold_date_sk = date_dim.d_date_sk)
where item.i_category in ('Jewelry', 'Sports', 'Books')
    and date_dim.d_date between '2001-01-12' and '2001-02-11'
    and ws_sold_date between '2001-01-12' and '2001-02-11'
group by
    i_item_id
    ,i_item_desc
    ,i_category
    ,i_class
    ,i_current_price
order by
    i_category
    ,i_class
    ,i_item_id
    ,i_item_desc
    ,revenueratio
limit 100;

我在日志中发现以下错误：

Hadoop job information for Stage-3: number of mappers: 1; number of reducers: 1
2014-07-07 15:26:16,893 Stage-3 map = 0%,  reduce = 0%
2014-07-07 15:26:22,033 Stage-3 map = 100%,  reduce = 0%, Cumulative CPU 1.32 sec

然后，最后一行每隔一秒左右无限重复一次。如果我查看容器日志，我会看到：

2014-07-07 17:12:17,477 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: Diagnostics report from attempt_1404402886929_0036_m_000000_0: Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143

我已经搜索了退出代码143，但是大部分内容都是关于内存问题的，我按照的建议设置了相当大的内存。我甚至试着在那篇文章的每个设置中增加6GB，但仍然没有成功

我还使用以下工具运行此作业：

hive -hiveconf hive.root.logger=DEBUG,console

这确实产生了更多的信息，但我看不出有什么问题

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我不知道还有什么地方可以看…

您执行的查询是什么？哎呀。现在修好了。谢谢。在hadoop 2.3.0上再次遇到它