thanks all i move lzo index to hive directory is work fine .
thanks

2013/8/22 Rajesh Balamohan <rajesh.balamo...@gmail.com>

> Create the LZO index after moving the file to hive directory (i.e after
> executing your LOAD DATA* statement).  Index file is needed only during job
> execution and if its not present in the same directory, it would not split
> the large file.
>
>
> On Thu, Aug 22, 2013 at 7:11 AM, 闫昆 <yankunhad...@gmail.com> wrote:
>
>> In hive i use SET
>> mapreduce.input.fileinputformat.split.maxsize=134217728; but not effect and
>> i found when use
>>
>> LOAD DATA INPATH  '/data_split/data_rowkey.lzo'
>>
>> OVERWRITE INTO TABLE data_zh
>>
>> The hdfs data move to hive directory i  CREATE EXTERNAL TABLE but issue
>> is data_rowkey.lzo.index is also exist hdfs /data_split/ directory
>> .actually data move to hive directory , index file in hdfs directory ,they
>> are not in the same directory
>>
>>
>> 2013/8/22 Sanjay Subramanian <sanjay.subraman...@wizecommerce.com>
>>
>>>  Hi
>>>
>>>  Try this setting in your hive query
>>>
>>>  SET mapreduce.input.fileinputformat.split.maxsize=<some bytes>;
>>>
>>>  If u set this value "low" then the MR job will use this size to split
>>> the input LZO files and u will get multiple mappers (and make sure the
>>> input LZO files are indexed I.e. .LZO.INDEX files are created)
>>>
>>>  sanjay
>>>
>>>
>>>   From: Edward Capriolo <edlinuxg...@gmail.com>
>>> Reply-To: "user@hive.apache.org" <user@hive.apache.org>
>>> Date: Wednesday, August 21, 2013 10:43 AM
>>> To: "user@hive.apache.org" <user@hive.apache.org>
>>> Subject: Re: only one mapper
>>>
>>>   LZO files are only splittable if you index them. Sequence files
>>> compresses with LZO are splittable without being indexed.
>>>
>>>  Snappy + SequenceFile is a better option then LZO.
>>>
>>>
>>> On Wed, Aug 21, 2013 at 1:39 PM, Igor Tatarinov <i...@decide.com> wrote:
>>>
>>>>  LZO files are combinable so check your max split setting.
>>>>
>>>> http://mail-archives.apache.org/mod_mbox/hive-user/201107.mbox/%3c4e328964.7000...@gmail.com%3E
>>>>
>>>>  igor
>>>> decide.com
>>>>
>>>>
>>>>
>>>> On Wed, Aug 21, 2013 at 2:17 AM, 闫昆 <yankunhad...@gmail.com> wrote:
>>>>
>>>>>  hi all when i use hive
>>>>> hive job make only one mapper actually my file split 18 block my block
>>>>> size is 128MB and data size 2GB
>>>>> i use lzo compression and create file.lzo and make index
>>>>> file.lzo.index
>>>>> i use hive 0.10.0
>>>>>
>>>>>  Total MapReduce jobs = 1
>>>>> Launching Job 1 out of 1
>>>>> Number of reduce tasks is set to 0 since there's no reduce operator
>>>>> Cannot run job locally: Input Size (= 2304560827) is larger than
>>>>> hive.exec.mode.local.auto.inputbytes.max (= 134217728)
>>>>> Starting Job = job_1377071515613_0003, Tracking URL =
>>>>> http://hydra0001:8088/proxy/application_1377071515613_0003/
>>>>> Kill Command = /opt/module/hadoop-2.0.0-cdh4.3.0/bin/hadoop job  -kill
>>>>> job_1377071515613_0003
>>>>> Hadoop job information for Stage-1: number of mappers: 1; number of
>>>>> reducers: 0
>>>>> 2013-08-21 16:44:30,237 Stage-1 map = 0%,  reduce = 0%
>>>>> 2013-08-21 16:44:40,495 Stage-1 map = 2%,  reduce = 0%, Cumulative CPU
>>>>> 6.81 sec
>>>>> 2013-08-21 16:44:41,710 Stage-1 map = 2%,  reduce = 0%, Cumulative CPU
>>>>> 6.81 sec
>>>>> 2013-08-21 16:44:42,919 Stage-1 map = 2%,  reduce = 0%, Cumulative CPU
>>>>> 6.81 sec
>>>>> 2013-08-21 16:44:44,117 Stage-1 map = 3%,  reduce = 0%, Cumulative CPU
>>>>> 9.95 sec
>>>>> 2013-08-21 16:44:45,333 Stage-1 map = 3%,  reduce = 0%, Cumulative CPU
>>>>> 9.95 sec
>>>>> 2013-08-21 16:44:46,530 Stage-1 map = 5%,  reduce = 0%, Cumulative CPU
>>>>> 13.0 sec
>>>>>
>>>>>  --
>>>>>
>>>>> In the Hadoop world, I am just a novice, explore the entire Hadoop
>>>>> ecosystem, I hope one day I can contribute their own code
>>>>>
>>>>> YanBit
>>>>> yankunhad...@gmail.com
>>>>>
>>>>>
>>>>
>>>
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>>
>>
>>
>> --
>>
>> In the Hadoop world, I am just a novice, explore the entire Hadoop
>> ecosystem, I hope one day I can contribute their own code
>>
>> YanBit
>> yankunhad...@gmail.com
>>
>>
>
>
> --
> ~Rajesh.B
>



-- 

In the Hadoop world, I am just a novice, explore the entire Hadoop
ecosystem, I hope one day I can contribute their own code

YanBit
yankunhad...@gmail.com

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