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Hive >> mail # user >> Re: java.lang.NoClassDefFoundError: com/jayway/jsonpath/PathUtil


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Sai Sai 2013-03-08, 10:53
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Dean Wampler 2013-03-08, 13:22
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Sai Sai 2013-03-10, 08:19
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Ramki Palle 2013-03-10, 11:22
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Sai Sai 2013-03-10, 12:26
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Re: java.lang.NoClassDefFoundError: com/jayway/jsonpath/PathUtil
Well, you get the results faster.

Please check this:

https://cwiki.apache.org/Hive/gettingstarted.html#GettingStarted-Runtimeconfiguration

Under section   "Hive, Map-Reduce and Local-Mode", it says

This can be very useful to run queries over small data sets - in such cases
local mode execution is usually significantly faster than submitting jobs
to a large cluster.

-Ramki.
On Sun, Mar 10, 2013 at 5:26 AM, Sai Sai <[EMAIL PROTECTED]> wrote:

> Ramki/John
> Many Thanks, that really helped. I have run the add jars in the new
> session and it appears to be running. However i was wondering about by
> passing MR, why would we do it and what is the use of it. Will appreciate
> any input.
> Thanks
> Sai
>
>
>   ------------------------------
> *From:* Ramki Palle <[EMAIL PROTECTED]>
>
> *To:* [EMAIL PROTECTED]; Sai Sai <[EMAIL PROTECTED]>
> *Sent:* Sunday, 10 March 2013 4:22 AM
> *Subject:* Re: java.lang.NoClassDefFoundError:
> com/jayway/jsonpath/PathUtil
>
> When you execute the following query,
>
> hive> select * from twitter limit 5;
>
> Hive runs it in local mode and not use MapReduce.
>
> For the query,
>
> hive> select tweet_id from twitter limit 5;
>
> I think you need to add JSON jars to overcome this error. You might have
> added these in a previous session. If you want these jars available for all
> sessions, insert the add jar statements to your $HOME/.hiverc file.
>
>
> To bypass MapReduce
>
> set hive.exec.mode.local.auto = true;
>
> to suggest Hive to use local mode to execute the query. If it still uses
> MR, try
>
> set hive.fetch.task.conversion = more;.
>
>
> -Ramki.
>
>
>
> On Sun, Mar 10, 2013 at 12:19 AM, Sai Sai <[EMAIL PROTECTED]> wrote:
>
> Just wondering if anyone has any suggestions:
>
> This executes successfully:
>
> hive> select * from twitter limit 5;
>
> This does not work:
>
> hive> select tweet_id from twitter limit 5; // I have given the exception
> info below:
>
> Here is the output of this:
>
> hive> select * from twitter limit 5;
> OK
>
> tweet_id    created_at    text    user_id    user_screen_name    user_lang
> 122106088022745088    Fri Oct 07 00:28:54 +0000 2011    wkwkw -_- ayo saja
> mba RT @yullyunet: Sepupuuu, kita lanjalan yok.. Kita karokoe-an.. Ajak mas
> galih jg kalo dia mau.. "@Dindnf: doremifas    124735434    Dindnf    en
> 122106088018558976    Fri Oct 07 00:28:54 +0000 2011    @egg486 특별히
> 준비했습니다!    252828803    CocaCola_Korea    ko
> 122106088026939392    Fri Oct 07 00:28:54 +0000 2011    My offer of free
> gobbies for all if @amityaffliction play Blair snitch project still
> stands.    168590073    SarahYoungBlood    en
> 122106088035328001    Fri Oct 07 00:28:54 +0000 2011    the girl nxt to me
> in the lib got her headphones in dancing and singing loud af like she the
> only one here haha    267296295    MONEYyDREAMS_    en
> 122106088005971968    Fri Oct 07 00:28:54 +0000 2011    @KUnYoong_B2UTY
> Bị lsao đấy    269182160    b2st_b2utyhp    en
> Time taken: 0.154 seconds
>
> This does not work:
>
> hive> select tweet_id from twitter limit 5;
>
>
> Total MapReduce jobs = 1
> Launching Job 1 out of 1
> Number of reduce tasks is set to 0 since there's no reduce operator
> Starting Job = job_201303050432_0094, Tracking URL > http://ubuntu:50030/jobdetails.jsp?jobid=job_201303050432_0094
> Kill Command = /home/satish/work/hadoop-1.0.4/libexec/../bin/hadoop job
> -kill job_201303050432_0094
> Hadoop job information for Stage-1: number of mappers: 1; number of
> reducers: 0
> 2013-03-10 00:14:44,509 Stage-1 map = 0%,  reduce = 0%
> 2013-03-10 00:15:14,613 Stage-1 map = 100%,  reduce = 100%
> Ended Job = job_201303050432_0094 with errors
> Error during job, obtaining debugging information...
> Job Tracking URL:
> http://ubuntu:50030/jobdetails.jsp?jobid=job_201303050432_0094
> Examining task ID: task_201303050432_0094_m_000002 (and more) from job
> job_201303050432_0094
>
> Task with the most failures(4):
> -----
> Task ID:
>   task_201303050432_0094_m_000000
>
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bejoy_ks@... 2013-03-10, 19:06
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Sai Sai 2013-03-11, 03:25
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john smith 2013-03-10, 11:14
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yuemeng1 2014-12-02, 03:59
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB