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Hive >> mail # user >> Hive Query


Hi Bejoy,

even If if perform count(*) operation on table it shows error,

select count(*) from dummysite;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
  set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
  set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
  set mapred.reduce.tasks=<number>
Starting Job = job_201207231123_0011, Tracking URL = http://localhost:50030/jobdetails.jsp?jobid=job_201207231123_0011
Kill Command = /HADOOP/hadoop-0.20.2/bin/../bin/hadoop job  -Dmapred.job.tracker=localhost:9001 -kill job_201207231123_0011
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2012-07-24 13:38:18,928 Stage-1 map = 0%,  reduce = 0%
2012-07-24 13:38:21,938 Stage-1 map = 100%,  reduce = 0%
2012-07-24 13:39:22,170 Stage-1 map = 100%,  reduce = 0%
2012-07-24 13:39:25,181 Stage-1 map = 100%,  reduce = 100%
Ended Job = job_201207231123_0011 with errors
Error during job, obtaining debugging information...
Examining task ID: task_201207231123_0011_m_000002 (and more) from job job_201207231123_0011
Exception in thread "Thread-93" java.lang.RuntimeException: Error while reading from task log url
    at org.apache.hadoop.hive.ql.exec.errors.TaskLogProcessor.getErrors(TaskLogProcessor.java:130)
    at org.apache.hadoop.hive.ql.exec.JobDebugger.showJobFailDebugInfo(JobDebugger.java:211)
    at org.apache.hadoop.hive.ql.exec.JobDebugger.run(JobDebugger.java:81)
    at java.lang.Thread.run(Thread.java:680)
Caused by: java.io.IOException: Server returned HTTP response code: 407 for URL: http://10.203.33.81:50060/tasklog?taskid=attempt_201207231123_0011_r_000000_0&start=-8193
    at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1436)
    at java.net.URL.openStream(URL.java:1010)
    at org.apache.hadoop.hive.ql.exec.errors.TaskLogProcessor.getErrors(TaskLogProcessor.java:120)
    ... 3 more
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask
MapReduce Jobs Launched:
Job 0: Map: 1  Reduce: 1   HDFS Read: 24 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
Please suggest why this error is comming :-(

Regards
Yogesh Kumar

________________________________
From: Bejoy KS [[EMAIL PROTECTED]]
Sent: Tuesday, July 24, 2012 12:52 PM
To: [EMAIL PROTECTED]
Subject: Re: Hive Query
Hi Yogesh

Can you try out this?

select count(*), site.name from sitealias join site on (site_alias.site_id=site.site_id) Group By site.name;

Regards
Bejoy KS

Sent from handheld, please excuse typos.
________________________________
From: <[EMAIL PROTECTED]>
Date: Tue, 24 Jul 2012 07:14:25 +0000
To: <[EMAIL PROTECTED]>
ReplyTo: [EMAIL PROTECTED]
Subject: Hive Query

Hi all,

I have two tables
1) sitealias
2) site
sitealias contains
-------------------------
id                   site_id
----------------------------
1                        15
2                        12
3                        12
4                        15
---------------------------

site contains

-----------------------------
site_id                        name
-------------------------------
12                        google
13                        wiki
14                        yahoo
15                        flipcart
---------------------------------

I am runing a query to perform equi join and to result  how many times same site_id repeats and its name and it gets group bi site id.

result of query I want

---------------------------------
site_id                name
---------------------------------
2                        google
2                        flipcart
----------------------------------
I performed
select sitealias.count(*), site.name from sitealias join site on (site_alias.site_id=site.site_id);

it shows error :  Parse Error:  mismatched input '(' expecting FROM near 'count' in from clause
Please help and suggest a query of this kind of operations.
Thanks & Regards
Yogesh Kumar

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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