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From "stack (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-5166) MultiThreaded Table Mapper analogous to MultiThreaded Mapper in hadoop
Date Fri, 13 Jan 2012 23:06:39 GMT

    [ https://issues.apache.org/jira/browse/HBASE-5166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13185963#comment-13185963
] 

stack commented on HBASE-5166:
------------------------------

bq. Moreover, I want to know whether It would be a good/bad idea to use HBase for these kind
of usecases ?.

Looks grand to me (as does the network/io-bound justification in your usecase).  Would be
a nice contrib.   I'd like it so I can use it putting up load on hbase; currently have to
run a ridiculous amount of concurrent mappers putting up a load using a tool like PerformanceEvaluation
which runs a single client doing serial load per map task.

A few comments on the patch.

No need of these lines:

{code}
+ * Copyright 2007 The Apache Software Foundation
{code}

In our code base, we use two spaces for tabs (no hard tabs you have in your file).

Fix the name of this config:

{code}
+				getInt("mapred.map.multithreadedrunner.threads", 10);
{code}

Ditto for the setter.

You don't want to use an executor and something like guava's utility creating the executor
running the threads?  (See hbase code base for examples)


                
> MultiThreaded Table Mapper analogous to MultiThreaded Mapper in hadoop
> ----------------------------------------------------------------------
>
>                 Key: HBASE-5166
>                 URL: https://issues.apache.org/jira/browse/HBASE-5166
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Jai Kumar Singh
>            Priority: Minor
>              Labels: multithreaded, tablemapper
>         Attachments: 0001-Added-MultithreadedTableMapper-HBASE-5166.patch
>
>   Original Estimate: 0.5h
>  Remaining Estimate: 0.5h
>
> There is no MultiThreadedTableMapper in hbase currently just like we have a MultiThreadedMapper
in Hadoop for IO Bound Jobs. 
> UseCase, webcrawler: take input (urls) from a hbase table and put the content (urls,
content) back into hbase. 
> Running these kind of hbase mapreduce job with normal table mapper is quite slow as we
are not utilizing CPU fully (N/W IO Bound).
> Moreover, I want to know whether It would be a good/bad idea to use HBase for these kind
of usecases ?. 

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