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MapReduce >> mail # user >> RE: Distributed cache: how big is too big?


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Re: Distributed cache: how big is too big?
Hmmm.. maybe im missing something.. but (@bjorn) Why would you use hdfs as a replacement for the distributed cache?

After all - the distributed cache is just a file with replication over the whole cluster, which isn't in hdfs.  Cant you Just make the cache size big and store the file there?

What advantage is hdfs distribution of the file over all nodes  ?

On Apr 9, 2013, at 6:49 AM, Bjorn Jonsson <[EMAIL PROTECTED]> wrote:

> Put it once on hdfs with a replication factor equal to the number of DN. No startup latency on job submission or max size and access it from anywhere with fs since it sticks around untill you replace it? Just a thought.
>
> On Apr 8, 2013 9:59 PM, "John Meza" <[EMAIL PROTECTED]> wrote:
>> I am researching a Hadoop solution for an existing application that requires a directory structure full of data for processing.
>>
>> To make the Hadoop solution work I need to deploy the data directory to each DN when the job is executed.
>> I know this isn't new and commonly done with a Distributed Cache.
>>
>> Based on experience what are the common file sizes deployed in a Distributed Cache?
>> I know smaller is better, but how big is too big? the larger cache deployed I have read there will be startup latency. I also assume there are other factors that play into this.
>>
>> I know that->Default local.cache.size=10Gb
>>
>> -Range of desirable sizes for Distributed Cache= 10Kb - 1Gb??
>> -Distributed Cache is normally not used if larger than =____?
>>
>> Another Option: Put the data directories on each DN and provide location to TaskTracker?
>>
>> thanks
>> John
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