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https://issues.apache.org/jira/browse/PIG-3642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheolsoo Park updated PIG-3642:
-------------------------------
Release Note:
When the DUMP operator is used to execute Pig Latin statements, Pig can take
the advantage to minimize latency by directly reading data from HDFS rather
than launching MapReduce jobs.
Direct fetch is turned on by default. To turn it off set the property opt.fetch
to false or start Pig with the "-N" or "-no_fetch" option.
> Direct HDFS access for small jobs (fetch)
> ------------------------------------------
>
> Key: PIG-3642
> URL: https://issues.apache.org/jira/browse/PIG-3642
> Project: Pig
> Issue Type: Improvement
> Reporter: Lorand Bendig
> Assignee: Lorand Bendig
> Fix For: 0.13.0
>
> Attachments: PIG-3642-3.patch, PIG-3642-4.patch, PIG-3642-5.patch,
> PIG-3642-6.patch, PIG-3642.patch
>
>
> With this patch I'd like to add the possibility to directly read data from
> HDFS instead of launching MR jobs in case of simple (map-only) tasks. Hive
> already has this feature (fetch). This patch shares some similarities with
> the local mode of Pig 0.6. Here, fetching kicks off when the following holds
> for a script:
> * it contains only LIMIT, FILTER, UNION (if no split is generated), STREAM,
> (nested) FOREACH with expression operators, custom UDFs..etc
> * no scalar aliases
> * no SampleLoader
> * single leaf job
> * DUMP (no STORE)
> The feature is enabled by default and can be toggled with:
> * -N or -no_fetch
> * set opt.fetch true/false;
> There's no STORE support because I wanted to make it explicit that this
> "optimization" is for launching small/simple scripts during development,
> rather than querying and filtering large number of rows on the client
> machine. However, a threshold could be given on the input size (an
> estimation) to determine whether to prefer fetch over MR jobs, similar to
> what Hive's '{{hive.fetch.task.conversion.threshold}}' does. (through Pig's
> LoadMetadata#getStatistic ?)
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