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https://issues.apache.org/jira/browse/GOBBLIN-865?focusedWorklogId=303317&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-303317
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ASF GitHub Bot logged work on GOBBLIN-865:
------------------------------------------

                Author: ASF GitHub Bot
            Created on: 29/Aug/19 01:26
            Start Date: 29/Aug/19 01:26
    Worklog Time Spent: 10m 
      Work Description: arekusuri commented on pull request #2722: GOBBLIN-865: 
Add feature that enables PK-chunking in partition
URL: https://github.com/apache/incubator-gobblin/pull/2722
 
 
   Dear Gobblin maintainers,
   
   Please accept this PR. I understand that it will not be reviewed until I 
have checked off all the steps below!
   
   
   ### JIRA
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JIRA](https://issues.apache.org/jira/browse/GOBBLIN/) issues and references 
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       - https://issues.apache.org/jira/browse/GOBBLIN-XXX
   
   
   ### Description
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applicable):
   
   
   ### Tests
   - [ ] My PR adds the following unit tests __OR__ does not need testing for 
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have squashed multiple commits if they address the same issue. In addition, my 
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 303317)
    Remaining Estimate: 0h
            Time Spent: 10m

> Add feature that enables PK-chunking in partition 
> --------------------------------------------------
>
>                 Key: GOBBLIN-865
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-865
>             Project: Apache Gobblin
>          Issue Type: Task
>            Reporter: Alex Li
>            Priority: Major
>              Labels: salesforce
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> In SFDC(salesforce) connector, we have partitioning mechanisms to split a 
> giant query to multiple sub queries. There are 3 mechanisms:
>  * simple partition (equally split by time)
>  * dynamic pre-partition (generate histogram and split by row numbers)
>  * user specified partition (set up time range in job file)
> However there are tables like Task and Contract are failing time to time to 
> fetch full data.
> We may want to utilize PK-chunking to partition the query.
>  
> The pk-chunking doc from SFDC - 
> [https://developer.salesforce.com/docs/atlas.en-us.api_asynch.meta/api_asynch/async_api_headers_enable_pk_chunking.htm]



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