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From "ASF GitHub Bot (Jira)" <j...@apache.org>
Subject [jira] [Work logged] (GOBBLIN-865) Add feature that enables PK-chunking in partition
Date Fri, 13 Sep 2019 22:18:00 GMT

     [ https://issues.apache.org/jira/browse/GOBBLIN-865?focusedWorklogId=312402&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-312402
]

ASF GitHub Bot logged work on GOBBLIN-865:
------------------------------------------

                Author: ASF GitHub Bot
            Created on: 13/Sep/19 22:17
            Start Date: 13/Sep/19 22:17
    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#discussion_r324385831
 
 

 ##########
 File path: gobblin-salesforce/src/main/java/org/apache/gobblin/salesforce/SalesforceSource.java
 ##########
 @@ -146,12 +156,98 @@ protected void addLineageSourceInfo(SourceState sourceState, SourceEntity
entity
 
   @Override
   protected List<WorkUnit> generateWorkUnits(SourceEntity sourceEntity, SourceState
state, long previousWatermark) {
+    String partitionType = state.getProp(PARTITION_TYPE, "");
+    if (partitionType.equals("PK_CHUNKING")) {
+      return generateWorkUnitsPkChunking(sourceEntity, state, previousWatermark);
 
 Review comment:
   Thanks, will add it!
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 312402)
    Time Spent: 4.5h  (was: 4h 20m)

> 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: 4.5h
>  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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