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https://issues.apache.org/jira/browse/GOBBLIN-865?focusedWorklogId=316989&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-316989
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ASF GitHub Bot logged work on GOBBLIN-865:
------------------------------------------
Author: ASF GitHub Bot
Created on: 23/Sep/19 21:43
Start Date: 23/Sep/19 21:43
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_r327343275
##########
File path:
gobblin-salesforce/src/main/java/org/apache/gobblin/salesforce/SalesforceExtractor.java
##########
@@ -869,7 +862,7 @@ public SalesforceBulkJobId
getQueryResultIdsPkChunking(String entity, List<Predi
// wait for completion, failure, or formation of PK chunking batches
while ((bulkBatchInfo.getState() != BatchStateEnum.Completed)
&& (bulkBatchInfo.getState() != BatchStateEnum.Failed)
- && (!usingPkChunking || bulkBatchInfo.getState() !=
BatchStateEnum.NotProcessed)) {
+ && (bulkBatchInfo.getState() != BatchStateEnum.NotProcessed)) {
Review comment:
added code to regard NotProcessed as failed for non-pk-chunking bulk request.
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Issue Time Tracking
-------------------
Worklog Id: (was: 316989)
Time Spent: 9h (was: 8h 50m)
> 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: 9h
> 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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