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https://issues.apache.org/jira/browse/GOBBLIN-865?focusedWorklogId=312399&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-312399
]
ASF GitHub Bot logged work on GOBBLIN-865:
------------------------------------------
Author: ASF GitHub Bot
Created on: 13/Sep/19 22:09
Start Date: 13/Sep/19 22:09
Worklog Time Spent: 10m
Work Description: zxcware 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_r324384004
##########
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:
This is where to comment the right use cases to enable `PK_CHUNKING`, as
it's the entry point
```
// pk-chunking only supports start-time by
source.querybased.start.value, and does not support end-time.
// always ingest data later than or equal
source.querybased.start.value.
// we should only pk chunking based work units only in case of
snapshot/full ingestion
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 312399)
Time Spent: 4h 10m (was: 4h)
> 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: 4h 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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