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https://issues.apache.org/jira/browse/BEAM-7450?focusedWorklogId=259066&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-259066
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ASF GitHub Bot logged work on BEAM-7450:
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Author: ASF GitHub Bot
Created on: 12/Jun/19 20:51
Start Date: 12/Jun/19 20:51
Worklog Time Spent: 10m
Work Description: jhalaria commented on issue #8718: [BEAM-7450] Add an
unbounded HcatalogIO reader using splittable pardo
URL: https://github.com/apache/beam/pull/8718#issuecomment-501450607
Hey @jkff , Thank you for your suggestion. It would definitely make this a
lot simpler. I just wanted to make sure that I understand your overall solution
correctly:
- Add a simple Watch transform that outputs all partitions List<Partitions>
whenever it gets invoked. Signature of Transform
```java
PartitionWatcher extends PollFn<HCatalogIO.Read, List<Partition>> ```
- A DoFn that will invoke HcatalogIO.read with a filter condition added that
can read the partitions.
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Issue Time Tracking
-------------------
Worklog Id: (was: 259066)
Time Spent: 5.5h (was: 5h 20m)
> Unbounded HCatalogIO Reader using splittable pardos
> ---------------------------------------------------
>
> Key: BEAM-7450
> URL: https://issues.apache.org/jira/browse/BEAM-7450
> Project: Beam
> Issue Type: New Feature
> Components: sdk-java-core
> Reporter: Ankit Jhalaria
> Assignee: Ankit Jhalaria
> Priority: Minor
> Time Spent: 5.5h
> Remaining Estimate: 0h
>
> # Current version of HcatalogIO is a bounded source.
> # While migrating our jobs to aws, we realized that it would be helpful to
> have an unbounded hcat reader that can behave as an unbounded source and
> polls for new partitions as and when they become available.
> # I have used splittable pardo(s) to do this. There is a flag that can be
> set to treat this as a bounded source which will terminate if that flag is
> set.
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