Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
Awesome. Thanks @budde @brkyvz for reviews and patch improvements.
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Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/17467
LGTM! Merging to master/branch-2.2
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde @brkyvz - Any feed back on this one please ?
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
Thanks for all the review comments @budde @brkyvz . Added new review
changes.
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Github user budde commented on the issue:
https://github.com/apache/spark/pull/17467
Fair enough. I took another look and I think I may have been thinking of
the way things worked in an earlier revision of this code. I think the case
class is reasonable.
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Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/17467
I really prefer the case class. It's used in places where we don't pass in
`SparkContext` as well
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
Thanks for the comments @budde @brkyvz . Would be adding the changes soon.
I too liked pulling the values of spark conf directly and got it working
with the private val in `KinesisBackedBlockRDD
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@brkyvz - Thanks for the review comments. Updated the patch, please review.
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Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/17467
@yssharma left some comments
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde would you like to share your thoughts on the new changes when you
have time ?
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@brkyvz - Added new changes that adds -
- A case class `KinesisReadConfigurations` that adds all the kinesis read
configs in a single place
- A test class that passes the kinesis configs in
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@felixcheung : would love to get more review comments to improve the patch.
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde - Added changes for the minor review comments and docs.
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/17467
@brkyvz are you ok with this PR at a high level? If yes, I could help with
review and shepherd this
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Github user budde commented on the issue:
https://github.com/apache/spark/pull/17467
@yssharma Fair enough. I'll try to get your update reviewed later today
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde - Not sure if we can exactly test the configured timeouts. I have
debugged the flow in my testcase to verify that the custom values are passed
down to the Kinesis backed block rdd.
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde : Implemented review changes and checked scala code style checks
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde @brkyvz - Implemented the review changes. Please review.
- Using SparkConf for all the user parameters
- removed kinesisWait to be val instead of var
- fixed documentation
-
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@budde - thanks for taking time to review it. Appreciate it.
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Github user budde commented on the issue:
https://github.com/apache/spark/pull/17467
Not a Spark committer, but I've contributed to this component in the past.
I would strongly prefer an approach that avoids adding an additional parameter
to all of the Kinesis classes if the ```SparkC
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
Waiting for review @brkyvz . Thanks.
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
Just for info, while trying to use the `sc` in the `KinesisBackedBlockRDD `
:
`- Basic reading from Kinesis *** FAILED ***
org.apache.spark.SparkException: Task not serializable
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@brkyvz - thanks for taking time to review the patch. appreciate it.
Implemented all your suggestions. Now passing a new map for the kinesis
configs and added mechanism to use the builder for th
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@srowen - Could I get some love here as well. Thanks
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17467
**[Test build #3634 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/3634/testReport)**
for PR 17467 at commit
[`ccb6c19`](https://github.com/apache/spark/commit/
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17467
**[Test build #3634 has
started](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/3634/testReport)**
for PR 17467 at commit
[`ccb6c19`](https://github.com/apache/spark/commit/c
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
Can I get some feedback here please @tdas @brkyvz Thanks :)
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@tdas @brkyvz
- Added new changes for removing other constants hardcoded at multiple
places.
- Squashed 3 commits into single commit
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Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
You're a gen @HyukjinKwon ð¯ . I will wait for Tathagata and Burak's
inputs then :)
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17467
I am not used to Kinesis. I usually click blame button and check both the
recent code modifier and committer, e.g.,
https://github.com/yssharma/spark/blame/4b589adeaef540f6227266ecc628ad41ef0733
Github user yssharma commented on the issue:
https://github.com/apache/spark/pull/17467
@HyukjinKwon What should be the next steps for this PR. Are there any
Spark-Kinesis experts who can review the patch ?
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