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fix broken in link in python docs #650

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@andyk andyk commented May 5, 2014

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Thanks Andy - I've merged this.

@asfgit asfgit closed this in c05d11b May 10, 2014
asfgit pushed a commit that referenced this pull request May 10, 2014
Author: Andy Konwinski <[email protected]>

Closes #650 from andyk/python-docs-link-fix and squashes the following commits:

a1f9d51 [Andy Konwinski] fix broken in link in python docs
(cherry picked from commit c05d11b)

Signed-off-by: Patrick Wendell <[email protected]>
pdeyhim pushed a commit to pdeyhim/spark-1 that referenced this pull request Jun 25, 2014
Author: Andy Konwinski <[email protected]>

Closes apache#650 from andyk/python-docs-link-fix and squashes the following commits:

a1f9d51 [Andy Konwinski] fix broken in link in python docs
agirish pushed a commit to HPEEzmeral/apache-spark that referenced this pull request May 5, 2022
* Update package.scala (apache#650)

* Update package.scala

- We need to change the API access point to use `InputDStream` instead of `DirectKafkaInputDStream` since this is private, but it extends `InputDStream`
- The same functionality is there and the same principles apply: We can commit offsets directly without the boilerplate code but as always, it can only be done on the original Stream and NOT in the transformations

* Update package.scala

* Branch 2.4.4 mapr offsets fix (apache#654)

* Update package.scala

- We need to change the API access point to use `InputDStream` instead of `DirectKafkaInputDStream` since this is private, but it extends `InputDStream`
- The same functionality is there and the same principles apply: We can commit offsets directly without the boilerplate code but as always, it can only be done on the original Stream and NOT in the transformations

* Update package.scala

* Using InputDStream of ConsumerRecord

Co-authored-by: Mikhail Gorbov <[email protected]>

Co-authored-by: Nicolas A Perez <[email protected]>
Co-authored-by: Mikhail Gorbov <[email protected]>
RolatZhang pushed a commit to RolatZhang/spark that referenced this pull request Aug 18, 2023
)

* Revert "Revert "KE-41874 Optimize Calcite plan to convert spark logical plan""

This reverts commit 59a9ba5.

* Revert "Revert "[SPARK-41732][SQL][SS] Apply tree-pattern based pruning for the rule SessionWindowing""

This reverts commit b13a975.

* Revert "Revert "[SPARK-39441][SQL] Speed up DeduplicateRelations""

This reverts commit 665dc0c.

* Columns that support special characters
RolatZhang pushed a commit to RolatZhang/spark that referenced this pull request Dec 8, 2023
)

* Revert "Revert "KE-41874 Optimize Calcite plan to convert spark logical plan""

This reverts commit 59a9ba5.

* Revert "Revert "[SPARK-41732][SQL][SS] Apply tree-pattern based pruning for the rule SessionWindowing""

This reverts commit b13a975.

* Revert "Revert "[SPARK-39441][SQL] Speed up DeduplicateRelations""

This reverts commit 665dc0c.

* Columns that support special characters
udaynpusa pushed a commit to mapr/spark that referenced this pull request Jan 30, 2024
* Update package.scala (apache#650)

* Update package.scala

- We need to change the API access point to use `InputDStream` instead of `DirectKafkaInputDStream` since this is private, but it extends `InputDStream`
- The same functionality is there and the same principles apply: We can commit offsets directly without the boilerplate code but as always, it can only be done on the original Stream and NOT in the transformations

* Update package.scala

* Branch 2.4.4 mapr offsets fix (apache#654)

* Update package.scala

- We need to change the API access point to use `InputDStream` instead of `DirectKafkaInputDStream` since this is private, but it extends `InputDStream`
- The same functionality is there and the same principles apply: We can commit offsets directly without the boilerplate code but as always, it can only be done on the original Stream and NOT in the transformations

* Update package.scala

* Using InputDStream of ConsumerRecord

Co-authored-by: Mikhail Gorbov <[email protected]>

Co-authored-by: Nicolas A Perez <[email protected]>
Co-authored-by: Mikhail Gorbov <[email protected]>
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3 participants