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These classes are only serializable to work around closure capture, so their fields should all be marked @transient to avoid wasteful serialization.

This PR supersedes #519 and fixes the same bug.

These classes are only serializable to work around closure capture, so
their fields should all be marked `@transient` to avoid wasteful serialization.
@ankurdave ankurdave changed the title Mark all fields of EdgePartition, Graph, and GraphOps @transient Mark all fields of EdgePartition, Graph, and GraphOps transient Apr 24, 2014
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All automated tests passed.
Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/14418/

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cc @rxin

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rxin commented Apr 24, 2014

Thanks. Merged.

asfgit pushed a commit that referenced this pull request Apr 24, 2014
These classes are only serializable to work around closure capture, so their fields should all be marked `@transient` to avoid wasteful serialization.

This PR supersedes #519 and fixes the same bug.

Author: Ankur Dave <[email protected]>

Closes #520 from ankurdave/graphx-transient and squashes the following commits:

6431760 [Ankur Dave] Mark all fields of EdgePartition, Graph, and GraphOps `@transient`

(cherry picked from commit 1d6abe3)
Signed-off-by: Reynold Xin <[email protected]>
@asfgit asfgit closed this in 1d6abe3 Apr 24, 2014
pdeyhim pushed a commit to pdeyhim/spark-1 that referenced this pull request Jun 25, 2014
These classes are only serializable to work around closure capture, so their fields should all be marked `@transient` to avoid wasteful serialization.

This PR supersedes apache#519 and fixes the same bug.

Author: Ankur Dave <[email protected]>

Closes apache#520 from ankurdave/graphx-transient and squashes the following commits:

6431760 [Ankur Dave] Mark all fields of EdgePartition, Graph, and GraphOps `@transient`
yifeih pushed a commit to yifeih/spark that referenced this pull request May 8, 2019
squito pushed a commit to squito/spark that referenced this pull request Jul 18, 2019
Introduces the new Shuffle Writer API. Ported from bloomberg#5.
bzhaoopenstack pushed a commit to bzhaoopenstack/spark that referenced this pull request Sep 11, 2019
As we use VMs with CPUs resources to run the tensorflow benchmarks, it
will be very slow, we only care about the scheduling performances
between kubeflow and volcano, so we can reduce the bacthes of training
examples in the Tensorflow benchmarks to save time.
arjunshroff pushed a commit to arjunshroff/spark that referenced this pull request Nov 24, 2020
* MapR [SPARK-566] Move absent commits from 2.4.0 branch
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3 participants