Repository: spark
Updated Branches:
refs/heads/master 0fe54cff1 - 89f912264
[SPARK-4596][MLLib] Refactorize Normalizer to make code cleaner
In this refactoring, the performance will be slightly increased due to removing
the overhead from breeze vector. The bottleneck is still in breeze norm
Repository: spark
Updated Branches:
refs/heads/branch-1.2 1f4d1ac4b - 74571991b
[SPARK-4596][MLLib] Refactorize Normalizer to make code cleaner
In this refactoring, the performance will be slightly increased due to removing
the overhead from breeze vector. The bottleneck is still in breeze
Repository: spark
Updated Branches:
refs/heads/master 89f912264 - f515f9432
[SPARK-4526][MLLIB]GradientDescent get a wrong gradient value according to the
gradient formula.
This is caused by the miniBatchSize parameter.The number of `RDD.sample`
returns is not fixed.
cc mengxr
Author:
Repository: spark
Updated Branches:
refs/heads/branch-1.2 74571991b - d117f8fa4
[SPARK-4526][MLLIB]GradientDescent get a wrong gradient value according to the
gradient formula.
This is caused by the miniBatchSize parameter.The number of `RDD.sample`
returns is not fixed.
cc mengxr
Author:
Repository: spark
Updated Branches:
refs/heads/master f515f9432 - a51118a34
[SPARK-4535][Streaming] Fix the error in comments
change `NetworkInputDStream` to `ReceiverInputDStream`
change `ReceiverInputTracker` to `ReceiverTracker`
Author: q00251598 qiyad...@huawei.com
Closes #3400 from
Repository: spark
Updated Branches:
refs/heads/branch-1.2 d117f8fa4 - 42b9d0d31
[SPARK-4535][Streaming] Fix the error in comments
change `NetworkInputDStream` to `ReceiverInputDStream`
change `ReceiverInputTracker` to `ReceiverTracker`
Author: q00251598 qiyad...@huawei.com
Closes #3400 from
Repository: spark
Updated Branches:
refs/heads/master fef27b294 - d24076019
[SPARK-4344][DOCS] adding documentation on spark.yarn.user.classpath.first
The documentation for the two parameters is the same with a pointer from the
standalone parameter to the yarn parameter
Author: arahuja
Repository: spark
Updated Branches:
refs/heads/branch-1.2 b026546e3 - a689ab98d
[SPARK-4344][DOCS] adding documentation on spark.yarn.user.classpath.first
The documentation for the two parameters is the same with a pointer from the
standalone parameter to the yarn parameter
Author: arahuja
Repository: spark
Updated Branches:
refs/heads/branch-1.2 a689ab98d - 96f76fc40
[SPARK-4601][Streaming] Set correct call site for streaming jobs so that it is
displayed correctly on the Spark UI
When running the NetworkWordCount, the description of the word count jobs are
set as getCallsite
Repository: spark
Updated Branches:
refs/heads/master 69cd53eae - bf1a6aaac
[SPARK-4581][MLlib] Refactorize StandardScaler to improve the transformation
performance
The following optimizations are done to improve the StandardScaler model
transformation performance.
1) Covert Breeze dense
Repository: spark
Updated Branches:
refs/heads/branch-1.2 96f76fc40 - 1e356a8fa
[SPARK-4581][MLlib] Refactorize StandardScaler to improve the transformation
performance
The following optimizations are done to improve the StandardScaler model
transformation performance.
1) Covert Breeze
Repository: spark
Updated Branches:
refs/heads/master bf1a6aaac - 8838ad7c1
[SPARK-4196][SPARK-4602][Streaming] Fix serialization issue in
PairDStreamFunctions.saveAsNewAPIHadoopFiles
Solves two JIRAs in one shot
- Makes the ForechDStream created by saveAsNewAPIHadoopFiles serializable for
Repository: spark
Updated Branches:
refs/heads/branch-1.2 1e356a8fa - a9944c809
[SPARK-4196][SPARK-4602][Streaming] Fix serialization issue in
PairDStreamFunctions.saveAsNewAPIHadoopFiles
Solves two JIRAs in one shot
- Makes the ForechDStream created by saveAsNewAPIHadoopFiles serializable
Repository: spark
Updated Branches:
refs/heads/branch-1.1 63717375d - 7aa592c74
[SPARK-4196][SPARK-4602][Streaming] Fix serialization issue in
PairDStreamFunctions.saveAsNewAPIHadoopFiles
Solves two JIRAs in one shot
- Makes the ForechDStream created by saveAsNewAPIHadoopFiles serializable
Repository: spark
Updated Branches:
refs/heads/branch-1.2 a9944c809 - a2c01ae5e
[HOTFIX] Fixing broken build due to missing imports.
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[HOTFIX] Fixing broken build due to missing imports.
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[SPARK-4592] Avoid duplicate worker registrations in standalone mode
**Summary.** On failover, the Master may receive duplicate registrations from
the same worker, causing the worker to exit. This is caused by
Repository: spark
Updated Branches:
refs/heads/master 1b2ab1cd1 - 9afcbe494
[SPARK-4546] Improve HistoryServer first time user experience
The documentation points the user to run the following
```
sbin/start-history-server.sh
```
The first thing this does is throw an exception that complains
Repository: spark
Updated Branches:
refs/heads/branch-1.2 ee0317509 - 58c840dde
[SPARK-4546] Improve HistoryServer first time user experience
The documentation points the user to run the following
```
sbin/start-history-server.sh
```
The first thing this does is throw an exception that
Repository: spark
Updated Branches:
refs/heads/branch-1.2 58c840dde - 93b914df1
Fix SPARK-4471: blockManagerIdFromJson function throws exception while B...
Fix [SPARK-4471](https://issues.apache.org/jira/browse/SPARK-4471):
blockManagerIdFromJson function throws exception while
Repository: spark
Updated Branches:
refs/heads/master 9afcbe494 - 9bdf5da59
Fix SPARK-4471: blockManagerIdFromJson function throws exception while B...
Fix [SPARK-4471](https://issues.apache.org/jira/browse/SPARK-4471):
blockManagerIdFromJson function throws exception while BlockManagerId be
Repository: spark
Updated Branches:
refs/heads/master 9bdf5da59 - 7eba0fbe4
[Spark-4509] Revert EC2 tag-based cluster membership patch
This PR reverts changes related to tag-based cluster membership. As discussed
in SPARK-3332, we didn't figure out a safe strategy to use tags to determine
Repository: spark
Updated Branches:
refs/heads/branch-1.2 93b914df1 - a48ea3cef
[Spark-4509] Revert EC2 tag-based cluster membership patch
This PR reverts changes related to tag-based cluster membership. As discussed
in SPARK-3332, we didn't figure out a safe strategy to use tags to
Repository: spark
Updated Branches:
refs/heads/branch-1.2 a48ea3cef - 6880b467f
[SPARK-4583] [mllib] LogLoss for GradientBoostedTrees fix + doc updates
Currently, the LogLoss used by GradientBoostedTrees has 2 issues:
* the gradient (and therefore loss) does not match that used by Friedman
Repository: spark
Updated Branches:
refs/heads/master 7eba0fbe4 - c251fd740
[SPARK-4583] [mllib] LogLoss for GradientBoostedTrees fix + doc updates
Currently, the LogLoss used by GradientBoostedTrees has 2 issues:
* the gradient (and therefore loss) does not match that used by Friedman (1999)
Repository: spark
Updated Branches:
refs/heads/branch-1.2 6880b467f - 37d58aaac
[HOTFIX]: Adding back without-hive dist
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[SPARK-4604][MLLIB] make MatrixFactorizationModel public
User could construct an MF model directly. I added a note about the performance.
Author: Xiangrui Meng m...@databricks.com
Closes #3459 from
Repository: spark
Updated Branches:
refs/heads/master 4d95526a7 - b5fb1410c
[SPARK-4604][MLLIB] make MatrixFactorizationModel public
User could construct an MF model directly. I added a note about the performance.
Author: Xiangrui Meng m...@databricks.com
Closes #3459 from mengxr/SPARK-4604
Author: andrewor14
Date: Wed Nov 26 04:18:17 2014
New Revision: 7261
Log:
Remove Spark 1.1.1 *without-hive artifacts
Removed:
release/spark/spark-1.1.1/spark-1.1.1-bin-hadoop2.4-without-hive.tgz
release/spark/spark-1.1.1/spark-1.1.1-bin-hadoop2.4-without-hive.tgz.asc
Repository: spark
Updated Branches:
refs/heads/master b5fb1410c - f5f2d2738
[SPARK-4516] Cap default number of Netty threads at 8
In practice, only 2-4 cores should be required to transfer roughly 10 Gb/s, and
each core that we use will have an initial overhead of roughly 32 MB of
off-heap
Repository: spark
Updated Branches:
refs/heads/branch-1.2 2756d0de9 - 1e12f594b
[SPARK-4516] Cap default number of Netty threads at 8
In practice, only 2-4 cores should be required to transfer roughly 10 Gb/s, and
each core that we use will have an initial overhead of roughly 32 MB of
Repository: spark
Updated Branches:
refs/heads/branch-1.2 1e12f594b - 01271786e
Revert Preparing development version 1.2.1-SNAPSHOT
This reverts commit d7ac6013483e83caff8ea54c228f37aeca159db8.
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Revert Preparing Spark release v1.2.0-snapshot1
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Revert Preparing development version 1.2.1-SNAPSHOT
This reverts commit d7b1ecb25676d228deb6fe05efdb4e2ab9c3e30b.
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Revert Preparing development version 1.2.1-SNAPSHOT
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HOTFIX: Updating additional version data
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[SPARK-4516] Avoid allocating Netty PooledByteBufAllocators unnecessarily
Turns out we are allocating an allocator pool for every TransportClient (which
means that the number increases with the number of nodes in the
Repository: spark
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[SPARK-4516] Avoid allocating Netty PooledByteBufAllocators unnecessarily
Turns out we are allocating an allocator pool for every TransportClient (which
means that the number increases with the number of nodes in
Revert Preparing Spark release v1.2.0-rc1
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Revert Preparing development version 1.2.1-SNAPSHOT
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Revert [SPARK-4583] [mllib] LogLoss for GradientBoostedTrees fix + doc updates
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