Add note on building a runnable distribution with make-distribution.sh
Author: Sean Owen <sowen@cloudera.com>
Closes#6186 from srowen/SPARK-4556 and squashes the following commits:
4002966 [Sean Owen] Add pointer to --help flag
9fa7883 [Sean Owen] Add note on building a runnable distribution with make-distribution.sh
JIRA: https://issues.apache.org/jira/browse/SPARK-7556
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#6116 from viirya/binarizer_doc and squashes the following commits:
40cb677 [Liang-Chi Hsieh] Better print out.
5b7ef1d [Liang-Chi Hsieh] Make examples more clear.
1bf9c09 [Liang-Chi Hsieh] For comments.
6cf8cba [Liang-Chi Hsieh] Add user guide for Binarizer.
Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons.
Changes proposed by vanzin resulting from previous pull-request https://github.com/apache/spark/pull/5783 that did not fixed the problem correctly.
Please let me know if this is the correct way of doing this, the comments of vanzin are in the pull-request mentioned.
Author: FavioVazquez <favio.vazquezp@gmail.com>
Closes#5786 from FavioVazquez/update-hadoop-dependencies and squashes the following commits:
11670e5 [FavioVazquez] - Added missing instance of -Phadoop-2.2 in create-release.sh
379f50d [FavioVazquez] - Added instances of -Phadoop-2.2 in create-release.sh, run-tests, scalastyle and building-spark.md - Reconstructed docs to not ask users to rely on default behavior
3f9249d [FavioVazquez] Merge branch 'master' of https://github.com/apache/spark into update-hadoop-dependencies
31bdafa [FavioVazquez] - Added missing instances in -Phadoop-1 in create-release.sh, run-tests and in the building-spark documentation
cbb93e8 [FavioVazquez] - Added comment related to SPARK-3710 about hadoop-yarn-server-tests in Hadoop 2.2 that fails to pull some needed dependencies
83dc332 [FavioVazquez] - Cleaned up the main POM concerning the yarn profile - Erased hadoop-2.2 profile from yarn/pom.xml and its content was integrated into yarn/pom.xml
93f7624 [FavioVazquez] - Deleted unnecessary comments and <activation> tag on the YARN profile in the main POM
668d126 [FavioVazquez] - Moved <dependencies> <activation> and <properties> sections of the hadoop-2.2 profile in the YARN POM to the YARN profile in the root POM - Erased unnecessary hadoop-2.2 profile from the YARN POM
fda6a51 [FavioVazquez] - Updated hadoop1 releases in create-release.sh due to changes in the default hadoop version set - Erased unnecessary instance of -Dyarn.version=2.2.0 in create-release.sh - Prettify comment in yarn/pom.xml
0470587 [FavioVazquez] - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in create-release.sh - Updated how the releases are made in the create-release.sh no that the default hadoop version is the 2.2.0 - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in scalastyle - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in run-tests - Better example given in the hadoop-third-party-distributions.md now that the default hadoop version is 2.2.0
a650779 [FavioVazquez] - Default value of avro.mapred.classifier has been set to hadoop2 in pom.xml - Cleaned up hadoop-2.3 and 2.4 profiles due to change in the default set in avro.mapred.classifier in pom.xml
199f40b [FavioVazquez] - Erased unnecessary CDH5-specific note in docs/building-spark.md - Remove example of instance -Phadoop-2.2 -Dhadoop.version=2.2.0 in docs/building-spark.md - Enabled hadoop-2.2 profile when the Hadoop version is 2.2.0, which is now the default .Added comment in the yarn/pom.xml to specify that.
88a8b88 [FavioVazquez] - Simplified Hadoop profiles due to new setting of global properties in the pom.xml file - Added comment to specify that the hadoop-2.2 profile is now the default hadoop profile in the pom.xml file - Erased hadoop-2.2 from related hadoop profiles now that is a no-op in the make-distribution.sh file
70b8344 [FavioVazquez] - Fixed typo in the make-distribution.sh file and added hadoop-1 in the Related profiles
287fa2f [FavioVazquez] - Updated documentation about specifying the hadoop version in building-spark. Now is clear that Spark will build against Hadoop 2.2.0 by default. - Added Cloudera CDH 5.3.3 without MapReduce example in the building-spark doc.
1354292 [FavioVazquez] - Fixed hadoop-1 version to match jenkins build profile in hadoop1.0 tests and documentation
6b4bfaf [FavioVazquez] - Cleanup in hadoop-2.x profiles since they contained mostly redundant stuff.
7e9955d [FavioVazquez] - Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons
660decc [FavioVazquez] - Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons
ec91ce3 [FavioVazquez] - Updated protobuf-java version of com.google.protobuf dependancy to fix blocking error when connecting to HDFS via the Hadoop Cloudera HDFS CDH5 (fix for 2.5.0-cdh5.3.3 version)
Added feature transformer subsection to spark.ml guide, with HashingTF and Tokenizer. Added JavaHashingTFSuite to test Java examples in new guide.
I've run Scala, Python examples in the Spark/PySpark shells. I ran the Java examples via the test suite (with small modifications for printing).
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#6093 from jkbradley/hashingtf-guide and squashes the following commits:
d5d213f [Joseph K. Bradley] small fix
dd6e91a [Joseph K. Bradley] fixes from code review of user guide
33c3ff9 [Joseph K. Bradley] small fix
bc6058c [Joseph K. Bradley] fix link
361a174 [Joseph K. Bradley] Added subsection for feature transformers to spark.ml guide, with HashingTF and Tokenizer. Added JavaHashingTFSuite to test Java examples in new guide
jira: https://issues.apache.org/jira/browse/SPARK-7496
Update LDA subsection of clustering section of MLlib programming guide to include OnlineLDA.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#6046 from hhbyyh/ldaDocument and squashes the following commits:
4b6fbfa [Yuhao Yang] add online paper and some comparison
fd4c983 [Yuhao Yang] update lda document for optimizers
add docs for https://issues.apache.org/jira/browse/SPARK-6994
Author: vidmantas zemleris <vidmantas@vinted.com>
Closes#6030 from vidma/docs/row-with-named-fields and squashes the following commits:
241b401 [vidmantas zemleris] [SPARK-6994][SQL] Update docs for fetching Row fields by name
Author: Reynold Xin <rxin@databricks.com>
Closes#6062 from rxin/agg-retain-doc and squashes the following commits:
43e511e [Reynold Xin] [SPARK-7462][SQL] Update documentation for retaining grouping columns in DataFrames.
JIRA: https://issues.apache.org/jira/browse/SPARK-7516
In sql-programming-guide, deprecated python data frame api inferSchema() should be replaced by createDataFrame():
schemaPeople = sqlContext.inferSchema(people) ->
schemaPeople = sqlContext.createDataFrame(people)
Author: gchen <chenguancheng@gmail.com>
Closes#6041 from gchen/python-docs and squashes the following commits:
c27eb7c [gchen] replace inferSchema() with createDataFrame()
Now PySpark on YARN with cluster mode is supported so let's update doc.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes#6040 from sarutak/update-doc-for-pyspark-on-yarn and squashes the following commits:
ad9f88c [Kousuke Saruta] Brushed up sentences
469fd2e [Kousuke Saruta] Merge branch 'master' of https://github.com/apache/spark into update-doc-for-pyspark-on-yarn
fcfdb92 [Kousuke Saruta] Updated doc for PySpark on YARN with cluster mode
This is difficult to write a test for because it relies on the latest version of YARN, but I verified manually that the patch does pass along the label expression on this version and containers are successfully launched.
Author: Sandy Ryza <sandy@cloudera.com>
Closes#5242 from sryza/sandy-spark-6470 and squashes the following commits:
6af87b9 [Sandy Ryza] Change info to warning
6e22d99 [Sandy Ryza] [YARN] SPARK-6470. Add support for YARN node labels.
I implement a simple PCA wrapper for easy transform of vectors by PCA for example LabeledPoint or another complicated structure.
Example of usage:
```
import org.apache.spark.mllib.regression.LinearRegressionWithSGD
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.feature.PCA
val data = sc.textFile("data/mllib/ridge-data/lpsa.data").map { line =>
val parts = line.split(',')
LabeledPoint(parts(0).toDouble, Vectors.dense(parts(1).split(' ').map(_.toDouble)))
}.cache()
val splits = data.randomSplit(Array(0.6, 0.4), seed = 11L)
val training = splits(0).cache()
val test = splits(1)
val pca = PCA.create(training.first().features.size/2, data.map(_.features))
val training_pca = training.map(p => p.copy(features = pca.transform(p.features)))
val test_pca = test.map(p => p.copy(features = pca.transform(p.features)))
val numIterations = 100
val model = LinearRegressionWithSGD.train(training, numIterations)
val model_pca = LinearRegressionWithSGD.train(training_pca, numIterations)
val valuesAndPreds = test.map { point =>
val score = model.predict(point.features)
(score, point.label)
}
val valuesAndPreds_pca = test_pca.map { point =>
val score = model_pca.predict(point.features)
(score, point.label)
}
val MSE = valuesAndPreds.map{case(v, p) => math.pow((v - p), 2)}.mean()
val MSE_pca = valuesAndPreds_pca.map{case(v, p) => math.pow((v - p), 2)}.mean()
println("Mean Squared Error = " + MSE)
println("PCA Mean Squared Error = " + MSE_pca)
```
Author: Kirill A. Korinskiy <catap@catap.ru>
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#4304 from catap/pca and squashes the following commits:
501bcd9 [Joseph K. Bradley] Small updates: removed k from Java-friendly PCA fit(). In PCASuite, converted results to set for comparison. Added an error message for bad k in PCA.
9dcc02b [Kirill A. Korinskiy] [SPARK-5521] fix scala style
1892a06 [Kirill A. Korinskiy] [SPARK-5521] PCA wrapper for easy transform vectors
A little fix about wrong url of the API document. (org.apache.spark.streaming.scheduler.StreamingListener)
Author: dobashim <dobashim@oss.nttdata.co.jp>
Closes#6024 from dobashim/master and squashes the following commits:
ac9a955 [dobashim] [STREAMING][DOCS] Fix wrong url about API docs of StreamingListener
Exposes data available in the UI as json over http. Key points:
* new endpoints, handled independently of existing XyzPage classes. Root entrypoint is `JsonRootResource`
* Uses jersey + jackson for routing & converting POJOs into json
* tests against known results in `HistoryServerSuite`
* also fixes some minor issues w/ the UI -- synchronizing on access to `StorageListener` & `StorageStatusListener`, and fixing some inconsistencies w/ the way we handle retained jobs & stages.
Author: Imran Rashid <irashid@cloudera.com>
Closes#5940 from squito/SPARK-3454_better_test_files and squashes the following commits:
1a72ed6 [Imran Rashid] rats
85fdb3e [Imran Rashid] Merge branch 'no_php' into SPARK-3454
1fc65b0 [Imran Rashid] Revert "Revert "[SPARK-3454] separate json endpoints for data in the UI""
1276900 [Imran Rashid] get rid of giant event file, replace w/ smaller one; check both shuffle read & shuffle write
4e12013 [Imran Rashid] just use test case name for expectation file name
863ef64 [Imran Rashid] rename json files to avoid strange file names and not look like php
The default value will be changed to `1000` in #5533. So here I just used `1000`.
Author: zsxwing <zsxwing@gmail.com>
Closes#5899 from zsxwing/SPARK-7351 and squashes the following commits:
e1ec515 [zsxwing] [SPARK-7351][Streaming][Docs] Add spark.streaming.ui.retainedBatches to docs
Exposes data available in the UI as json over http. Key points:
* new endpoints, handled independently of existing XyzPage classes. Root entrypoint is `JsonRootResource`
* Uses jersey + jackson for routing & converting POJOs into json
* tests against known results in `HistoryServerSuite`
* also fixes some minor issues w/ the UI -- synchronizing on access to `StorageListener` & `StorageStatusListener`, and fixing some inconsistencies w/ the way we handle retained jobs & stages.
Author: Imran Rashid <irashid@cloudera.com>
Closes#4435 from squito/SPARK-3454 and squashes the following commits:
da1e35f [Imran Rashid] typos etc.
5e78b4f [Imran Rashid] fix rendering problems
5ae02ad [Imran Rashid] Merge branch 'master' into SPARK-3454
f016182 [Imran Rashid] change all constructors json-pojo class constructors to be private[spark] to protect us from mima-false-positives if we add fields
3347b72 [Imran Rashid] mark EnumUtil as @Private
ec140a2 [Imran Rashid] create @Private
cc1febf [Imran Rashid] add docs on the metrics-as-json api
cbaf287 [Imran Rashid] Merge branch 'master' into SPARK-3454
56db31e [Imran Rashid] update tests for mulit-attempt
7f3bc4e [Imran Rashid] Revert "add sbt-revolved plugin, to make it easier to start & stop http servers in sbt"
67008b4 [Imran Rashid] rats
9e51400 [Imran Rashid] style
c9bae1c [Imran Rashid] handle multiple attempts per app
b87cd63 [Imran Rashid] add sbt-revolved plugin, to make it easier to start & stop http servers in sbt
188762c [Imran Rashid] multi-attempt
2af11e5 [Imran Rashid] Merge branch 'master' into SPARK-3454
befff0c [Imran Rashid] review feedback
14ac3ed [Imran Rashid] jersey-core needs to be explicit; move version & scope to parent pom.xml
f90680e [Imran Rashid] Merge branch 'master' into SPARK-3454
dc8a7fe [Imran Rashid] style, fix errant comments
acb7ef6 [Imran Rashid] fix indentation
7bf1811 [Imran Rashid] move MetricHelper so mima doesnt think its exposed; comments
9d889d6 [Imran Rashid] undo some unnecessary changes
f48a7b0 [Imran Rashid] docs
52bbae8 [Imran Rashid] StorageListener & StorageStatusListener needs to synchronize internally to be thread-safe
31c79ce [Imran Rashid] asm no longer needed for SPARK_PREPEND_CLASSES
b2f8b91 [Imran Rashid] @DeveloperApi
2e19be2 [Imran Rashid] lazily convert ApplicationInfo to avoid memory overhead
ba3d9d2 [Imran Rashid] upper case enums
39ac29c [Imran Rashid] move EnumUtil
d2bde77 [Imran Rashid] update error handling & scoping
4a234d3 [Imran Rashid] avoid jersey-media-json-jackson b/c of potential version conflicts
a157a2f [Imran Rashid] style
7bd4d15 [Imran Rashid] delete security test, since it doesnt do anything
a325563 [Imran Rashid] style
a9c5cf1 [Imran Rashid] undo changes superceeded by master
0c6f968 [Imran Rashid] update deps
1ed0d07 [Imran Rashid] Merge branch 'master' into SPARK-3454
4c92af6 [Imran Rashid] style
f2e63ad [Imran Rashid] Merge branch 'master' into SPARK-3454
c22b11f [Imran Rashid] fix compile error
9ea682c [Imran Rashid] go back to good ol' java enums
cf86175 [Imran Rashid] style
d493b38 [Imran Rashid] Merge branch 'master' into SPARK-3454
f05ae89 [Imran Rashid] add in ExecutorSummaryInfo for MiMa :(
101a698 [Imran Rashid] style
d2ef58d [Imran Rashid] revert changes that had HistoryServer refresh the application listing more often
b136e39b [Imran Rashid] Revert "add sbt-revolved plugin, to make it easier to start & stop http servers in sbt"
e031719 [Imran Rashid] fixes from review
1f53a66 [Imran Rashid] style
b4a7863 [Imran Rashid] fix compile error
2c8b7ee [Imran Rashid] rats
1578a4a [Imran Rashid] doc
674f8dc [Imran Rashid] more explicit about total numbers of jobs & stages vs. number retained
9922be0 [Imran Rashid] Merge branch 'master' into stage_distributions
f5a5196 [Imran Rashid] undo removal of renderJson from MasterPage, since there is no substitute yet
db61211 [Imran Rashid] get JobProgressListener directly from UI
fdfc181 [Imran Rashid] stage/taskList
63eb4a6 [Imran Rashid] tests for taskSummary
ad27de8 [Imran Rashid] error handling on quantile values
b2efcaf [Imran Rashid] cleanup, combine stage-related paths into one resource
aaba896 [Imran Rashid] wire up task summary
a4b1397 [Imran Rashid] stage metric distributions
e48ba32 [Imran Rashid] rename
eaf3bbb [Imran Rashid] style
25cd894 [Imran Rashid] if only given day, assume GMT
51eaedb [Imran Rashid] more visibility fixes
9f28b7e [Imran Rashid] ack, more cleanup
99764e1 [Imran Rashid] Merge branch 'SPARK-3454_w_jersey' into SPARK-3454
a61a43c [Imran Rashid] oops, remove accidental checkin
a066055 [Imran Rashid] set visibility on a lot of classes
1f361c8 [Imran Rashid] update rat-excludes
0be5120 [Imran Rashid] Merge branch 'master' into SPARK-3454_w_jersey
2382bef [Imran Rashid] switch to using new "enum"
fef6605 [Imran Rashid] some utils for working w/ new "enum" format
dbfc7bf [Imran Rashid] style
b86bcb0 [Imran Rashid] update test to look at one stage attempt
5f9df24 [Imran Rashid] style
7fd156a [Imran Rashid] refactor jsonDiff to avoid code duplication
73f1378 [Imran Rashid] test json; also add test cases for cleaned stages & jobs
97d411f [Imran Rashid] json endpoint for one job
0c96147 [Imran Rashid] better error msgs for bad stageId vs bad attemptId
dddbd29 [Imran Rashid] stages have attempt; jobs are sorted; resource for all attempts for one stage
190c17a [Imran Rashid] StagePage should distinguish no task data, from unknown stage
84cd497 [Imran Rashid] AllJobsPage should still report correct completed & failed job count, even if some have been cleaned, to make it consistent w/ AllStagesPage
36e4062 [Imran Rashid] SparkUI needs to know about startTime, so it can list its own applicationInfo
b4c75ed [Imran Rashid] fix merge conflicts; need to widen visibility in a few cases
e91750a [Imran Rashid] Merge branch 'master' into SPARK-3454_w_jersey
56d2fc7 [Imran Rashid] jersey needs asm for SPARK_PREPEND_CLASSES to work
f7df095 [Imran Rashid] add test for accumulables, and discover that I need update after all
9c0c125 [Imran Rashid] add accumulableInfo
00e9cc5 [Imran Rashid] more style
3377e61 [Imran Rashid] scaladoc
d05f7a9 [Imran Rashid] dont use case classes for status api POJOs, since they have binary compatibility issues
654cecf [Imran Rashid] move all the status api POJOs to one file
b86e2b0 [Imran Rashid] style
18a8c45 [Imran Rashid] Merge branch 'master' into SPARK-3454_w_jersey
5598f19 [Imran Rashid] delete some unnecessary code, more to go
56edce0 [Imran Rashid] style
017c755 [Imran Rashid] add in metrics now available
1b78cb7 [Imran Rashid] fix some import ordering
0dc3ea7 [Imran Rashid] if app isnt found, reload apps from FS before giving up
c7d884f [Imran Rashid] fix merge conflicts
0c12b50 [Imran Rashid] Merge branch 'master' into SPARK-3454_w_jersey
b6a96a8 [Imran Rashid] compare json by AST, not string
cd37845 [Imran Rashid] switch to using java.util.Dates for times
a4ab5aa [Imran Rashid] add in explicit dependency on jersey 1.9 -- maven wasn't happy before this
4fdc39f [Imran Rashid] refactor case insensitive enum parsing
cba1ef6 [Imran Rashid] add security (maybe?) for metrics json
f0264a7 [Imran Rashid] switch to using jersey for metrics json
bceb3a9 [Imran Rashid] set http response code on error, some testing
e0356b6 [Imran Rashid] put new test expectation files in rat excludes (is this OK?)
b252e7a [Imran Rashid] small cleanup of accidental changes
d1a8c92 [Imran Rashid] add sbt-revolved plugin, to make it easier to start & stop http servers in sbt
4b398d0 [Imran Rashid] expose UI data as json in new endpoints
"The best way to size the amount of memory consumption your dataset will require is to create an RDD, put it into cache, and look at the SparkContext logs on your driver program. The logs will tell you how much memory each partition is consuming, which you can aggregate to get the total size of the RDD."
-the Tuning Spark page
This is a pain. It would be much nicer to expose simply functionality for understanding the memory footprint of a Java object.
Author: Sandy Ryza <sandy@cloudera.com>
Closes#3913 from sryza/sandy-spark-5112 and squashes the following commits:
8d9e082 [Sandy Ryza] Add SizeEstimator in org.apache.spark
2e1a906 [Sandy Ryza] Revert "Move SizeEstimator out of util"
93f4cd0 [Sandy Ryza] Move SizeEstimator out of util
e21c1f4 [Sandy Ryza] Remove unused import
798ab88 [Sandy Ryza] Update documentation and add to SparkContext
34c523c [Sandy Ryza] SPARK-5112. Expose SizeEstimator as a developer api
Author: shekhar.bansal <shekhar.bansal@guavus.com>
Closes#5719 from zuxqoj/master and squashes the following commits:
5574ff7 [shekhar.bansal] [SPARK-6653][yarn] New config to specify port for sparkYarnAM actor system
5117258 [shekhar.bansal] [SPARK-6653][yarn] New config to specify port for sparkYarnAM actor system
9de5330 [shekhar.bansal] [SPARK-6653][yarn] New config to specify port for sparkYarnAM actor system
456a592 [shekhar.bansal] [SPARK-6653][yarn] New configuration property to specify port for sparkYarnAM actor system
803e93e [shekhar.bansal] [SPARK-6653][yarn] New configuration property to specify port for sparkYarnAM actor system
Remove references to Hadoop 0.23
CC tgravescs Is this what you had in mind? basically all refs to 0.23?
We don't support YARN 0.23, but also don't support Hadoop 0.23 anymore AFAICT. There are no builds or releases for it.
In fact, on a related note, refs to CDH3 (Hadoop 0.20.2) should be removed as this certainly isn't supported either.
Author: Sean Owen <sowen@cloudera.com>
Closes#5863 from srowen/SPARK-7302 and squashes the following commits:
42f5d1e [Sean Owen] Remove CDH3 (Hadoop 0.20.2) refs too
dad02e3 [Sean Owen] Remove references to Hadoop 0.23
Added documentation for spark.streaming.kafka.maxRetries
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#5808 from BenFradet/master and squashes the following commits:
cc72e7a [BenFradet] updated doc for spark.streaming.kafka.maxRetries to explain the default value
18f823e [BenFradet] Added "consecutive" to the spark.streaming.kafka.maxRetries doc
597fdeb [BenFradet] Mention that spark.streaming.kafka.maxRetries only applies to the direct kafka api
0efad39 [BenFradet] Added documentation for spark.streaming.kafka.maxRetries
This patch adds partial support for running spark on mesos inside of a docker container. Only fine-grained mode is presently supported, and there is no checking done to ensure that the version of libmesos is recent enough to have a DockerInfo structure in the protobuf (other than pinning a mesos version in the pom.xml).
Author: Chris Heller <hellertime@gmail.com>
Closes#3074 from hellertime/SPARK-2691 and squashes the following commits:
d504af6 [Chris Heller] Assist type inference
f64885d [Chris Heller] Fix errant line length
17c41c0 [Chris Heller] Base Dockerfile on mesosphere/mesos image
8aebda4 [Chris Heller] Simplfy Docker image docs
1ae7f4f [Chris Heller] Style points
974bd56 [Chris Heller] Convert map to flatMap
5d8bdf7 [Chris Heller] Factor out the DockerInfo construction.
7b75a3d [Chris Heller] Align to styleguide
80108e7 [Chris Heller] Bend to the will of RAT
ba77056 [Chris Heller] Explicit RAT exclude
abda5e5 [Chris Heller] Wildcard .rat-excludes
2f2873c [Chris Heller] Exclude spark-mesos from RAT
a589a5b [Chris Heller] Add example Dockerfile
b6825ce [Chris Heller] Remove use of EasyMock
eae1b86 [Chris Heller] Move properties under 'spark.mesos.'
c184d00 [Chris Heller] Use map on Option to be consistent with non-coarse code
fb9501a [Chris Heller] Bumped mesos version to current release
fa11879 [Chris Heller] Add listenerBus to EasyMock
882151e [Chris Heller] Changes to scala style
b22d42d [Chris Heller] Exclude template from RAT
db536cf [Chris Heller] Remove unneeded mocks
dea1bd5 [Chris Heller] Force default protocol
7dac042 [Chris Heller] Add test for DockerInfo
5456c0c [Chris Heller] Adjust syntax style
521c194 [Chris Heller] Adjust version info
6e38f70 [Chris Heller] Document Mesos Docker properties
29572ab [Chris Heller] Support all DockerInfo fields
b8c0dea [Chris Heller] Support for mesos DockerInfo in coarse-mode.
482a9fd [Chris Heller] Support for mesos DockerInfo in fine-grained mode.
Take 2. Does the same thing as #4688, but fixes Hadoop-1 build.
Author: Hari Shreedharan <hshreedharan@apache.org>
Closes#5823 from harishreedharan/kerberos-longrunning and squashes the following commits:
3c86bba [Hari Shreedharan] Import fixes. Import postfixOps explicitly.
4d04301 [Hari Shreedharan] Minor formatting fixes.
b5e7a72 [Hari Shreedharan] Remove reflection, use a method in SparkHadoopUtil to update the token renewer.
7bff6e9 [Hari Shreedharan] Make sure all required classes are present in the jar. Fix import order.
e851f70 [Hari Shreedharan] Move the ExecutorDelegationTokenRenewer to yarn module. Use reflection to use it.
36eb8a9 [Hari Shreedharan] Change the renewal interval config param. Fix a bunch of comments.
611923a [Hari Shreedharan] Make sure the namenodes are listed correctly for creating tokens.
09fe224 [Hari Shreedharan] Use token.renew to get token's renewal interval rather than using hdfs-site.xml
6963bbc [Hari Shreedharan] Schedule renewal in AM before starting user class. Else, a restarted AM cannot access HDFS if the user class tries to.
072659e [Hari Shreedharan] Fix build failure caused by thread factory getting moved to ThreadUtils.
f041dd3 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
42eead4 [Hari Shreedharan] Remove RPC part. Refactor and move methods around, use renewal interval rather than max lifetime to create new tokens.
ebb36f5 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
bc083e3 [Hari Shreedharan] Overload RegisteredExecutor to send tokens. Minor doc updates.
7b19643 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
8a4f268 [Hari Shreedharan] Added docs in the security guide. Changed some code to ensure that the renewer objects are created only if required.
e800c8b [Hari Shreedharan] Restore original RegisteredExecutor message, and send new tokens via NewTokens message.
0e9507e [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
7f1bc58 [Hari Shreedharan] Minor fixes, cleanup.
bcd11f9 [Hari Shreedharan] Refactor AM and Executor token update code into separate classes, also send tokens via akka on executor startup.
f74303c [Hari Shreedharan] Move the new logic into specialized classes. Add cleanup for old credentials files.
2f9975c [Hari Shreedharan] Ensure new tokens are written out immediately on AM restart. Also, pikc up the latest suffix from HDFS if the AM is restarted.
61b2b27 [Hari Shreedharan] Account for AM restarts by making sure lastSuffix is read from the files on HDFS.
62c45ce [Hari Shreedharan] Relogin from keytab periodically.
fa233bd [Hari Shreedharan] Adding logging, fixing minor formatting and ordering issues.
42813b4 [Hari Shreedharan] Remove utils.sh, which was re-added due to merge with master.
0de27ee [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
55522e3 [Hari Shreedharan] Fix failure caused by Preconditions ambiguity.
9ef5f1b [Hari Shreedharan] Added explanation of how the credentials refresh works, some other minor fixes.
f4fd711 [Hari Shreedharan] Fix SparkConf usage.
2debcea [Hari Shreedharan] Change the file structure for credentials files. I will push a followup patch which adds a cleanup mechanism for old credentials files. The credentials files are small and few enough for it to cause issues on HDFS.
af6d5f0 [Hari Shreedharan] Cleaning up files where changes weren't required.
f0f54cb [Hari Shreedharan] Be more defensive when updating the credentials file.
f6954da [Hari Shreedharan] Got rid of Akka communication to renew, instead the executors check a known file's modification time to read the credentials.
5c11c3e [Hari Shreedharan] Move tests to YarnSparkHadoopUtil to fix compile issues.
b4cb917 [Hari Shreedharan] Send keytab to AM via DistributedCache rather than directly via HDFS
0985b4e [Hari Shreedharan] Write tokens to HDFS and read them back when required, rather than sending them over the wire.
d79b2b9 [Hari Shreedharan] Make sure correct credentials are passed to FileSystem#addDelegationTokens()
8c6928a [Hari Shreedharan] Fix issue caused by direct creation of Actor object.
fb27f46 [Hari Shreedharan] Make sure principal and keytab are set before CoarseGrainedSchedulerBackend is started. Also schedule re-logins in CoarseGrainedSchedulerBackend#start()
41efde0 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
d282d7a [Hari Shreedharan] Fix ClientSuite to set YARN mode, so that the correct class is used in tests.
bcfc374 [Hari Shreedharan] Fix Hadoop-1 build by adding no-op methods in SparkHadoopUtil, with impl in YarnSparkHadoopUtil.
f8fe694 [Hari Shreedharan] Handle None if keytab-login is not scheduled.
2b0d745 [Hari Shreedharan] [SPARK-5342][YARN] Allow long running Spark apps to run on secure YARN/HDFS.
ccba5bc [Hari Shreedharan] WIP: More changes wrt kerberos
77914dd [Hari Shreedharan] WIP: Add kerberos principal and keytab to YARN client.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#5813 from vanzin/SPARK-7281 and squashes the following commits:
1cb6f42 [Marcelo Vanzin] [SPARK-7281] [yarn] Add option to set AM's lib path in client mode.
Adds
rank, recommendUsers and RecommendProducts to MatrixFactorizationModel in PySpark.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#5807 from MechCoder/spark-6257 and squashes the following commits:
09629c6 [MechCoder] doc
953b326 [MechCoder] [SPARK-6257] MLlib API missing items in Recommendation
This is the classes for creating off-heap block storage API. It also includes the migration for Tachyon. The diff seems to be big, but it mainly just rename tachyon to offheap. New implementation for hdfs will be submit for review in spark-6112.
Author: Zhan Zhang <zhazhan@gmail.com>
Closes#5430 from zhzhan/SPARK-6479 and squashes the following commits:
60acd84 [Zhan Zhang] minor change to kickoff the test
12f54c9 [Zhan Zhang] solve merge conflicts
a54132c [Zhan Zhang] solve review comments
ffb8e00 [Zhan Zhang] rebase to sparkcontext change
6e121e0 [Zhan Zhang] resolve review comments and restructure blockmanasger code
a7aed6c [Zhan Zhang] add Tachyon migration code
186de31 [Zhan Zhang] initial commit for off-heap block storage api
Current Spark apps running on Secure YARN/HDFS would not be able to write data
to HDFS after 7 days, since delegation tokens cannot be renewed beyond that. This
means Spark Streaming apps will not be able to run on Secure YARN.
This commit adds basic functionality to fix this issue. In this patch:
- new parameters are added - principal and keytab, which can be used to login to a KDC
- the client logs in, and then get tokens to start the AM
- the keytab is copied to the staging directory
- the AM waits for 60% of the time till expiry of the tokens and then logs in using the keytab
- each time after 60% of the time, new tokens are created and sent to the executors
Currently, to avoid complicating the architecture, we set the keytab and principal in the
SparkHadoopUtil singleton, and schedule a login. Once the login is completed, a callback is scheduled.
This is being posted for feedback, so I can gather feedback on the general implementation.
There are currently a bunch of things to do:
- [x] logging
- [x] testing - I plan to manually test this soon. If you have ideas of how to add unit tests, comment.
- [x] add code to ensure that if these params are set in non-YARN cluster mode, we complain
- [x] documentation
- [x] Have the executors request for credentials from the AM, so that retries are possible.
Author: Hari Shreedharan <hshreedharan@apache.org>
Closes#4688 from harishreedharan/kerberos-longrunning and squashes the following commits:
36eb8a9 [Hari Shreedharan] Change the renewal interval config param. Fix a bunch of comments.
611923a [Hari Shreedharan] Make sure the namenodes are listed correctly for creating tokens.
09fe224 [Hari Shreedharan] Use token.renew to get token's renewal interval rather than using hdfs-site.xml
6963bbc [Hari Shreedharan] Schedule renewal in AM before starting user class. Else, a restarted AM cannot access HDFS if the user class tries to.
072659e [Hari Shreedharan] Fix build failure caused by thread factory getting moved to ThreadUtils.
f041dd3 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
42eead4 [Hari Shreedharan] Remove RPC part. Refactor and move methods around, use renewal interval rather than max lifetime to create new tokens.
ebb36f5 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
bc083e3 [Hari Shreedharan] Overload RegisteredExecutor to send tokens. Minor doc updates.
7b19643 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
8a4f268 [Hari Shreedharan] Added docs in the security guide. Changed some code to ensure that the renewer objects are created only if required.
e800c8b [Hari Shreedharan] Restore original RegisteredExecutor message, and send new tokens via NewTokens message.
0e9507e [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
7f1bc58 [Hari Shreedharan] Minor fixes, cleanup.
bcd11f9 [Hari Shreedharan] Refactor AM and Executor token update code into separate classes, also send tokens via akka on executor startup.
f74303c [Hari Shreedharan] Move the new logic into specialized classes. Add cleanup for old credentials files.
2f9975c [Hari Shreedharan] Ensure new tokens are written out immediately on AM restart. Also, pikc up the latest suffix from HDFS if the AM is restarted.
61b2b27 [Hari Shreedharan] Account for AM restarts by making sure lastSuffix is read from the files on HDFS.
62c45ce [Hari Shreedharan] Relogin from keytab periodically.
fa233bd [Hari Shreedharan] Adding logging, fixing minor formatting and ordering issues.
42813b4 [Hari Shreedharan] Remove utils.sh, which was re-added due to merge with master.
0de27ee [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
55522e3 [Hari Shreedharan] Fix failure caused by Preconditions ambiguity.
9ef5f1b [Hari Shreedharan] Added explanation of how the credentials refresh works, some other minor fixes.
f4fd711 [Hari Shreedharan] Fix SparkConf usage.
2debcea [Hari Shreedharan] Change the file structure for credentials files. I will push a followup patch which adds a cleanup mechanism for old credentials files. The credentials files are small and few enough for it to cause issues on HDFS.
af6d5f0 [Hari Shreedharan] Cleaning up files where changes weren't required.
f0f54cb [Hari Shreedharan] Be more defensive when updating the credentials file.
f6954da [Hari Shreedharan] Got rid of Akka communication to renew, instead the executors check a known file's modification time to read the credentials.
5c11c3e [Hari Shreedharan] Move tests to YarnSparkHadoopUtil to fix compile issues.
b4cb917 [Hari Shreedharan] Send keytab to AM via DistributedCache rather than directly via HDFS
0985b4e [Hari Shreedharan] Write tokens to HDFS and read them back when required, rather than sending them over the wire.
d79b2b9 [Hari Shreedharan] Make sure correct credentials are passed to FileSystem#addDelegationTokens()
8c6928a [Hari Shreedharan] Fix issue caused by direct creation of Actor object.
fb27f46 [Hari Shreedharan] Make sure principal and keytab are set before CoarseGrainedSchedulerBackend is started. Also schedule re-logins in CoarseGrainedSchedulerBackend#start()
41efde0 [Hari Shreedharan] Merge branch 'master' into kerberos-longrunning
d282d7a [Hari Shreedharan] Fix ClientSuite to set YARN mode, so that the correct class is used in tests.
bcfc374 [Hari Shreedharan] Fix Hadoop-1 build by adding no-op methods in SparkHadoopUtil, with impl in YarnSparkHadoopUtil.
f8fe694 [Hari Shreedharan] Handle None if keytab-login is not scheduled.
2b0d745 [Hari Shreedharan] [SPARK-5342][YARN] Allow long running Spark apps to run on secure YARN/HDFS.
ccba5bc [Hari Shreedharan] WIP: More changes wrt kerberos
77914dd [Hari Shreedharan] WIP: Add kerberos principal and keytab to YARN client.
This patch adds the support for cluster mode to run on Mesos.
It introduces a new Mesos framework dedicated to launch new apps/drivers, and can be called with the spark-submit script and specifying --master flag to the cluster mode REST interface instead of Mesos master.
Example:
./bin/spark-submit --deploy-mode cluster --class org.apache.spark.examples.SparkPi --master mesos://10.0.0.206:8077 --executor-memory 1G --total-executor-cores 100 examples/target/spark-examples_2.10-1.3.0-SNAPSHOT.jar 30
Part of this patch is also to abstract the StandaloneRestServer so it can have different implementations of the REST endpoints.
Features of the cluster mode in this PR:
- Supports supervise mode where scheduler will keep trying to reschedule exited job.
- Adds a new UI for the cluster mode scheduler to see all the running jobs, finished jobs, and supervise jobs waiting to be retried
- Supports state persistence to ZK, so when the cluster scheduler fails over it can pick up all the queued and running jobs
Author: Timothy Chen <tnachen@gmail.com>
Author: Luc Bourlier <luc.bourlier@typesafe.com>
Closes#5144 from tnachen/mesos_cluster_mode and squashes the following commits:
069e946 [Timothy Chen] Fix rebase.
e24b512 [Timothy Chen] Persist submitted driver.
390c491 [Timothy Chen] Fix zk conf key for mesos zk engine.
e324ac1 [Timothy Chen] Fix merge.
fd5259d [Timothy Chen] Address review comments.
1553230 [Timothy Chen] Address review comments.
c6c6b73 [Timothy Chen] Pass spark properties to mesos cluster tasks.
f7d8046 [Timothy Chen] Change app name to spark cluster.
17f93a2 [Timothy Chen] Fix head of line blocking in scheduling drivers.
6ff8e5c [Timothy Chen] Address comments and add logging.
df355cd [Timothy Chen] Add metrics to mesos cluster scheduler.
20f7284 [Timothy Chen] Address review comments
7252612 [Timothy Chen] Fix tests.
a46ad66 [Timothy Chen] Allow zk cli param override.
920fc4b [Timothy Chen] Fix scala style issues.
862b5b5 [Timothy Chen] Support asking driver status when it's retrying.
7f214c2 [Timothy Chen] Fix RetryState visibility
e0f33f7 [Timothy Chen] Add supervise support and persist retries.
371ce65 [Timothy Chen] Handle cluster mode recovery and state persistence.
3d4dfa1 [Luc Bourlier] Adds support to kill submissions
febfaba [Timothy Chen] Bound the finished drivers in memory
543a98d [Timothy Chen] Schedule multiple jobs
6887e5e [Timothy Chen] Support looking at SPARK_EXECUTOR_URI env variable in schedulers
8ec76bc [Timothy Chen] Fix Mesos dispatcher UI.
d57d77d [Timothy Chen] Add documentation
825afa0 [Luc Bourlier] Supports more spark-submit parameters
b8e7181 [Luc Bourlier] Adds a shutdown latch to keep the deamon running
0fa7780 [Luc Bourlier] Launch task through the mesos scheduler
5b7a12b [Timothy Chen] WIP: Making a cluster mode a mesos framework.
4b2f5ef [Timothy Chen] Specify user jar in command to be replaced with local.
e775001 [Timothy Chen] Support fetching remote uris in driver runner.
7179495 [Timothy Chen] Change Driver page output and add logging
880bc27 [Timothy Chen] Add Mesos Cluster UI to display driver results
9986731 [Timothy Chen] Kill drivers when shutdown
67cbc18 [Timothy Chen] Rename StandaloneRestClient to RestClient and add sbin scripts
e3facdd [Timothy Chen] Add Mesos Cluster dispatcher
I've added an interface to JavaUtils to do byte conversion and added hooks within Utils.scala to handle conversion within Spark code (like for time strings). I've added matching tests for size conversion, and then updated all deprecated configs and documentation as per SPARK-5933.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#5574 from ilganeli/SPARK-5932 and squashes the following commits:
11f6999 [Ilya Ganelin] Nit fixes
49a8720 [Ilya Ganelin] Whitespace fix
2ab886b [Ilya Ganelin] Scala style
fc85733 [Ilya Ganelin] Got rid of floating point math
852a407 [Ilya Ganelin] [SPARK-5932] Added much improved overflow handling. Can now handle sizes up to Long.MAX_VALUE Petabytes instead of being capped at Long.MAX_VALUE Bytes
9ee779c [Ilya Ganelin] Simplified fraction matches
22413b1 [Ilya Ganelin] Made MAX private
3dfae96 [Ilya Ganelin] Fixed some nits. Added automatic conversion of old paramter for kryoserializer.mb to new values.
e428049 [Ilya Ganelin] resolving merge conflict
8b43748 [Ilya Ganelin] Fixed error in pattern matching for doubles
84a2581 [Ilya Ganelin] Added smoother handling of fractional values for size parameters. This now throws an exception and added a warning for old spark.kryoserializer.buffer
d3d09b6 [Ilya Ganelin] [SPARK-5932] Fixing error in KryoSerializer
fe286b4 [Ilya Ganelin] Resolved merge conflict
c7803cd [Ilya Ganelin] Empty lines
54b78b4 [Ilya Ganelin] Simplified byteUnit class
69e2f20 [Ilya Ganelin] Updates to code
f32bc01 [Ilya Ganelin] [SPARK-5932] Fixed error in API in SparkConf.scala where Kb conversion wasn't being done properly (was Mb). Added test cases for both timeUnit and ByteUnit conversion
f15f209 [Ilya Ganelin] Fixed conversion of kryo buffer size
0f4443e [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5932
35a7fa7 [Ilya Ganelin] Minor formatting
928469e [Ilya Ganelin] [SPARK-5932] Converted some longs to ints
5d29f90 [Ilya Ganelin] [SPARK-5932] Finished documentation updates
7a6c847 [Ilya Ganelin] [SPARK-5932] Updated spark.shuffle.file.buffer
afc9a38 [Ilya Ganelin] [SPARK-5932] Updated spark.broadcast.blockSize and spark.storage.memoryMapThreshold
ae7e9f6 [Ilya Ganelin] [SPARK-5932] Updated spark.io.compression.snappy.block.size
2d15681 [Ilya Ganelin] [SPARK-5932] Updated spark.executor.logs.rolling.size.maxBytes
1fbd435 [Ilya Ganelin] [SPARK-5932] Updated spark.broadcast.blockSize
eba4de6 [Ilya Ganelin] [SPARK-5932] Updated spark.shuffle.file.buffer.kb
b809a78 [Ilya Ganelin] [SPARK-5932] Updated spark.kryoserializer.buffer.max
0cdff35 [Ilya Ganelin] [SPARK-5932] Updated to use bibibytes in method names. Updated spark.kryoserializer.buffer.mb and spark.reducer.maxMbInFlight
475370a [Ilya Ganelin] [SPARK-5932] Simplified ByteUnit code, switched to using longs. Updated docs to clarify that we use kibi, mebi etc instead of kilo, mega
851d691 [Ilya Ganelin] [SPARK-5932] Updated memoryStringToMb to use new interfaces
a9f4fcf [Ilya Ganelin] [SPARK-5932] Added unit tests for unit conversion
747393a [Ilya Ganelin] [SPARK-5932] Added unit tests for ByteString conversion
09ea450 [Ilya Ganelin] [SPARK-5932] Added byte string conversion to Jav utils
5390fd9 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5932
db9a963 [Ilya Ganelin] Closing second spark context
1dc0444 [Ilya Ganelin] Added ref equality check
8c884fa [Ilya Ganelin] Made getOrCreate synchronized
cb0c6b7 [Ilya Ganelin] Doc updates and code cleanup
270cfe3 [Ilya Ganelin] [SPARK-6703] Documentation fixes
15e8dea [Ilya Ganelin] Updated comments and added MiMa Exclude
0e1567c [Ilya Ganelin] Got rid of unecessary option for AtomicReference
dfec4da [Ilya Ganelin] Changed activeContext to AtomicReference
733ec9f [Ilya Ganelin] Fixed some bugs in test code
8be2f83 [Ilya Ganelin] Replaced match with if
e92caf7 [Ilya Ganelin] [SPARK-6703] Added test to ensure that getOrCreate both allows creation, retrieval, and a second context if desired
a99032f [Ilya Ganelin] Spacing fix
d7a06b8 [Ilya Ganelin] Updated SparkConf class to add getOrCreate method. Started test suite implementation
This allows Mesos deployments to use the shuffle service (and implicitly dynamic allocation). It does so by adding a new "main" class and two corresponding scripts in `sbin`:
- `sbin/start-shuffle-service.sh`
- `sbin/stop-shuffle-service.sh`
Specific options can be passed in `SPARK_SHUFFLE_OPTS`.
This is picking up work from #3861 /cc tnachen
Author: Iulian Dragos <jaguarul@gmail.com>
Closes#4990 from dragos/feature/external-shuffle-service and squashes the following commits:
6c2b148 [Iulian Dragos] Import order and wrong name fixup.
07804ad [Iulian Dragos] Moved ExternalShuffleService to the `deploy` package + other minor tweaks.
4dc1f91 [Iulian Dragos] Reviewer’s comments:
8145429 [Iulian Dragos] Add an external shuffle service that can be run as a daemon.
fix typo
Author: Ken Geis <geis.ken@gmail.com>
Closes#5674 from kgeis/patch-1 and squashes the following commits:
5ae67de [Ken Geis] Update sql-programming-guide.md
Added docs for rpc configurations and also fixed two places that should have been fixed in #5595.
Author: zsxwing <zsxwing@gmail.com>
Closes#5607 from zsxwing/SPARK-6490-docs and squashes the following commits:
25a6736 [zsxwing] Increase the default timeout to 120s
6e37c30 [zsxwing] Update docs
5577540 [zsxwing] Use spark.network.timeout as the default timeout if it presents
4f07174 [zsxwing] Fix unit tests
1c2cf26 [zsxwing] Add docs for rpc configurations
The commit message is pretty self-explanatory.
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#5600 from BenFradet/master and squashes the following commits:
108492d [BenFradet] [doc][streaming] Fixed broken link in mllib section
The contribution is my original work. I license the work to the project under the project's open source license.
Small typo in the programming guide.
Author: Eric Chiang <eric.chiang.m@gmail.com>
Closes#5599 from ericchiang/docs-typo and squashes the following commits:
1177942 [Eric Chiang] fixed doc
* Fix the page title in Isotonic regression documents (Naive Bayes -> Isotonic regression)
* Add a newline character at the end of the file
Author: dobashim <dobashim@oss.nttdata.co.jp>
Closes#5581 from dobashim/master and squashes the following commits:
d54a041 [dobashim] Fix typo of the page title in Isotonic regression documents
Just fixed a doc.
Author: Gaurav Nanda <gaurav324@gmail.com>
Closes#5576 from gaurav324/master and squashes the following commits:
8a7323f [Gaurav Nanda] Fixed doc
This patch is fixing the Java examples for Spark SQL when defining
programmatically a Schema and mapping Rows.
Author: Olivier Girardot <o.girardot@lateral-thoughts.com>
Closes#5569 from ogirardot/branch-1.3 and squashes the following commits:
c29e58d [Olivier Girardot] SPARK-6992 : Fix documentation example for Spark SQL on StructType
(cherry picked from commit c9b1ba4b16a7afe93d45bf75b128cc0dd287ded0)
Signed-off-by: Reynold Xin <rxin@databricks.com>
I didn't find many deprecated configs after a grep-based search,
but the ones I could find were moved to the centralized location
in SparkConf.
While there, I deprecated a couple more HS configs that mentioned
time units.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#5562 from vanzin/SPARK-5933 and squashes the following commits:
dcb617e7 [Marcelo Vanzin] [SPARK-5933] [core] Move config deprecation warnings to SparkConf.
- Defined executorCores from "spark.mesos.executor.cores"
- Changed the amount of mesosExecutor's cores to executorCores.
- Added new configuration option on running-on-mesos.md
Author: Jongyoul Lee <jongyoul@gmail.com>
Closes#5063 from jongyoul/SPARK-6350 and squashes the following commits:
9238d6e [Jongyoul Lee] [SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode - Fixed docs - Changed configuration name - Made mesosExecutorCores private
2d41241 [Jongyoul Lee] [SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode - Fixed docs
89edb4f [Jongyoul Lee] [SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode - Fixed docs
8ba7694 [Jongyoul Lee] [SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode - Fixed docs
7549314 [Jongyoul Lee] [SPARK-6453][Mesos] Some Mesos*Suite have a different package with their classes - Fixed docs
4ae7b0c [Jongyoul Lee] [SPARK-6453][Mesos] Some Mesos*Suite have a different package with their classes - Removed TODO
c27efce [Jongyoul Lee] [SPARK-6453][Mesos] Some Mesos*Suite have a different package with their classes - Fixed Mesos*Suite for supporting integer WorkerOffers - Fixed Documentation
1fe4c03 [Jongyoul Lee] [SPARK-6453][Mesos] Some Mesos*Suite have a different package with their classes - Change available resources of cpus to integer value beacuse WorkerOffer support the amount cpus as integer value
5f3767e [Jongyoul Lee] Revert "[SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode"
4b7c69e [Jongyoul Lee] [SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode - Changed configruation name and description from "spark.mesos.executor.cores" to "spark.executor.frameworkCores"
0556792 [Jongyoul Lee] [SPARK-6350][Mesos] Make mesosExecutorCores configurable in mesos "fine-grained" mode - Defined executorCores from "spark.mesos.executor.cores" - Changed the amount of mesosExecutor's cores to executorCores. - Added new configuration option on running-on-mesos.md
This patch includes :
* adding how to use map after an sql query using javaRDD
* fixing the first few java examples that were written in Scala
Thank you for your time,
Olivier.
Author: Olivier Girardot <o.girardot@lateral-thoughts.com>
Closes#5564 from ogirardot/branch-1.3 and squashes the following commits:
9f8d60e [Olivier Girardot] SPARK-6988 : Fix documentation regarding DataFrames using the Java API
(cherry picked from commit 6b528dc139da594ef2e651d84bd91fe0f738a39d)
Signed-off-by: Reynold Xin <rxin@databricks.com>
Currently, when Spark launches the Yarn AM, the process will use
the local Hadoop configuration on the node where the AM launches,
if one is present. A more correct approach is to use the same
configuration used to launch the Spark job, since the user may
have made modifications (such as adding app-specific configs).
The approach taken here is to use the distributed cache to make
all files in the Hadoop configuration directory available to the
AM. This is a little overkill since only the AM needs them (the
executors use the broadcast Hadoop configuration from the driver),
but is the easier approach.
Even though only a few files in that directory may end up being
used, all of them are uploaded. This allows supporting use cases
such as when auxiliary configuration files are used for SSL
configuration, or when uploading a Hive configuration directory.
Not all of these may be reflected in a o.a.h.conf.Configuration object,
but may be needed when a driver in cluster mode instantiates, for
example, a HiveConf object instead.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#4142 from vanzin/SPARK-2669 and squashes the following commits:
f5434b9 [Marcelo Vanzin] Merge branch 'master' into SPARK-2669
013f0fb [Marcelo Vanzin] Review feedback.
f693152 [Marcelo Vanzin] Le sigh.
ed45b7d [Marcelo Vanzin] Zip all config files and upload them as an archive.
5927b6b [Marcelo Vanzin] Merge branch 'master' into SPARK-2669
cbb9fb3 [Marcelo Vanzin] Remove stale test.
e3e58d0 [Marcelo Vanzin] Merge branch 'master' into SPARK-2669
e3d0613 [Marcelo Vanzin] Review feedback.
34bdbd8 [Marcelo Vanzin] Fix test.
022a688 [Marcelo Vanzin] Merge branch 'master' into SPARK-2669
a77ddd5 [Marcelo Vanzin] Merge branch 'master' into SPARK-2669
79221c7 [Marcelo Vanzin] [SPARK-2669] [yarn] Distribute client configuration to AM.
This change tries to follow the chosen way for handling deprecated
configs in SparkConf: all values (old and new) are kept in the conf
object, and newer names take precedence over older ones when
retrieving the value.
Warnings are logged when config options are set, which generally happens
on the driver node (where the logs are most visible).
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#5514 from vanzin/SPARK-6046 and squashes the following commits:
9371529 [Marcelo Vanzin] Avoid math.
6cf3f11 [Marcelo Vanzin] Review feedback.
2445d48 [Marcelo Vanzin] Fix (and cleanup) update interval initialization.
b6824be [Marcelo Vanzin] Clean up the other deprecated config use also.
ab20351 [Marcelo Vanzin] Update FsHistoryProvider to only retrieve new config key.
2c93209 [Marcelo Vanzin] [SPARK-6046] [core] Reorganize deprecated config support in SparkConf.
resubmit of https://github.com/apache/spark/pull/636 for a totally different algorithm
https://issues.apache.org/jira/browse/SPARK-1706
In current implementation, the user has to start multiple workers in a server for starting multiple executors in a server, which introduces additional overhead due to the more JVM processes...
In this patch, I changed the scheduling logic in master to enable the user to start multiple executor processes within the same JVM process.
1. user configure spark.executor.maxCoreNumPerExecutor to suggest the maximum core he/she would like to allocate to each executor
2. Master assigns the executors to the workers with the major consideration on the memoryPerExecutor and the worker.freeMemory, and tries to allocate as many as possible cores to the executor ```min(min(memoryPerExecutor, worker.freeCore), maxLeftCoreToAssign)``` where ```maxLeftCoreToAssign = maxExecutorCanAssign * maxCoreNumPerExecutor```
---------------------------------------
Other small changes include
change memoryPerSlave in ApplicationDescription to memoryPerExecutor, as "Slave" is overrided to represent both worker and executor in the documents... (we have some discussion on this before?)
Author: CodingCat <zhunansjtu@gmail.com>
Closes#731 from CodingCat/SPARK-1706-2 and squashes the following commits:
6dee808 [CodingCat] change filter predicate
fbeb7e5 [CodingCat] address the comments
940cb42 [CodingCat] avoid unnecessary allocation
b8ca561 [CodingCat] revert a change
45967b4 [CodingCat] remove unused method
2eeff77 [CodingCat] stylistic fixes
12a1b32 [CodingCat] change the semantic of coresPerExecutor to exact core number
f035423 [CodingCat] stylistic fix
d9c1685 [CodingCat] remove unused var
f595bd6 [CodingCat] recover some unintentional changes
63b3df9 [CodingCat] change the description of the parameter in the submit script
4cf61f1 [CodingCat] improve the code and docs
ff011e2 [CodingCat] start multiple executors on the worker by rewriting startExeuctor logic
2c2bcc5 [CodingCat] fix wrong usage info
497ec2c [CodingCat] address andrew's comments
878402c [CodingCat] change the launching executor code
f64a28d [CodingCat] typo fix
387f4ec [CodingCat] bug fix
35c462c [CodingCat] address Andrew's comments
0b64fea [CodingCat] fix compilation issue
19d3da7 [CodingCat] address the comments
5b81466 [CodingCat] remove outdated comments
ec7d421 [CodingCat] test commit
e5efabb [CodingCat] more java docs and consolidate canUse function
a26096d [CodingCat] stylistic fix
a5d629a [CodingCat] java doc
b34ec0c [CodingCat] make master support multiple executors per worker
I've added new utility methods to do the conversion from times specified as e.g. 120s, 240ms, 360us to convert to a consistent internal representation. I've updated usage of these constants throughout the code to be consistent.
I believe I've captured all usages of time-based properties throughout the code. I've also updated variable names in a number of places to reflect their units for clarity and updated documentation where appropriate.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Author: Ilya Ganelin <ilganeli@gmail.com>
Closes#5236 from ilganeli/SPARK-5931 and squashes the following commits:
4526c81 [Ilya Ganelin] Update configuration.md
de3bff9 [Ilya Ganelin] Fixing style errors
f5fafcd [Ilya Ganelin] Doc updates
951ca2d [Ilya Ganelin] Made the most recent round of changes
bc04e05 [Ilya Ganelin] Minor fixes and doc updates
25d3f52 [Ilya Ganelin] Minor nit fixes
642a06d [Ilya Ganelin] Fixed logic for invalid suffixes and addid matching test
8927e66 [Ilya Ganelin] Fixed handling of -1
69fedcc [Ilya Ganelin] Added test for zero
dc7bd08 [Ilya Ganelin] Fixed error in exception handling
7d19cdd [Ilya Ganelin] Added fix for possible NPE
6f651a8 [Ilya Ganelin] Now using regexes to simplify code in parseTimeString. Introduces getTimeAsSec and getTimeAsMs methods in SparkConf. Updated documentation
cbd2ca6 [Ilya Ganelin] Formatting error
1a1122c [Ilya Ganelin] Formatting fixes and added m for use as minute formatter
4e48679 [Ilya Ganelin] Fixed priority order and mixed up conversions in a couple spots
d4efd26 [Ilya Ganelin] Added time conversion for yarn.scheduler.heartbeat.interval-ms
cbf41db [Ilya Ganelin] Got rid of thrown exceptions
1465390 [Ilya Ganelin] Nit
28187bf [Ilya Ganelin] Convert straight to seconds
ff40bfe [Ilya Ganelin] Updated tests to fix small bugs
19c31af [Ilya Ganelin] Added cleaner computation of time conversions in tests
6387772 [Ilya Ganelin] Updated suffix handling to handle overlap of units more gracefully
5193d5f [Ilya Ganelin] Resolved merge conflicts
76cfa27 [Ilya Ganelin] [SPARK-5931] Minor nit fixes'
bf779b0 [Ilya Ganelin] Special handling of overlapping usffixes for java
dd0a680 [Ilya Ganelin] Updated scala code to call into java
b2fc965 [Ilya Ganelin] replaced get or default since it's not present in this version of java
39164f9 [Ilya Ganelin] [SPARK-5931] Updated Java conversion to be similar to scala conversion. Updated conversions to clean up code a little using TimeUnit.convert. Added Unit tests
3b126e1 [Ilya Ganelin] Fixed conversion to US from seconds
1858197 [Ilya Ganelin] Fixed bug where all time was being converted to us instead of the appropriate units
bac9edf [Ilya Ganelin] More whitespace
8613631 [Ilya Ganelin] Whitespace
1c0c07c [Ilya Ganelin] Updated Java code to add day, minutes, and hours
647b5ac [Ilya Ganelin] Udpated time conversion to use map iterator instead of if fall through
70ac213 [Ilya Ganelin] Fixed remaining usages to be consistent. Updated Java-side time conversion
68f4e93 [Ilya Ganelin] Updated more files to clean up usage of default time strings
3a12dd8 [Ilya Ganelin] Updated host revceiver
5232a36 [Ilya Ganelin] [SPARK-5931] Changed default behavior of time string conversion.
499bdf0 [Ilya Ganelin] Merge branch 'SPARK-5931' of github.com:ilganeli/spark into SPARK-5931
9e2547c [Ilya Ganelin] Reverting doc changes
8f741e1 [Ilya Ganelin] Update JavaUtils.java
34f87c2 [Ilya Ganelin] Update Utils.scala
9a29d8d [Ilya Ganelin] Fixed misuse of time in streaming context test
42477aa [Ilya Ganelin] Updated configuration doc with note on specifying time properties
cde9bff [Ilya Ganelin] Updated spark.streaming.blockInterval
c6a0095 [Ilya Ganelin] Updated spark.core.connection.auth.wait.timeout
5181597 [Ilya Ganelin] Updated spark.dynamicAllocation.schedulerBacklogTimeout
2fcc91c [Ilya Ganelin] Updated spark.dynamicAllocation.executorIdleTimeout
6d1518e [Ilya Ganelin] Upated spark.speculation.interval
3f1cfc8 [Ilya Ganelin] Updated spark.scheduler.revive.interval
3352d34 [Ilya Ganelin] Updated spark.scheduler.maxRegisteredResourcesWaitingTime
272c215 [Ilya Ganelin] Updated spark.locality.wait
7320c87 [Ilya Ganelin] updated spark.akka.heartbeat.interval
064ebd6 [Ilya Ganelin] Updated usage of spark.cleaner.ttl
21ef3dd [Ilya Ganelin] updated spark.shuffle.sasl.timeout
c9f5cad [Ilya Ganelin] Updated spark.shuffle.io.retryWait
4933fda [Ilya Ganelin] Updated usage of spark.storage.blockManagerSlaveTimeout
7db6d2a [Ilya Ganelin] Updated usage of spark.akka.timeout
404f8c3 [Ilya Ganelin] Updated usage of spark.core.connection.ack.wait.timeout
59bf9e1 [Ilya Ganelin] [SPARK-5931] Updated Utils and JavaUtils classes to add helper methods to handle time strings. Updated time strings in a few places to properly parse time
In Spark on YARN, explicit hostname and port number need to be set for "spark.yarn.historyServer.address" in SparkConf to make the HISTORY link. If the history server address is known and static, this is usually not a problem.
But in cloud, that is usually not true. Particularly in EMR, the history server always runs on the same node as with RM. So I could simply set it to ${yarn.resourcemanager.hostname}:18080 if variable substitution is allowed.
In fact, Hadoop configuration already implements variable substitution, so if this property is read via YarnConf, this can be easily achievable.
Author: Cheolsoo Park <cheolsoop@netflix.com>
Closes#5321 from piaozhexiu/SPARK-6662 and squashes the following commits:
e37de75 [Cheolsoo Park] Preserve the space between the Hadoop and Spark imports
79757c6 [Cheolsoo Park] Incorporate review comments
10e2917 [Cheolsoo Park] Add helper function that substitutes hadoop vars to SparkHadoopUtil
589b52c [Cheolsoo Park] Revert "Allow variable substitution for spark.yarn. properties"
ff9c35d [Cheolsoo Park] Allow variable substitution for spark.yarn. properties
