This PR is based on the original work by JoshRosen in #7780, which adds ScalaCheck property-based tests for UTF8String.
Author: Josh Rosen <joshrosen@databricks.com>
Author: Yijie Shen <henry.yijieshen@gmail.com>
Closes#7830 from yjshen/utf8-property-checks and squashes the following commits:
593da3a [Yijie Shen] resolve comments
c0800e6 [Yijie Shen] Finish all todos in suite
52f51a0 [Josh Rosen] Add some more failing tests
49ed0697 [Josh Rosen] Rename suite
9209c64 [Josh Rosen] UTF8String Property Checks.
This PR is based on #7533 , thanks to zhichao-li
Closes#7533
Author: zhichao.li <zhichao.li@intel.com>
Author: Davies Liu <davies@databricks.com>
Closes#7843 from davies/str_index and squashes the following commits:
391347b [Davies Liu] add python api
3ce7802 [Davies Liu] fix substringIndex
f2d29a1 [Davies Liu] Merge branch 'master' of github.com:apache/spark into str_index
515519b [zhichao.li] add foldable and remove null checking
9546991 [zhichao.li] scala style
67c253a [zhichao.li] hide some apis and clean code
b19b013 [zhichao.li] add codegen and clean code
ac863e9 [zhichao.li] reduce the calling of numChars
12e108f [zhichao.li] refine unittest
d92951b [zhichao.li] add lastIndexOf
52d7b03 [zhichao.li] add substring_index function
This patch creates a code generated unsafe row concatenator that can be used to concatenate/join two UnsafeRows into a single UnsafeRow.
Since it is inherently hard to test these low level stuff, the test suites employ randomized testing heavily in order to guarantee correctness.
Author: Reynold Xin <rxin@databricks.com>
Closes#7821 from rxin/rowconcat and squashes the following commits:
8717f35 [Reynold Xin] Rebase and code review.
72c5d8e [Reynold Xin] Fixed a bug.
a84ed2e [Reynold Xin] Fixed offset.
40c3fb2 [Reynold Xin] Reset random data generator.
f0913aa [Reynold Xin] Test fixes.
6687b6f [Reynold Xin] Updated documentation.
00354b9 [Reynold Xin] Support concat data as well.
e9a4347 [Reynold Xin] Updated.
6269f96 [Reynold Xin] Fixed a bug .
0f89716 [Reynold Xin] [SPARK-9358][SQL][WIP] Code generation for UnsafeRow concat.
This PR adds synonyms for ```merge``` and ```summary``` in SparkR DataFrame API.
cc shivaram
Author: Hossein <hossein@databricks.com>
Closes#7806 from falaki/SPARK-9320 and squashes the following commits:
72600f7 [Hossein] Updated docs
92a6e75 [Hossein] Fixed merge generic signature issue
4c2b051 [Hossein] Fixing naming with mllib summary
0f3a64c [Hossein] Added ... to generic for merge
30fbaf8 [Hossein] Merged master
ae1a4cf [Hossein] Merge branch 'master' into SPARK-9320
e8eb86f [Hossein] Add a generic for merge
fc01f2d [Hossein] Added unit test
8d92012 [Hossein] Added merge as an alias for join
5b8bedc [Hossein] Added unit test
632693d [Hossein] Added summary as an alias for describe for DataFrame
This patch adds support for entries larger than the default page size in BytesToBytesMap. These large rows are handled by allocating special overflow pages to hold individual entries.
In addition, this patch integrates BytesToBytesMap with the ShuffleMemoryManager:
- Move BytesToBytesMap from `unsafe` to `core` so that it can import `ShuffleMemoryManager`.
- Before allocating new data pages, ask the ShuffleMemoryManager to reserve the memory:
- `putNewKey()` now returns a boolean to indicate whether the insert succeeded or failed due to a lack of memory. The caller can use this value to respond to the memory pressure (e.g. by spilling).
- `UnsafeFixedWidthAggregationMap. getAggregationBuffer()` now returns `null` to signal failure due to a lack of memory.
- Updated all uses of these classes to handle these error conditions.
- Added new tests for allocating large records and for allocations which fail due to memory pressure.
- Extended the `afterAll()` test teardown methods to detect ShuffleMemoryManager leaks.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7762 from JoshRosen/large-rows and squashes the following commits:
ae7bc56 [Josh Rosen] Fix compilation
82fc657 [Josh Rosen] Merge remote-tracking branch 'origin/master' into large-rows
34ab943 [Josh Rosen] Remove semi
31a525a [Josh Rosen] Integrate BytesToBytesMap with ShuffleMemoryManager.
626b33c [Josh Rosen] Move code to sql/core and spark/core packages so that ShuffleMemoryManager can be integrated
ec4484c [Josh Rosen] Move BytesToBytesMap from unsafe package to core.
642ed69 [Josh Rosen] Rename size to numElements
bea1152 [Josh Rosen] Add basic test.
2cd3570 [Josh Rosen] Remove accidental duplicated code
07ff9ef [Josh Rosen] Basic support for large rows in BytesToBytesMap.
Adds `alpha` (document-topic Dirichlet parameter) hyperparameter optimization to `OnlineLDAOptimizer` following Huang: Maximum Likelihood Estimation of Dirichlet Distribution Parameters. Also introduces a private `setSampleWithReplacement` to `OnlineLDAOptimizer` for unit testing purposes.
Author: Feynman Liang <fliang@databricks.com>
Closes#7836 from feynmanliang/SPARK-8936-alpha-optimize and squashes the following commits:
4bef484 [Feynman Liang] Documentation improvements
c3c6c1d [Feynman Liang] Fix docs
151e859 [Feynman Liang] Fix style
fa77518 [Feynman Liang] Hyperparameter optimization
This PR brings SQL function soundex(), see https://issues.apache.org/jira/browse/HIVE-9738
It's based on #7115 , thanks to HuJiayin
Author: HuJiayin <jiayin.hu@intel.com>
Author: Davies Liu <davies@databricks.com>
Closes#7812 from davies/soundex and squashes the following commits:
fa75941 [Davies Liu] Merge branch 'master' of github.com:apache/spark into soundex
a4bd6d8 [Davies Liu] fix soundex
2538908 [HuJiayin] add codegen soundex
d15d329 [HuJiayin] add back ut
ded1a14 [HuJiayin] Merge branch 'master' of https://github.com/apache/spark
e2dec2c [HuJiayin] support soundex rebase code
Since code-gen is enabled by default, it is better to run window function tests with code-gen.
https://issues.apache.org/jira/browse/SPARK-9233
Author: Yin Huai <yhuai@databricks.com>
Closes#7832 from yhuai/SPARK-9233 and squashes the following commits:
4e4e4cc [Yin Huai] style
ca80e07 [Yin Huai] Test window function with codegen.
Adds following aliases:
* unique (distinct)
* rbind (unionAll): accepts many DataFrames
* nrow (count)
* ncol
* dim
* names (columns): along with the replacement function to change names
Author: Hossein <hossein@databricks.com>
Closes#7764 from falaki/sparkR-alias and squashes the following commits:
56016f5 [Hossein] Updated R documentation
5e4a4d0 [Hossein] Removed extra code
f51cbef [Hossein] Merge branch 'master' into sparkR-alias
c1b88bd [Hossein] Moved setGeneric and other comments applied
d9307f8 [Hossein] Added tests
b5aa988 [Hossein] Added dim, ncol, nrow, names, rbind, and unique functions to DataFrames
With the change in this patch, I get no more warnings from `./dev/lint-r` in my machine
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes#7834 from shivaram/sparkr-style-fixes and squashes the following commits:
716cd8e [Shivaram Venkataraman] Remaining SparkR style fixes
Update to shade plugin 2.4.1, which removes the need for the dependency-reduced-POM workaround and the 'release' profile. Fix management of shade plugin version so children inherit it; bump assembly plugin version while here
See https://issues.apache.org/jira/browse/SPARK-8819
I verified that `mvn clean package -DskipTests` works with Maven 3.3.3.
pwendell are you up for trying this for the 1.5.0 release?
Author: Sean Owen <sowen@cloudera.com>
Closes#7826 from srowen/SPARK-9507 and squashes the following commits:
e0b0fd2 [Sean Owen] Update to shade plugin 2.4.1, which removes the need for the dependency-reduced-POM workaround and the 'release' profile. Fix management of shade plugin version so children inherit it; bump assembly plugin version while here
Use print(x) not print x for Python 3 in eval examples
CC sethah mengxr -- just wanted to close this out before 1.5
Author: Sean Owen <sowen@cloudera.com>
Closes#7822 from srowen/SPARK-9490 and squashes the following commits:
01abeba [Sean Owen] Change "print x" to "print(x)" in the rest of the docs too
bd7f7fb [Sean Owen] Use print(x) not print x for Python 3 in eval examples
Hopefully this can resolve the flakiness of this suite.
JIRA: https://issues.apache.org/jira/browse/SPARK-9466
Author: Yin Huai <yhuai@databricks.com>
Closes#7777 from yhuai/SPARK-9466 and squashes the following commits:
e0e3a86 [Yin Huai] Increate the timeout.
Make NaiveBayesModel support predicting class probabilities, inherit from ProbabilisticClassificationModel.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#7672 from yanboliang/spark-9308 and squashes the following commits:
25e224c [Yanbo Liang] raw2probabilityInPlace should operate in-place
3ee56d6 [Yanbo Liang] change predictRaw and raw2probabilityInPlace
c07e7a2 [Yanbo Liang] ml.NaiveBayesModel support predicting class probabilities
Rename configuration `spark.streaming.minRememberDuration` to `spark.streaming.fileStream.minRememberDuration`
Author: Sameer Abhyankar <sabhyankar@sabhyankar-MBP.local>
Author: Sameer Abhyankar <sabhyankar@sabhyankar-MBP.Samavihome>
Closes#7740 from sabhyankar/spark_branch_9056 and squashes the following commits:
d5b2f1f [Sameer Abhyankar] Correct deprecated version to 1.5
1268133 [Sameer Abhyankar] Add {} and indentation
ddf9844 [Sameer Abhyankar] Change 4 space indentation to 2 space indentation
1819b5f [Sameer Abhyankar] Use spark.streaming.fileStream.minRememberDuration property in lieu of spark.streaming.minRememberDuration
Add topDocumentsPerTopic to DistributedLDAModel.
Add ScalaDoc and unit tests.
Author: Meihua Wu <meihuawu@umich.edu>
Closes#7769 from rotationsymmetry/SPARK-9246 and squashes the following commits:
1029e79c [Meihua Wu] clean up code comments
a023b82 [Meihua Wu] Update tests to use Long for doc index.
91e5998 [Meihua Wu] Use Long for doc index.
b9f70cf [Meihua Wu] Revise topDocumentsPerTopic
26ff3f6 [Meihua Wu] Add topDocumentsPerTopic, scala doc and unit tests
jkbradley Exposes `bound` (variational log likelihood bound) through public API as `logLikelihood`. Also adds unit tests, some DRYing of `LDASuite`, and includes unit tests mentioned in #7760
Author: Feynman Liang <fliang@databricks.com>
Closes#7801 from feynmanliang/SPARK-9481-logLikelihood and squashes the following commits:
6d1b2c9 [Feynman Liang] Negate perplexity definition
5f62b20 [Feynman Liang] Add logLikelihood
The previous code uses `ssc.awaitTerminationOrTimeout(500)`. Since nobody will stop it during `awaitTerminationOrTimeout`, it's just like `sleep(500)`. In a super overloaded Jenkins worker, the receiver may be not able to start in 500 milliseconds. Verified this in the log of https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/39149/ There is no log about starting the receiver before this failure. That's why `assert(runningCount > 0)` failed.
This PR replaces `awaitTerminationOrTimeout` with `eventually` which should be more reliable.
Author: zsxwing <zsxwing@gmail.com>
Closes#7823 from zsxwing/SPARK-9504 and squashes the following commits:
7af66a6 [zsxwing] Remove wrong assertion
5ba2c99 [zsxwing] Use eventually to fix the flaky test
This PR adds the Python API for Kinesis, including a Python example and a simple unit test.
Author: zsxwing <zsxwing@gmail.com>
Closes#6955 from zsxwing/kinesis-python and squashes the following commits:
e42e471 [zsxwing] Merge branch 'master' into kinesis-python
455f7ea [zsxwing] Remove streaming_kinesis_asl_assembly module and simply add the source folder to streaming_kinesis_asl module
32e6451 [zsxwing] Merge remote-tracking branch 'origin/master' into kinesis-python
5082d28 [zsxwing] Fix the syntax error for Python 2.6
fca416b [zsxwing] Fix wrong comparison
96670ff [zsxwing] Fix the compilation error after merging master
756a128 [zsxwing] Merge branch 'master' into kinesis-python
6c37395 [zsxwing] Print stack trace for debug
7c5cfb0 [zsxwing] RUN_KINESIS_TESTS -> ENABLE_KINESIS_TESTS
cc9d071 [zsxwing] Fix the python test errors
466b425 [zsxwing] Add python tests for Kinesis
e33d505 [zsxwing] Merge remote-tracking branch 'origin/master' into kinesis-python
3da2601 [zsxwing] Fix the kinesis folder
687446b [zsxwing] Fix the error message and the maven output path
add2beb [zsxwing] Merge branch 'master' into kinesis-python
4957c0b [zsxwing] Add the Python API for Kinesis
This PR enables the processing of multiple window frames in a single window operator. This should improve the performance of processing multiple window expressions wich share partition by/order by clauses, because it will be more efficient with respect to memory use and group processing.
Author: Herman van Hovell <hvanhovell@questtec.nl>
Closes#7515 from hvanhovell/SPARK-8640 and squashes the following commits:
f0e1c21 [Herman van Hovell] Changed Window Logical/Physical plans to use partition by/order by specs directly instead of using WindowSpec.
e1711c2 [Herman van Hovell] Enabled the processing of multiple window frames in a single Window operator.
Based on #7600
/cc tdas
Author: Iulian Dragos <jaguarul@gmail.com>
Author: François Garillot <francois@garillot.net>
Closes#7648 from dragos/topic/streaming-bp/pid and squashes the following commits:
aa5b097 [Iulian Dragos] Add more comments, made all PID constant parameters positive, a couple more tests.
93b74f8 [Iulian Dragos] Better explanation of historicalError.
7975b0c [Iulian Dragos] Add configuration for PID.
26cfd78 [Iulian Dragos] A couple of variable renames.
d0bdf7c [Iulian Dragos] Update to latest version of the code, various style and name improvements.
d58b845 [François Garillot] [SPARK-8979][Streaming] Implements a PIDRateEstimator
Decision tree support predict class probabilities.
Implement the prediction probabilities function referred the old DecisionTree API and the [sklean API](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/tree.py#L593).
I make the DecisionTreeClassificationModel inherit from ProbabilisticClassificationModel, make the predictRaw to return the raw counts vector and make raw2probabilityInPlace/predictProbability return the probabilities for each prediction.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#7694 from yanboliang/spark-6885 and squashes the following commits:
08d5b7f [Yanbo Liang] fix ImpurityStats null parameters and raw2probabilityInPlace sum = 0 issue
2174278 [Yanbo Liang] solve merge conflicts
7e90ba8 [Yanbo Liang] fix typos
33ae183 [Yanbo Liang] fix annotation
ff043d3 [Yanbo Liang] raw2probabilityInPlace should operate in-place
c32d6ce [Yanbo Liang] optimize calculateImpurityStats function again
6167fb0 [Yanbo Liang] optimize calculateImpurityStats function
fbbe2ec [Yanbo Liang] eliminate duplicated struct and code
beb1634 [Yanbo Liang] try to eliminate impurityStats for each LearningNode
99e8943 [Yanbo Liang] code optimization
5ec3323 [Yanbo Liang] implement InformationGainAndImpurityStats
227c91b [Yanbo Liang] refactor LearningNode to store ImpurityCalculator
d746ffc [Yanbo Liang] decision tree support predict class probabilities
jira: https://issues.apache.org/jira/browse/SPARK-9231
Helper method in DistributedLDAModel of this form:
```
/**
* For each document, return the top k weighted topics for that document.
* return RDD of (doc ID, topic indices, topic weights)
*/
def topTopicsPerDocument(k: Int): RDD[(Long, Array[Int], Array[Double])]
```
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#7785 from hhbyyh/topTopicsPerdoc and squashes the following commits:
30ad153 [Yuhao Yang] small fix
fd24580 [Yuhao Yang] add topTopics per document to DistributedLDAModel
This pull request contains the following feature for ML:
- Multilayer Perceptron classifier
This implementation is based on our initial pull request with bgreeven: https://github.com/apache/spark/pull/1290 and inspired by very insightful suggestions from mengxr and witgo (I would like to thank all other people from the mentioned thread for useful discussions). The original code was extensively tested and benchmarked. Since then, I've addressed two main requirements that prevented the code from merging into the main branch:
- Extensible interface, so it will be easy to implement new types of networks
- Main building blocks are traits `Layer` and `LayerModel`. They are used for constructing layers of ANN. New layers can be added by extending the `Layer` and `LayerModel` traits. These traits are private in this release in order to save path to improve them based on community feedback
- Back propagation is implemented in general form, so there is no need to change it (optimization algorithm) when new layers are implemented
- Speed and scalability: this implementation has to be comparable in terms of speed to the state of the art single node implementations.
- The developed benchmark for large ANN shows that the proposed code is on par with C++ CPU implementation and scales nicely with the number of workers. Details can be found here: https://github.com/avulanov/ann-benchmark
- DBN and RBM by witgo https://github.com/witgo/spark/tree/ann-interface-gemm-dbn
- Dropout https://github.com/avulanov/spark/tree/ann-interface-gemm
mengxr and dbtsai kindly agreed to perform code review.
Author: Alexander Ulanov <nashb@yandex.ru>
Author: Bert Greevenbosch <opensrc@bertgreevenbosch.nl>
Closes#7621 from avulanov/SPARK-2352-ann and squashes the following commits:
4806b6f [Alexander Ulanov] Addressing reviewers comments.
a7e7951 [Alexander Ulanov] Default blockSize: 100. Added documentation to blockSize parameter and DataStacker class
f69bb3d [Alexander Ulanov] Addressing reviewers comments.
374bea6 [Alexander Ulanov] Moving ANN to ML package. GradientDescent constructor is now spark private.
43b0ae2 [Alexander Ulanov] Addressing reviewers comments. Adding multiclass test.
9d18469 [Alexander Ulanov] Addressing reviewers comments: unnecessary copy of data in predict
35125ab [Alexander Ulanov] Style fix in tests
e191301 [Alexander Ulanov] Apache header
a226133 [Alexander Ulanov] Multilayer Perceptron regressor and classifier
This PR address the comments in #7805
cc rxin
Author: Davies Liu <davies@databricks.com>
Closes#7817 from davies/trunc and squashes the following commits:
f729d5f [Davies Liu] rollback
cb7f7832 [Davies Liu] genCode() is protected
31e52ef [Davies Liu] fix style
ed1edc7 [Davies Liu] address comments for #7805
In thread 'stopped SparkContext remaining active' on mailing list, Andres observed the following in driver log:
```
15/07/29 15:17:09 WARN YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster has disassociated: <address removed>
15/07/29 15:17:09 INFO YarnClientSchedulerBackend: Shutting down all executors
Exception in thread "Yarn application state monitor" org.apache.spark.SparkException: Error asking standalone scheduler to shut down executors
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.stopExecutors(CoarseGrainedSchedulerBackend.scala:261)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.stop(CoarseGrainedSchedulerBackend.scala:266)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.stop(YarnClientSchedulerBackend.scala:158)
at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:416)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1411)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1644)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$$anon$1.run(YarnClientSchedulerBackend.scala:139)
Caused by: java.lang.InterruptedException
at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1325)
at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:190)15/07/29 15:17:09 INFO YarnClientSchedulerBackend: Asking each executor to shut down
at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:78)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.stopExecutors(CoarseGrainedSchedulerBackend.scala:257)
... 6 more
```
Effect of the above exception is that a stopped SparkContext is returned to user since SparkContext.clearActiveContext() is not called.
Author: tedyu <yuzhihong@gmail.com>
Closes#7756 from tedyu/master and squashes the following commits:
7339ff2 [tedyu] Move null assignment out of tryLogNonFatalError block
6e02cd9 [tedyu] Use Utils.tryLogNonFatalError to guard resource release
f5fb519 [tedyu] Clear Active SparkContext in stop() method using finally
`RpcEndpointRef.askWithRetry` throws `SparkException` rather than `TimeoutException`. Use ask to replace it because we don't need to retry here.
Author: zsxwing <zsxwing@gmail.com>
Closes#7824 from zsxwing/SPARK-9497 and squashes the following commits:
7bfc2b4 [zsxwing] Use ask instead of askWithRetry
### JIRA
[[SPARK-9053] Fix spaces around parens, infix operators etc. - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-9053)
### The Result of `lint-r`
[The result of lint-r at the rivision:a4c83cb1e4b066cd60264b6572fd3e51d160d26a](https://gist.github.com/yu-iskw/d253d7f8ef351f86443d)
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#7584 from yu-iskw/SPARK-9053 and squashes the following commits:
613170f [Yu ISHIKAWA] Ignore a warning about a space before a left parentheses
ede61e1 [Yu ISHIKAWA] Ignores two warnings about a space before a left parentheses. TODO: After updating `lintr`, we will remove the ignores
de3e0db [Yu ISHIKAWA] Add '## nolint start' & '## nolint end' statement to ignore infix space warnings
e233ea8 [Yu ISHIKAWA] [SPARK-9053][SparkR] Fix spaces around parens, infix operators etc.
There lots of duplicated code in ternary expressions, create a TernaryExpression for them to reduce duplicated code.
cc chenghao-intel
Author: Davies Liu <davies@databricks.com>
Closes#7816 from davies/ternary and squashes the following commits:
ed2bf76 [Davies Liu] add TernaryExpression
https://issues.apache.org/jira/browse/SPARK-9496
We better do not print the password in log.
Author: WangTaoTheTonic <wangtao111@huawei.com>
Closes#7815 from WangTaoTheTonic/master and squashes the following commits:
c7a5145 [WangTaoTheTonic] do not print the password in config
support ml.NaiveBayes for Python
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#7568 from yanboliang/spark-9214 and squashes the following commits:
5ee3fd6 [Yanbo Liang] fix typos
3ecd046 [Yanbo Liang] fix typos
f9c94d1 [Yanbo Liang] change lambda_ to smoothing and fix other issues
180452a [Yanbo Liang] fix typos
7dda1f4 [Yanbo Liang] support ml.NaiveBayes for Python
This PR is based on #6988 , thanks to adrian-wang .
This brings two SQL functions: to_date() and trunc().
Closes#6988
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Author: Davies Liu <davies@databricks.com>
Closes#7805 from davies/to_date and squashes the following commits:
2c7beba [Davies Liu] Merge branch 'master' of github.com:apache/spark into to_date
310dd55 [Daoyuan Wang] remove dup test in rebase
980b092 [Daoyuan Wang] resolve rebase conflict
a476c5a [Daoyuan Wang] address comments from davies
d44ea5f [Daoyuan Wang] function to_date, trunc
Author: cody koeninger <cody@koeninger.org>
Closes#7772 from koeninger/streaming-hadoop-config and squashes the following commits:
5267284 [cody koeninger] [SPARK-4229][Streaming] consistent hadoop configuration, streaming only
While reviewing yhuai's patch for SPARK-2205 (#7773), I noticed that Exchange's `compatible` check may be incorrectly returning `false` in many cases. As far as I know, this is not actually a problem because the `compatible`, `meetsRequirements`, and `needsAnySort` checks are serving only as short-circuit performance optimizations that are not necessary for correctness.
In order to reduce code complexity, I think that we should remove these checks and unconditionally rewrite the operator's children. This should be safe because we rewrite the tree in a single bottom-up pass.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7807 from JoshRosen/SPARK-9489 and squashes the following commits:
9d76ce9 [Josh Rosen] [SPARK-9489] Remove compatibleWith, meetsRequirements, and needsAnySort checks from Exchange
Improve error message when number of examples is less than arity of high-arity categorical feature
CC jkbradley is this about what you had in mind? I know it's a starter, but was on my list to close out in the short term.
Author: Sean Owen <sowen@cloudera.com>
Closes#7800 from srowen/SPARK-9077 and squashes the following commits:
b8f6cdb [Sean Owen] Improve error message when number of examples is less than arity of high-arity categorical feature
JIRA: https://issues.apache.org/jira/browse/SPARK-6319
Spark SQL uses plain byte arrays to represent binary values. However, the arrays are compared by reference rather than by values. Thus, we should not use BinaryType on Join and Aggregate in current implementation.
Author: Liang-Chi Hsieh <viirya@appier.com>
Closes#7787 from viirya/agg_no_binary_type and squashes the following commits:
4f76cac [Liang-Chi Hsieh] Throw AnalysisException when using BinaryType on Join and Aggregate.
This PR brings the support of DecimalType in UnsafeRow, for precision <= 18, it's settable, otherwise it's not settable.
Author: Davies Liu <davies@databricks.com>
Closes#7758 from davies/unsafe_decimal and squashes the following commits:
478b1ba [Davies Liu] address comments
536314c [Davies Liu] Merge branch 'master' of github.com:apache/spark into unsafe_decimal
7c2e77a [Davies Liu] fix JoinedRow
76d6fa4 [Davies Liu] fix tests
99d3151 [Davies Liu] Merge branch 'master' of github.com:apache/spark into unsafe_decimal
d49c6ae [Davies Liu] support DecimalType in UnsafeRow
Author: Reynold Xin <rxin@databricks.com>
Closes#7803 from rxin/SPARK-9458 and squashes the following commits:
5b032dc [Reynold Xin] Fix string.
b670dbb [Reynold Xin] [SPARK-9458][SPARK-9469][SQL] Code generate prefix computation in sorting & moves unsafe conversion out of TungstenSort.
This was previously committed but then reverted due to test failures (see #6769).
Author: Xiangrui Meng <meng@databricks.com>
Closes#7755 from rxin/SPARK-7157 and squashes the following commits:
fbf9044 [Xiangrui Meng] fix python test
542bd37 [Xiangrui Meng] update test
604fe6d [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7157
f051afd [Xiangrui Meng] use udf instead of building expression
f4e9425 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7157
8fb990b [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7157
103beb3 [Xiangrui Meng] add Java-friendly sampleBy
991f26f [Xiangrui Meng] fix seed
4a14834 [Xiangrui Meng] move sampleBy to stat
832f7cc [Xiangrui Meng] add sampleBy to DataFrame
This is based on MechCoder 's PR https://github.com/apache/spark/pull/7731. Hopefully it could pass tests. MechCoder I tried to make minimal changes. If this passes Jenkins, we can merge this one first and then try to move `__init__.py` to `local.py` in a separate PR.
Closes#7731
Author: Xiangrui Meng <meng@databricks.com>
Closes#7746 from mengxr/SPARK-9408 and squashes the following commits:
0e05a3b [Xiangrui Meng] merge master
1135551 [Xiangrui Meng] add a comment for str(...)
c48cae0 [Xiangrui Meng] update tests
173a805 [Xiangrui Meng] move linalg.py to linalg/__init__.py
If Kinesis tests are enabled by env ENABLE_KINESIS_TESTS = 1 but no AWS credentials are found, the desired behavior is the fail the test using with
```
Exception encountered when attempting to run a suite with class name: org.apache.spark.streaming.kinesis.KinesisBackedBlockRDDSuite *** ABORTED *** (3 seconds, 5 milliseconds)
[info] java.lang.Exception: Kinesis tests enabled, but could get not AWS credentials
```
Instead KinesisStreamSuite fails with
```
[info] - basic operation *** FAILED *** (3 seconds, 35 milliseconds)
[info] java.lang.IllegalArgumentException: requirement failed: Stream not yet created, call createStream() to create one
[info] at scala.Predef$.require(Predef.scala:233)
[info] at org.apache.spark.streaming.kinesis.KinesisTestUtils.streamName(KinesisTestUtils.scala:77)
[info] at org.apache.spark.streaming.kinesis.KinesisTestUtils$$anonfun$deleteStream$1.apply(KinesisTestUtils.scala:150)
[info] at org.apache.spark.streaming.kinesis.KinesisTestUtils$$anonfun$deleteStream$1.apply(KinesisTestUtils.scala:150)
[info] at org.apache.spark.Logging$class.logWarning(Logging.scala:71)
[info] at org.apache.spark.streaming.kinesis.KinesisTestUtils.logWarning(KinesisTestUtils.scala:39)
[info] at org.apache.spark.streaming.kinesis.KinesisTestUtils.deleteStream(KinesisTestUtils.scala:150)
[info] at org.apache.spark.streaming.kinesis.KinesisStreamSuite$$anonfun$3.apply$mcV$sp(KinesisStreamSuite.scala:111)
[info] at org.apache.spark.streaming.kinesis.KinesisStreamSuite$$anonfun$3.apply(KinesisStreamSuite.scala:86)
[info] at org.apache.spark.streaming.kinesis.KinesisStreamSuite$$anonfun$3.apply(KinesisStreamSuite.scala:86)
```
This is because attempting to delete a non-existent Kinesis stream throws uncaught exception. This PR fixes it.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#7809 from tdas/kinesis-test-hotfix and squashes the following commits:
7c372e6 [Tathagata Das] Fixed test
No new dependencies are added. The exclusion changes are due to the change in tachyon-client 0.7.0's project structure.
There is no client side API change in Tachyon 0.7.0 so no code changes are required.
Author: Calvin Jia <jia.calvin@gmail.com>
Closes#7577 from calvinjia/SPARK-9199 and squashes the following commits:
4e81e40 [Calvin Jia] Update Tachyon dependency from 0.6.4 -> 0.7.0
This patch improves SparkR error message reporting, especially with DataFrame API. When there is a user error (e.g., malformed SQL query), the message of the cause is sent back through the RPC and the R client reads it and returns it back to user.
cc shivaram
Author: Hossein <hossein@databricks.com>
Closes#7742 from falaki/SPARK-8742 and squashes the following commits:
4f643c9 [Hossein] Not logging exceptions in RBackendHandler
4a8005c [Hossein] Returning stack track of causing exception from RBackendHandler
5cf17f0 [Hossein] Adding unit test for error messages from SQLContext
2af75d5 [Hossein] Reading error message in case of failure and stoping with that message
f479c99 [Hossein] Wrting exception cause message in JVM
Add checkpointing to GradientBoostedTrees, GBTClassifier, GBTRegressor
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#7804 from jkbradley/gbt-checkpoint3 and squashes the following commits:
3fbd7ba [Joseph K. Bradley] tiny fix
b3e160c [Joseph K. Bradley] unset checkpoint dir after test
9cc3a04 [Joseph K. Bradley] added checkpointing to GBTs
Author: martinzapletal <zapletal-martin@email.cz>
Closes#7517 from zapletal-martin/SPARK-8671-isotonic-regression-api and squashes the following commits:
8c435c1 [martinzapletal] Review https://github.com/apache/spark/pull/7517 feedback update.
bebbb86 [martinzapletal] Merge remote-tracking branch 'upstream/master' into SPARK-8671-isotonic-regression-api
b68efc0 [martinzapletal] Added tests for param validation.
07c12bd [martinzapletal] Comments and refactoring.
834fcf7 [martinzapletal] Merge remote-tracking branch 'upstream/master' into SPARK-8671-isotonic-regression-api
b611fee [martinzapletal] SPARK-8671. Added first version of isotonic regression to pipeline API
See https://issues.apache.org/jira/browse/SPARK-9479 for the failure cause.
The PR includes the following changes:
1. Make ReceiverTrackerSuite create StreamingContext in the test body.
2. Fix places that don't stop StreamingContext. I verified no SparkContext was stopped in the shutdown hook locally after this fix.
3. Fix an issue that `ReceiverTracker.endpoint` may be null.
4. Make sure stopping SparkContext in non-main thread won't fail other tests.
Author: zsxwing <zsxwing@gmail.com>
Closes#7797 from zsxwing/fix-ReceiverTrackerSuite and squashes the following commits:
3a4bb98 [zsxwing] Fix another potential NPE
d7497df [zsxwing] Fix ReceiverTrackerSuite; make sure StreamingContext in tests is closed
