By grouping projection calls into multiple apply function, we are able to push the number of projections codegen can handle from ~1k to ~60k. I have set the unit test to test against 5k as 60k took 15s for the unit test to complete.
Author: Forest Fang <forest.fang@outlook.com>
Closes#7076 from saurfang/codegen_size_limit and squashes the following commits:
b7a7635 [Forest Fang] [SPARK-8443][SQL] Execute and verify split projections in test
adef95a [Forest Fang] [SPARK-8443][SQL] Use safer factor and rewrite splitting code
1b5aa7e [Forest Fang] [SPARK-8443][SQL] inline execution if one block only
9405680 [Forest Fang] [SPARK-8443][SQL] split projection code by size limit
It is very hard to track which expressions have code gen implemented or not. This patch removes the default fallback gencode implementation from Expression, and moves that into a new trait called CodegenFallback. Each concrete expression needs to either implement code generation, or mix in CodegenFallback. This makes it very easy to track which expressions have code generation implemented already.
Additionally, this patch creates an Unevaluable trait that can be used to track expressions that don't support evaluation (e.g. Star).
Author: Reynold Xin <rxin@databricks.com>
Closes#7487 from rxin/codegenfallback and squashes the following commits:
14ebf38 [Reynold Xin] Fixed Conv
6c1c882 [Reynold Xin] Fixed Alias.
b42611b [Reynold Xin] [SPARK-9150][SQL] Create a trait to track code generation for expressions.
cb5c066 [Reynold Xin] Removed extra import.
39cbe40 [Reynold Xin] [SPARK-8240][SQL] string function: concat
Author: Reynold Xin <rxin@databricks.com>
Closes#7500 from rxin/sqlconf and squashes the following commits:
a5726c8 [Reynold Xin] [SPARK-9174][SQL] Add documentation for all public SQLConfs.
JIRA: https://issues.apache.org/jira/browse/SPARK-9055
cc rxin
Author: Yijie Shen <henry.yijieshen@gmail.com>
Closes#7491 from yijieshen/widen and squashes the following commits:
079fa52 [Yijie Shen] widenType support for intersect and expect
JIRA: https://issues.apache.org/jira/browse/SPARK-9151
Add codegen support for `Abs`.
Author: Liang-Chi Hsieh <viirya@appier.com>
Closes#7498 from viirya/abs_codegen and squashes the following commits:
0c8410f [Liang-Chi Hsieh] Implement code generation for Abs.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7496 from cloud-fan/tests and squashes the following commits:
0958f90 [Wenchen Fan] improve test for nondeterministic expressions
fix 2 bugs introduced in https://github.com/apache/spark/pull/7353
1. we should use UTC Calendar when cast string to date . Before #7353 , we use `DateTimeUtils.fromJavaDate(Date.valueOf(s.toString))` to cast string to date, and `fromJavaDate` will call `millisToDays` to avoid the time zone issue. Now we use `DateTimeUtils.stringToDate(s)`, we should create a Calendar with UTC in the begging.
2. we should not change the default time zone in test cases. The `threadLocalLocalTimeZone` and `threadLocalTimestampFormat` in `DateTimeUtils` will only be evaluated once for each thread, so we can't set the default time zone back anymore.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7488 from cloud-fan/datetime and squashes the following commits:
9cd6005 [Wenchen Fan] address comments
21ef293 [Wenchen Fan] fix 2 bugs in datetime
a follow up of https://github.com/apache/spark/pull/7479.
The `TreeNode` is the root case of the requirement of `self: Product =>` stuff, so why not make `TreeNode` extend `Product`?
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7495 from cloud-fan/self-type and squashes the following commits:
8676af7 [Wenchen Fan] remove more self type
Now that we have two different internal row formats, UnsafeRow and the old Java-object-based row format, we end up having to perform conversions between these two formats. These conversions should not be performed by the operators themselves; instead, the planner should be responsible for inserting appropriate format conversions when they are needed.
This patch makes the following changes:
- Add two new physical operators for performing row format conversions, `ConvertToUnsafe` and `ConvertFromUnsafe`.
- Add new methods to `SparkPlan` to allow operators to express whether they output UnsafeRows and whether they can handle safe or unsafe rows as inputs.
- Implement an `EnsureRowFormats` rule to automatically insert converter operators where necessary.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7482 from JoshRosen/unsafe-converter-planning and squashes the following commits:
7450fa5 [Josh Rosen] Resolve conflicts in favor of choosing UnsafeRow
5220cce [Josh Rosen] Add roundtrip converter test
2bb8da8 [Josh Rosen] Add Union unsafe support + tests to bump up test coverage
6f79449 [Josh Rosen] Add even more assertions to execute()
08ce199 [Josh Rosen] Rename ConvertFromUnsafe -> ConvertToSafe
0e2d548 [Josh Rosen] Add assertion if operators' input rows are in different formats
cabb703 [Josh Rosen] Add tests for Filter
3b11ce3 [Josh Rosen] Add missing test file.
ae2195a [Josh Rosen] Fixes
0fef0f8 [Josh Rosen] Rename file.
d5f9005 [Josh Rosen] Finish writing EnsureRowFormats planner rule
b5df19b [Josh Rosen] Merge remote-tracking branch 'origin/master' into unsafe-converter-planning
9ba3038 [Josh Rosen] WIP
Author: Reynold Xin <rxin@databricks.com>
Closes#7490 from rxin/unit-test-null-funcs and squashes the following commits:
7b276f0 [Reynold Xin] Move isNaN.
8307287 [Reynold Xin] [SPARK-9169][SQL] Improve unit test coverage for null expressions.
Previous seed resulted in empty test data set.
Author: Paweł Kozikowski <mupakoz@gmail.com>
Closes#7477 from mupakoz/patch-1 and squashes the following commits:
f5d41ee [Paweł Kozikowski] Mllib Naive Bayes example data set enlarged
I Implemented the KMeans API for spark.ml Pipelines. But it doesn't include clustering abstractions for spark.ml (SPARK-7610). It would fit for another issues. And I'll try it later, since we are trying to add the hierarchical clustering algorithms in another issue. Thanks.
[SPARK-7879] KMeans API for spark.ml Pipelines - ASF JIRA https://issues.apache.org/jira/browse/SPARK-7879
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#6756 from yu-iskw/SPARK-7879 and squashes the following commits:
be752de [Yu ISHIKAWA] Add assertions
a14939b [Yu ISHIKAWA] Fix the dashed line's length in pyspark.ml.rst
4c61693 [Yu ISHIKAWA] Remove the test about whether "features" and "prediction" columns exist or not in Python
fb2417c [Yu ISHIKAWA] Use getInt, instead of get
f397be4 [Yu ISHIKAWA] Switch the comparisons.
ca78b7d [Yu ISHIKAWA] Add the Scala docs about the constraints of each parameter.
effc650 [Yu ISHIKAWA] Using expertSetParam and expertGetParam
c8dc6e6 [Yu ISHIKAWA] Remove an unnecessary test
19a9d63 [Yu ISHIKAWA] Include spark.ml.clustering to python tests
1abb19c [Yu ISHIKAWA] Add the statements about spark.ml.clustering into pyspark.ml.rst
f8338bc [Yu ISHIKAWA] Add the placeholders in Python
4a03003 [Yu ISHIKAWA] Test for contains in Python
6566c8b [Yu ISHIKAWA] Use `get`, instead of `apply`
288e8d5 [Yu ISHIKAWA] Using `contains` to check the column names
5a7d574 [Yu ISHIKAWA] Renamce `validateInitializationMode` to `validateInitMode` and remove throwing exception
97cfae3 [Yu ISHIKAWA] Fix the type of return value of `KMeans.copy`
e933723 [Yu ISHIKAWA] Remove the default value of seed from the Model class
978ee2c [Yu ISHIKAWA] Modify the docs of KMeans, according to mllib's KMeans
2ec80bc [Yu ISHIKAWA] Fit on 1 line
e186be1 [Yu ISHIKAWA] Make a few variables, setters and getters be expert ones
b2c205c [Yu ISHIKAWA] Rename the method `getInitializationSteps` to `getInitSteps` and `setInitializationSteps` to `setInitSteps` in Scala and Python
f43f5b4 [Yu ISHIKAWA] Rename the method `getInitializationMode` to `getInitMode` and `setInitializationMode` to `setInitMode` in Scala and Python
3cb5ba4 [Yu ISHIKAWA] Modify the description about epsilon and the validation
4fa409b [Yu ISHIKAWA] Add a comment about the default value of epsilon
2f392e1 [Yu ISHIKAWA] Make some variables `final` and Use `IntParam` and `DoubleParam`
19326f8 [Yu ISHIKAWA] Use `udf`, instead of callUDF
4d2ad1e [Yu ISHIKAWA] Modify the indentations
0ae422f [Yu ISHIKAWA] Add a test for `setParams`
4ff7913 [Yu ISHIKAWA] Add "ml.clustering" to `javacOptions` in SparkBuild.scala
11ffdf1 [Yu ISHIKAWA] Use `===` and the variable
220a176 [Yu ISHIKAWA] Set a random seed in the unit testing
92c3efc [Yu ISHIKAWA] Make the points for a test be fewer
c758692 [Yu ISHIKAWA] Modify the parameters of KMeans in Python
6aca147 [Yu ISHIKAWA] Add some unit testings to validate the setter methods
687cacc [Yu ISHIKAWA] Alias mllib.KMeans as MLlibKMeans in KMeansSuite.scala
a4dfbef [Yu ISHIKAWA] Modify the last brace and indentations
5bedc51 [Yu ISHIKAWA] Remve an extra new line
444c289 [Yu ISHIKAWA] Add the validation for `runs`
e41989c [Yu ISHIKAWA] Modify how to validate `initStep`
7ea133a [Yu ISHIKAWA] Change how to validate `initMode`
7991e15 [Yu ISHIKAWA] Add a validation for `k`
c2df35d [Yu ISHIKAWA] Make `predict` private
93aa2ff [Yu ISHIKAWA] Use `withColumn` in `transform`
d3a79f7 [Yu ISHIKAWA] Remove the inhefited docs
e9532e1 [Yu ISHIKAWA] make `parentModel` of KMeansModel private
8559772 [Yu ISHIKAWA] Remove the `paramMap` parameter of KMeans
6684850 [Yu ISHIKAWA] Rename `initializationSteps` to `initSteps`
99b1b96 [Yu ISHIKAWA] Rename `initializationMode` to `initMode`
79ea82b [Yu ISHIKAWA] Modify the parameters of KMeans docs
6569bcd [Yu ISHIKAWA] Change how to set the default values with `setDefault`
20a795a [Yu ISHIKAWA] Change how to set the default values with `setDefault`
11c2a12 [Yu ISHIKAWA] Limit the imports
badb481 [Yu ISHIKAWA] Alias spark.mllib.{KMeans, KMeansModel}
f80319a [Yu ISHIKAWA] Rebase mater branch and add copy methods
85d92b1 [Yu ISHIKAWA] Add `KMeans.setPredictionCol`
aa9469d [Yu ISHIKAWA] Fix a python test suite error caused by python 3.x
c2d6bcb [Yu ISHIKAWA] ADD Java test suites of the KMeans API for spark.ml Pipeline
598ed2e [Yu ISHIKAWA] Implement the KMeans API for spark.ml Pipelines in Python
63ad785 [Yu ISHIKAWA] Implement the KMeans API for spark.ml Pipelines in Scala
When the `condition` extracted by `ExtractEquiJoinKeys` contain join Predicate for left semi join, we can not plan it as semiJoin. Such as
SELECT * FROM testData2 x
LEFT SEMI JOIN testData2 y
ON x.b = y.b
AND x.a >= y.a + 2
Condition `x.a >= y.a + 2` can not evaluate on table `x`, so it throw errors
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#5643 from adrian-wang/spark7026 and squashes the following commits:
cc09809 [Daoyuan Wang] refactor semijoin and add plan test
575a7c8 [Daoyuan Wang] fix notserializable
27841de [Daoyuan Wang] fix rebase
10bf124 [Daoyuan Wang] fix style
72baa02 [Daoyuan Wang] fix style
8e0afca [Daoyuan Wang] merge commits for rebase
Current Kinesis unit tests do not test createStream by sending data. This PR is to add such unit test. Note that this unit will not run by default. It will only run when the relevant environment variables are set.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#7413 from tdas/kinesis-tests and squashes the following commits:
0e16db5 [Tathagata Das] Added more comments regarding testOrIgnore
1ea5ce0 [Tathagata Das] Added more comments
c7caef7 [Tathagata Das] Address comments
a297b59 [Tathagata Das] Reverted unnecessary change in KafkaStreamSuite
90c9bde [Tathagata Das] Removed scalatest.FunSuite
deb7f4f [Tathagata Das] Removed scalatest.FunSuite
18c2208 [Tathagata Das] Changed how SparkFunSuite is inherited
dbb33a5 [Tathagata Das] Added license
88f6dab [Tathagata Das] Added scala docs
c6be0d7 [Tathagata Das] minor changes
24a992b [Tathagata Das] Moved KinesisTestUtils to src instead of test for future python usage
465b55d [Tathagata Das] Made unit tests optional in a nice way
4d70703 [Tathagata Das] Added license
129d436 [Tathagata Das] Minor updates
cc36510 [Tathagata Das] Added KinesisStreamSuite
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7452 from cloud-fan/boolean-simplify and squashes the following commits:
2a6e692 [Wenchen Fan] fix style
d3cfd26 [Wenchen Fan] fix BooleanSimplification in case-insensitive
The check was unreachable before, as `case operator: LogicalPlan` catches everything already.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7449 from cloud-fan/tmp and squashes the following commits:
2bb6637 [Wenchen Fan] add test
5493aea [Wenchen Fan] add the check back
27221a7 [Wenchen Fan] remove unnecessary analysis check code for self join
JIRA: https://issues.apache.org/jira/browse/SPARK-9080
cc rxin
Author: Yijie Shen <henry.yijieshen@gmail.com>
Closes#7464 from yijieshen/isNaN and squashes the following commits:
11ae039 [Yijie Shen] add isNaN in functions
666718e [Yijie Shen] add isNaN predicate expression
Just a small change to add Product type to the base expression/plan abstract classes, based on suggestions on #7434 and offline discussions.
Author: Reynold Xin <rxin@databricks.com>
Closes#7479 from rxin/remove-self-types and squashes the following commits:
e407ffd [Reynold Xin] [SPARK-9142][SQL] Removing unnecessary self types in Catalyst.
This makes sure attempts are listed in the order they were executed, and that the
app's state matches the state of the most current attempt.
Author: Joshi <rekhajoshm@gmail.com>
Author: Rekha Joshi <rekhajoshm@gmail.com>
Closes#7253 from rekhajoshm/SPARK-8593 and squashes the following commits:
874dd80 [Joshi] History Server: updated order for multiple attempts(logcleaner)
716e0b1 [Joshi] History Server: updated order for multiple attempts(descending start time works everytime)
548c753 [Joshi] History Server: updated order for multiple attempts(descending start time works everytime)
83306a8 [Joshi] History Server: updated order for multiple attempts(descending start time)
b0fc922 [Joshi] History Server: updated order for multiple attempts(updated comment)
cc0fda7 [Joshi] History Server: updated order for multiple attempts(updated test)
304cb0b [Joshi] History Server: updated order for multiple attempts(reverted HistoryPage)
85024e8 [Joshi] History Server: updated order for multiple attempts
a41ac4b [Joshi] History Server: updated order for multiple attempts
ab65fa1 [Joshi] History Server: some attempt completed to work with showIncomplete
0be142d [Rekha Joshi] Merge pull request #3 from apache/master
106fd8e [Rekha Joshi] Merge pull request #2 from apache/master
e3677c9 [Rekha Joshi] Merge pull request #1 from apache/master
Broadcast of ensemble models in transformImpl before call to predict
Author: Bryan Cutler <bjcutler@us.ibm.com>
Closes#6300 from BryanCutler/bcast-ensemble-models-7127 and squashes the following commits:
86e73de [Bryan Cutler] [SPARK-7127] Replaced deprecated callUDF with udf
40a139d [Bryan Cutler] Merge branch 'master' into bcast-ensemble-models-7127
9afad56 [Bryan Cutler] [SPARK-7127] Simplified calls by overriding transformImpl and using broadcasted model in callUDF to make prediction
1f34be4 [Bryan Cutler] [SPARK-7127] Removed accidental newline
171a6ce [Bryan Cutler] [SPARK-7127] Used modelAccessor parameter in predictImpl to access broadcasted model
6fd153c [Bryan Cutler] [SPARK-7127] Applied broadcasting to remaining ensemble models
aaad77b [Bryan Cutler] [SPARK-7127] Removed abstract class for broadcasting model, instead passing a prediction function as param to transform
83904bb [Bryan Cutler] [SPARK-7127] Adding broadcast of model before prediction in RandomForestClassifier
Add Python API for PCA transformer
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#7190 from yanboliang/spark-8792 and squashes the following commits:
8f4ac31 [Yanbo Liang] address comments
8a79cc0 [Yanbo Liang] Add Python API for PCA transformer
Make the definition of residuals in Spark consistent with literature. We have been using `prediction - label` for residuals, but literature usually defines `residual = label - prediction`.
Author: Feynman Liang <fliang@databricks.com>
Closes#7435 from feynmanliang/SPARK-9090-Fix-LinearRegressionSummary-Residuals and squashes the following commits:
f4b39d8 [Feynman Liang] Fix doc
bc12a92 [Feynman Liang] Tweak EnsembleTestHelper and SquaredError residuals
63f0d60 [Feynman Liang] Fix definition of residual
This is an alternative way to fix `SPARK-5681`. It minimizes the changes.
Closes#4467
Author: zsxwing <zsxwing@gmail.com>
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#6294 from zsxwing/pr4467 and squashes the following commits:
709ac1f [zsxwing] Fix the comment
e103e8a [zsxwing] Move ReceiverTracker.stop into ReceiverTracker.stop
f637142 [zsxwing] Address minor code style comments
a178d37 [zsxwing] Move 'stopReceivers' to the event looop to resolve the race condition
51fb07e [zsxwing] Fix the code style
3cb19a3 [zsxwing] Merge branch 'master' into pr4467
b4c29e7 [zsxwing] Stop receiver only if we start it
c41ee94 [zsxwing] Make stopReceivers private
7c73c1f [zsxwing] Use trackerStateLock to protect trackerState
a8120c0 [zsxwing] Merge branch 'master' into pr4467
7b1d9af [zsxwing] "case Throwable" => "case NonFatal"
15ed4a1 [zsxwing] Register before starting the receiver
fff63f9 [zsxwing] Use a lock to eliminate the race condition when stopping receivers and registering receivers happen at the same time.
e0ef72a [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into tracker_status_timeout
19b76d9 [Liang-Chi Hsieh] Remove timeout.
34c18dc [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into tracker_status_timeout
c419677 [Liang-Chi Hsieh] Fix style.
9e1a760 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into tracker_status_timeout
355f9ce [Liang-Chi Hsieh] Separate register and start events for receivers.
3d568e8 [Liang-Chi Hsieh] Let receivers get registered first before going started.
ae0d9fd [Liang-Chi Hsieh] Merge branch 'master' into tracker_status_timeout
77983f3 [Liang-Chi Hsieh] Add tracker status and stop to receive messages when stopping tracker.
a follow up of https://github.com/apache/spark/pull/7353
1. we should use `Calendar.HOUR_OF_DAY` instead of `Calendar.HOUR`(this is for AM, PM).
2. we should call `c.set(Calendar.MILLISECOND, 0)` after `Calendar.getInstance`
I'm not sure why the tests didn't fail in jenkins, but I ran latest spark master branch locally and `DateTimeUtilsSuite` failed.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7473 from cloud-fan/datetime and squashes the following commits:
66cdaf2 [Wenchen Fan] fix several bugs in DateTimeUtils.stringToTimestamp
jira: https://issues.apache.org/jira/browse/SPARK-9062
Currently output type of Tokenizer is Array(String, false), which is not compatible with Word2Vec and Other transformers since their input type is Array(String, true). Seq[String] in udf will be treated as Array(String, true) by default.
I'm not sure what's the recommended way for Tokenizer to handle the null value in the input. Any suggestion will be welcome.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#7414 from hhbyyh/tokenizer and squashes the following commits:
c01bd7a [Yuhao Yang] change output type of tokenizer
Vectors.dense() should accept numbers directly, like the one in Scala. We already use it in doctests, it worked by luck.
cc mengxr jkbradley
Author: Davies Liu <davies@databricks.com>
Closes#7476 from davies/fix_vectors_dense and squashes the following commits:
e0fd292 [Davies Liu] fix Vectors.dense
The change here is to keep the cached RDDs in the graph object so that when the graph.unpersist() is called these RDDs are correctly unpersisted.
```java
import org.apache.spark.graphx._
import org.apache.spark.rdd.RDD
import org.slf4j.LoggerFactory
import org.apache.spark.graphx.util.GraphGenerators
// Create an RDD for the vertices
val users: RDD[(VertexId, (String, String))] =
sc.parallelize(Array((3L, ("rxin", "student")), (7L, ("jgonzal", "postdoc")),
(5L, ("franklin", "prof")), (2L, ("istoica", "prof"))))
// Create an RDD for edges
val relationships: RDD[Edge[String]] =
sc.parallelize(Array(Edge(3L, 7L, "collab"), Edge(5L, 3L, "advisor"),
Edge(2L, 5L, "colleague"), Edge(5L, 7L, "pi")))
// Define a default user in case there are relationship with missing user
val defaultUser = ("John Doe", "Missing")
// Build the initial Graph
val graph = Graph(users, relationships, defaultUser)
graph.cache().numEdges
graph.unpersist()
sc.getPersistentRDDs.foreach( r => println( r._2.toString))
```
Author: tien-dungle <tien-dung.le@realimpactanalytics.com>
Closes#7469 from tien-dungle/SPARK-9109_Graphx-unpersist and squashes the following commits:
8d87997 [tien-dungle] Keep the cached edge in the graph
cc chenghao-intel adrian-wang
Author: zhichao.li <zhichao.li@intel.com>
Closes#6872 from zhichao-li/conv and squashes the following commits:
6ef3b37 [zhichao.li] add unittest and comments
78d9836 [zhichao.li] polish dataframe api and add unittest
e2bace3 [zhichao.li] update to use ImplicitCastInputTypes
cbcad3f [zhichao.li] add function conv
instead of return false, throw exception when check equality between external and internal row is better.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7460 from cloud-fan/row-compare and squashes the following commits:
8a20911 [Wenchen Fan] improve equals
402daa8 [Wenchen Fan] throw exception when check equality between external and internal row
fix wrong annotation of RFormula.formula
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#7470 from yanboliang/RFormula and squashes the following commits:
61f1919 [Yanbo Liang] fix wrong annotation
In client side, the flow is SparkSubmit -> SparkContext -> yarn/Client. Since the yarn client only gets a cloned config and the staging dir is set here, it is not really possible to do re-logins in the SparkContext. So, do the initial logins in Spark Submit and do re-logins as we do now in the AM, but the Client behaves like an executor in this specific context and reads the credentials file to update the tokens. This way, even if the streaming context is started up from checkpoint - it is fine since we have logged in from SparkSubmit itself itself.
Author: Hari Shreedharan <hshreedharan@apache.org>
Closes#7394 from harishreedharan/yarn-client-login and squashes the following commits:
9a2166f [Hari Shreedharan] make it possible to use command line args and config parameters together.
de08f57 [Hari Shreedharan] Fix import order.
5c4fa63 [Hari Shreedharan] Add a comment explaining what is being done in YarnClientSchedulerBackend.
c872caa [Hari Shreedharan] Fix typo in log message.
2c80540 [Hari Shreedharan] Move token renewal to YarnClientSchedulerBackend.
0c48ac2 [Hari Shreedharan] Remove direct use of ExecutorDelegationTokenUpdater in Client.
26f8bfa [Hari Shreedharan] [SPARK-8851][YARN] In Client mode, make sure the client logs in and updates tokens.
58b1969 [Hari Shreedharan] Simple attempt 1.
Added two projections: GenerateUnsafeProjection and FromUnsafeProjection, which could be used to convert UnsafeRow from/to GenericInternalRow.
They will re-use the buffer during projection, similar to MutableProjection (without all the interface MutableProjection has).
cc rxin JoshRosen
Author: Davies Liu <davies@databricks.com>
Closes#7437 from davies/unsafe_proj2 and squashes the following commits:
dbf538e [Davies Liu] test with all the expression (only for supported types)
dc737b2 [Davies Liu] address comment
e424520 [Davies Liu] fix scala style
70e231c [Davies Liu] address comments
729138d [Davies Liu] Merge branch 'master' of github.com:apache/spark into unsafe_proj2
5a26373 [Davies Liu] unsafe projections
[[SPARK-9093] Fix single-quotes strings in SparkR - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-9093)
This is the result of lintr at the rivision:011551620faa87107a787530f074af3d9be7e695
[[SPARK-9093] The result of lintr at 011551620f](https://gist.github.com/yu-iskw/8c47acf3202796da4d01)
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#7439 from yu-iskw/SPARK-9093 and squashes the following commits:
61c391e [Yu ISHIKAWA] [SPARK-9093][SparkR] Fix single-quotes strings in SparkR
Currently we will stop project collapse when the lower projection has nondeterministic expressions. However it's overkill sometimes, we should be able to optimize `df.select(Rand(10)).select('a)` to `df.select('a)`
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7445 from cloud-fan/non-deterministic and squashes the following commits:
0deaef6 [Wenchen Fan] Improve project collapse with nondeterministic expressions
Measure lower and upper bounds for task time and use them for validation. This PR also implements `Stopwatch.toString`. This suite should finish in less than 1 second.
jkbradley pwendell
Author: Xiangrui Meng <meng@databricks.com>
Closes#7457 from mengxr/SPARK-9126 and squashes the following commits:
4b40faa [Xiangrui Meng] simplify tests
739f5bd [Xiangrui Meng] do not assert on time taken by Thread.sleep()
This PR copies the RandomForest implementation from spark.mllib to spark.ml. Note that this includes the DecisionTree implementation, but not the GradientBoostedTrees one (which will come later).
I essentially copied a minimal amount of code to spark.ml, removed the use of bins (and only used splits), and modified code only as much as necessary to get it to compile. The spark.ml implementation still uses some spark.mllib classes (privately), which can be moved in future PRs.
This refactoring will be helpful in extending the node representation to include more information, such as class probabilities.
Specifically:
* Copied code from spark.mllib to spark.ml:
* mllib.tree.DecisionTree, mllib.tree.RandomForest copied to ml.tree.impl.RandomForest (main implementation)
* NodeIdCache (needed to use splits instead of bins)
* TreePoint (use splits instead of bins)
* Added ml.tree.LearningNode used in RandomForest training (needed vars)
* Removed bins from implementation, and only used splits
* Small fix in JavaDecisionTreeRegressorSuite
CC: mengxr manishamde codedeft chouqin
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#7294 from jkbradley/dt-move-impl and squashes the following commits:
48749be [Joseph K. Bradley] cleanups based on code review, mostly style
bea9703 [Joseph K. Bradley] scala style fixes. added some scala doc
4e6d2a4 [Joseph K. Bradley] removed unnecessary use of copyValues, setParent for trees
9a4d721 [Joseph K. Bradley] cleanups. removed InfoGainStats from ml, using old one for now.
836e7d4 [Joseph K. Bradley] Fixed test suite failures
bd5e063 [Joseph K. Bradley] fixed bucketizing issue
0df3759 [Joseph K. Bradley] Need to remove use of Bucketizer
d5224a9 [Joseph K. Bradley] modified tree and forest to use moved impl
cc01823 [Joseph K. Bradley] still editing RF to get it to work
19143fb [Joseph K. Bradley] More progress, but not done yet. Rebased with master after 1.4 release.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7291 from cloud-fan/row and squashes the following commits:
a11addf [Wenchen Fan] move hashCode back to internal row
2de6180 [Wenchen Fan] making apply() call to get()
fbe1b24 [Wenchen Fan] add null check
ebdf148 [Wenchen Fan] address comments
25ef087 [Wenchen Fan] remove duplicated equals method for Row
This PR includes the following changes:
1. Remove the thread local `Accumulators.localAccums`. Instead, all Accumulators in the executors will register with its TaskContext.
2. Add an internal flag to Accumulable. For internal Accumulators, their updates will be sent to the driver via heartbeats.
Author: zsxwing <zsxwing@gmail.com>
Closes#7448 from zsxwing/accumulators and squashes the following commits:
c24bc5b [zsxwing] Add comments
bd7dcf1 [zsxwing] Add an internal flag to Accumulable and send internal accumulator updates to the driver via heartbeats
**Symptom.** If an executor in an application times out, `HeartbeatReceiver` attempts to kill it. After this happens, however, the application never gets an executor back even when there are cluster resources available.
**Cause.** The issue is that `sc.killExecutor` automatically assumes that the application wishes to adjust its resource requirements permanently downwards. This is not the intention in `HeartbeatReceiver`, however, which simply wants a replacement for the expired executor.
**Fix.** Differentiate between the intention to kill and the intention to replace an executor with a fresh one. More details can be found in the commit message.
Author: Andrew Or <andrew@databricks.com>
Closes#7107 from andrewor14/heartbeat-no-kill and squashes the following commits:
1cd2cd7 [Andrew Or] Add regression test for SPARK-8119
25a347d [Andrew Or] Reuse more code in scheduler backend
31ebd40 [Andrew Or] Differentiate between kill and replace
Mesos supports framework authentication and role to be set per framework, which the role is used to identify the framework's role which impacts the sharing weight of resource allocation and optional authentication information to allow the framework to be connected to the master.
Author: Timothy Chen <tnachen@gmail.com>
Closes#4960 from tnachen/mesos_fw_auth and squashes the following commits:
0f9f03e [Timothy Chen] Fix review comments.
8f9488a [Timothy Chen] Fix rebase
f7fc2a9 [Timothy Chen] Add mesos role, auth and secret.
andrewor14 davies vanzin can you take a look at this? thanks
Author: Lianhui Wang <lianhuiwang09@gmail.com>
Closes#7438 from lianhuiwang/SPARK-8646 and squashes the following commits:
cb3f12d [Lianhui Wang] add whitespace
6d874a6 [Lianhui Wang] support pyspark for yarn-client
