- Jul 15, 2015
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Feynman Liang authored
Fixes implementation of `explainedVariance` and `r2` to be consistent with their definitions as described in [SPARK-9005](https://issues.apache.org/jira/browse/SPARK-9005). Author: Feynman Liang <fliang@databricks.com> Closes #7361 from feynmanliang/SPARK-9005-RegressionMetrics-bugs and squashes the following commits: f1112fc [Feynman Liang] Add explainedVariance formula 1a3d098 [Feynman Liang] SROwen code review comments 08a0e1b [Feynman Liang] Fix pyspark tests db8605a [Feynman Liang] Style fix bde9761 [Feynman Liang] Fix RegressionMetrics tests, relax assumption predictor is unbiased c235de0 [Feynman Liang] Fix RegressionMetrics tests 4c4e56f [Feynman Liang] Fix RegressionMetrics computation of explainedVariance and r2
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Steve Loughran authored
fix teardown to skip table delete if hive context is null Author: Steve Loughran <stevel@hortonworks.com> Closes #7425 from steveloughran/stevel/patches/SPARK-9070-JavaDataFrameSuite-NPE and squashes the following commits: 1982d38 [Steve Loughran] SPARK-9070 JavaDataFrameSuite teardown NPEs if setup failed
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Shuo Xiang authored
jkbradley I put the elastic net under the **Algorithm guide** section. Also add the formula of elastic net in mllib-linear `mllib-linear-methods#regularizers`. dbtsai I left the code tab for you to add example code. Do you think it is the right place? Author: Shuo Xiang <shuoxiangpub@gmail.com> Closes #6504 from coderxiang/elasticnet and squashes the following commits: f6061ee [Shuo Xiang] typo 90a7c88 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into elasticnet 0610a36 [Shuo Xiang] move out the elastic net to ml-linear-methods 8747190 [Shuo Xiang] merge master 706d3f7 [Shuo Xiang] add python code 9bc2b4c [Shuo Xiang] typo db32a60 [Shuo Xiang] java code sample aab3b3a [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into elasticnet a0dae07 [Shuo Xiang] simplify code d8616fd [Shuo Xiang] Update the definition of elastic net. Add scala code; Mention Lasso and Ridge df5bd14 [Shuo Xiang] use wikipeida page in ml-linear-methods.md 78d9366 [Shuo Xiang] address comments 8ce37c2 [Shuo Xiang] Merge branch 'elasticnet' of github.com:coderxiang/spark into elasticnet 8f24848 [Shuo Xiang] Merge branch 'elastic-net-doc' of github.com:coderxiang/spark into elastic-net-doc 998d766 [Shuo Xiang] Merge branch 'elastic-net-doc' of github.com:coderxiang/spark into elastic-net-doc 89f10e4 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into elastic-net-doc 9262a72 [Shuo Xiang] update 7e07d12 [Shuo Xiang] update b32f21a [Shuo Xiang] add doc for elastic net in sparkml 937eef1 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into elastic-net-doc 180b496 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' aa0717d [Shuo Xiang] Merge remote-tracking branch 'upstream/master' 5f109b4 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' c5c5bfe [Shuo Xiang] Merge remote-tracking branch 'upstream/master' 98804c9 [Shuo Xiang] fix bug in topBykey and update test
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Liang-Chi Hsieh authored
This is a minor fixing for #7355 to allow spaces in the beginning and ending of string parsed to `Interval`. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #7390 from viirya/fix_interval_string and squashes the following commits: 9eb6831 [Liang-Chi Hsieh] Use trim instead of modifying regex. 57861f7 [Liang-Chi Hsieh] Fix scala style. 815a9cb [Liang-Chi Hsieh] Slightly modify regex to allow spaces in the beginning and ending of string.
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zhichao.li authored
https://issues.apache.org/jira/browse/SPARK-8221 One concern is the result would be negative if the divisor is not positive( i.e pmod(7, -3) ), but the behavior is the same as hive. Author: zhichao.li <zhichao.li@intel.com> Closes #6783 from zhichao-li/pmod2 and squashes the following commits: 7083eb9 [zhichao.li] update to the latest type checking d26dba7 [zhichao.li] add pmod
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Wenchen Fan authored
We can keep expressions' mutable states in generated class(like `SpecificProjection`) as member variables, so that we can read and modify them inside codegened expressions. Author: Wenchen Fan <cloud0fan@outlook.com> Closes #7392 from cloud-fan/mutable-state and squashes the following commits: eb3a221 [Wenchen Fan] fix order 73144d8 [Wenchen Fan] naming improvement 318f41d [Wenchen Fan] address more comments d43b65d [Wenchen Fan] address comments fd45c7a [Wenchen Fan] Support mutable state in code gen expressions
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Liang-Chi Hsieh authored
JIRA: https://issues.apache.org/jira/browse/SPARK-8840 Currently the type coercion rules don't include float type. This PR simply adds it. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #7280 from viirya/add_r_float_coercion and squashes the following commits: c86dc0e [Liang-Chi Hsieh] For comments. dbf0c1b [Liang-Chi Hsieh] Implicitly convert Double to Float based on provided schema. 733015a [Liang-Chi Hsieh] Add test case for DataFrame with float type. 30c2a40 [Liang-Chi Hsieh] Update test case. 52b5294 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into add_r_float_coercion 6f9159d [Liang-Chi Hsieh] Add another test case. 8db3244 [Liang-Chi Hsieh] schema also needs to support float. add test case. 0dcc992 [Liang-Chi Hsieh] Add float coercion on SparkR.
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MechCoder authored
This adds Pylint checks to PySpark. For now this lazy installs using easy_install to /dev/pylint (similar to the pep8 script). We still need to figure out what rules to be allowed. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7241 from MechCoder/pylint and squashes the following commits: 2fc7291 [MechCoder] Remove pylint test fail 6d883a2 [MechCoder] Silence warnings and make pylint tests fail to check if it works in jenkins f3a5e17 [MechCoder] undefined-variable ca8b749 [MechCoder] Minor changes 71629f8 [MechCoder] remove trailing whitespace 8498ff9 [MechCoder] Remove blacklisted arguments and pointless statements check 1dbd094 [MechCoder] Disable all checks for now 8b8aa8a [MechCoder] Add pylint configuration file 7871bb1 [MechCoder] [SPARK-8706] [PySpark] [Project infra] Add pylint checks to PySpark
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zsxwing authored
If running the following codes, the task table will be broken because accumulators aren't escaped. ``` val a = sc.accumulator(1, "<table>") sc.parallelize(1 to 10).foreach(i => a += i) ``` Before this fix, <img width="1348" alt="screen shot 2015-07-13 at 8 02 44 pm" src="https://cloud.githubusercontent.com/assets/1000778/8649295/b17c491e-299b-11e5-97ee-4e6a64074c4f.png"> After this fix, <img width="1355" alt="screen shot 2015-07-13 at 8 14 32 pm" src="https://cloud.githubusercontent.com/assets/1000778/8649337/f9e9c9ec-299b-11e5-927e-35c0a2f897f5.png"> Author: zsxwing <zsxwing@gmail.com> Closes #7369 from zsxwing/SPARK-9012 and squashes the following commits: a83c9b6 [zsxwing] Escape Accumulators in the task table
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Reynold Xin authored
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Feynman Liang authored
Improves the performance of LocalPrefixSpan by implementing optimizations proposed in [SPARK-8997](https://issues.apache.org/jira/browse/SPARK-8997) Author: Feynman Liang <fliang@databricks.com> Author: Feynman Liang <feynman.liang@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #7360 from feynmanliang/SPARK-8997-improve-prefixspan and squashes the following commits: 59db2f5 [Feynman Liang] Merge pull request #1 from mengxr/SPARK-8997 91e4357 [Xiangrui Meng] update LocalPrefixSpan impl 9212256 [Feynman Liang] MengXR code review comments f055d82 [Feynman Liang] Fix failing scalatest 2e00cba [Feynman Liang] Depth first projections 70b93e3 [Feynman Liang] Performance improvements in LocalPrefixSpan, fix tests
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Yijie Shen authored
JIRA: https://issues.apache.org/jira/browse/SPARK-8279 Author: Yijie Shen <henry.yijieshen@gmail.com> Closes #6938 from yijieshen/udf_round_3 and squashes the following commits: 07a124c [Yijie Shen] remove useless def children 392b65b [Yijie Shen] add negative scale test in DecimalSuite 61760ee [Yijie Shen] address reviews 302a78a [Yijie Shen] Add dataframe function test 31dfe7c [Yijie Shen] refactor round to make it readable 8c7a949 [Yijie Shen] rebase & inputTypes update 9555e35 [Yijie Shen] tiny style fix d10be4a [Yijie Shen] use TypeCollection to specify wanted input and implicit cast c3b9839 [Yijie Shen] rely on implict cast to handle string input b0bff79 [Yijie Shen] make round's inner method's name more meaningful 9bd6930 [Yijie Shen] revert accidental change e6f44c4 [Yijie Shen] refactor eval and genCode 1b87540 [Yijie Shen] modify checkInputDataTypes using foldable 5486b2d [Yijie Shen] DataFrame API modification 2077888 [Yijie Shen] codegen versioned eval 6cd9a64 [Yijie Shen] refactor Round's constructor 9be894e [Yijie Shen] add round functions in o.a.s.sql.functions 7c83e13 [Yijie Shen] more tests on round 56db4bb [Yijie Shen] Add decimal support to Round 7e163ae [Yijie Shen] style fix 653d047 [Yijie Shen] Add math function round
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FlytxtRnD authored
This allows Kmeans to be initialized using an existing set of cluster centers provided as a KMeansModel object. This mode of initialization performs a single run. Author: FlytxtRnD <meethu.mathew@flytxt.com> Closes #6737 from FlytxtRnD/Kmeans-8018 and squashes the following commits: 94b56df [FlytxtRnD] style correction ef95ee2 [FlytxtRnD] style correction c446c58 [FlytxtRnD] documentation and numRuns warning change 06d13ef [FlytxtRnD] numRuns corrected d12336e [FlytxtRnD] numRuns variable modifications 07f8554 [FlytxtRnD] remove setRuns from setIntialModel e721dfe [FlytxtRnD] Merge remote-tracking branch 'upstream/master' into Kmeans-8018 242ead1 [FlytxtRnD] corrected == to === in assert 714acb5 [FlytxtRnD] added numRuns 60c8ce2 [FlytxtRnD] ignore runs parameter and initialModel test suite changed 582e6d9 [FlytxtRnD] Merge remote-tracking branch 'upstream/master' into Kmeans-8018 3f5fc8e [FlytxtRnD] test case modified and one runs condition added cd5dc5c [FlytxtRnD] Merge remote-tracking branch 'upstream/master' into Kmeans-8018 16f1b53 [FlytxtRnD] Merge branch 'Kmeans-8018', remote-tracking branch 'upstream/master' into Kmeans-8018 e9c35d7 [FlytxtRnD] Remove getInitialModel and match cluster count criteria 6959861 [FlytxtRnD] Accept initial cluster centers in KMeans
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Yu ISHIKAWA authored
I implemented the Python API for LDA. But I didn't implemented a method for `LDAModel.describeTopics()`, beause it's a little hard to implement it now. And adding document about that and an example code would fit for another issue. TODO: LDAModel.describeTopics() in Python must be also implemented. But it would be nice to fit for another issue. Implementing it is a little hard, since the return value of `describeTopics` in Scala consists of Tuple classes. Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #6791 from yu-iskw/SPARK-6259 and squashes the following commits: 6855f59 [Yu ISHIKAWA] LDA inherits object 28bd165 [Yu ISHIKAWA] Change the place of testing code d7a332a [Yu ISHIKAWA] Remove the doc comment about the optimizer's default value 083e226 [Yu ISHIKAWA] Add the comment about the supported values and the default value of `optimizer` 9f8bed8 [Yu ISHIKAWA] Simplify casting faa9764 [Yu ISHIKAWA] Add some comments for the LDA paramters 98f645a [Yu ISHIKAWA] Remove the interface for `describeTopics`. Because it is not implemented. 57ac03d [Yu ISHIKAWA] Remove the unnecessary import in Python unit testing 73412c3 [Yu ISHIKAWA] Fix the typo 2278829 [Yu ISHIKAWA] Fix the indentation 39514ec [Yu ISHIKAWA] Modify how to cast the input data 8117e18 [Yu ISHIKAWA] Fix the validation problems by `lint-scala` 77fd1b7 [Yu ISHIKAWA] Not use LabeledPoint 68f0653 [Yu ISHIKAWA] Support some parameters for `ALS.train()` in Python 25ef2ac [Yu ISHIKAWA] Resolve conflicts with rebasing
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Michael Armbrust authored
Revert #7216 and #7386. These patch seems to be causing quite a few test failures: ``` Caused by: java.lang.reflect.InvocationTargetException at sun.reflect.GeneratedMethodAccessor322.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(HiveShim.scala:351) at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getPartitionsByFilter$1.apply(ClientWrapper.scala:320) at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$getPartitionsByFilter$1.apply(ClientWrapper.scala:318) at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:180) at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:135) at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:172) at org.apache.spark.sql.hive.client.ClientWrapper.getPartitionsByFilter(ClientWrapper.scala:318) at org.apache.spark.sql.hive.client.HiveTable.getPartitions(ClientInterface.scala:78) at org.apache.spark.sql.hive.MetastoreRelation.getHiveQlPartitions(HiveMetastoreCatalog.scala:670) at org.apache.spark.sql.hive.execution.HiveTableScan.doExecute(HiveTableScan.scala:137) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:90) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:90) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:89) at org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:164) at org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:151) at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48) ... 85 more Caused by: MetaException(message:Filtering is supported only on partition keys of type string) at org.apache.hadoop.hive.metastore.parser.ExpressionTree$FilterBuilder.setError(ExpressionTree.java:185) at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.getJdoFilterPushdownParam(ExpressionTree.java:452) at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.generateJDOFilterOverPartitions(ExpressionTree.java:357) at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.generateJDOFilter(ExpressionTree.java:279) at org.apache.hadoop.hive.metastore.parser.ExpressionTree$TreeNode.generateJDOFilter(ExpressionTree.java:243) at org.apache.hadoop.hive.metastore.parser.ExpressionTree.generateJDOFilterFragment(ExpressionTree.java:590) at org.apache.hadoop.hive.metastore.ObjectStore.makeQueryFilterString(ObjectStore.java:2417) at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsViaOrmFilter(ObjectStore.java:2029) at org.apache.hadoop.hive.metastore.ObjectStore.access$500(ObjectStore.java:146) at org.apache.hadoop.hive.metastore.ObjectStore$4.getJdoResult(ObjectStore.java:2332) ``` https://amplab.cs.berkeley.edu/jenkins/view/Spark-QA-Test/job/Spark-Master-Maven-with-YARN/2945/HADOOP_PROFILE=hadoop-2.4,label=centos/testReport/junit/org.apache.spark.sql.hive.execution/SortMergeCompatibilitySuite/auto_sortmerge_join_16/ Author: Michael Armbrust <michael@databricks.com> Closes #7409 from marmbrus/revertMetastorePushdown and squashes the following commits: 92fabd3 [Michael Armbrust] Revert SPARK-6910 and SPARK-9027 5d3bdf2 [Michael Armbrust] Revert "[SPARK-9027] [SQL] Generalize metastore predicate pushdown"
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Reynold Xin authored
This patch makes the following changes: 1. ExpectsInputTypes only defines expected input types, but does not perform any implicit type casting. 2. ImplicitCastInputTypes is a new trait that defines both expected input types, as well as performs implicit type casting. 3. BinaryOperator has a new abstract function "inputType", which defines the expected input type for both left/right. Concrete BinaryOperator expressions no longer perform any implicit type casting. 4. For BinaryOperators, convert NullType (i.e. null literals) into some accepted type so BinaryOperators don't need to handle NullTypes. TODOs needed: fix unit tests for error reporting. I'm intentionally not changing anything in aggregate expressions because yhuai is doing a big refactoring on that right now. Author: Reynold Xin <rxin@databricks.com> Closes #7348 from rxin/typecheck and squashes the following commits: 8fcf814 [Reynold Xin] Fixed ordering of cases. 3bb63e7 [Reynold Xin] Style fix. f45408f [Reynold Xin] Comment update. aa7790e [Reynold Xin] Moved RemoveNullTypes into ImplicitTypeCasts. 438ea07 [Reynold Xin] space d55c9e5 [Reynold Xin] Removes NullTypes. 360d124 [Reynold Xin] Fixed the rule. fb66657 [Reynold Xin] Convert NullType into some accepted type for BinaryOperators. 2e22330 [Reynold Xin] Fixed unit tests. 4932d57 [Reynold Xin] Style fix. d061691 [Reynold Xin] Rename existing ExpectsInputTypes -> ImplicitCastInputTypes. e4727cc [Reynold Xin] BinaryOperator should not be doing implicit cast. d017861 [Reynold Xin] Improve expression type checking.
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Sun Rui authored
Author: Sun Rui <rui.sun@intel.com> Closes #7395 from sun-rui/SPARK-8808 and squashes the following commits: ce603bc [Sun Rui] Use '<-' instead of '='. 88590b1 [Sun Rui] Use '<-' instead of '='.
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- Jul 14, 2015
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Patrick Wendell authored
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jerryshao authored
[SPARK-5523] [CORE] [STREAMING] Add a cache for hostname in TaskMetrics to decrease the memory usage and GC overhead Hostname in TaskMetrics will be created through deserialization, mostly the number of hostname is only the order of number of cluster node, so adding a cache layer to dedup the object could reduce the memory usage and alleviate GC overhead, especially for long-running and fast job generation applications like Spark Streaming. Author: jerryshao <saisai.shao@intel.com> Author: Saisai Shao <saisai.shao@intel.com> Closes #5064 from jerryshao/SPARK-5523 and squashes the following commits: 3e2412a [jerryshao] Address the comments b092a81 [Saisai Shao] Add a pool to cache the hostname
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huangzhaowei authored
Add a configuration to set checkpoint directory for convenience to user. [Jira Address](https://issues.apache.org/jira/browse/SPARK-8820) Author: huangzhaowei <carlmartinmax@gmail.com> Closes #7218 from SaintBacchus/SPARK-8820 and squashes the following commits: d49fe4b [huangzhaowei] Rename the configuration name 66ea47c [huangzhaowei] Add the unit test. dd0acc1 [huangzhaowei] [SPARK-8820][Streaming] Add a configuration to set checkpoint dir.
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Josh Rosen authored
SPARK-8317 changed the SQL Exchange operator so that it no longer pushed sorting into Spark's shuffle layer, a change which allowed more efficient SQL-specific sorters to be used. This patch performs some leftover cleanup based on those changes: - Exchange's constructor should no longer accept a `newOrdering` since it's no longer used and no longer works as expected. - `addOperatorsIfNecessary` looked at shuffle input's output ordering to decide whether to sort, but this is the wrong node to be examining: it needs to look at whether the post-shuffle node has the right ordering, since shuffling will not preserve row orderings. Thanks to davies for spotting this. Author: Josh Rosen <joshrosen@databricks.com> Closes #7407 from JoshRosen/SPARK-9050 and squashes the following commits: e70be50 [Josh Rosen] No need to wrap line e866494 [Josh Rosen] Refactor addOperatorsIfNecessary to make code clearer 2e467da [Josh Rosen] Remove `newOrdering` from Exchange.
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Josh Rosen authored
This fixes a compilation break in under Scala 2.11: ``` [error] /home/jenkins/workspace/Spark-Master-Scala211-Compile/sql/catalyst/src/main/java/org/apache/spark/sql/execution/UnsafeExternalRowSorter.java:135: error: <anonymous org.apache.spark.sql.execution.UnsafeExternalRowSorter$1> is not abstract and does not override abstract method <B>minBy(Function1<InternalRow,B>,Ordering<B>) in TraversableOnce [error] return new AbstractScalaRowIterator() { [error] ^ [error] where B,A are type-variables: [error] B extends Object declared in method <B>minBy(Function1<A,B>,Ordering<B>) [error] A extends Object declared in interface TraversableOnce [error] 1 error ``` The workaround for this is to make `AbstractScalaRowIterator` into a concrete class. Author: Josh Rosen <joshrosen@databricks.com> Closes #7405 from JoshRosen/SPARK-9045 and squashes the following commits: cbcbb4c [Josh Rosen] Forgot that we can't use the ??? operator anymore 577ba60 [Josh Rosen] [SPARK-9045] Fix Scala 2.11 build break in UnsafeExternalRowSorter. -
Josh Rosen authored
This pull request adds a Scalastyle regex rule which fails the style check if `Class.forName` is used directly. `Class.forName` always loads classes from the default / system classloader, but in a majority of cases, we should be using Spark's own `Utils.classForName` instead, which tries to load classes from the current thread's context classloader and falls back to the classloader which loaded Spark when the context classloader is not defined. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/7350) <!-- Reviewable:end --> Author: Josh Rosen <joshrosen@databricks.com> Closes #7350 from JoshRosen/ban-Class.forName and squashes the following commits: e3e96f7 [Josh Rosen] Merge remote-tracking branch 'origin/master' into ban-Class.forName c0b7885 [Josh Rosen] Hopefully fix the last two cases d707ba7 [Josh Rosen] Fix uses of Class.forName that I missed in my first cleanup pass 046470d [Josh Rosen] Merge remote-tracking branch 'origin/master' into ban-Class.forName 62882ee [Josh Rosen] Fix uses of Class.forName or add exclusion. d9abade [Josh Rosen] Add stylechecker rule to ban uses of Class.forName
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Sean Owen authored
Add predictProbabilities to Naive Bayes, return class probabilities. Continues https://github.com/apache/spark/pull/6761 Author: Sean Owen <sowen@cloudera.com> Closes #7376 from srowen/SPARK-4362 and squashes the following commits: 23d5a76 [Sean Owen] Fix model.labels -> model.theta 95d91fb [Sean Owen] Check that predicted probabilities sum to 1 b32d1c8 [Sean Owen] Add predictProbabilities to Naive Bayes, return class probabilities
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Liang-Chi Hsieh authored
JIRA: https://issues.apache.org/jira/browse/SPARK-8800 Previously, we turn to Java BigDecimal's divide with specified ROUNDING_MODE to avoid non-terminating decimal expansion problem. However, as JihongMA reported, for the division operation on some specific values, we get inaccurate results. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #7212 from viirya/fix_decimal4 and squashes the following commits: 4205a0a [Liang-Chi Hsieh] Fix inaccuracy precision/scale of Decimal division operation.
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zsxwing authored
Replace #6634 This PR adds `SparkListenerBlockUpdated` to SparkListener so that it can monitor all block update infos that are sent to `BlockManagerMasaterEndpoint`, and also add new tables in the Storage tab to display the stream block infos.  Author: zsxwing <zsxwing@gmail.com> Closes #6672 from zsxwing/SPARK-4072-2 and squashes the following commits: df2c1d8 [zsxwing] Use xml query to check the xml elements 54d54af [zsxwing] Add unit tests for StoragePage e29fb53 [zsxwing] Update as per TD's comments ccbee07 [zsxwing] Fix the code style 6dc42b4 [zsxwing] Fix the replication level of blocks 450fad1 [zsxwing] Merge branch 'master' into SPARK-4072-2 1e9ef52 [zsxwing] Don't categorize by Executor ID ca0ab69 [zsxwing] Fix the code style 3de2762 [zsxwing] Make object BlockUpdatedInfo private e95b594 [zsxwing] Add 'Aggregated Stream Block Metrics by Executor' table ba5d0d1 [zsxwing] Refactor the unit test to improve the readability 4bbe341 [zsxwing] Revert JsonProtocol and don't log SparkListenerBlockUpdated b464dd1 [zsxwing] Add onBlockUpdated to EventLoggingListener 5ba014c [zsxwing] Fix the code style 0b1e47b [zsxwing] Add a developer api BlockUpdatedInfo 04838a9 [zsxwing] Fix the code style 2baa161 [zsxwing] Add unit tests 80f6c6d [zsxwing] Address comments 797ee4b [zsxwing] Display Streaming blocks in Streaming UI
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Andrew Ray authored
See https://github.com/aray/e2d/blob/master/EdgePartition2D.ipynb Author: Andrew Ray <ray.andrew@gmail.com> Closes #7104 from aray/edge-partition-2d-improvement and squashes the following commits: 3729f84 [Andrew Ray] correct bounds and remove unneeded comments 97f8464 [Andrew Ray] change less 5141ab4 [Andrew Ray] Merge branch 'master' into edge-partition-2d-improvement 925fd2c [Andrew Ray] use new interface for partitioning 001bfd0 [Andrew Ray] Refactor PartitionStrategy so that we can return a prtition function for a given number of parts. To keep compatibility we define default methods that translate between the two implementation options. Made EdgePartition2D use old strategy when we have a perfect square and implement new interface. 5d42105 [Andrew Ray] % -> / 3560084 [Andrew Ray] Merge branch 'master' into edge-partition-2d-improvement f006364 [Andrew Ray] remove unneeded comments cfa2c5e [Andrew Ray] Modifications to EdgePartition2D so that it works for non perfect squares.
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Josh Rosen authored
BlockObjectWriter has only one concrete non-test class, DiskBlockObjectWriter. In order to simplify the code in preparation for other refactorings, I think that we should remove this base class and have only DiskBlockObjectWriter. While at one time we may have planned to have multiple BlockObjectWriter implementations, that doesn't seem to have happened, so the extra abstraction seems unnecessary. Author: Josh Rosen <joshrosen@databricks.com> Closes #7391 from JoshRosen/shuffle-write-interface-refactoring and squashes the following commits: c418e33 [Josh Rosen] Fix compilation 5047995 [Josh Rosen] Fix comments d5dc548 [Josh Rosen] Update references in comments 89dc797 [Josh Rosen] Rename test suite. 5755918 [Josh Rosen] Remove unnecessary val in case class 1607c91 [Josh Rosen] Merge BlockObjectWriter and DiskBlockObjectWriter
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Andrew Or authored
As of #7173 we expect executors to properly register with the driver before responding to their heartbeats. This behavior is not matched in local mode. This patch adds the missing event that needs to be posted. Author: Andrew Or <andrew@databricks.com> Closes #7382 from andrewor14/fix-local-heartbeat and squashes the following commits: 1258bdf [Andrew Or] Post ExecutorAdded event to local executor
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Brennon York authored
added --force flag to manually download, if necessary, and use a built-in version of maven best for spark Author: Brennon York <brennon.york@capitalone.com> Closes #7374 from brennonyork/SPARK-8933 and squashes the following commits: d673127 [Brennon York] added --force flag to manually download, if necessary, and use a built-in version of maven best for spark
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Michael Armbrust authored
Add support for pushing down metastore filters that are in different orders and add some unit tests. Author: Michael Armbrust <michael@databricks.com> Closes #7386 from marmbrus/metastoreFilters and squashes the following commits: 05a4524 [Michael Armbrust] [SPARK-9027][SQL] Generalize metastore predicate pushdown
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Wenchen Fan authored
Author: Wenchen Fan <cloud0fan@outlook.com> Closes #7389 from cloud-fan/case-when and squashes the following commits: ea4b6ba [Wenchen Fan] shortcut for case key when
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Daoyuan Wang authored
This is a follow up of remaining comments from #6851 Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #7387 from adrian-wang/udflgfollow and squashes the following commits: 6163e62 [Daoyuan Wang] add skipping null values e8c2e09 [Daoyuan Wang] use seq 8362966 [Daoyuan Wang] pr6851 follow up
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zhaishidan authored
[SPARK-9010] [DOCUMENTATION] Improve the Spark Configuration document about `spark.kryoserializer.buffer` The meaning of spark.kryoserializer.buffer should be "Initial size of Kryo's serialization buffer. Note that there will be one buffer per core on each worker. This buffer will grow up to spark.kryoserializer.buffer.max if needed.". The spark.kryoserializer.buffer.max.mb is out-of-date in spark 1.4. Author: zhaishidan <zhaishidan@haizhi.com> Closes #7393 from stanzhai/master and squashes the following commits: 69729ef [zhaishidan] fix document error about spark.kryoserializer.buffer.max.mb
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Joseph Gonzalez authored
These are minor corrections in the documentation of several classes that are preventing: ```bash build/sbt publish-local ``` I believe this might be an issue associated with running JDK8 as ankurdave does not appear to have this issue in JDK7. Author: Joseph Gonzalez <joseph.e.gonzalez@gmail.com> Closes #7354 from jegonzal/FixingJavadocErrors and squashes the following commits: 6664b7e [Joseph Gonzalez] making requested changes 2e16d89 [Joseph Gonzalez] Fixing errors in javadocs that prevents build/sbt publish-local from completing.
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- Jul 13, 2015
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Cheolsoo Park authored
This PR supersedes my old one #6921. Since my patch has changed quite a bit, I am opening a new PR to make it easier to review. The changes include- * Implement `toMetastoreFilter()` function in `HiveShim` that takes `Seq[Expression]` and converts them into a filter string for Hive metastore. * This functions matches all the `AttributeReference` + `BinaryComparisonOp` + `Integral/StringType` patterns in `Seq[Expression]` and fold them into a string. * Change `hiveQlPartitions` field in `MetastoreRelation` to `getHiveQlPartitions()` function that takes a filter string parameter. * Call `getHiveQlPartitions()` in `HiveTableScan` with a filter string. But there are some cases in which predicate pushdown is disabled- Case | Predicate pushdown ------- | ----------------------------- Hive integral and string types | Yes Hive varchar type | No Hive 0.13 and newer | Yes Hive 0.12 and older | No convertMetastoreParquet=false | Yes convertMetastoreParquet=true | No In case of `convertMetastoreParquet=true`, predicates are not pushed down because this conversion happens in an `Analyzer` rule (`HiveMetastoreCatalog.ParquetConversions`). At this point, `HiveTableScan` hasn't run, so predicates are not available. But reading the source code, I think it is intentional to convert the entire Hive table w/ all the partitions into `ParquetRelation` because then `ParquetRelation` can be cached and reused for any query against that table. Please correct me if I am wrong. cc marmbrus Author: Cheolsoo Park <cheolsoop@netflix.com> Closes #7216 from piaozhexiu/SPARK-6910-2 and squashes the following commits: aa1490f [Cheolsoo Park] Fix ordering of imports c212c4d [Cheolsoo Park] Incorporate review comments 5e93f9d [Cheolsoo Park] Predicate pushdown into Hive metastore
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Neelesh Srinivas Salian authored
The issue link: https://issues.apache.org/jira/browse/SPARK-8743 Deregister Codahale metrics for streaming when StreamingContext is closed Design: Adding the method calls in the appropriate start() and stop () methods for the StreamingContext Actions in the PullRequest: 1) Added the registerSource method call to the start method for the Streaming Context. 2) Added the removeSource method to the stop method. 3) Added comments for both 1 and 2 and comment to show initialization of the StreamingSource 4) Added a test case to check for both registration and de-registration of metrics Previous closed PR for reference: https://github.com/apache/spark/pull/7250 Author: Neelesh Srinivas Salian <nsalian@cloudera.com> Closes #7362 from nssalian/branch-SPARK-8743 and squashes the following commits: 7d998a3 [Neelesh Srinivas Salian] Removed the Thread.sleep() call 8b26397 [Neelesh Srinivas Salian] Moved the scalatest.{} import 0e8007a [Neelesh Srinivas Salian] moved import org.apache.spark{} to correct place daedaa5 [Neelesh Srinivas Salian] Corrected Ordering of imports 8873180 [Neelesh Srinivas Salian] Removed redundancy in imports 59227a4 [Neelesh Srinivas Salian] Changed the ordering of the imports to classify scala and spark imports d8cb577 [Neelesh Srinivas Salian] Added registerSource to start() and removeSource to stop(). Wrote a test to check the registration and de-registration
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Hari Shreedharan authored
Author: Hari Shreedharan <hshreedharan@apache.org> Closes #6939 from harishreedharan/upgrade-flume-1.6.0 and squashes the following commits: 94b80ae [Hari Shreedharan] [SPARK-8533][Streaming] Upgrade Flume to 1.6.0
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Vinod K C authored
Author: Vinod K C <vinod.kc@huawei.com> Closes #7040 from vinodkc/fix_CaseKeyWhen_equalNullSafe and squashes the following commits: be5e641 [Vinod K C] Renamed equalNullSafe to threeValueEquals aac9f67 [Vinod K C] Updated test suite and genCode method f2d0b53 [Vinod K C] Fix equalNullSafe comparison
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Vinod K C authored
Removed private[ml] from Generated documentation Author: Vinod K C <vinod.kc@huawei.com> Closes #7367 from vinodkc/fix_sharedparmascodegen and squashes the following commits: 4fa3c8f [Vinod K C] Adding auto generated code 7e19025 [Vinod K C] Removed private[ml]
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