- May 12, 2015
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zsxwing authored
#5526 uses `Job.getInstance`, which does not exist in the old Hadoop versions. Just use `new Job` to replace it. cc liancheng Author: zsxwing <zsxwing@gmail.com> Closes #6095 from zsxwing/hotfix and squashes the following commits: b0c2049 [zsxwing] Use the old Job API to support old Hadoop versions
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Xiangrui Meng authored
Remove `Param` and `Params` from `pyspark.ml` and add a section in the doc. brkyvz Author: Xiangrui Meng <meng@databricks.com> Closes #6094 from mengxr/SPARK-7572 and squashes the following commits: 022abd6 [Xiangrui Meng] do not import Param/Params under spark.ml
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Tathagata Das authored
[SPARK-7554] [STREAMING] Throw exception when an active/stopped StreamingContext is used to create DStreams and output operations Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #6099 from tdas/SPARK-7554 and squashes the following commits: 2cd4158 [Tathagata Das] Throw exceptions on attempts to add stuff to active and stopped contexts.
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Xiangrui Meng authored
`RankingMetrics` contains a ClassTag, which is hard to create in Java. This PR adds a factory method `of` for Java users. coderxiang Author: Xiangrui Meng <meng@databricks.com> Closes #6098 from mengxr/SPARK-7528 and squashes the following commits: e5d57ae [Xiangrui Meng] make RankingMetrics Java-friendly
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Tathagata Das authored
In a REPL/notebook environment, its very easy to lose a reference to a StreamingContext by overriding the variable name. So if you happen to execute the following commands ``` val ssc = new StreamingContext(...) // cmd 1 ssc.start() // cmd 2 ... val ssc = new StreamingContext(...) // accidentally run cmd 1 again ``` The value of ssc will be overwritten. Now you can neither start the new context (as only one context can be started), nor stop the previous context (as the reference is lost). Hence its best to maintain a singleton reference to the active context, so that we never loose reference for the active context. Since this problem occurs useful in REPL environments, its best to add this as an Experimental support in the Scala API only so that it can be used in Scala REPLs and notebooks. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #6070 from tdas/SPARK-7553 and squashes the following commits: 731c9a1 [Tathagata Das] Fixed style a797171 [Tathagata Das] Added more unit tests 19fc70b [Tathagata Das] Added :: Experimental :: in docs 64706c9 [Tathagata Das] Fixed test 634db5d [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into SPARK-7553 3884a25 [Tathagata Das] Fixing test bug d37a846 [Tathagata Das] Added getActive and getActiveOrCreate
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Joseph K. Bradley authored
Minor cleanups discussed with [~mengxr]: * move OneVsRest from reduction to classification sub-package * make model constructor private Some doc cleanups too CC: harsha2010 Could you please verify this looks OK? Thanks! Author: Joseph K. Bradley <joseph@databricks.com> Closes #6097 from jkbradley/onevsrest-cleanup and squashes the following commits: 4ecd48d [Joseph K. Bradley] org imports 430b065 [Joseph K. Bradley] moved OneVsRest from reduction subpackage to classification. small java doc style fixes 9f8b9b9 [Joseph K. Bradley] Small cleanups to OneVsRest. Made model constructor private to ml package.
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Joseph K. Bradley authored
Added feature transformer subsection to spark.ml guide, with HashingTF and Tokenizer. Added JavaHashingTFSuite to test Java examples in new guide. I've run Scala, Python examples in the Spark/PySpark shells. I ran the Java examples via the test suite (with small modifications for printing). CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #6093 from jkbradley/hashingtf-guide and squashes the following commits: d5d213f [Joseph K. Bradley] small fix dd6e91a [Joseph K. Bradley] fixes from code review of user guide 33c3ff9 [Joseph K. Bradley] small fix bc6058c [Joseph K. Bradley] fix link 361a174 [Joseph K. Bradley] Added subsection for feature transformers to spark.ml guide, with HashingTF and Tokenizer. Added JavaHashingTFSuite to test Java examples in new guide
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Yuhao Yang authored
jira: https://issues.apache.org/jira/browse/SPARK-7496 Update LDA subsection of clustering section of MLlib programming guide to include OnlineLDA. Author: Yuhao Yang <hhbyyh@gmail.com> Closes #6046 from hhbyyh/ldaDocument and squashes the following commits: 4b6fbfa [Yuhao Yang] add online paper and some comparison fd4c983 [Yuhao Yang] update lda document for optimizers
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zsxwing authored
[SPARK-7406] [STREAMING] [WEBUI] Add tooltips for "Scheduling Delay", "Processing Time" and "Total Delay" Screenshots:   tdas as we discussed offline Author: zsxwing <zsxwing@gmail.com> Closes #5952 from zsxwing/SPARK-7406 and squashes the following commits: 2b004ea [zsxwing] Merge branch 'master' into SPARK-7406 e9eb506 [zsxwing] Update tooltip contents 2215b2a [zsxwing] Add tooltips for "Scheduling Delay", "Processing Time" and "Total Delay"
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Xiangrui Meng authored
`scala.Math` is deprecated since 2.8. This PR only touchs `Math` usages in MLlib. dbtsai Author: Xiangrui Meng <meng@databricks.com> Closes #6092 from mengxr/SPARK-7571 and squashes the following commits: fe8f8d3 [Xiangrui Meng] Math -> math
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Venkata Ramana Gollamudi authored
Few jdbc drivers like SybaseIQ support passing username and password only through connection properties. So the same needs to be supported for SQLContext.jdbc, dataframe.createJDBCTable and dataframe.insertIntoJDBC. Added as default arguments or overrided function to support backward compatability. Author: Venkata Ramana Gollamudi <ramana.gollamudi@huawei.com> Closes #6009 from gvramana/add_jdbc_conn_properties and squashes the following commits: 396a0d0 [Venkata Ramana Gollamudi] fixed comments d66dd8c [Venkata Ramana Gollamudi] fixed comments 1b8cd8c [Venkata Ramana Gollamudi] Support jdbc connection properties
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Xiangrui Meng authored
We make special treatment for +inf in `Bucketizer`. This could be simplified by always including the largest split value in the last bucket. E.g., (x1, x2, x3) defines buckets [x1, x2) and [x2, x3]. This shouldn't affect user code much, and there are applications that need to include the right-most value. For example, we can bucketize ratings from 0 to 10 to bad, neutral, and good with splits 0, 4, 6, 10. It may reads weird if the users need to put 0, 4, 6, 10.1 (or 11). This also update the impl to use `Arrays.binarySearch` and `withClue` in test. yinxusen jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #6075 from mengxr/SPARK-7559 and squashes the following commits: e28f910 [Xiangrui Meng] update bucketizer impl
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Michael Armbrust authored
`scala> Seq((1,1)).toDF("a", "b").select(lit(1) + new java.sql.Date(1)) ` Before: ``` org.apache.spark.sql.AnalysisException: invalid expression (1 + 0) between Literal 1, IntegerType and Literal 0, DateType; ``` After: ``` org.apache.spark.sql.AnalysisException: invalid expression (1 + 0) between int and date; ``` Author: Michael Armbrust <michael@databricks.com> Closes #6089 from marmbrus/betterBinaryError and squashes the following commits: 23b68ad [Michael Armbrust] [SPARK-7569][SQL] Better error for invalid binary expressions -
Ram Sriharsha authored
initial cut of one against all. test code is a scaffolding , not fully implemented. This WIP is to gather early feedback. Author: Ram Sriharsha <rsriharsha@hw11853.local> Closes #5830 from harsha2010/reduction and squashes the following commits: 5f4b495 [Ram Sriharsha] Fix Test 386e98b [Ram Sriharsha] Style fix 49b4a17 [Ram Sriharsha] Simplify the test 02279cc [Ram Sriharsha] Output Label Metadata in Prediction Col bc78032 [Ram Sriharsha] Code Review Updates 8ce4845 [Ram Sriharsha] Merge with Master 2a807be [Ram Sriharsha] Merge branch 'master' into reduction e21bfcc [Ram Sriharsha] Style Fix 5614f23 [Ram Sriharsha] Style Fix c75583a [Ram Sriharsha] Cleanup 7a5f136 [Ram Sriharsha] Fix TODOs 804826b [Ram Sriharsha] Merge with Master 1448a5f [Ram Sriharsha] Style Fix 6e47807 [Ram Sriharsha] Style Fix d63e46b [Ram Sriharsha] Incorporate Code Review Feedback ced68b5 [Ram Sriharsha] Refactor OneVsAll to implement Predictor 78fa82a [Ram Sriharsha] extra line 0dfa1fb [Ram Sriharsha] Fix inexhaustive match cases that may arise from UnresolvedAttribute a59a4f4 [Ram Sriharsha] @Experimental 4167234 [Ram Sriharsha] Merge branch 'master' into reduction 868a4fd [Ram Sriharsha] @Experimental 041d905 [Ram Sriharsha] Code Review Fixes df188d8 [Ram Sriharsha] Style fix 612ec48 [Ram Sriharsha] Style Fix 6ef43d3 [Ram Sriharsha] Prefer Unresolved Attribute to Option: Java APIs are cleaner 6bf6bff [Ram Sriharsha] Update OneHotEncoder to new API e29cb89 [Ram Sriharsha] Merge branch 'master' into reduction 1c7fa44 [Ram Sriharsha] Fix Tests ca83672 [Ram Sriharsha] Incorporate Code Review Feedback + Rename to OneVsRestClassifier 221beeed [Ram Sriharsha] Upgrade to use Copy method for cloning Base Classifiers 26f1ddb [Ram Sriharsha] Merge with SPARK-5956 API changes 9738744 [Ram Sriharsha] Merge branch 'master' into reduction 1a3e375 [Ram Sriharsha] More efficient Implementation: Use withColumn to generate label column dynamically 32e0189 [Ram Sriharsha] Restrict reduction to Margin Based Classifiers ff272da [Ram Sriharsha] Style fix 28771f5 [Ram Sriharsha] Add Tests for Multiclass to Binary Reduction b60f874 [Ram Sriharsha] Fix Style issues in Test 3191cdf [Ram Sriharsha] Remove this test, accidental commit 23f056c [Ram Sriharsha] Fix Headers for test 1b5e929 [Ram Sriharsha] Fix Style issues and add Header 8752863 [Ram Sriharsha] [SPARK-7015][MLLib][WIP] Multiclass to Binary Reduction: One Against All
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Tim Ellison authored
…roblem Pick up newer version of dependency with fix for SPARK-2018. The update involved patching the ning/compress LZF library to handle big endian systems correctly. Credit goes to gireeshpunathil for diagnosing the problem, and cowtowncoder for fixing it. Spark tests run clean for me. Author: Tim Ellison <t.p.ellison@gmail.com> Closes #6077 from tellison/UpgradeLZF and squashes the following commits: ad8d4ef [Tim Ellison] [SPARK-2018] [CORE] Upgrade LZF library to fix endian serialization problem
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Burak Yavuz authored
Added LinearRegression Python API Author: Burak Yavuz <brkyvz@gmail.com> Closes #6016 from brkyvz/ml-reg and squashes the following commits: 11c9ef9 [Burak Yavuz] address comments 1027a40 [Burak Yavuz] fix typo 4c699ad [Burak Yavuz] added tree regressor api 8afead2 [Burak Yavuz] made mixin for DT fa51c74 [Burak Yavuz] save additions 0640d48 [Burak Yavuz] added ml.regression 82aac48 [Burak Yavuz] added linear regression
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Andrew Or authored
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Wenchen Fan authored
Author: Wenchen Fan <cloud0fan@outlook.com> Closes #5831 from cloud-fan/7276 and squashes the following commits: ee4a1e1 [Wenchen Fan] fix rebase mistake a3b565d [Wenchen Fan] refactor 99deb5d [Wenchen Fan] add test f1f67ad [Wenchen Fan] fix 7276
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Andrew Or authored
This fixes the label bleeding issue described in the JIRA and pictured in the screenshots below. I also took the opportunity to move some code to the places that they belong more to. In particular: (1) Drawing cluster labels is now implemented in my branch of dagre-d3 instead of in Spark (2) All graph styling is now moved from Scala to JS Note that these changes are related because our existing mechanism of "tacking on cluster labels" afterwards isn't flexible enough for us to fix issues like this one easily. For the other half of the changes, visit http://github.com/andrewor14/dagre-d3. ------------------- **Before.** <img src="https://cloud.githubusercontent.com/assets/2133137/7582769/b1423440-f845-11e4-8248-b3446a01bf79.png" width="300px"/> ------------------- **After.** <img src="https://cloud.githubusercontent.com/assets/2133137/7582742/74891ae6-f845-11e4-96c4-41c7b8aedbdf.png" width="400px"/> Author: Andrew Or <andrew@databricks.com> Closes #6076 from andrewor14/dag-viz-bleed and squashes the following commits: 5858d7a [Andrew Or] Merge branch 'master' of github.com:apache/spark into dag-viz-bleed c686dc4 [Andrew Or] Fix tooltip placement d908c36 [Andrew Or] Add link to dagre-d3 changes (minor) 4a4fb58 [Andrew Or] Fix bleeding + move all styling to JS
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Wenchen Fan authored
Minor improvement, now we can use `Column` as extraction expression. Author: Wenchen Fan <cloud0fan@outlook.com> Closes #6080 from cloud-fan/tmp and squashes the following commits: 0fdefb7 [Wenchen Fan] support column in field accessor
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Cheng Lian authored
This PR adds partitioning support for the external data sources API. It aims to simplify development of file system based data sources, and provide first class partitioning support for both read path and write path. Existing data sources like JSON and Parquet can be simplified with this work. ## New features provided 1. Hive compatible partition discovery This actually generalizes the partition discovery strategy used in Parquet data source in Spark 1.3.0. 1. Generalized partition pruning optimization Now partition pruning is handled during physical planning phase. Specific data sources don't need to worry about this harness anymore. (This also implies that we can remove `CatalystScan` after migrating the Parquet data source, since now we don't need to pass Catalyst expressions to data source implementations.) 1. Insertion with dynamic partitions When inserting data to a `FSBasedRelation`, data can be partitioned dynamically by specified partition columns. ## New structures provided ### Developer API 1. `FSBasedRelation` Base abstract class for file system based data sources. 1. `OutputWriter` Base abstract class for output row writers, responsible for writing a single row object. 1. `FSBasedRelationProvider` A new relation provider for `FSBasedRelation` subclasses. Note that data sources extending `FSBasedRelation` don't need to extend `RelationProvider` and `SchemaRelationProvider`. ### User API New overloaded versions of 1. `DataFrame.save()` 1. `DataFrame.saveAsTable()` 1. `SQLContext.load()` are provided to allow users to save/load DataFrames with user defined dynamic partition columns. ### Spark SQL query planning 1. `InsertIntoFSBasedRelation` Used to implement write path for `FSBasedRelation`s. 1. New rules for `FSBasedRelation` in `DataSourceStrategy` These are added to hook `FSBasedRelation` into physical query plan in read path, and perform partition pruning. ## TODO - [ ] Use scratch directories when overwriting a table with data selected from itself. Currently, this is not supported, because the table been overwritten is always deleted before writing any data to it. - [ ] When inserting with dynamic partition columns, use external sorter to group the data first. This ensures that we only need to open a single `OutputWriter` at a time. For data sources like Parquet, `OutputWriter`s can be quite memory consuming. One issue is that, this approach breaks the row distribution in the original DataFrame. However, we did't promise to preserve data distribution when writing a DataFrame. - [x] More tests. Specifically, test cases for - [x] Self-join - [x] Loading partitioned relations with a subset of partition columns stored in data files. - [x] `SQLContext.load()` with user defined dynamic partition columns. ## Parquet data source migration Parquet data source migration is covered in PR https://github.com/liancheng/spark/pull/6, which is against this PR branch and for preview only. A formal PR need to be made after this one is merged. Author: Cheng Lian <lian@databricks.com> Closes #5526 from liancheng/partitioning-support and squashes the following commits: 5351a1b [Cheng Lian] Fixes compilation error introduced while rebasing 1f9b1a5 [Cheng Lian] Tweaks data schema passed to FSBasedRelations 43ba50e [Cheng Lian] Avoids serializing generated projection code edf49e7 [Cheng Lian] Removed commented stale code block 348a922 [Cheng Lian] Adds projection in FSBasedRelation.buildScan(requiredColumns, inputPaths) ad4d4de [Cheng Lian] Enables HDFS style globbing 8d12e69 [Cheng Lian] Fixes compilation error c71ac6c [Cheng Lian] Addresses comments from @marmbrus 7552168 [Cheng Lian] Fixes typo in MimaExclude.scala 0349e09 [Cheng Lian] Fixes compilation error introduced while rebasing 52b0c9b [Cheng Lian] Adjusts project/MimaExclude.scala c466de6 [Cheng Lian] Addresses comments bc3f9b4 [Cheng Lian] Uses projection to separate partition columns and data columns while inserting rows 795920a [Cheng Lian] Fixes compilation error after rebasing 0b8cd70 [Cheng Lian] Adds Scala/Catalyst row conversion when writing non-partitioned tables fa543f3 [Cheng Lian] Addresses comments 5849dd0 [Cheng Lian] Fixes doc typos. Fixes partition discovery refresh. 51be443 [Cheng Lian] Replaces FSBasedRelation.outputCommitterClass with FSBasedRelation.prepareForWrite c4ed4fe [Cheng Lian] Bug fixes and a new test suite a29e663 [Cheng Lian] Bug fix: should only pass actuall data files to FSBaseRelation.buildScan 5f423d3 [Cheng Lian] Bug fixes. Lets data source to customize OutputCommitter rather than OutputFormat 54c3d7b [Cheng Lian] Enforces that FileOutputFormat must be used be0c268 [Cheng Lian] Uses TaskAttempContext rather than Configuration in OutputWriter.init 0bc6ad1 [Cheng Lian] Resorts to new Hadoop API, and now FSBasedRelation can customize output format class f320766 [Cheng Lian] Adds prepareForWrite() hook, refactored writer containers 422ff4a [Cheng Lian] Fixes style issue ce52353 [Cheng Lian] Adds new SQLContext.load() overload with user defined dynamic partition columns 8d2ff71 [Cheng Lian] Merges partition columns when reading partitioned relations ca1805b [Cheng Lian] Removes duplicated partition discovery code in new Parquet f18dec2 [Cheng Lian] More strict schema checking b746ab5 [Cheng Lian] More tests 9b487bf [Cheng Lian] Fixes compilation errors introduced while rebasing ea6c8dd [Cheng Lian] Removes remote debugging stuff 327bb1d [Cheng Lian] Implements partitioning support for data sources API 3c5073a [Cheng Lian] Fixes SaveModes used in test cases fb5a607 [Cheng Lian] Fixes compilation error 9d17607 [Cheng Lian] Adds the contract that OutputWriter should have zero-arg constructor 5de194a [Cheng Lian] Forgot Apache licence header 95d0b4d [Cheng Lian] Renames PartitionedSchemaRelationProvider to FSBasedRelationProvider 770b5ba [Cheng Lian] Adds tests for FSBasedRelation 3ba9bbf [Cheng Lian] Adds DataFrame.saveAsTable() overrides which support partitioning 1b8231f [Cheng Lian] Renames FSBasedPrunedFilteredScan to FSBasedRelation aa8ba9a [Cheng Lian] Javadoc fix 012ed2d [Cheng Lian] Adds PartitioningOptions 7dd8dd5 [Cheng Lian] Adds new interfaces and stub methods for data sources API partitioning support -
Wenchen Fan authored
Author: Wenchen Fan <cloud0fan@outlook.com> Closes #6079 from cloud-fan/unapply and squashes the following commits: 40da442 [Wenchen Fan] one more 7d90a05 [Wenchen Fan] cleanup unapply in DataTypes
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Daoyuan Wang authored
Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #6003 from adrian-wang/pynareplace and squashes the following commits: 672efba [Daoyuan Wang] remove py2.7 feature 4a148f7 [Daoyuan Wang] to_replace support dict, value support single value, and add full tests 9e232e7 [Daoyuan Wang] rename scala map af0268a [Daoyuan Wang] remove na 63ac579 [Daoyuan Wang] add na.replace in pyspark
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Tathagata Das authored
Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #6060 from tdas/SPARK-7532 and squashes the following commits: 6fe2e83 [Tathagata Das] Update docs 7dadfc3 [Tathagata Das] Fixed bug again 99c7678 [Tathagata Das] Added logInfo 65aec20 [Tathagata Das] Fix bug 5bf031b [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into SPARK-7532 1a9a818 [Tathagata Das] Fix scaladoc c584313 [Tathagata Das] StreamingContext.start() made to logWarning and not throw exception
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Andrew Or authored
Such that a checkpoint RDD does not go into random scopes on the UI, e.g. `take`. We've seen this in streaming. Author: Andrew Or <andrew@databricks.com> Closes #6004 from andrewor14/dag-viz-checkpoint and squashes the following commits: 9217439 [Andrew Or] Fix checkpoints 4ae8806 [Andrew Or] Merge branch 'master' of github.com:apache/spark into dag-viz-checkpoint 19bc07b [Andrew Or] Treat checkpoint as an RDD operation
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Marcelo Vanzin authored
The sbt part of the build is hacky; it basically tricks sbt into generating the zip by using a generator, but returns an empty list for the generated files so that nothing is actually added to the assembly. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #6022 from vanzin/SPARK-7485 and squashes the following commits: 22c1e04 [Marcelo Vanzin] Remove unneeded code. 4893622 [Marcelo Vanzin] [SPARK-7485] [build] Remove pyspark files from assembly.
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linweizhong authored
As PR #5580 we have created pyspark.zip on building and set PYTHONPATH to python/lib/pyspark.zip, so to keep consistence update this. Author: linweizhong <linweizhong@huawei.com> Closes #6047 from Sephiroth-Lin/pyspark_pythonpath and squashes the following commits: 8cc3d96 [linweizhong] Set PYTHONPATH to python/lib/pyspark.zip rather than python/pyspark as PR#5580 we have create pyspark.zip on build
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zsxwing authored
Just improved the Stage table when a stage is missing. Before:  After:  Author: zsxwing <zsxwing@gmail.com> Closes #6061 from zsxwing/SPARK-7534 and squashes the following commits: 09fe862 [zsxwing] Leave it blank rather than '-' 6299197 [zsxwing] Fix the Stage table when a stage is missing
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vidmantas zemleris authored
add docs for https://issues.apache.org/jira/browse/SPARK-6994 Author: vidmantas zemleris <vidmantas@vinted.com> Closes #6030 from vidma/docs/row-with-named-fields and squashes the following commits: 241b401 [vidmantas zemleris] [SPARK-6994][SQL] Update docs for fetching Row fields by name
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Reynold Xin authored
Author: Reynold Xin <rxin@databricks.com> Closes #6071 from rxin/parserdialect and squashes the following commits: ca2eb31 [Reynold Xin] Rename Dialect -> ParserDialect.
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- May 11, 2015
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Joshi authored
Author: Joshi <rekhajoshm@gmail.com> Author: Rekha Joshi <rekhajoshm@gmail.com> Closes #5989 from rekhajoshm/fix/SPARK-7435 and squashes the following commits: cfc9e02 [Joshi] Spark-7435[R]: updated patch for review comments 62becc1 [Joshi] SPARK-7435: Update to DataFrame e3677c9 [Rekha Joshi] Merge pull request #1 from apache/master
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Reynold Xin authored
Author: Reynold Xin <rxin@databricks.com> Closes #6068 from rxin/drop-column and squashes the following commits: 9d7d5ec [Reynold Xin] [SPARK-7509][SQL] DataFrame.drop in Python for dropping columns.
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Zhongshuai Pei authored
SQL ``` select key from src where 3 in (4, 5); ``` Before ``` == Optimized Logical Plan == Project [key#12] Filter 3 INSET (5,4) MetastoreRelation default, src, None ``` After ``` == Optimized Logical Plan == LocalRelation [key#228], [] ``` Author: Zhongshuai Pei <799203320@qq.com> Author: DoingDone9 <799203320@qq.com> Closes #5972 from DoingDone9/InToFalse and squashes the following commits: 4c722a2 [Zhongshuai Pei] Update predicates.scala abe2bbb [Zhongshuai Pei] Update Optimizer.scala fa461a5 [Zhongshuai Pei] Update Optimizer.scala e34c28a [Zhongshuai Pei] Update predicates.scala 24739bd [Zhongshuai Pei] Update ConstantFoldingSuite.scala f4dbf50 [Zhongshuai Pei] Update ConstantFoldingSuite.scala 35ceb7a [Zhongshuai Pei] Update Optimizer.scala 36c194e [Zhongshuai Pei] Update Optimizer.scala 2e8f6ca [Zhongshuai Pei] Update Optimizer.scala 14952e2 [Zhongshuai Pei] Merge pull request #13 from apache/master f03fe7f [Zhongshuai Pei] Merge pull request #12 from apache/master f12fa50 [Zhongshuai Pei] Merge pull request #10 from apache/master f61210c [Zhongshuai Pei] Merge pull request #9 from apache/master 34b1a9a [Zhongshuai Pei] Merge pull request #8 from apache/master 802261c [DoingDone9] Merge pull request #7 from apache/master d00303b [DoingDone9] Merge pull request #6 from apache/master 98b134f [DoingDone9] Merge pull request #5 from apache/master 161cae3 [DoingDone9] Merge pull request #4 from apache/master c87e8b6 [DoingDone9] Merge pull request #3 from apache/master cb1852d [DoingDone9] Merge pull request #2 from apache/master c3f046f [DoingDone9] Merge pull request #1 from apache/master
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Cheng Hao authored
This is a follow up of #5876 and should be merged after #5876. Let's wait for unit testing result from Jenkins. Author: Cheng Hao <hao.cheng@intel.com> Closes #5963 from chenghao-intel/useIsolatedClient and squashes the following commits: f87ace6 [Cheng Hao] remove the TODO and add `resolved condition` for HiveTable a8260e8 [Cheng Hao] Update code as feedback f4e243f [Cheng Hao] remove the serde setting for SequenceFile d166afa [Cheng Hao] style issue d25a4aa [Cheng Hao] Add SerDe support for CTAS
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Reynold Xin authored
This should also close https://github.com/apache/spark/pull/5870 Author: Reynold Xin <rxin@databricks.com> Closes #6066 from rxin/dropDups and squashes the following commits: 130692f [Reynold Xin] [SPARK-7324][SQL] DataFrame.dropDuplicates
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Tathagata Das authored
[SPARK-7530] [STREAMING] Added StreamingContext.getState() to expose the current state of the context Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #6058 from tdas/SPARK-7530 and squashes the following commits: 80ee0e6 [Tathagata Das] STARTED --> ACTIVE 3da6547 [Tathagata Das] Added synchronized dd88444 [Tathagata Das] Added more docs e1a8505 [Tathagata Das] Fixed comment length 89f9980 [Tathagata Das] Change to Java enum and added Java test 7c57351 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into SPARK-7530 dd4e702 [Tathagata Das] Addressed comments. 3d56106 [Tathagata Das] Added Mima excludes 2b86ba1 [Tathagata Das] Added scala docs. 1722433 [Tathagata Das] Fixed style 976b094 [Tathagata Das] Added license 0585130 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into SPARK-7530 e0f0a05 [Tathagata Das] Added getState and exposed StreamingContextState
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Xusen Yin authored
JIRA issue [here](https://issues.apache.org/jira/browse/SPARK-5893). One thing to make clear, the `buckets` parameter, which is an array of `Double`, performs as split points. Say, ```scala buckets = Array(-0.5, 0.0, 0.5) ``` splits the real number into 4 ranges, (-inf, -0.5], (-0.5, 0.0], (0.0, 0.5], (0.5, +inf), which is encoded as 0, 1, 2, 3. Author: Xusen Yin <yinxusen@gmail.com> Author: Joseph K. Bradley <joseph@databricks.com> Closes #5980 from yinxusen/SPARK-5893 and squashes the following commits: dc8c843 [Xusen Yin] Merge pull request #4 from jkbradley/yinxusen-SPARK-5893 1ca973a [Joseph K. Bradley] one more bucketizer test 34f124a [Joseph K. Bradley] Removed lowerInclusive, upperInclusive params from Bucketizer, and used splits instead. eacfcfa [Xusen Yin] change ML attribute from splits into buckets c3cc770 [Xusen Yin] add more unit test for binary search 3a16cc2 [Xusen Yin] refine comments and names ac77859 [Xusen Yin] fix style error fb30d79 [Xusen Yin] fix and test binary search 2466322 [Xusen Yin] refactor Bucketizer 11fb00a [Xusen Yin] change it into an Estimator 998bc87 [Xusen Yin] check buckets 4024cf1 [Xusen Yin] add test suite 5fe190e [Xusen Yin] add bucketizer
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Reynold Xin authored
So users that are interested in this can track it easily. Author: Reynold Xin <rxin@databricks.com> Closes #6067 from rxin/SPARK-7550 and squashes the following commits: ee0e34c [Reynold Xin] Updated DataFrame.saveAsTable Hive warning to include SPARK-7550 ticket.
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Reynold Xin authored
Author: Reynold Xin <rxin@databricks.com> Closes #6062 from rxin/agg-retain-doc and squashes the following commits: 43e511e [Reynold Xin] [SPARK-7462][SQL] Update documentation for retaining grouping columns in DataFrames.
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madhukar authored
Author: madhukar <phatak.dev@gmail.com> Closes #5654 from phatak-dev/master and squashes the following commits: 386f407 [madhukar] #5654 updated for all the methods 2c997c5 [madhukar] Merge branch 'master' of https://github.com/apache/spark 00bc819 [madhukar] Merge branch 'master' of https://github.com/apache/spark 2a802c6 [madhukar] #5654 updated the doc according to comments 866e8df [madhukar] [SPARK-7084] improve saveAsTable documentation
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