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Author: Madhu Siddalingaiah <madhu@madhu.com> Closes #3390 from msiddalingaiah/master and squashes the following commits: cbccbfe [Madhu Siddalingaiah] Documentation: replace <b> with <code> (again) 332f7a2 [Madhu Siddalingaiah] Documentation: replace <b> with <code> cd2b05a [Madhu Siddalingaiah] Merge remote-tracking branch 'upstream/master' 0fc12d7 [Madhu Siddalingaiah] Documentation: add description for repartitionAndSortWithinPartitions
Documents `spark.sql.parquet.filterPushdown`, explains why it's turned off by default and when it's safe to be turned on. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3440) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3440 from liancheng/parquet-filter-pushdown-doc and squashes the following commits: 2104311 [Cheng Lian] Documents spark.sql.parquet.filterPushdown
Remove hardcoding max and min values for types. Let BigDecimal do checking type compatibility. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #3208 from viirya/more_numericLit and squashes the following commits: e9834b4 [Liang-Chi Hsieh] Remove byte and short types for number literal. 1bd1825 [Liang-Chi Hsieh] Fix Indentation and make the modification clearer. cf1a997 [Liang-Chi Hsieh] Modified for comment to add a rule of analysis that adds a cast. 91fe489 [Liang-Chi Hsieh] add Byte and Short. 1bdc69d [Liang-Chi Hsieh] Let BigDecimal do checking type compatibility.
…nction like count(distinct c1,c2..) in Spark SQL Supporting multi column support in countDistinct function like count(distinct c1,c2..) in Spark SQL Author: ravipesala <ravindra.pesala@huawei.com> Author: Michael Armbrust <michael@databricks.com> Closes #3511 from ravipesala/countdistinct and squashes the following commits: cc4dbb1 [ravipesala] style 070e12a [ravipesala] Supporting multi column support in count(distinct c1,c2..) in Spark SQL
Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3535 from adrian-wang/datedoc and squashes the following commits: 18ff1ed [Daoyuan Wang] [DOC] Date type
Support view definition like
CREATE VIEW view3(valoo)
TBLPROPERTIES ("fear" = "factor")
AS SELECT upper(value) FROM src WHERE key=86;
[valoo as the alias of upper(value)]. This is missing part of SPARK-4239, for a fully view support.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes #3396 from adrian-wang/viewcolumn and squashes the following commits:
4d001d0 [Daoyuan Wang] support view with column alias
…llCaseVersions In addition, using `s.isEmpty` to eliminate the string comparison. Author: zsxwing <zsxwing@gmail.com> Closes #3132 from zsxwing/SPARK-4268 and squashes the following commits: 358e235 [zsxwing] Improvement of allCaseVersions
This commit exists to close the following pull requests on Github: Closes #1612 (close requested by 'marmbrus') Closes #2723 (close requested by 'marmbrus') Closes #1737 (close requested by 'marmbrus') Closes #2252 (close requested by 'marmbrus') Closes #2029 (close requested by 'marmbrus') Closes #2386 (close requested by 'marmbrus') Closes #2997 (close requested by 'marmbrus')
The vector norm in breeze is implemented by `activeIterator` which is known to be very slow. In this PR, an efficient vector norm is implemented, and with this API, `Normalizer` and `k-means` have big performance improvement. Here is the benchmark against mnist8m dataset. a) `Normalizer` Before DenseVector: 68.25secs SparseVector: 17.01secs With this PR DenseVector: 12.71secs SparseVector: 2.73secs b) `k-means` Before DenseVector: 83.46secs SparseVector: 61.60secs With this PR DenseVector: 70.04secs SparseVector: 59.05secs Author: DB Tsai <dbtsai@alpinenow.com> Closes #3462 from dbtsai/norm and squashes the following commits: 63c7165 [DB Tsai] typo 0c3637f [DB Tsai] add import org.apache.spark.SparkContext._ back 6fa616c [DB Tsai] address feedback 9b7cb56 [DB Tsai] move norm to static method 0b632e6 [DB Tsai] kmeans dbed124 [DB Tsai] style c1a877c [DB Tsai] first commit
This PR cleans up `import SparkContext._` in core for SPARK-4397(#3262) to prove it really works well. Author: zsxwing <zsxwing@gmail.com> Closes #3530 from zsxwing/SPARK-4397-cleanup and squashes the following commits: 04e2273 [zsxwing] Cleanup 'import SparkContext._' in core
The link points to the old scala programming guide; it should point to the submitting applications page. This should be backported to 1.1.2 (it's been broken as of 1.0). Author: Kay Ousterhout <kayousterhout@gmail.com> Closes #3542 from kayousterhout/SPARK-4686 and squashes the following commits: a8fc43b [Kay Ousterhout] [SPARK-4686] Link to allowed master URLs is broken
Spark SQL has embeded sqrt and abs but DSL doesn't support those functions. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3401 from sarutak/dsl-missing-operator and squashes the following commits: 07700cf [Kousuke Saruta] Modified Literal(null, NullType) to Literal(null) in DslQuerySuite 8f366f8 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into dsl-missing-operator 1b88e2e [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into dsl-missing-operator 0396f89 [Kousuke Saruta] Added sqrt and abs to Spark SQL DSL
…if sql has null
val jsc = new org.apache.spark.api.java.JavaSparkContext(sc)
val jhc = new org.apache.spark.sql.hive.api.java.JavaHiveContext(jsc)
val nrdd = jhc.hql("select null from spark_test.for_test")
println(nrdd.schema)
Then the error is thrown as follows:
scala.MatchError: NullType (of class org.apache.spark.sql.catalyst.types.NullType$)
at org.apache.spark.sql.types.util.DataTypeConversions$.asJavaDataType(DataTypeConversions.scala:43)
Author: YanTangZhai <hakeemzhai@tencent.com>
Author: yantangzhai <tyz0303@163.com>
Author: Michael Armbrust <michael@databricks.com>
Closes #3538 from YanTangZhai/MatchNullType and squashes the following commits:
e052dff [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
4b4bb34 [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
896c7b7 [yantangzhai] fix NullType MatchError in JavaSchemaRDD when sql has null
6e643f8 [YanTangZhai] Merge pull request #11 from apache/master
e249846 [YanTangZhai] Merge pull request #10 from apache/master
d26d982 [YanTangZhai] Merge pull request #9 from apache/master
76d4027 [YanTangZhai] Merge pull request #8 from apache/master
03b62b0 [YanTangZhai] Merge pull request #7 from apache/master
8a00106 [YanTangZhai] Merge pull request #6 from apache/master
cbcba66 [YanTangZhai] Merge pull request #3 from apache/master
cdef539 [YanTangZhai] Merge pull request #1 from apache/master
SELECT max(1/0) FROM src would return a very large number, which is obviously not right. For hive-0.12, hive would return `Infinity` for 1/0, while for hive-0.13.1, it is `NULL` for 1/0. I think it is better to keep our behavior with newer Hive version. This PR ensures that when the divider is 0, the result of expression should be NULL, same with hive-0.13.1 Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3443 from adrian-wang/div and squashes the following commits: 2e98677 [Daoyuan Wang] fix code gen for divide 0 85c28ba [Daoyuan Wang] temp 36236a5 [Daoyuan Wang] add test cases 6f5716f [Daoyuan Wang] fix comments cee92bd [Daoyuan Wang] avoid evaluation 2 times 22ecd9a [Daoyuan Wang] fix style cf28c58 [Daoyuan Wang] divide fix 2dfe50f [Daoyuan Wang] return null when divider is 0 of Double type
We should use `~` instead of `-` for bitwise NOT. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3528 from adrian-wang/symbol and squashes the following commits: affd4ad [Daoyuan Wang] fix code gen test case 56efb79 [Daoyuan Wang] ensure bitwise NOT over byte and short persist data type f55fbae [Daoyuan Wang] wrong symbol for bitwise not
Using ```executeCollect``` to collect the result, because executeCollect is a custom implementation of collect in spark sql which better than rdd's collect Author: wangfei <wangfei1@huawei.com> Closes #3547 from scwf/executeCollect and squashes the following commits: a5ab68e [wangfei] Revert "adding debug info" a60d680 [wangfei] fix test failure 0db7ce8 [wangfei] adding debug info 184c594 [wangfei] using executeCollect instead collect
…the lineage The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 Iterative GraphX applications always have long lineage, while checkpoint() on EdgeRDD and VertexRDD themselves cannot shorten the lineage. In contrast, if we perform checkpoint() on their ParitionsRDD, the long lineage can be cut off. Moreover, the existing operations such as cache() in this code is performed on the PartitionsRDD, so checkpoint() should do the same way. More details and explanation can be found in the JIRA. Author: JerryLead <JerryLead@163.com> Author: Lijie Xu <csxulijie@gmail.com> Closes #3549 from JerryLead/my_graphX_checkpoint and squashes the following commits: d1aa8d8 [JerryLead] Perform checkpoint() on PartitionsRDD not VertexRDD and EdgeRDD themselves ff08ed4 [JerryLead] Merge branch 'master' of https://github.com/apache/spark c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master
…erflow error The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 In a nutshell, if `val partitionsRDD` in EdgeRDDImpl and VertexRDDImpl are non-transient, the serialization chain can become very long in iterative algorithms and finally lead to the StackOverflow error. More details and explanation can be found in the JIRA. Author: JerryLead <JerryLead@163.com> Author: Lijie Xu <csxulijie@gmail.com> Closes #3544 from JerryLead/my_graphX and squashes the following commits: 628f33c [JerryLead] set PartitionsRDD to be transient in EdgeRDDImpl and VertexRDDImpl c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master
…ation chain The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 The f closure of `PartitionsRDD(ZippedPartitionsRDD2)` contains a `$outer` that references EdgeRDD/VertexRDD, which causes task's serialization chain become very long in iterative GraphX applications. As a result, StackOverflow error will occur. If we set "f = null" in `clearDependencies()`, checkpoint() can cut off the long serialization chain. More details and explanation can be found in the JIRA. Author: JerryLead <JerryLead@163.com> Author: Lijie Xu <csxulijie@gmail.com> Closes #3545 from JerryLead/my_core and squashes the following commits: f7faea5 [JerryLead] checkpoint() should clear the f to avoid StackOverflow error c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master
As #3262 wasn't merged to branch 1.2, the `since` value of `deprecated` should be '1.3.0'. Author: zsxwing <zsxwing@gmail.com> Closes #3573 from zsxwing/SPARK-4397-version and squashes the following commits: 1daa03c [zsxwing] Change the 'since' value to '1.3.0'
Renamed StreamingKMeans to StreamingKMeansExample to avoid warning about name conflict with StreamingKMeans class. Added import to DecisionTreeRunner to eliminate warning. CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #3568 from jkbradley/ml-compilation-warnings and squashes the following commits: 64d6bc4 [Joseph K. Bradley] Updated DecisionTreeRunner.scala and StreamingKMeans.scala to eliminate compilation warnings, including renaming StreamingKMeans to StreamingKMeansExample.
…e/sparse sample Note that the usage of `breezeSquaredDistance` in `org.apache.spark.mllib.util.MLUtils.fastSquaredDistance` is in the critical path, and `breezeSquaredDistance` is slow. We should replace it with our own implementation. Here is the benchmark against mnist8m dataset. Before DenseVector: 70.04secs SparseVector: 59.05secs With this PR DenseVector: 30.58secs SparseVector: 21.14secs Author: DB Tsai <dbtsai@alpinenow.com> Closes #3565 from dbtsai/kmean and squashes the following commits: 08bc068 [DB Tsai] restyle de24662 [DB Tsai] address feedback b185a77 [DB Tsai] cleanup 4554ddd [DB Tsai] first commit
…ple times in loop Have a local reference to `values` and `indices` array in the `Vector` object so JVM can locate the value with one operation call. See `SPARK-4581` for similar optimization, and the bytecode analysis. Author: DB Tsai <dbtsai@alpinenow.com> Closes #3577 from dbtsai/blasopt and squashes the following commits: 62d38c4 [DB Tsai] formating 0316cef [DB Tsai] first commit
…ver adds Executor The ExecutorInfo only reaches the RUNNING state if the Driver is alive to send the ExecutorStateChanged message to master. Else, appInfo.resetRetryCount() is never called and failing Executors will eventually exceed ApplicationState.MAX_NUM_RETRY, resulting in the application being removed from the master's accounting. JoshRosen Author: Mark Hamstra <markhamstra@gmail.com> Closes #3550 from markhamstra/SPARK-4498 and squashes the following commits: 8f543b1 [Mark Hamstra] Don't transition ExecutorInfo to RUNNING until Executor is added by Driver
…local shuffle file. cc aarondav kayousterhout pwendell This should go into 1.2? Author: Reynold Xin <rxin@databricks.com> Closes #3579 from rxin/SPARK-4085 and squashes the following commits: 255b4fd [Reynold Xin] Updated test. f9814d9 [Reynold Xin] Code review feedback. 2afaf35 [Reynold Xin] [SPARK-4085] Propagate FetchFailedException when Spark fails to read local shuffle file.
…mizer I have heard requests for the docs to include advice about choosing an optimization method. The programming guide could include a brief statement about this (so the user does not have to read the whole optimization section). CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #3569 from jkbradley/lr-doc and squashes the following commits: 654aeb5 [Joseph K. Bradley] updated section header for mllib-optimization 5035ad0 [Joseph K. Bradley] updated based on review 94f6dec [Joseph K. Bradley] Updated linear methods and optimization docs with quick advice on choosing an optimization method
…bles + DecisionTree API fix Major changes: * Added programming guide sections for tree ensembles * Added examples for tree ensembles * Updated DecisionTree programming guide with more info on parameters * **API change**: Standardized the tree parameter for the number of classes (for classification) Minor changes: * Updated decision tree documentation * Updated existing tree and tree ensemble examples * Use train/test split, and compute test error instead of training error. * Fixed decision_tree_runner.py to actually use the number of classes it computes from data. (small bug fix) Note: I know this is a lot of lines, but most is covered by: * Programming guide sections for gradient boosting and random forests. (The changes are probably best viewed by generating the docs locally.) * New examples (which were copied from the programming guide) * The "numClasses" renaming I have run all examples and relevant unit tests. CC: mengxr manishamde codedeft Author: Joseph K. Bradley <joseph@databricks.com> Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #3461 from jkbradley/ensemble-docs and squashes the following commits: 70a75f3 [Joseph K. Bradley] updated forest vs boosting comparison d1de753 [Joseph K. Bradley] Added note about toString and toDebugString for DecisionTree to migration guide 8e87f8f [Joseph K. Bradley] Combined GBT and RandomForest guides into one ensembles guide 6fab846 [Joseph K. Bradley] small fixes based on review b9f8576 [Joseph K. Bradley] updated decision tree doc 375204c [Joseph K. Bradley] fixed python style 2b60b6e [Joseph K. Bradley] merged Java RandomForest examples into 1 file. added header. Fixed small bug in same example in the programming guide. 706d332 [Joseph K. Bradley] updated python DT runner to print full model if it is small c76c823 [Joseph K. Bradley] added migration guide for mllib abe5ed7 [Joseph K. Bradley] added examples for random forest in Java and Python to examples folder 07fc11d [Joseph K. Bradley] Renamed numClassesForClassification to numClasses everywhere in trees and ensembles. This is a breaking API change, but it was necessary to correct an API inconsistency in Spark 1.1 (where Python DecisionTree used numClasses but Scala used numClassesForClassification). cdfdfbc [Joseph K. Bradley] added examples for GBT 6372a2b [Joseph K. Bradley] updated decision tree examples to use random split. tested all of them. ad3e695 [Joseph K. Bradley] added gbt and random forest to programming guide. still need to update their examples
This commit involves three main changes: (1) It separates the translation of contributor names from the generation of the contributors list. This is largely motivated by the Github API limit; even if we exceed this limit, we should at least be able to proceed manually as before. This is why the translation logic is abstracted into its own script translate-contributors.py. (2) When we look for candidate replacements for invalid author names, we should look for the assignees of the associated JIRAs too. As a result, the intermediate file must keep track of these. (3) This provides an interactive mode with which the user can sit at the terminal and manually pick the candidate replacement that he/she thinks makes the most sense. As before, there is a non-interactive mode that picks the first candidate that the script considers "valid." TODO: We should have a known_contributors file that stores known mappings so we don't have to go through all of this translation every time. This is also valuable because some contributors simply cannot be automatically translated.
…PartitionsRDD MappedRDD, MappedValuesRDD, FlatMappedValuesRDD, FilteredRDD, GlommedRDD, FlatMappedRDD are not necessary. They can be implemented trivially using MapPartitionsRDD. Author: Reynold Xin <rxin@databricks.com> Closes #3578 from rxin/SPARK-4719 and squashes the following commits: eed9853 [Reynold Xin] Preserve partitioning for filter. eb1a89b [Reynold Xin] [SPARK-4719][API] Consolidate various narrow dep RDD classes with MapPartitionsRDD.
…'s MLlib group This is #3554 from Lewuathe except that I put both `spark.ml` and `spark.mllib` in the group 'MLlib`. Closes #3554 jkbradley Author: lewuathe <lewuathe@me.com> Author: Xiangrui Meng <meng@databricks.com> Closes #3598 from mengxr/Lewuathe-modify-javadoc-setting and squashes the following commits: 184609a [Xiangrui Meng] merge spark.ml and spark.mllib into the same group in javadoc f7535e6 [lewuathe] [SPARK-4685] Update JavaDoc settings to include spark.ml and all spark.mllib subpackages in the right sections
Just found this instance while doing some jstack-based profiling of a Spark SQL job. It is very unlikely that this is causing much of a perf issue anywhere, but it is unnecessarily suboptimal. Author: Aaron Davidson <aaron@databricks.com> Closes #3593 from aarondav/seq-opt and squashes the following commits: 962cdfc [Aaron Davidson] [SQL] Minor: Avoid calling Seq#size in a loop
When you use the SPARK_JAVA_OPTS env variable, Spark complains: ``` SPARK_JAVA_OPTS was detected (set to ' -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps '). This is deprecated in Spark 1.0+. Please instead use: - ./spark-submit with conf/spark-defaults.conf to set defaults for an application - ./spark-submit with --driver-java-options to set -X options for a driver - spark.executor.extraJavaOptions to set -X options for executors - SPARK_DAEMON_JAVA_OPTS to set java options for standalone daemons (master or worker) ``` This updates the docs to redirect the user to the relevant part of the configuration docs. CC: mengxr but please CC someone else as needed Author: Joseph K. Bradley <joseph@databricks.com> Closes #3592 from jkbradley/tuning-doc and squashes the following commits: 0760ce1 [Joseph K. Bradley] fixed outdated comment in tuning guide
Documentation: * Added ml-guide.md, linked from mllib-guide.md * Updated mllib-guide.md with small section pointing to ml-guide.md Examples: * CrossValidatorExample * SimpleParamsExample * (I copied these + the SimpleTextClassificationPipeline example into the ml-guide.md) Bug fixes: * PipelineModel: did not use ParamMaps correctly * UnaryTransformer: issues with TypeTag serialization (Thanks to mengxr for that fix!) CC: mengxr shivaram etrain Documentation for Pipelines: I know the docs are not complete, but the goal is to have enough to let interested people get started using spark.ml and to add more docs once the package is more established/complete. Author: Joseph K. Bradley <joseph@databricks.com> Author: jkbradley <joseph.kurata.bradley@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #3588 from jkbradley/ml-package-docs and squashes the following commits: d393b5c [Joseph K. Bradley] fixed bug in Pipeline (typo from last commit). updated examples for CV and Params for spark.ml c38469c [Joseph K. Bradley] Updated ml-guide with CV examples 99f88c2 [Joseph K. Bradley] Fixed bug in PipelineModel.transform* with usage of params. Updated CrossValidatorExample to use more training examples so it is less likely to get a 0-size fold. ea34dc6 [jkbradley] Merge pull request #4 from mengxr/ml-package-docs 3b83ec0 [Xiangrui Meng] replace TypeTag with explicit datatype 41ad9b1 [Joseph K. Bradley] Added examples for spark.ml: SimpleParamsExample + Java version, CrossValidatorExample + Java version. CrossValidatorExample not working yet. Added programming guide for spark.ml, but need to add CrossValidatorExample to it once CrossValidatorExample works.
and some minor changes in ScalaDoc. Author: Xiangrui Meng <meng@databricks.com> Closes #3601 from mengxr/SPARK-4575-fix and squashes the following commits: c559768 [Xiangrui Meng] minor code update ce94da8 [Xiangrui Meng] Java Bean -> JavaBean 0b5c182 [Xiangrui Meng] fix links in ml-guide
Tested locally with a Win7 VM. Connected to a Spark SQL Thrift server instance running on Mac OS X with the following command line: ``` bin\beeline.cmd -u jdbc:hive2://10.0.2.2:10000 -n lian ``` <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3599) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3599 from liancheng/beeline.cmd and squashes the following commits: 79092e7 [Cheng Lian] Windows script for BeeLine
…cluster modes In yarn-cluster and standalone-cluster modes, we don't know where driver will run until it is launched. If the `spark.driver.host` property is set on the submitting machine and propagated to the driver through SparkConf then this will lead to errors when the driver launches. This patch fixes this issue by dropping the `spark.driver.host` property in SparkSubmit when running in a cluster deploy mode. Author: WangTaoTheTonic <barneystinson@aliyun.com> Author: WangTao <barneystinson@aliyun.com> Closes #3112 from WangTaoTheTonic/SPARK4253 and squashes the following commits: ed1a25c [WangTaoTheTonic] revert unrelated formatting issue 02c4e49 [WangTao] add comment 32a3f3f [WangTaoTheTonic] ingore it in SparkSubmit instead of SparkContext 667cf24 [WangTaoTheTonic] document fix ff8d5f7 [WangTaoTheTonic] also ignore it in standalone cluster mode 2286e6b [WangTao] ignore spark.driver.host in yarn-cluster mode
1. The version replacement was still producing some false changes. 2. Uploads to the staging repo specifically. Author: Patrick Wendell <pwendell@gmail.com> Closes #3608 from pwendell/release-script and squashes the following commits: 3c63294 [Patrick Wendell] Fixing two issues with the release script:
…ty groups The current get_existing_cluster() function would only find an instance belonged to a cluster if the instance's security groups == cluster_name + "-master" (or "-slaves"). This fix allows for multiple security groups by checking if the cluster_name + "-master" security group is in the list of groups for a particular instance. Author: alexdebrie <alexdebrie1@gmail.com> Closes #3596 from alexdebrie/master and squashes the following commits: 9d51232 [alexdebrie] Fix get_existing_cluster() function with multiple security groups
Please see https://issues.apache.org/jira/browse/SPARK-4459 Author: Saldanha <saldaal1@phusca-l24858.wlan.na.novartis.net> Closes #3327 from alokito/master and squashes the following commits: 54b1095 [Saldanha] [SPARK-4459] changed type parameter for keyBy from K to U d5f73c3 [Saldanha] [SPARK-4459] added keyBy test 316ad77 [Saldanha] SPARK-4459 changed type parameter for groupBy from K to U. 62ddd4b [Saldanha] SPARK-4459 added failing unit test
There might be some cases when WIPS spark version need to be run on EC2 cluster. In order to setup this type of cluster more easily, add --spark-git-repo option description to ec2 documentation. Author: lewuathe <lewuathe@me.com> Author: Josh Rosen <joshrosen@databricks.com> Closes #3513 from Lewuathe/doc-for-development-spark-cluster and squashes the following commits: 6dae8ee [lewuathe] Wrap consistent with other descriptions cfaf9be [lewuathe] Add docs about spark-git-repo option (Editing / cleanup by Josh Rosen)
I ran into multiple cases that SBT/Scala compiler was confused by the implicits in continuous compilation mode. Adding explicit return types fixes the problem. Author: Reynold Xin <rxin@databricks.com> Closes #3580 from rxin/rdd-implicit and squashes the following commits: ee32fcd [Reynold Xin] Move object RDD to the end of the file. b8562c9 [Reynold Xin] Merge branch 'master' of github.com:apache/spark into rdd-implicit d4e9f85 [Reynold Xin] Code review. a836a37 [Reynold Xin] Move object RDD to the front of RDD.scala.
Modified the link of building Spark. Author: Masayoshi TSUZUKI <tsudukim@oss.nttdata.co.jp> Closes #3279 from tsudukim/feature/SPARK-4421 and squashes the following commits: 56e31c1 [Masayoshi TSUZUKI] Modified the link of building Spark.
…ied in docs. Added description about -h and -host. Modified description about -i and -ip which are now deprecated. Added description about --properties-file. Author: Masayoshi TSUZUKI <tsudukim@oss.nttdata.co.jp> Closes #3329 from tsudukim/feature/SPARK-4464 and squashes the following commits: 6c07caf [Masayoshi TSUZUKI] [SPARK-4464] Description about configuration options need to be modified in docs.
…ts files" This reverts commit 90ec643.
…ter" This reverts commit a975dc3.
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Dec 31, 2014
…askTracker to reduce the chance of the communicating problem Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem Author: YanTangZhai <hakeemzhai@tencent.com> Author: yantangzhai <tyz0303@163.com> Closes apache#3785 from YanTangZhai/SPARK-4946 and squashes the following commits: 9ca6541 [yantangzhai] [SPARK-4946] [CORE] Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 718afeb [YanTangZhai] Merge pull request #12 from apache/master 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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Jan 12, 2015
Support ! boolean logic operator like NOT in sql as follows select * from for_test where !(col1 > col2) Author: YanTangZhai <hakeemzhai@tencent.com> Author: Michael Armbrust <michael@databricks.com> Closes apache#3555 from YanTangZhai/SPARK-4692 and squashes the following commits: 1a9f605 [YanTangZhai] Update HiveQuerySuite.scala 7c03c68 [YanTangZhai] Merge pull request #23 from apache/master 992046e [YanTangZhai] Update HiveQuerySuite.scala ea618f4 [YanTangZhai] Update HiveQuerySuite.scala 192411d [YanTangZhai] Merge pull request #17 from YanTangZhai/master e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala efc4210 [YanTangZhai] Update HiveQuerySuite.scala bd2c444 [YanTangZhai] Update HiveQuerySuite.scala 1893956 [YanTangZhai] Merge pull request #14 from marmbrus/pr/3555 59e4de9 [Michael Armbrust] make hive test 718afeb [YanTangZhai] Merge pull request #12 from apache/master 950b21e [YanTangZhai] Update HiveQuerySuite.scala 74175b4 [YanTangZhai] Update HiveQuerySuite.scala 92242c7 [YanTangZhai] Update HiveQl.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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