- May 15, 2015
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Kousuke Saruta authored
When we run applications on YARN with cluster mode, uploaded resources on .sparkStaging directory can't be cleaned up in case of failure of uploading local resources. You can see this issue by running following command. ``` bin/spark-submit --master yarn --deploy-mode cluster --class <someClassName> <non-existing-jar> ``` Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #6026 from sarutak/delete-uploaded-resources-on-error and squashes the following commits: caef9f4 [Kousuke Saruta] Fixed style 882f921 [Kousuke Saruta] Wrapped Client#submitApplication with try/catch blocks in order to delete resources on error 1786ca4 [Kousuke Saruta] Merge branch 'master' of https://github.com/apache/spark into delete-uploaded-resources-on-error f61071b [Kousuke Saruta] Fixed cleanup problem
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Cheng Lian authored
Please see [SPARK-7591] [1] for the details. /cc rxin marmbrus yhuai [1]: https://issues.apache.org/jira/browse/SPARK-7591 Author: Cheng Lian <lian@databricks.com> Closes #6150 from liancheng/spark-7591 and squashes the following commits: af422e7 [Cheng Lian] Addresses @rxin's comments 37d1738 [Cheng Lian] Fixes HadoopFsRelation partition columns initialization 2fc680a [Cheng Lian] Fixes Scala style issue 189ad23 [Cheng Lian] Removes HadoopFsRelation constructor arguments 522c24e [Cheng Lian] Adds OutputWriterFactory 047d40d [Cheng Lian] Renames FSBased* to HadoopFs*, also renamed FSBasedParquetRelation back to ParquetRelation2
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Yanbo Liang authored
Implement Python API for major disparities of GaussianMixture cluster algorithm between Scala & Python ```scala GaussianMixture setInitialModel GaussianMixtureModel k ``` Author: Yanbo Liang <ybliang8@gmail.com> Closes #6087 from yanboliang/spark-6258 and squashes the following commits: b3af21c [Yanbo Liang] fix typo 2b645c1 [Yanbo Liang] fix doc 638b4b7 [Yanbo Liang] address comments b5bcade [Yanbo Liang] GaussianMixture Python API parity check -
zsxwing authored
cc tdas Author: zsxwing <zsxwing@gmail.com> Closes #6160 from zsxwing/SPARK-7650 and squashes the following commits: fe6ae15 [zsxwing] Fix the import order a4ffd99 [zsxwing] Merge branch 'master' into SPARK-7650 dc402b6 [zsxwing] Move streaming css and js files to the streaming project
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Kan Zhang authored
It doesn't look to me Heartbeat is sent to Worker from anyone. Author: Kan Zhang <kzhang@apache.org> Closes #6163 from kanzhang/deadwood and squashes the following commits: 56be118 [Kan Zhang] [core] Remove unreachable Heartbeat message from Worker
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Josh Rosen authored
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- May 14, 2015
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Yin Huai authored
Otherwise, it will cause stack overflow when there are many partitions. Author: Yin Huai <yhuai@databricks.com> Closes #6162 from yhuai/partitionUnionedRDD and squashes the following commits: fa016d8 [Yin Huai] Explicitly create UnionRDD.
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Liang-Chi Hsieh authored
JIRA: https://issues.apache.org/jira/browse/SPARK-7098 The WHERE clause with timstamp shows inconsistent results. This pr fixes it. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #5682 from viirya/consistent_timestamp and squashes the following commits: 171445a [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into consistent_timestamp 4e98520 [Liang-Chi Hsieh] Make the WHERE clause with timestamp show consistent result.
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Michael Armbrust authored
Add an `explode` function for dataframes and modify the analyzer so that single table generating functions can be present in a select clause along with other expressions. There are currently the following restrictions: - only top level TGFs are allowed (i.e. no `select(explode('list) + 1)`) - only one may be present in a single select to avoid potentially confusing implicit Cartesian products. TODO: - [ ] Python Author: Michael Armbrust <michael@databricks.com> Closes #6107 from marmbrus/explodeFunction and squashes the following commits: 7ee2c87 [Michael Armbrust] whitespace 6f80ba3 [Michael Armbrust] Update dataframe.py c176c89 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into explodeFunction 81b5da3 [Michael Armbrust] style d3faa05 [Michael Armbrust] fix self join case f9e1e3e [Michael Armbrust] fix python, add since 4f0d0a9 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into explodeFunction e710fe4 [Michael Armbrust] add java and python 52ca0dc [Michael Armbrust] [SPARK-7548][SQL] Add explode function for dataframes. -
Xiangrui Meng authored
Just realized that we need `\` at the end of the docstring. brkyvz Author: Xiangrui Meng <meng@databricks.com> Closes #6161 from mengxr/SPARK-7619 and squashes the following commits: e44495f [Xiangrui Meng] fix docstring signature
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Xiangrui Meng authored
Otherwise, users can only use `transform` on the models. brkyvz Author: Xiangrui Meng <meng@databricks.com> Closes #6156 from mengxr/SPARK-7647 and squashes the following commits: 1ae3d2d [Xiangrui Meng] add weights and intercept to LogisticRegression in Python f49eb46 [Xiangrui Meng] add weights and intercept to LinearRegressionModel
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zsxwing authored
I also updated the summary of the Streaming page.   Author: zsxwing <zsxwing@gmail.com> Closes #6154 from zsxwing/SPARK-7645 and squashes the following commits: 5db6ca1 [zsxwing] Add UIUtils.formatBatchTime e4802df [zsxwing] Show milliseconds in the UI if the batch interval < 1 second
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zsxwing authored
Use window.localStorage to store the status rather than the url so that the url won't be changed. cc tdas Author: zsxwing <zsxwing@gmail.com> Closes #6158 from zsxwing/SPARK-7649 and squashes the following commits: 3c56fef [zsxwing] Use window.localStorage to store the status rather than the url
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Xiangrui Meng authored
`dataDistribution` and `partitions` are `Option[Seq[_]]`. andrewor14 squito Author: Xiangrui Meng <meng@databricks.com> Closes #6157 from mengxr/SPARK-7643 and squashes the following commits: 99fe8a4 [Xiangrui Meng] use the correct size in RDDPage for storage info and partitions
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Rex Xiong authored
In Spark Standalone setup, when some workers are DEAD, they will stay in master worker list for a while. master.workers metrics for master is only showing the total number of workers, we need to monitor how many real ALIVE workers are there to ensure the cluster is healthy. Author: Rex Xiong <pengx@microsoft.com> Closes #6117 from twilightgod/add-aliveWorker-metrics and squashes the following commits: 6be69a5 [Rex Xiong] Fix comment for aliveWorkers metrics a882f39 [Rex Xiong] Fix style for aliveWorkers metrics 38ce955 [Rex Xiong] Add aliveWorkers metrics in Master
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tedyu authored
Author: tedyu <yuzhihong@gmail.com> Closes #6153 from ted-yu/master and squashes the following commits: 4e0bac5 [tedyu] Use JIRA_PROJECT_NAME as variable name ab982aa [tedyu] Make SPARK prefix a variable
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ksonj authored
DateType should not be restricted to `datetime.date` but accept `datetime.datetime` objects as well. Could someone with a little more insight verify this? Author: ksonj <kson@siberie.de> Closes #6057 from ksonj/dates and squashes the following commits: 68a158e [ksonj] DateType should find datetime.datetime acceptable too
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Wenchen Fan authored
A follow-up of https://github.com/apache/spark/pull/5624 Author: Wenchen Fan <cloud0fan@outlook.com> Closes #6142 from cloud-fan/tmp and squashes the following commits: 971a92b [Wenchen Fan] use plan instead of execute 24c5ffe [Wenchen Fan] rename apply
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FavioVazquez authored
Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons. Changes proposed by vanzin resulting from previous pull-request https://github.com/apache/spark/pull/5783 that did not fixed the problem correctly. Please let me know if this is the correct way of doing this, the comments of vanzin are in the pull-request mentioned. Author: FavioVazquez <favio.vazquezp@gmail.com> Closes #5786 from FavioVazquez/update-hadoop-dependencies and squashes the following commits: 11670e5 [FavioVazquez] - Added missing instance of -Phadoop-2.2 in create-release.sh 379f50d [FavioVazquez] - Added instances of -Phadoop-2.2 in create-release.sh, run-tests, scalastyle and building-spark.md - Reconstructed docs to not ask users to rely on default behavior 3f9249d [FavioVazquez] Merge branch 'master' of https://github.com/apache/spark into update-hadoop-dependencies 31bdafa [FavioVazquez] - Added missing instances in -Phadoop-1 in create-release.sh, run-tests and in the building-spark documentation cbb93e8 [FavioVazquez] - Added comment related to SPARK-3710 about hadoop-yarn-server-tests in Hadoop 2.2 that fails to pull some needed dependencies 83dc332 [FavioVazquez] - Cleaned up the main POM concerning the yarn profile - Erased hadoop-2.2 profile from yarn/pom.xml and its content was integrated into yarn/pom.xml 93f7624 [FavioVazquez] - Deleted unnecessary comments and <activation> tag on the YARN profile in the main POM 668d126 [FavioVazquez] - Moved <dependencies> <activation> and <properties> sections of the hadoop-2.2 profile in the YARN POM to the YARN profile in the root POM - Erased unnecessary hadoop-2.2 profile from the YARN POM fda6a51 [FavioVazquez] - Updated hadoop1 releases in create-release.sh due to changes in the default hadoop version set - Erased unnecessary instance of -Dyarn.version=2.2.0 in create-release.sh - Prettify comment in yarn/pom.xml 0470587 [FavioVazquez] - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in create-release.sh - Updated how the releases are made in the create-release.sh no that the default hadoop version is the 2.2.0 - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in scalastyle - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in run-tests - Better example given in the hadoop-third-party-distributions.md now that the default hadoop version is 2.2.0 a650779 [FavioVazquez] - Default value of avro.mapred.classifier has been set to hadoop2 in pom.xml - Cleaned up hadoop-2.3 and 2.4 profiles due to change in the default set in avro.mapred.classifier in pom.xml 199f40b [FavioVazquez] - Erased unnecessary CDH5-specific note in docs/building-spark.md - Remove example of instance -Phadoop-2.2 -Dhadoop.version=2.2.0 in docs/building-spark.md - Enabled hadoop-2.2 profile when the Hadoop version is 2.2.0, which is now the default .Added comment in the yarn/pom.xml to specify that. 88a8b88 [FavioVazquez] - Simplified Hadoop profiles due to new setting of global properties in the pom.xml file - Added comment to specify that the hadoop-2.2 profile is now the default hadoop profile in the pom.xml file - Erased hadoop-2.2 from related hadoop profiles now that is a no-op in the make-distribution.sh file 70b8344 [FavioVazquez] - Fixed typo in the make-distribution.sh file and added hadoop-1 in the Related profiles 287fa2f [FavioVazquez] - Updated documentation about specifying the hadoop version in building-spark. Now is clear that Spark will build against Hadoop 2.2.0 by default. - Added Cloudera CDH 5.3.3 without MapReduce example in the building-spark doc. 1354292 [FavioVazquez] - Fixed hadoop-1 version to match jenkins build profile in hadoop1.0 tests and documentation 6b4bfaf [FavioVazquez] - Cleanup in hadoop-2.x profiles since they contained mostly redundant stuff. 7e9955d [FavioVazquez] - Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons 660decc [FavioVazquez] - Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons ec91ce3 [FavioVazquez] - Updated protobuf-java version of com.google.protobuf dependancy to fix blocking error when connecting to HDFS via the Hadoop Cloudera HDFS CDH5 (fix for 2.5.0-cdh5.3.3 version)
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DB Tsai authored
The difference is because we previously don't fit the intercept in Spark 1.3. Here, we change the input `String` so that the probability of instance 6 can be classified as `1.0` without any ambiguity. with lambda = 0.001 in current LOR implementation, the prediction is ``` (4, spark i j k) --> prob=[0.1596407738787411,0.8403592261212589], prediction=1.0 (5, l m n) --> prob=[0.8378325685476612,0.16216743145233883], prediction=0.0 (6, spark hadoop spark) --> prob=[0.0692663313297627,0.9307336686702373], prediction=1.0 (7, apache hadoop) --> prob=[0.9821575333444208,0.01784246665557917], prediction=0.0 ``` and the training accuracy is ``` (0, a b c d e spark) --> prob=[0.0021342419881406746,0.9978657580118594], prediction=1.0 (1, b d) --> prob=[0.9959176174854043,0.004082382514595685], prediction=0.0 (2, spark f g h) --> prob=[0.0014541569986711233,0.9985458430013289], prediction=1.0 (3, hadoop mapreduce) --> prob=[0.9982978367343561,0.0017021632656438518], prediction=0.0 ``` Author: DB Tsai <dbt@netflix.com> Closes #6109 from dbtsai/lor-example and squashes the following commits: ac63ce4 [DB Tsai] first commit
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Xiangrui Meng authored
A param instance is strongly attached to an parent in the current implementation. So if we make a copy of an estimator or a transformer in pipelines and other meta-algorithms, it becomes error-prone to copy the params to the copied instances. In this PR, a param is identified by its parent's UID and the param name. So it becomes loosely attached to its parent and all its derivatives. The UID is preserved during copying or fitting. All components now have a default constructor and a constructor that takes a UID as input. I keep the constructors for Param in this PR to reduce the amount of diff and moved `parent` as a mutable field. This PR still needs some clean-ups, and there are several spark.ml PRs pending. I'll try to get them merged first and then update this PR. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #6019 from mengxr/SPARK-7407 and squashes the following commits: c4c8120 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7407 520f0a2 [Xiangrui Meng] address comments 2569168 [Xiangrui Meng] fix tests 873caca [Xiangrui Meng] fix tests in OneVsRest; fix a racing condition in shouldOwn 409ea08 [Xiangrui Meng] minor updates 83a163c [Xiangrui Meng] update JavaDeveloperApiExample 5db5325 [Xiangrui Meng] update OneVsRest 7bde7ae [Xiangrui Meng] merge master 697fdf9 [Xiangrui Meng] update Bucketizer 7b4f6c2 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7407 629d402 [Xiangrui Meng] fix LRSuite 154516f [Xiangrui Meng] merge master aa4a611 [Xiangrui Meng] fix examples/compile a4794dd [Xiangrui Meng] change Param to use to reduce the size of diff fdbc415 [Xiangrui Meng] all tests passed c255f17 [Xiangrui Meng] fix tests in ParamsSuite 818e1db [Xiangrui Meng] merge master e1160cf [Xiangrui Meng] fix tests fbc39f0 [Xiangrui Meng] pass test:compile 108937e [Xiangrui Meng] pass compile 8726d39 [Xiangrui Meng] use parent uid in Param eaeed35 [Xiangrui Meng] update Identifiable
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linweizhong authored
for example: table: src(key string, value string) sql: with v1 as(select key, count(value) over (partition by key) cnt_val from src), v2 as(select v1.key, v1_lag.cnt_val from v1, v1 v1_lag where v1.key = v1_lag.key) select * from v2 limit 5; then will analyze fail when resolving conflicting references in Join: 'Limit 5 'Project [*] 'Subquery v2 'Project ['v1.key,'v1_lag.cnt_val] 'Filter ('v1.key = 'v1_lag.key) 'Join Inner, None Subquery v1 Project [key#95,cnt_val#94L] Window [key#95,value#96], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFCount(value#96) WindowSpecDefinition [key#95], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS cnt_val#94L], WindowSpecDefinition [key#95], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING Project [key#95,value#96] MetastoreRelation default, src, None Subquery v1_lag Subquery v1 Project [key#97,cnt_val#94L] Window [key#97,value#98], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFCount(value#98) WindowSpecDefinition [key#97], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS cnt_val#94L], WindowSpecDefinition [key#97], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING Project [key#97,value#98] MetastoreRelation default, src, None Conflicting attributes: cnt_val#94L Author: linweizhong <linweizhong@huawei.com> Closes #6114 from Sephiroth-Lin/spark-7595 and squashes the following commits: f8f2637 [linweizhong] Add unit test dfe9169 [linweizhong] Handle windowExpression with self join -
DB Tsai authored
Author: DB Tsai <dbt@netflix.com> Closes #6137 from dbtsai/clean and squashes the following commits: 185816d [DB Tsai] fix compilication issue f418d08 [DB Tsai] first commit
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- May 13, 2015
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Xiangrui Meng authored
This is similar to the changes to k-means, which gives us better control on the performance. dbtsai Author: Xiangrui Meng <meng@databricks.com> Closes #6128 from mengxr/SPARK-7612 and squashes the following commits: b5c24c5 [Xiangrui Meng] merge master a90e3ec [Xiangrui Meng] update NB training to use mllib's BLAS
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Andrew Or authored
zsxwing Author: Andrew Or <andrew@databricks.com> Closes #6138 from andrewor14/dag-viz-clean-properly and squashes the following commits: 19d4e98 [Andrew Or] Add synchronize 02542d6 [Andrew Or] Rename overloaded variable d11bee1 [Andrew Or] Don't wait until all stages have started before rendering
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zsxwing authored
Same issue as #6095 cc liancheng Author: zsxwing <zsxwing@gmail.com> Closes #6136 from zsxwing/hotfix and squashes the following commits: 4beea54 [zsxwing] Use 'new Job' in fsBasedParquet.scala
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Patrick Wendell authored
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Tathagata Das authored
[SPARK-6752] [STREAMING] [REVISED] Allow StreamingContext to be recreated from checkpoint and existing SparkContext This is a revision of the earlier version (see #5773) that passed the active SparkContext explicitly through a new set of Java and Scala API. The drawbacks are. * Hard to implement in python. * New API introduced. This is even more confusing since we are introducing getActiveOrCreate in SPARK-7553 Furthermore, there is now a direct way get an existing active SparkContext or create a new on - SparkContext.getOrCreate(conf). Its better to use this to get the SparkContext rather than have a new API to explicitly pass the context. So in this PR I have * Removed the new versions of StreamingContext.getOrCreate() which took SparkContext * Added the ability to pick up existing SparkContext when the StreamingContext tries to create a SparkContext. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #6096 from tdas/SPARK-6752 and squashes the following commits: 53f4b2d [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into SPARK-6752 f024b77 [Tathagata Das] Removed extra API and used SparkContext.getOrCreate
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Venkata Ramana Gollamudi authored
Supported InsertableRelation for JDBC Datasource JDBCRelation. Example usage: sqlContext.sql( s""" |CREATE TEMPORARY TABLE testram1 |USING org.apache.spark.sql.jdbc |OPTIONS (url '$url', dbtable 'testram1', user 'xx', password 'xx', driver 'com.h2.Driver') """.stripMargin.replaceAll("\n", " ")) sqlContext.sql("insert into table testram1 select * from testsrc") sqlContext.sql("insert overwrite table testram1 select * from testsrc") Author: Venkata Ramana Gollamudi <ramana.gollamudi@huawei.com> Closes #6121 from gvramana/JDBCDatasource_insert and squashes the following commits: f3fb5f1 [Venkata Ramana Gollamudi] Support for JDBC Datasource InsertableRelation -
Josh Rosen authored
This patch introduces a new shuffle manager that enhances the existing sort-based shuffle with a new cache-friendly sort algorithm that operates directly on binary data. The goals of this patch are to lower memory usage and Java object overheads during shuffle and to speed up sorting. It also lays groundwork for follow-up patches that will enable end-to-end processing of serialized records. The new shuffle manager, `UnsafeShuffleManager`, can be enabled by setting `spark.shuffle.manager=tungsten-sort` in SparkConf. The new shuffle manager uses directly-managed memory to implement several performance optimizations for certain types of shuffles. In cases where the new performance optimizations cannot be applied, the new shuffle manager delegates to SortShuffleManager to handle those shuffles. UnsafeShuffleManager's optimizations will apply when _all_ of the following conditions hold: - The shuffle dependency specifies no aggregation or output ordering. - The shuffle serializer supports relocation of serialized values (this is currently supported by KryoSerializer and Spark SQL's custom serializers). - The shuffle produces fewer than 16777216 output partitions. - No individual record is larger than 128 MB when serialized. In addition, extra spill-merging optimizations are automatically applied when the shuffle compression codec supports concatenation of serialized streams. This is currently supported by Spark's LZF serializer. At a high-level, UnsafeShuffleManager's design is similar to Spark's existing SortShuffleManager. In sort-based shuffle, incoming records are sorted according to their target partition ids, then written to a single map output file. Reducers fetch contiguous regions of this file in order to read their portion of the map output. In cases where the map output data is too large to fit in memory, sorted subsets of the output can are spilled to disk and those on-disk files are merged to produce the final output file. UnsafeShuffleManager optimizes this process in several ways: - Its sort operates on serialized binary data rather than Java objects, which reduces memory consumption and GC overheads. This optimization requires the record serializer to have certain properties to allow serialized records to be re-ordered without requiring deserialization. See SPARK-4550, where this optimization was first proposed and implemented, for more details. - It uses a specialized cache-efficient sorter (UnsafeShuffleExternalSorter) that sorts arrays of compressed record pointers and partition ids. By using only 8 bytes of space per record in the sorting array, this fits more of the array into cache. - The spill merging procedure operates on blocks of serialized records that belong to the same partition and does not need to deserialize records during the merge. - When the spill compression codec supports concatenation of compressed data, the spill merge simply concatenates the serialized and compressed spill partitions to produce the final output partition. This allows efficient data copying methods, like NIO's `transferTo`, to be used and avoids the need to allocate decompression or copying buffers during the merge. The shuffle read path is unchanged. This patch is similar to [SPARK-4550](http://issues.apache.org/jira/browse/SPARK-4550) / #4450 but uses a slightly different implementation. The `unsafe`-based implementation featured in this patch lays the groundwork for followup patches that will enable sorting to operate on serialized data pages that will be prepared by Spark SQL's new `unsafe` operators (such as the new aggregation operator introduced in #5725). ### Future work There are several tasks that build upon this patch, which will be left to future work: - [SPARK-7271](https://issues.apache.org/jira/browse/SPARK-7271) Redesign / extend the shuffle interfaces to accept binary data as input. The goal here is to let us bypass serialization steps in cases where the sort input is produced by an operator that operates directly on binary data. - Extension / redesign of the `Serializer` API. We can add new methods which allow serializers to determine the size requirements for serializing objects and for serializing objects directly to a specified memory address (similar to how `UnsafeRowConverter` works in Spark SQL). <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/5868) <!-- Reviewable:end --> Author: Josh Rosen <joshrosen@databricks.com> Closes #5868 from JoshRosen/unsafe-sort and squashes the following commits: ef0a86e [Josh Rosen] Fix scalastyle errors 7610f2f [Josh Rosen] Add tests for proper cleanup of shuffle data. d494ffe [Josh Rosen] Fix deserialization of JavaSerializer instances. 52a9981 [Josh Rosen] Fix some bugs in the address packing code. 51812a7 [Josh Rosen] Change shuffle manager sort name to tungsten-sort 4023fa4 [Josh Rosen] Add @Private annotation to some Java classes. de40b9d [Josh Rosen] More comments to try to explain metrics code df07699 [Josh Rosen] Attempt to clarify confusing metrics update code 5e189c6 [Josh Rosen] Track time spend closing / flushing files; split TimeTrackingOutputStream into separate file. d5779c6 [Josh Rosen] Merge remote-tracking branch 'origin/master' into unsafe-sort c2ce78e [Josh Rosen] Fix a missed usage of MAX_PARTITION_ID e3b8855 [Josh Rosen] Cleanup in UnsafeShuffleWriter 4a2c785 [Josh Rosen] rename 'sort buffer' to 'pointer array' 6276168 [Josh Rosen] Remove ability to disable spilling in UnsafeShuffleExternalSorter. 57312c9 [Josh Rosen] Clarify fileBufferSize units 2d4e4f4 [Josh Rosen] Address some minor comments in UnsafeShuffleExternalSorter. fdcac08 [Josh Rosen] Guard against overflow when expanding sort buffer. 85da63f [Josh Rosen] Cleanup in UnsafeShuffleSorterIterator. 0ad34da [Josh Rosen] Fix off-by-one in nextInt() call 56781a1 [Josh Rosen] Rename UnsafeShuffleSorter to UnsafeShuffleInMemorySorter e995d1a [Josh Rosen] Introduce MAX_SHUFFLE_OUTPUT_PARTITIONS. e58a6b4 [Josh Rosen] Add more tests for PackedRecordPointer encoding. 4f0b770 [Josh Rosen] Attempt to implement proper shuffle write metrics. d4e6d89 [Josh Rosen] Update to bit shifting constants 69d5899 [Josh Rosen] Remove some unnecessary override vals 8531286 [Josh Rosen] Add tests that automatically trigger spills. 7c953f9 [Josh Rosen] Add test that covers UnsafeShuffleSortDataFormat.swap(). e1855e5 [Josh Rosen] Fix a handful of misc. IntelliJ inspections 39434f9 [Josh Rosen] Avoid integer multiplication overflow in getMemoryUsage (thanks FindBugs!) 1e3ad52 [Josh Rosen] Delete unused ByteBufferOutputStream class. ea4f85f [Josh Rosen] Roll back an unnecessary change in Spillable. ae538dc [Josh Rosen] Document UnsafeShuffleManager. ec6d626 [Josh Rosen] Add notes on maximum # of supported shuffle partitions. 0d4d199 [Josh Rosen] Bump up shuffle.memoryFraction to make tests pass. b3b1924 [Josh Rosen] Properly implement close() and flush() in DummySerializerInstance. 1ef56c7 [Josh Rosen] Revise compression codec support in merger; test cross product of configurations. b57c17f [Josh Rosen] Disable some overly-verbose logs that rendered DEBUG useless. f780fb1 [Josh Rosen] Add test demonstrating which compression codecs support concatenation. 4a01c45 [Josh Rosen] Remove unnecessary log message 27b18b0 [Josh Rosen] That for inserting records AT the max record size. fcd9a3c [Josh Rosen] Add notes + tests for maximum record / page sizes. 9d1ee7c [Josh Rosen] Fix MiMa excludes for ShuffleWriter change fd4bb9e [Josh Rosen] Use own ByteBufferOutputStream rather than Kryo's 67d25ba [Josh Rosen] Update Exchange operator's copying logic to account for new shuffle manager 8f5061a [Josh Rosen] Strengthen assertion to check partitioning 01afc74 [Josh Rosen] Actually read data in UnsafeShuffleWriterSuite 1929a74 [Josh Rosen] Update to reflect upstream ShuffleBlockManager -> ShuffleBlockResolver rename. e8718dd [Josh Rosen] Merge remote-tracking branch 'origin/master' into unsafe-sort 9b7ebed [Josh Rosen] More defensive programming RE: cleaning up spill files and memory after errors 7cd013b [Josh Rosen] Begin refactoring to enable proper tests for spilling. 722849b [Josh Rosen] Add workaround for transferTo() bug in merging code; refactor tests. 9883e30 [Josh Rosen] Merge remote-tracking branch 'origin/master' into unsafe-sort b95e642 [Josh Rosen] Refactor and document logic that decides when to spill. 1ce1300 [Josh Rosen] More minor cleanup 5e8cf75 [Josh Rosen] More minor cleanup e67f1ea [Josh Rosen] Remove upper type bound in ShuffleWriter interface. cfe0ec4 [Josh Rosen] Address a number of minor review comments: 8a6fe52 [Josh Rosen] Rename UnsafeShuffleSpillWriter to UnsafeShuffleExternalSorter 11feeb6 [Josh Rosen] Update TODOs related to shuffle write metrics. b674412 [Josh Rosen] Merge remote-tracking branch 'origin/master' into unsafe-sort aaea17b [Josh Rosen] Add comments to UnsafeShuffleSpillWriter. 4f70141 [Josh Rosen] Fix merging; now passes UnsafeShuffleSuite tests. 133c8c9 [Josh Rosen] WIP towards testing UnsafeShuffleWriter. f480fb2 [Josh Rosen] WIP in mega-refactoring towards shuffle-specific sort. 57f1ec0 [Josh Rosen] WIP towards packed record pointers for use in optimized shuffle sort. 69232fd [Josh Rosen] Enable compressible address encoding for off-heap mode. 7ee918e [Josh Rosen] Re-order imports in tests 3aeaff7 [Josh Rosen] More refactoring and cleanup; begin cleaning iterator interfaces 3490512 [Josh Rosen] Misc. cleanup f156a8f [Josh Rosen] Hacky metrics integration; refactor some interfaces. 2776aca [Josh Rosen] First passing test for ExternalSorter. 5e100b2 [Josh Rosen] Super-messy WIP on external sort 595923a [Josh Rosen] Remove some unused variables. 8958584 [Josh Rosen] Fix bug in calculating free space in current page. f17fa8f [Josh Rosen] Add missing newline c2fca17 [Josh Rosen] Small refactoring of SerializerPropertiesSuite to enable test re-use: b8a09fe [Josh Rosen] Back out accidental log4j.properties change bfc12d3 [Josh Rosen] Add tests for serializer relocation property. 240864c [Josh Rosen] Remove PrefixComputer and require prefix to be specified as part of insert() 1433b42 [Josh Rosen] Store record length as int instead of long. 026b497 [Josh Rosen] Re-use a buffer in UnsafeShuffleWriter 0748458 [Josh Rosen] Port UnsafeShuffleWriter to Java. 87e721b [Josh Rosen] Renaming and comments d3cc310 [Josh Rosen] Flag that SparkSqlSerializer2 supports relocation e2d96ca [Josh Rosen] Expand serializer API and use new function to help control when new UnsafeShuffle path is used. e267cee [Josh Rosen] Fix compilation of UnsafeSorterSuite 9c6cf58 [Josh Rosen] Refactor to use DiskBlockObjectWriter. 253f13e [Josh Rosen] More cleanup 8e3ec20 [Josh Rosen] Begin code cleanup. 4d2f5e1 [Josh Rosen] WIP 3db12de [Josh Rosen] Minor simplification and sanity checks in UnsafeSorter 767d3ca [Josh Rosen] Fix invalid range in UnsafeSorter. e900152 [Josh Rosen] Add test for empty iterator in UnsafeSorter 57a4ea0 [Josh Rosen] Make initialSize configurable in UnsafeSorter abf7bfe [Josh Rosen] Add basic test case. 81d52c5 [Josh Rosen] WIP on UnsafeSorter
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Hari Shreedharan authored
[SPARK-7356] [STREAMING] Fix flakey tests in FlumePollingStreamSuite using SparkSink's batch CountDownLatch. This is meant to make the FlumePollingStreamSuite deterministic. Now we basically count the number of batches that have been completed - and then verify the results rather than sleeping for random periods of time. Author: Hari Shreedharan <hshreedharan@apache.org> Closes #5918 from harishreedharan/flume-test-fix and squashes the following commits: 93f24f3 [Hari Shreedharan] Add an eventually block to ensure that all received data is processed. Refactor the dstream creation and remove redundant code. 1108804 [Hari Shreedharan] [SPARK-7356][STREAMING] Fix flakey tests in FlumePollingStreamSuite using SparkSink's batch CountDownLatch.
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Andrew Or authored
zsxwing Author: Andrew Or <andrew@databricks.com> Closes #6134 from andrewor14/private-streaming-uiutils and squashes the following commits: 225df94 [Andrew Or] Privatize class
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Andrew Or authored
Old stages are removed without much feedback to the user. This happens very often in streaming. See screenshots below for more detail. zsxwing **Before** <img src="https://cloud.githubusercontent.com/assets/2133137/7621031/643cc1e0-f978-11e4-8f42-09decaac44a7.png" width="500px"/> ------------------------- **After** <img src="https://cloud.githubusercontent.com/assets/2133137/7621037/6e37348c-f978-11e4-84a5-e44e154f9b13.png" width="400px"/> Author: Andrew Or <andrew@databricks.com> Closes #6132 from andrewor14/dag-viz-remove-gracefully and squashes the following commits: 43175cd [Andrew Or] Handle removed jobs and stages gracefully
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Andrew Or authored
This is pretty useful for MLlib. <img src="https://cloud.githubusercontent.com/assets/2133137/7599650/c7d03dd8-f8b8-11e4-8c0a-0a89e786c90f.png" width="400px"/> Author: Andrew Or <andrew@databricks.com> Closes #6100 from andrewor14/dag-viz-hover and squashes the following commits: fefe2af [Andrew Or] Link tooltips for nodes that belong to the same RDD 90c6a7e [Andrew Or] Assign classes to clusters and nodes, not IDs
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Andrew Or authored
Subsequent fix following #5966. I tried this out locally. Author: Andrew Or <andrew@databricks.com> Closes #6129 from andrewor14/211-compilation and squashes the following commits: 713868f [Andrew Or] Fix compilation issue for scala 2.11
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Andrew Or authored
This is necessary for streaming and long-running Spark applications. zsxwing tdas Author: Andrew Or <andrew@databricks.com> Closes #6125 from andrewor14/viz-listener-leak and squashes the following commits: 8660949 [Andrew Or] Fix thing + add tests 33c0843 [Andrew Or] Clean up old job state
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Reynold Xin authored
JavaTypeInference into catalyst types.DateUtils into catalyst CacheManager into execution DefaultParserDialect into catalyst Author: Reynold Xin <rxin@databricks.com> Closes #6108 from rxin/sql-rename and squashes the following commits: 3fc9613 [Reynold Xin] Fixed import ordering. 83d9ff4 [Reynold Xin] Fixed codegen tests. e271e86 [Reynold Xin] mima f4e24a6 [Reynold Xin] [SQL] Move some classes into packages that are more appropriate.
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scwf authored
Optimize the case of `project(_, sort)` , a example is: `select key from (select * from testData order by key) t` before this PR: ``` == Parsed Logical Plan == 'Project ['key] 'Subquery t 'Sort ['key ASC], true 'Project [*] 'UnresolvedRelation [testData], None == Analyzed Logical Plan == Project [key#0] Subquery t Sort [key#0 ASC], true Project [key#0,value#1] Subquery testData LogicalRDD [key#0,value#1], MapPartitionsRDD[1] == Optimized Logical Plan == Project [key#0] Sort [key#0 ASC], true LogicalRDD [key#0,value#1], MapPartitionsRDD[1] == Physical Plan == Project [key#0] Sort [key#0 ASC], true Exchange (RangePartitioning [key#0 ASC], 5), [] PhysicalRDD [key#0,value#1], MapPartitionsRDD[1] ``` after this PR ``` == Parsed Logical Plan == 'Project ['key] 'Subquery t 'Sort ['key ASC], true 'Project [*] 'UnresolvedRelation [testData], None == Analyzed Logical Plan == Project [key#0] Subquery t Sort [key#0 ASC], true Project [key#0,value#1] Subquery testData LogicalRDD [key#0,value#1], MapPartitionsRDD[1] == Optimized Logical Plan == Sort [key#0 ASC], true Project [key#0] LogicalRDD [key#0,value#1], MapPartitionsRDD[1] == Physical Plan == Sort [key#0 ASC], true Exchange (RangePartitioning [key#0 ASC], 5), [] Project [key#0] PhysicalRDD [key#0,value#1], MapPartitionsRDD[1] ``` with this rule we will first do column pruning on the table and then do sorting. Author: scwf <wangfei1@huawei.com> This patch had conflicts when merged, resolved by Committer: Michael Armbrust <michael@databricks.com> Closes #5838 from scwf/pruning and squashes the following commits: b00d833 [scwf] address michael's comment e230155 [scwf] fix tests failure b09b895 [scwf] improve column pruning -
Burak Yavuz authored
The missing pieces in ml.classification for Python! cc mengxr Author: Burak Yavuz <brkyvz@gmail.com> Closes #6106 from brkyvz/ml-class and squashes the following commits: dd78237 [Burak Yavuz] fix style 1048e29 [Burak Yavuz] ready for PR
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leahmcguire authored
[SPARK-7545] [MLLIB] Added check in Bernoulli Naive Bayes to make sure that both training and predict features have values of 0 or 1 Author: leahmcguire <lmcguire@salesforce.com> Closes #6073 from leahmcguire/binaryCheckNB and squashes the following commits: b8442c2 [leahmcguire] changed to if else for value checks 911bf83 [leahmcguire] undid reformat 4eedf1e [leahmcguire] moved bernoulli check 9ee9e84 [leahmcguire] fixed style error 3f3b32c [leahmcguire] fixed zero one check so only called in combiner 831fd27 [leahmcguire] got test working f44bb3c [leahmcguire] removed changes from CV branch 67253f0 [leahmcguire] added check to bernoulli to ensure feature values are zero or one f191c71 [leahmcguire] fixed name 58d060b [leahmcguire] changed param name and test according to comments 04f0d3c [leahmcguire] Added stats from cross validation as a val in the cross validation model to save them for user access
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