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* [SQL] SPARK-1571 Mistake in java example codeMichael Armbrust2014-04-221-4/+4
* Assorted clean-up for Spark-on-YARN.Patrick Wendell2014-04-221-7/+2
* [Fix #204] Eliminate delay between binding and log checkingAndrew Or2014-04-221-4/+15
* [SPARK-1506][MLLIB] Documentation improvements for MLlib 1.0Xiangrui Meng2014-04-2211-769/+1443
* [SPARK-1439, SPARK-1440] Generate unified Scaladoc across projects and JavadocsMatei Zaharia2014-04-2120-269/+207
* Clean up and simplify Spark configurationPatrick Wendell2014-04-215-186/+225
* SPARK-1408 Modify Spark on Yarn to point to the history server when app ...Thomas Graves2014-04-171-0/+1
* misleading task number of groupByKeyChen Chao2014-04-161-2/+2
* update spark.default.parallelismChen Chao2014-04-161-1/+7
* [WIP] SPARK-1430: Support sparse data in Python MLlibMatei Zaharia2014-04-153-25/+58
* Decision Tree documentation for MLlib programming guideManish Amde2014-04-152-16/+154
* SPARK-1426: Make MLlib work with NumPy versions older than 1.7Sandeep2014-04-152-8/+7
* SPARK-1374: PySpark API for SparkSQLAhir Reddy2014-04-153-7/+102
* Some clean up in build/docsPatrick Wendell2014-04-111-2/+0
* SPARK-1202 - Add a "cancel" button in the UI for stagesSundeep Narravula2014-04-101-0/+7
* Update tuning.mdAndrew Ash2014-04-101-2/+3
* Revert "SPARK-1433: Upgrade Mesos dependency to 0.17.0"Patrick Wendell2014-04-101-1/+1
* [SPARK-1276] Add a HistoryServer to render persisted UIAndrew Or2014-04-101-5/+65
* SPARK-1093: Annotate developer and experimental API'sPatrick Wendell2014-04-093-12/+56
* Spark-939: allow user jars to take precedence over spark jarsHolden Karau2014-04-081-0/+9
* SPARK-1433: Upgrade Mesos dependency to 0.17.0Sandeep2014-04-081-1/+1
* SPARK-1099: Introduce local[*] mode to infer number of coresAaron Davidson2014-04-072-5/+7
* SPARK-1154: Clean up app folders in worker nodesEvan Chan2014-04-061-0/+26
* SPARK-1314: Use SPARK_HIVE to determine if we include Hive in packagingAaron Davidson2014-04-061-2/+2
* SPARK-1387. Update build plugins, avoid plugin version warning, centralize ve...Sean Owen2014-04-061-1/+1
* SPARK-1421. Make MLlib work on Python 2.6Matei Zaharia2014-04-052-3/+2
* small fix ( proogram -> program )Prabeesh K2014-04-041-1/+1
* SPARK-1305: Support persisting RDD's directly to TachyonHaoyuan Li2014-04-042-46/+120
* SPARK-1375. Additional spark-submit cleanupSandy Ryza2014-04-041-1/+1
* [SQL] SPARK-1333 First draft of java APIMichael Armbrust2014-04-031-13/+191
* [SPARK-1342] Scala 2.10.4Mark Hamstra2014-04-011-1/+1
* SPARK-1376. In the yarn-cluster submitter, rename "args" option to "arg"Sandy Ryza2014-04-011-3/+4
* SPARK-1126. spark-app preliminarySandy Ryza2014-03-293-4/+59
* SPARK-1319: Fix scheduler to account for tasks using > 1 CPUs.Shivaram Venkataraman2014-03-251-0/+7
* SPARK-1251 Support for optimizing and executing structured queriesMichael Armbrust2014-03-204-0/+166
* Principal Component AnalysisReza Zadeh2014-03-202-0/+14
* [SPARK-1132] Persisting Web UI through refactoring the SparkListener interfaceAndrew Or2014-03-191-1/+24
* [Spark-1261] add instructions for running python examples to doc overview pageDiana Carroll2014-03-171-2/+4
* SPARK-1183. Don't use "worker" to mean executorSandy Ryza2014-03-136-24/+23
* SPARK-1064Sandy Ryza2014-03-111-0/+6
* SPARK-1167: Remove metrics-ganglia from default build due to LGPL issues...Patrick Wendell2014-03-111-1/+12
* maintain arbitrary state data for each keyChen Chao2014-03-091-1/+1
* Fix markup errors introduced in #33 (SPARK-1189)Patrick Wendell2014-03-091-3/+3
* Add timeout for fetch fileJiacheng Guo2014-03-091-0/+9
* SPARK-929: Fully deprecate usage of SPARK_MEMAaron Davidson2014-03-091-1/+1
* SPARK-1197. Change yarn-standalone to yarn-cluster and fix up running on YARN...Sandy Ryza2014-03-061-29/+36
* SPARK-1189: Add Security to Spark - Akka, Http, ConnectionManager, UI use ser...Thomas Graves2014-03-063-0/+70
* SPARK-942: Do not materialize partitions when DISK_ONLY storage level is usedKyle Ellrott2014-03-061-0/+11
* Improve building with maven docsliguoqiang2014-03-051-1/+1
* SPARK-1178: missing document of spark.scheduler.revive.intervalCodingCat2014-03-041-0/+7
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