| Commit message (Collapse) | Author | Age | Files | Lines |
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Conflicts:
README.md
core/src/main/scala/org/apache/spark/util/collection/OpenHashMap.scala
core/src/main/scala/org/apache/spark/util/collection/OpenHashSet.scala
core/src/main/scala/org/apache/spark/util/collection/PrimitiveKeyOpenHashMap.scala
pom.xml
project/SparkBuild.scala
repl/src/main/scala/org/apache/spark/repl/SparkILoop.scala
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Refactored the streaming project to separate external libraries like Twitter, Kafka, Flume, etc.
At a high level, these are the following changes.
1. All the external code was put in `SPARK_HOME/external/` as separate SBT projects and Maven modules. Their artifact names are `spark-streaming-twitter`, `spark-streaming-kafka`, etc. Both SparkBuild.scala and pom.xml files have been updated. References to external libraries and repositories have been removed from the settings of root and streaming projects/modules.
2. To avail the external functionality (say, creating a Twitter stream), the developer has to `import org.apache.spark.streaming.twitter._` . For Scala API, the developer has to call `TwitterUtils.createStream(streamingContext, ...)`. For the Java API, the developer has to call `TwitterUtils.createStream(javaStreamingContext, ...)`.
3. Each external project has its own scala and java unit tests. Note the unit tests of each external library use classes of the streaming unit tests (`TestSuiteBase`, `LocalJavaStreamingContext`, etc.). To enable this code sharing among test classes, `dependsOn(streaming % "compile->compile,test->test")` was used in the SparkBuild.scala . In the streaming/pom.xml, an additional `maven-jar-plugin` was necessary to capture this dependency (see comment inside the pom.xml for more information).
4. Jars of the external projects have been added to examples project but not to the assembly project.
5. In some files, imports have been rearrange to conform to the Spark coding guidelines.
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Conflicts:
examples/src/main/java/org/apache/spark/streaming/examples/JavaFlumeEventCount.java
streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
streaming/src/test/java/org/apache/spark/streaming/JavaAPISuite.java
streaming/src/test/scala/org/apache/spark/streaming/InputStreamsSuite.scala
streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
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repositoris from other poms and sbt.
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SPARK-1005 Ning upgrade
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Approximate distinct count
Added countApproxDistinct() to RDD and countApproxDistinctByKey() to PairRDDFunctions to approximately count distinct number of elements and distinct number of values per key, respectively. Both functions use HyperLogLog from stream-lib for counting. Both functions take a parameter that controls the trade-off between accuracy and memory consumption. Also added Scala docs and test suites for both methods.
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The correct format is to not have a trailing slash.
For me this caused non-deterministic failures due to issues fetching
certain artifacts. The issue was that some of the maven caches would
fail to fetch the artifact (due to the way that the artifact
path was concatenated with the repository) and this short-circuited
the download process in a silent way. Here is what the log output
looked like:
Downloading: http://repo.maven.apache.org/maven2/org/spark-project/akka/akka-remote_2.10/2.2.3-shaded-protobuf/akka-remote_2.10-2.2.3-shaded-protobuf.pom
[WARNING] The POM for org.spark-project.akka:akka-remote_2.10:jar:2.2.3-shaded-protobuf is missing, no dependency information available
This was pretty brutal to debug since there was no error message
anywhere and the path *looks* correct as reported by the Maven log.
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Conflicts:
core/pom.xml
core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
pom.xml
project/SparkBuild.scala
streaming/pom.xml
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala
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build/dep-resolution atleast a bit faster.
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Conflicts:
core/src/main/scala/org/apache/spark/rdd/RDD.scala
project/SparkBuild.scala
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Conflicts:
core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala
project/SparkBuild.scala
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Conflicts:
bagel/pom.xml
core/pom.xml
core/src/test/scala/org/apache/spark/ui/UISuite.scala
examples/pom.xml
mllib/pom.xml
pom.xml
project/SparkBuild.scala
repl/pom.xml
streaming/pom.xml
tools/pom.xml
In scala 2.10, a shorter representation is used for naming artifacts
so changed to shorter scala version for artifacts and made it a property in pom.
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Conflicts:
core/src/main/scala/org/apache/spark/ui/jobs/JobProgressUI.scala
docs/_config.yml
project/SparkBuild.scala
repl/src/main/scala/org/apache/spark/repl/SparkILoop.scala
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using Scala 2.10.3,
resolved maven-scala-plugin warning
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Conflicts:
core/src/main/scala/org/apache/spark/SparkContext.scala
project/SparkBuild.scala
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Conflicts:
README.md
core/pom.xml
core/src/main/scala/spark/deploy/JsonProtocol.scala
core/src/main/scala/spark/deploy/LocalSparkCluster.scala
core/src/main/scala/spark/deploy/master/Master.scala
core/src/main/scala/spark/deploy/master/MasterWebUI.scala
core/src/main/scala/spark/deploy/worker/Worker.scala
core/src/main/scala/spark/deploy/worker/WorkerWebUI.scala
core/src/main/scala/spark/storage/BlockManagerUI.scala
core/src/main/scala/spark/util/AkkaUtils.scala
pom.xml
project/SparkBuild.scala
streaming/src/main/scala/spark/streaming/receivers/ActorReceiver.scala
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Conflicts:
core/pom.xml
core/src/main/scala/spark/MapOutputTracker.scala
core/src/main/scala/spark/RDD.scala
core/src/main/scala/spark/RDDCheckpointData.scala
core/src/main/scala/spark/SparkContext.scala
core/src/main/scala/spark/Utils.scala
core/src/main/scala/spark/api/python/PythonRDD.scala
core/src/main/scala/spark/deploy/client/Client.scala
core/src/main/scala/spark/deploy/master/MasterWebUI.scala
core/src/main/scala/spark/deploy/worker/Worker.scala
core/src/main/scala/spark/deploy/worker/WorkerWebUI.scala
core/src/main/scala/spark/rdd/BlockRDD.scala
core/src/main/scala/spark/rdd/ZippedRDD.scala
core/src/main/scala/spark/scheduler/cluster/StandaloneSchedulerBackend.scala
core/src/main/scala/spark/storage/BlockManager.scala
core/src/main/scala/spark/storage/BlockManagerMaster.scala
core/src/main/scala/spark/storage/BlockManagerMasterActor.scala
core/src/main/scala/spark/storage/BlockManagerUI.scala
core/src/main/scala/spark/util/AkkaUtils.scala
core/src/test/scala/spark/SizeEstimatorSuite.scala
pom.xml
project/SparkBuild.scala
repl/src/main/scala/spark/repl/SparkILoop.scala
repl/src/test/scala/spark/repl/ReplSuite.scala
streaming/src/main/scala/spark/streaming/StreamingContext.scala
streaming/src/main/scala/spark/streaming/api/java/JavaStreamingContext.scala
streaming/src/main/scala/spark/streaming/dstream/KafkaInputDStream.scala
streaming/src/main/scala/spark/streaming/util/MasterFailureTest.scala
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log4j.properties to be put into hdfs.
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