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Type:
Epic
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Status: Resolved
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Priority:
Major
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Resolution: Done
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Affects Version/s: None
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Fix Version/s: None
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Component/s: Build, Shuffle, Spark Core
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Labels:None
This is an umbrella jira to point to dependency & asks from the Hive-on-Spark project (HIVE-7292).
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SPARK-1021 sortByKey() launches a cluster job when it shouldn't
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- Resolved
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SPARK-2848 Shade Guava in Spark deliverables
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- Resolved
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SPARK-4687 SparkContext#addFile doesn't keep file folder information
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- Resolved
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SPARK-4921 TaskSetManager mistakenly returns PROCESS_LOCAL for NO_PREF tasks
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- Resolved
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SPARK-4955 Dynamic allocation doesn't work in YARN cluster mode
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- Closed
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SPARK-2387 Remove the stage barrier for better resource utilization
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- In Progress
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SPARK-2633 enhance spark listener API to gather more spark job information
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- Resolved
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SPARK-2636 Expose job ID in JobWaiter API
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- Resolved
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SPARK-2688 Need a way to run multiple data pipeline concurrently
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- Resolved
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SPARK-2895 Support mapPartitionsWithContext in Spark Java API
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- Resolved
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SPARK-2978 Provide an MR-style shuffle transformation
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- Resolved
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SPARK-3199 native Java spark listener API support
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- Resolved
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SPARK-3215 Add remote interface for SparkContext
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- Resolved
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SPARK-3446 FutureAction should expose the job ID
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- Resolved
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SPARK-3590 Expose async APIs in the Java API
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- Resolved
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SPARK-3621 Provide a way to broadcast an RDD (instead of just a variable made of the RDD) so that a job can access
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- Resolved
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SPARK-3622 Provide a custom transformation that can output multiple RDDs
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- Resolved
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SPARK-4290 Provide an equivalent functionality of distributed cache as MR does
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- Resolved
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SPARK-4440 Enhance the job progress API to expose more information
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- Resolved
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SPARK-4567 Make SparkJobInfo and SparkStageInfo serializable
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- Resolved
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SPARK-5080 Expose more cluster resource information to user
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- Resolved
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SPARK-5199 Input metrics should show up for InputFormats that return CombineFileSplits
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- Resolved
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SPARK-5377 Dynamically add jar into Spark Driver's classpath.
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- Resolved
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SPARK-5439 Expose yarn app id for yarn mode
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- Resolved
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SPARK-3174 Provide elastic scaling within a Spark application
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- Closed
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SPARK-4585 Spark dynamic executor allocation shouldn't use maxExecutors as initial number
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- Closed
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SPARK-3691 Provide a mini cluster for testing system built on Spark
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- Closed
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