Xiangrui Meng created SPARK-27373:
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Summary: Design: Kubernetes support for GPU-aware scheduling
Key: SPARK-27373
URL: https://issues.apache.org/jira/browse/SPARK-27373
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-27362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-27362:
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Description: Design and implement k8s support for GPU-aware scheduling.
> Kubernetes support
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Xiangrui Meng updated SPARK-27360:
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Description:
Design and implement standalone manager support for GPU-aware scheduling:
1.
Xiangrui Meng created SPARK-27372:
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Summary: Standalone executor process-level isolation to support
GPU scheduling
Key: SPARK-27372
URL: https://issues.apache.org/jira/browse/SPARK-27372
Project:
Xiangrui Meng created SPARK-27371:
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Summary: Standalone worker can auto discover GPUs
Key: SPARK-27371
URL: https://issues.apache.org/jira/browse/SPARK-27371
Project: Spark
Issue Type:
Xiangrui Meng created SPARK-27370:
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Summary: spark-submit requests GPUs in standalone mode
Key: SPARK-27370
URL: https://issues.apache.org/jira/browse/SPARK-27370
Project: Spark
Issue Type:
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Xiangrui Meng updated SPARK-27360:
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Description:
Design work for the standalone manager to support GPU-aware scheduling:
1.
Xiangrui Meng created SPARK-27369:
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Summary: Standalone support static conf to describe GPU resources
Key: SPARK-27369
URL: https://issues.apache.org/jira/browse/SPARK-27369
Project: Spark
Xiangrui Meng created SPARK-27368:
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Summary: Design: Standalone supports GPU scheduling
Key: SPARK-27368
URL: https://issues.apache.org/jira/browse/SPARK-27368
Project: Spark
Issue Type:
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Xiangrui Meng reassigned SPARK-27360:
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Assignee: Xiangrui Meng
> Standalone cluster mode support for GPU-aware scheduling
>
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Xiangrui Meng resolved SPARK-27005.
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Resolution: Done
Fix Version/s: 3.0.0
I'm closing the ticket since SPIP passed vote.
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Xiangrui Meng updated SPARK-27005:
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Summary: Design sketch for SPIP discussion: Accelerator-aware scheduling
(was: Design
Xiangrui Meng created SPARK-27366:
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Summary: Spark scheduler internal changes to support GPU scheduling
Key: SPARK-27366
URL: https://issues.apache.org/jira/browse/SPARK-27366
Project: Spark
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Xiangrui Meng reassigned SPARK-27005:
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Assignee: Xingbo Jiang
> Design sketch: Accelerator-aware scheduling
>
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Xiangrui Meng updated SPARK-27364:
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Description:
Design and implement:
* General guidelines for cluster managers to understand
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Xiangrui Meng updated SPARK-27364:
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Summary: User-facing APIs for GPU-aware scheduling (was: Design:
User-facing APIs for
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Xiangrui Meng updated SPARK-27361:
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Summary: YARN support for GPU-aware scheduling (was: Design: YARN support
for GPU-aware
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Xiangrui Meng updated SPARK-27363:
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Summary: Mesos support for GPU-aware scheduling (was: Design: Mesos
support for GPU-aware
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Xiangrui Meng updated SPARK-27362:
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Summary: Kubernetes support for GPU-aware scheduling (was: Design:
Kubernetes support for
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Xiangrui Meng updated SPARK-27024:
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Summary: Executor interface for cluster managers to support GPU resources
(was: Design:
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Xiangrui Meng updated SPARK-27360:
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Summary: Standalone cluster mode support for GPU-aware scheduling (was:
Design: Standalone
Xiangrui Meng created SPARK-27365:
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Summary: Spark Jenkins setup to support GPU-aware scheduling
Key: SPARK-27365
URL: https://issues.apache.org/jira/browse/SPARK-27365
Project: Spark
Issue
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Xiangrui Meng updated SPARK-27024:
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Summary: Design: Executor interface for cluster managers to support GPU
resources (was:
Xiangrui Meng created SPARK-27364:
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Summary: Design: User-facing APIs for GPU-aware scheduling
Key: SPARK-27364
URL: https://issues.apache.org/jira/browse/SPARK-27364
Project: Spark
Issue
Xiangrui Meng created SPARK-27363:
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Summary: Design: Mesos support for GPU-aware scheduling
Key: SPARK-27363
URL: https://issues.apache.org/jira/browse/SPARK-27363
Project: Spark
Issue Type:
Xiangrui Meng created SPARK-27362:
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Summary: Design: Kubernetes support for GPU-aware scheduling
Key: SPARK-27362
URL: https://issues.apache.org/jira/browse/SPARK-27362
Project: Spark
Issue
Xiangrui Meng created SPARK-27361:
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Summary: Design: YARN support for GPU-aware scheduling
Key: SPARK-27361
URL: https://issues.apache.org/jira/browse/SPARK-27361
Project: Spark
Issue Type:
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Xiangrui Meng reassigned SPARK-27024:
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Assignee: Thomas Graves
> Design executor interface to support GPU resources
>
Xiangrui Meng created SPARK-27360:
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Summary: Design: Standalone cluster mode support for GPU-aware
scheduling
Key: SPARK-27360
URL: https://issues.apache.org/jira/browse/SPARK-27360
Project: Spark
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Xiangrui Meng commented on SPARK-27299:
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[~mju] Could you post the draft design doc to JIRA?
>
Xiangrui Meng created SPARK-27317:
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Summary: New graph component user guide (algorithms)
Key: SPARK-27317
URL: https://issues.apache.org/jira/browse/SPARK-27317
Project: Spark
Issue Type:
Xiangrui Meng created SPARK-27316:
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Summary: Query-based PropertyGraph algorithms
Key: SPARK-27316
URL: https://issues.apache.org/jira/browse/SPARK-27316
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-27315:
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Summary: GraphX-based PropertyGraph algorithms
Key: SPARK-27315
URL: https://issues.apache.org/jira/browse/SPARK-27315
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-27313:
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Summary: DataFrame-based PropertyGraph algorithms
Key: SPARK-27313
URL: https://issues.apache.org/jira/browse/SPARK-27313
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-27312:
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Summary: PropertyGraph <-> GraphX conversions
Key: SPARK-27312
URL: https://issues.apache.org/jira/browse/SPARK-27312
Project: Spark
Issue Type: Story
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Xiangrui Meng updated SPARK-27309:
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Description: Create SparkSession adapter to simply ProperGraph creation
(Scala implicits?
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Xiangrui Meng updated SPARK-27309:
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Summary: PropertyGraph SparkSession adapter (Scala/Java) (was: ProperGraph
SparkSession
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Xiangrui Meng updated SPARK-27300:
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Description:
* Create graph projects in Spark repo that works with both maven and sbt.
* Add
Xiangrui Meng created SPARK-27311:
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Summary: New graph component user guide (PropertyGraph / Query)
Key: SPARK-27311
URL: https://issues.apache.org/jira/browse/SPARK-27311
Project: Spark
Xiangrui Meng created SPARK-27310:
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Summary: PropertyGraph SparkSession adapter (Python)
Key: SPARK-27310
URL: https://issues.apache.org/jira/browse/SPARK-27310
Project: Spark
Issue Type:
Xiangrui Meng created SPARK-27309:
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Summary: ProperGraph SparkSession adapter (Scala/Java)
Key: SPARK-27309
URL: https://issues.apache.org/jira/browse/SPARK-27309
Project: Spark
Issue Type:
Xiangrui Meng created SPARK-27307:
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Summary: PropertyGraph save/load (Python)
Key: SPARK-27307
URL: https://issues.apache.org/jira/browse/SPARK-27307
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-27308:
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Summary: PropertyGraph Cypher query (Python)
Key: SPARK-27308
URL: https://issues.apache.org/jira/browse/SPARK-27308
Project: Spark
Issue Type: Story
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Xiangrui Meng updated SPARK-27306:
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Description: Python API and test for SPARK-27303. (was: Python API for
SPARK-27303.)
>
Xiangrui Meng created SPARK-27306:
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Summary: PropertyGraph construction (Python)
Key: SPARK-27306
URL: https://issues.apache.org/jira/browse/SPARK-27306
Project: Spark
Issue Type: Story
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Xiangrui Meng updated SPARK-25994:
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Epic Name: Property Graph / Cypher / Algorithms
> SPIP: Property Graphs, Cypher Queries, and
Xiangrui Meng created SPARK-27305:
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Summary: PropertyGraph Cypher query (Java/Scala)
Key: SPARK-27305
URL: https://issues.apache.org/jira/browse/SPARK-27305
Project: Spark
Issue Type: Story
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Xiangrui Meng updated SPARK-27300:
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Summary: Create the new graph projects in Spark and set up build/test
(was: Create the new
Xiangrui Meng created SPARK-27304:
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Summary: PropertyGraph save/load (Scala/Java)
Key: SPARK-27304
URL: https://issues.apache.org/jira/browse/SPARK-27304
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-27303:
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Summary: PropertyGraph construction (Scala/Java)
Key: SPARK-27303
URL: https://issues.apache.org/jira/browse/SPARK-27303
Project: Spark
Issue Type: Story
Xiangrui Meng created SPARK-27302:
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Summary: Design: graph algorithms based on property graphs
Key: SPARK-27302
URL: https://issues.apache.org/jira/browse/SPARK-27302
Project: Spark
Issue
Xiangrui Meng created SPARK-27300:
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Summary: Create the new graph projects in Spark
Key: SPARK-27300
URL: https://issues.apache.org/jira/browse/SPARK-27300
Project: Spark
Issue Type: Story
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Xiangrui Meng updated SPARK-27299:
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Description:
Design doc for property graph and Cypher queries.
* Construct a property graph.
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Xiangrui Meng updated SPARK-27299:
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Description:
Design doc for property graph and Cypher queries.
* Construct a property graph.
Xiangrui Meng created SPARK-27299:
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Summary: Design: Property graph construction, save/load, and query
APIs
Key: SPARK-27299
URL: https://issues.apache.org/jira/browse/SPARK-27299
Project: Spark
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Xiangrui Meng updated SPARK-25994:
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Issue Type: Epic (was: New Feature)
> SPIP: Property Graphs, Cypher Queries, and Algorithms
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Xiangrui Meng updated SPARK-25994:
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Component/s: (was: GraphX)
Graph
> SPIP: Property Graphs, Cypher
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Xiangrui Meng updated SPARK-24615:
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Description:
(The JIRA received a major update on 2019/02/28. Some comments were based on an
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Xiangrui Meng updated SPARK-24615:
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Description:
(The JIRA received a major update on 2019/02/28. Some comments were based on an
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Xiangrui Meng updated SPARK-24615:
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Description:
(The JIRA received a major update on 2019/02/28.)
h2. Background and Motivation
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Xiangrui Meng updated SPARK-24615:
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Description:
(The JIRA received a major update on 2019/02/28.
h2. Background and Motivation
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Xiangrui Meng updated SPARK-24615:
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Summary: SPIP: Accelerator-aware task scheduling for Spark (was:
Accelerator-aware task
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Xiangrui Meng commented on SPARK-24615:
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Attached the PDF files.
> Accelerator-aware task
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Xiangrui Meng updated SPARK-24615:
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Attachment: SPIP_ Accelerator-aware scheduling.pdf
> Accelerator-aware task scheduling for
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Xiangrui Meng updated SPARK-24615:
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Attachment: Accelerator-aware scheduling in Apache Spark 3.0.pdf
> Accelerator-aware task
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Xiangrui Meng reassigned SPARK-24615:
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Assignee: Xingbo Jiang
> Accelerator-aware task scheduling for Spark
>
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Xiangrui Meng edited comment on SPARK-24374 at 2/12/19 10:54 PM:
-
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Xiangrui Meng commented on SPARK-24374:
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[~luzengxiang] When you create external processes, did
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Xiangrui Meng commented on SPARK-24579:
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[~bryanc] If we limit the scope to model inference w/
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Xiangrui Meng commented on SPARK-26410:
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There are several possible solutions to this. SPARK-23258
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Xiangrui Meng commented on SPARK-24374:
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[~luzengxiang] Did you use Python API or Scala API for
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Xiangrui Meng resolved SPARK-25970.
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Resolution: Done
> Add Instrumentation to PrefixSpan
> -
>
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Xiangrui Meng reassigned SPARK-25970:
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Assignee: zhengruifeng
> Add Instrumentation to PrefixSpan
>
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Xiangrui Meng commented on SPARK-26410:
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On the same cluster, there could be different workloads.
Xiangrui Meng created SPARK-26412:
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Summary: Allow Pandas UDF to take an iterator of pd.DataFrames for
the entire partition
Key: SPARK-26412
URL: https://issues.apache.org/jira/browse/SPARK-26412
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Xiangrui Meng updated SPARK-26410:
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Description:
We use a "maxRecordsPerBatch" conf to control the batch sizes. However, the
Xiangrui Meng created SPARK-26410:
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Summary: Support per Pandas UDF configuration
Key: SPARK-26410
URL: https://issues.apache.org/jira/browse/SPARK-26410
Project: Spark
Issue Type: New
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Xiangrui Meng commented on SPARK-26175:
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This affects Hydrogen because the external training
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Xiangrui Meng updated SPARK-26175:
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Labels: Hydrogen (was: )
> PySpark cannot terminate worker process if user program reads
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Xiangrui Meng updated SPARK-25994:
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Description:
Copied from the SPIP doc:
{quote}
GraphX was one of the foundational pillars of
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Xiangrui Meng commented on SPARK-25994:
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[~mju] Could you link the SPIP doc here and link the
Xiangrui Meng created SPARK-26028:
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Summary: Design sketch for SPIP: DataFrame-based graph queries and
algorithms
Key: SPARK-26028
URL: https://issues.apache.org/jira/browse/SPARK-26028
Project:
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Xiangrui Meng reassigned SPARK-25994:
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Assignee: Martin Junghanns
> SPIP: DataFrame-based graph queries and algorithms
>
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Xiangrui Meng reassigned SPARK-25994:
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Assignee: (was: Xiangrui Meng)
> SPIP: DataFrame-based graph queries and
Xiangrui Meng created SPARK-25994:
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Summary: SPIP: DataFrame-based graph queries and algorithms
Key: SPARK-25994
URL: https://issues.apache.org/jira/browse/SPARK-25994
Project: Spark
Issue
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Xiangrui Meng commented on SPARK-25921:
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Tested offline. This was caused by PySpark worker reuse.
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Xiangrui Meng updated SPARK-25921:
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Priority: Critical (was: Major)
> Python worker reuse causes Barrier tasks to run without
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Xiangrui Meng updated SPARK-25921:
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Target Version/s: 2.4.1
> Python worker reuse causes Barrier tasks to run without
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Xiangrui Meng updated SPARK-25793:
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Target Version/s: 2.4.1, 2.5.0
> Loading model bug in BisectingKMeans
>
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Xiangrui Meng resolved SPARK-14681.
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Resolution: Won't Do
Fix Version/s: (was: 2.4.0)
Marked the ticket as "won't do"
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Xiangrui Meng commented on SPARK-14681:
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The change were reverted in both branch-2.4 and master to
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Xiangrui Meng reopened SPARK-14681:
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> Provide label/impurity stats for spark.ml decision tree nodes
>
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Xiangrui Meng resolved SPARK-25322.
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Resolution: Done
> ML, Graph 2.4 QA: API: Experimental, DeveloperApi, final, sealed audit
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https://issues.apache.org/jira/browse/SPARK-25319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-25319.
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Resolution: Done
Assignee: Weichen Xu (was: Joseph K. Bradley)
> Spark MLlib, GraphX
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https://issues.apache.org/jira/browse/SPARK-25325?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-25325.
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Resolution: Won't Do
> ML, Graph 2.4 QA: Update user guide for new features & APIs
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https://issues.apache.org/jira/browse/SPARK-25323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-25323:
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Priority: Major (was: Critical)
> ML 2.4 QA: API: Python API coverage
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https://issues.apache.org/jira/browse/SPARK-25323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-25323.
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Resolution: Won't Do
> ML 2.4 QA: API: Python API coverage
>
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https://issues.apache.org/jira/browse/SPARK-25325?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-25325:
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Priority: Major (was: Critical)
> ML, Graph 2.4 QA: Update user guide for new features &
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https://issues.apache.org/jira/browse/SPARK-25326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-25326.
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Resolution: Won't Do
> ML, Graph 2.4 QA: Programming guide update and migration guide
>
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https://issues.apache.org/jira/browse/SPARK-25326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-25326:
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Priority: Major (was: Critical)
> ML, Graph 2.4 QA: Programming guide update and migration
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