SPARK-1839: PySpark RDD#take() shouldn't always read from driver #922
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This patch simply ports over the Scala implementation of RDD#take(), which reads the first partition at the driver, then decides how many more partitions it needs to read and will possibly start a real job if it's more than 1. (Note that SparkContext#runJob(allowLocal=true) only runs the job locally if there's 1 partition selected and no parent stages.)
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Thanks. I merged this in master. |
pdeyhim
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Jun 25, 2014
This patch simply ports over the Scala implementation of RDD#take(), which reads the first partition at the driver, then decides how many more partitions it needs to read and will possibly start a real job if it's more than 1. (Note that SparkContext#runJob(allowLocal=true) only runs the job locally if there's 1 partition selected and no parent stages.) Author: Aaron Davidson <[email protected]> Closes apache#922 from aarondav/take and squashes the following commits: fa06df9 [Aaron Davidson] SPARK-1839: PySpark RDD#take() shouldn't always read from driver
xiliu82
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Sep 4, 2014
This patch simply ports over the Scala implementation of RDD#take(), which reads the first partition at the driver, then decides how many more partitions it needs to read and will possibly start a real job if it's more than 1. (Note that SparkContext#runJob(allowLocal=true) only runs the job locally if there's 1 partition selected and no parent stages.) Author: Aaron Davidson <[email protected]> Closes apache#922 from aarondav/take and squashes the following commits: fa06df9 [Aaron Davidson] SPARK-1839: PySpark RDD#take() shouldn't always read from driver
flyrain
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flyrain
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* Add Iceberg as a dep * rdar://70004937 Rewrite row-level operations for Iceberg (apache#922) * rdar://72811621 Control distribution and ordering during table creation (apache#939) This PR adds support for defining distribution and ordering during table creation. This change is needed for feature parity with ADT in Spark 2. This PR adds new optional table creation clauses but it should only affect Iceberg users. This PR comes with new tests. More tests are in Iceberg.
wangyum
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May 26, 2023
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This patch simply ports over the Scala implementation of RDD#take(), which reads the first partition at the driver, then decides how many more partitions it needs to read and will possibly start a real job if it's more than 1. (Note that SparkContext#runJob(allowLocal=true) only runs the job locally if there's 1 partition selected and no parent stages.)