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https://issues.apache.org/jira/browse/SPARK-50994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Harsh Panchal updated SPARK-50994:
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Description:
When `Dataset` is converted into `RDD`, It executes `SpakPlan` without any
execution context. This leads to:
# No tracking is available on Spark UI for stages which are necessary to build
the `RDD`.
# Spark properties which are local to thread may not be set in the `RDD`
execution context. This leads to these properties not being sent with
`TaskContext` but some operations like reading parquet files depend on these
properties (eg, case-sesitivity).
To resolve #2, workaround is to use `SparkContext.setLocalProperty` to
maunually set the requires properties. Permanent solution is to run rdd
generation in a separate execution context where both of these issues are
resolved.
was:
When `Dataset` is converted into `RDD`, It executes `SpakPlan` without any
execution context. This leads to: # No tracking is available on Spark UI for
stages which are necessary to build the `RDD`.
# Spark properties which are local to thread may not be set in the `RDD`
execution context. This leads to these properties not being sent with
`TaskContext` but some operations like reading parquet files depend on these
properties (eg, case-sesitivity).
To resolve #2, workaround is to use `SparkContext.setLocalProperty` to
maunually set the requires properties. Permanent solution is to run rdd
generation in a separate execution context where both of these issues are
resolved.
> Track RDD conversion under execution context
> --------------------------------------------
>
> Key: SPARK-50994
> URL: https://issues.apache.org/jira/browse/SPARK-50994
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.2.1, 4.1.0
> Reporter: Harsh Panchal
> Priority: Major
>
> When `Dataset` is converted into `RDD`, It executes `SpakPlan` without any
> execution context. This leads to:
> # No tracking is available on Spark UI for stages which are necessary to
> build the `RDD`.
> # Spark properties which are local to thread may not be set in the `RDD`
> execution context. This leads to these properties not being sent with
> `TaskContext` but some operations like reading parquet files depend on these
> properties (eg, case-sesitivity).
> To resolve #2, workaround is to use `SparkContext.setLocalProperty` to
> maunually set the requires properties. Permanent solution is to run rdd
> generation in a separate execution context where both of these issues are
> resolved.
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