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https://issues.apache.org/jira/browse/SPARK-36263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Enrico Minack updated SPARK-36263:
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Description:
With SPARK-34806 we now have a way to use the `Dataset.observe` method without
the need to interact with `org.apache.spark.sql.util.QueryExecutionListener`.
This allows us to easily retrieve observations in PySpark.
Adding a `Dataset.observe(Observation, Column, Column*)` equivalent to
PySpark's `DataFrame` is straightforward while it allows to utilise
observations from Python.
was:
With SPARK-34806 we now have a way to use the `Dataset.observe` method without
the need to interact with `org.apache.spark.sql.util.QueryExecutionListener`.
This allows us to retrieve observations in PySpark, which does not support
listener callbacks.
Adding a `Dataset.observe(Observation, Column, Column*)` equivalent to
PySpark's `DataFrame` is straightforward while it allows to utilise
observations from Python.
> Add Dataset.observe(Observation, Column, Column*) to PySpark
> ------------------------------------------------------------
>
> Key: SPARK-36263
> URL: https://issues.apache.org/jira/browse/SPARK-36263
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Enrico Minack
> Priority: Major
>
> With SPARK-34806 we now have a way to use the `Dataset.observe` method
> without the need to interact with
> `org.apache.spark.sql.util.QueryExecutionListener`. This allows us to easily
> retrieve observations in PySpark.
> Adding a `Dataset.observe(Observation, Column, Column*)` equivalent to
> PySpark's `DataFrame` is straightforward while it allows to utilise
> observations from Python.
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