[jira] [Updated] (SPARK-24215) Implement eager evaluation for DataFrame APIs

["Xiao Li (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-24215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li updated SPARK-24215:
----------------------------
    Summary: Implement eager evaluation for DataFrame APIs   (was: Implement __repr__ and _repr_html_ for dataframes in PySpark)

> Implement eager evaluation for DataFrame APIs 
> ----------------------------------------------
>
>                 Key: SPARK-24215
>                 URL: https://issues.apache.org/jira/browse/SPARK-24215
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, Spark Core, SQL
>    Affects Versions: 2.3.0
>            Reporter: Ryan Blue
>            Assignee: Yuanjian Li
>            Priority: Major
>             Fix For: 2.4.0
>
>
> To help people that are new to Spark get feedback more easily, we should implement the repr methods for Jupyter python kernels. That way, when users run pyspark in jupyter console or notebooks, they get good feedback about the queries they've defined.
> This should include an option for eager evaluation, (maybe spark.jupyter.eager-eval?). When set, the formatting methods would run dataframes and produce output like {{show}}. This is a good balance between not hiding Spark's action behavior and getting feedback to users that don't know to call actions.
> Here's the dev list thread for context: http://apache-spark-developers-list.1001551.n3.nabble.com/eager-execution-and-debuggability-td23928.html



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