[jira] [Commented] (SPARK-24215) Implement __repr__ and _repr_html_ for dataframes in PySpark
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https://issues.apache.org/jira/browse/SPARK-24215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16510946#comment-16510946
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Apache Spark commented on SPARK-24215:
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User 'xuanyuanking' has created a pull request for this issue:
https://github.com/apache/spark/pull/21553
> Implement __repr__ and _repr_html_ for dataframes in PySpark
>
>
> 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: Li Yuanjian
>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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[jira] [Commented] (SPARK-24215) Implement __repr__ and _repr_html_ for dataframes in PySpark
[
https://issues.apache.org/jira/browse/SPARK-24215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16481603#comment-16481603
]
Apache Spark commented on SPARK-24215:
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User 'xuanyuanking' has created a pull request for this issue:
https://github.com/apache/spark/pull/21370
> Implement __repr__ and _repr_html_ for dataframes in PySpark
>
>
> 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
>Priority: Major
>
> 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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