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Posted to issues@spark.apache.org by "Ryan Blue (JIRA)" <ji...@apache.org> on 2018/05/08 23:09:00 UTC
[jira] [Created] (SPARK-24215) Implement __repr__ and _repr_html_
for dataframes in PySpark
Ryan Blue created SPARK-24215:
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Summary: 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, SQL
Affects Versions: 2.3.0
Reporter: Ryan Blue
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.
That output should include an option for eager evaluation, like 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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