[
https://issues.apache.org/jira/browse/FLINK-17146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
sunjincheng updated FLINK-17146:
--------------------------------
Priority: Blocker (was: Major)
> Support conversion between PyFlink Table and Pandas DataFrame
> -------------------------------------------------------------
>
> Key: FLINK-17146
> URL: https://issues.apache.org/jira/browse/FLINK-17146
> Project: Flink
> Issue Type: New Feature
> Components: API / Python
> Reporter: Dian Fu
> Assignee: Dian Fu
> Priority: Blocker
> Fix For: 1.11.0
>
>
> Pandas dataframe is the de-facto standard to work with tabular data in Python
> community. PyFlink table is Flink’s representation of the tabular data in
> Python language. It would be nice to provide the ability to convert between
> the PyFlink table and Pandas dataframe in PyFlink Table API which has the
> following benefits:
> * It provides users the ability to switch between PyFlink and Pandas
> seamlessly when processing data in Python language. Users could process data
> using one execution engine and switch to another seamlessly. For example, it
> may happen that users have already got a Pandas dataframe at hand and want to
> perform some expensive transformation of it. Then they could convert it to a
> PyFlink table and leverage the power of Flink engine. Users could also
> convert a PyFlink table to Pandas dataframe and perform transformation of it
> with the rich functionalities provided by the Pandas ecosystem.
> * No intermediate connectors are needed when converting between them.
> More details could be found in
> [FLIP-120|https://cwiki.apache.org/confluence/display/FLINK/FLIP-120%3A+Support+conversion+between+PyFlink+Table+and+Pandas+DataFrame].
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
