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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-5886) Python API for streaming applications
Date Mon, 15 Jan 2018 15:15:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-5886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16326332#comment-16326332

ASF GitHub Bot commented on FLINK-5886:

Github user zentol commented on the issue:

    Here's a preliminary changelog:
    - rebase branch to current master
    - incremented version to 1.5-SNAPSHOT
    - fixed kafka-connector dependency declaration
    	- set to provided
    	- scala version set to scala.binary.version 
    	- flink version set to project.version
    - applied checkstyle
    	- disabled method/parameter name rules for API classes
    - assigned flink-python-streaming to 'libraries' travis profile
    - PDS#map()/flat_map() now return PythonSingleOutputStreamOperator
    - renamed PDS#print() to PDS#output()
    	- print is a keyword in python and thus not usable in native python APIs
    - added PythonSingleOutputStreamOperator#name()
    - removed env#execute methods that accepted local execution argument as they are redundant
due to environment factory methods
    - made SerializerMap top-level class and renamed it to AdapterMap
    - Moved UtilityFunctions#adapt to AdapterMap class
    - renamed UtilityFunctions to InterpreterUtils
    - moved PythonobjectInputStream2 to SerializationUtils
    - renamed PythonObjectInputStream2 to SerialVersionOverridingPythonObjectInputStream
    - Introduced AbstractPythonUDF class for sharing RichRunction#open()/close() implementations
    - PythonOutputSelector now throws FlinkRuntimeException when failing during initialization
    - added generic return type to Serializationutils#deserializeObject
    - added new serializers for PyBoolean/-Float/-Integer/-Long/-String
    - PyObjectSerializer not properly fails when an exceptioin occurs
    - improved error printing
    - PythonCollector now typed to Object and properly converts non-PyObjects
    - jython functions that use a collector now have Object has output type
    	- otherwise you would get ClassCastException if jython returns something that isn't a
    - adjusted to follow PythonPlanBinder structure
    - client-like main() exception handling
    - replaced Random usage with UUID.randomUIID()
    - now loads GlobalConfiguration
    - local/distributed tmp dir now configurable
    	- introduced PythonOptions
    - no longer generate plan.py but instead import it directly via the PythonInterpreter
    - Reworked static environment factory methods from PythonStreamExecutionEnvironment into
a PythonEnvironmentFactory
    - program main() method now accepts a PythonEnvironmentFactory
    - directories are now passed properly to the environment instead of using static fields
    - removed PythonEnvironmentConfig
    - removed 'if __name__ == '__main__':' blocks from tests since the condition is never
    - removed python TestBase class
    - removed print statements from tests
    - standardized test job names
    - cleaned up PythonStreamBinderTest / made it more consistent with PythonPlanBinderTest
    - run_all_tests improvements
    	- stop after first failure
    	- print stacktrace on failure
    	- no longer relies on dirname() to get cwd but uses the module file location instead

> Python API for streaming applications
> -------------------------------------
>                 Key: FLINK-5886
>                 URL: https://issues.apache.org/jira/browse/FLINK-5886
>             Project: Flink
>          Issue Type: New Feature
>          Components: Python API
>            Reporter: Zohar Mizrahi
>            Assignee: Zohar Mizrahi
>            Priority: Major
> A work in progress to provide python interface for Flink streaming APIs. The core technology
is based on jython and thus imposes two limitations: a. user defined functions cannot use
python extensions. b. the python version is 2.x
> The branch is based on Flink release 1.2.0, as can be found here:
> https://github.com/zohar-pm/flink/tree/python-streaming
> In order to test it, someone can use IntelliJ IDE. Assuming IntelliJ was setup properly
(see: https://ci.apache.org/projects/flink/flink-docs-release-1.3/internals/ide_setup.html),
one can run/debug {{org.apache.flink.python.api.PythonStreamBinderTest}}, which in return
will execute all the tests under {{/Users/zohar/dev/pm-flink/flink-libraries/flink-python/src/test/python/org/apache/flink/python/api/streaming}}

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