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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-5886) Python API for streaming applications
Date Mon, 22 May 2017 12:00:09 GMT

    [ https://issues.apache.org/jira/browse/FLINK-5886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16019497#comment-16019497
] 

ASF GitHub Bot commented on FLINK-5886:
---------------------------------------

Github user zentol commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3838#discussion_r117724977
  
    --- Diff: flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/environment/PythonStreamExecutionEnvironment.java
---
    @@ -0,0 +1,442 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + *     http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +package org.apache.flink.streaming.python.api.environment;
    +
    +import org.apache.flink.annotation.Public;
    +import org.apache.flink.api.common.JobExecutionResult;
    +import org.apache.flink.api.common.cache.DistributedCache;
    +import org.apache.flink.api.java.tuple.Tuple2;
    +import org.apache.flink.api.java.typeutils.TypeExtractor;
    +import org.apache.flink.configuration.Configuration;
    +import org.apache.flink.core.fs.FileSystem;
    +import org.apache.flink.core.fs.Path;
    +import org.apache.flink.runtime.filecache.FileCache;
    +import org.apache.flink.streaming.api.CheckpointingMode;
    +import org.apache.flink.streaming.api.environment.LocalStreamEnvironment;
    +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
    +import org.apache.flink.streaming.api.functions.source.SourceFunction;
    +import org.apache.flink.streaming.python.api.datastream.PythonDataStream;
    +import org.apache.flink.streaming.python.api.functions.PythonGeneratorFunction;
    +import org.apache.flink.streaming.python.api.functions.PythonIteratorFunction;
    +import org.apache.flink.streaming.python.api.functions.UtilityFunctions;
    +import org.apache.flink.streaming.python.util.serialization.PyObjectSerializer;
    +import org.python.core.PyObject;
    +import org.python.core.PyString;
    +import org.python.core.PyInteger;
    +import org.python.core.PyLong;
    +import org.python.core.PyUnicode;
    +import org.python.core.PyTuple;
    +import org.python.core.PyObjectDerived;
    +import org.python.core.PyInstance;
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +import java.io.IOException;
    +import java.net.URI;
    +import java.net.URISyntaxException;
    +import java.nio.file.Paths;
    +import java.util.Collection;
    +import java.util.Iterator;
    +import java.util.Random;
    +
    +
    +/**
    + * A thin wrapper layer over {@link StreamExecutionEnvironment}.
    + *
    + * <p>The PythonStreamExecutionEnvironment is the context in which a streaming
program is executed.
    + * </p>
    + *
    + * <p>The environment provides methods to control the job execution (such as setting
the parallelism
    + * or the fault tolerance/checkpointing parameters) and to interact with the outside
world
    + * (data access).</p>
    + */
    +@Public
    +public class PythonStreamExecutionEnvironment {
    +	private final StreamExecutionEnvironment env;
    +	private static final Logger LOG = LoggerFactory.getLogger(PythonStreamExecutionEnvironment.class);
    +
    +	/**
    +	 * A thin wrapper layer over {@link StreamExecutionEnvironment#getExecutionEnvironment()}.
In addition it takes
    +	 * care for required Jython serializers registration.
    +	 *
    +	 * @return The python execution environment of the context in which the program is
    +	 * executed.
    +	 */
    +	public static PythonStreamExecutionEnvironment get_execution_environment() {
    +		return new PythonStreamExecutionEnvironment();
    +	}
    +
    +	/**
    +	 * Creates a {@link LocalStreamEnvironment}. The local execution environment
    +	 * will run the program in a multi-threaded fashion in the same JVM as the
    +	 * environment was created in. The default parallelism of the local
    +	 * environment is the number of hardware contexts (CPU cores / threads),
    +	 * unless it was specified differently by {@link #setParallelism(int)}.
    +	 *
    +	 * @param configuration
    +	 * 		Pass a custom configuration into the cluster
    +	 * @return A local execution environment with the specified parallelism.
    +	 */
    +	public static PythonStreamExecutionEnvironment create_local_execution_environment(Configuration
config) {
    --- End diff --
    
    Don't we need a separate Configuration wrapper class?


> 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
>
> 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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