[Feature] Yarn supports pyflink

streampark-common/src/main/scala/org/apache/streampark/common/conf/ConfigConst.scala

@@ -26,6 +26,14 @@ object ConfigConst {
 
   val PARAM_PREFIX = "--"
 
+  /** pyflink */
+
+  val PYTHON_SUFFIX = ".py"
+
+  val PYTHON_DRIVER_CLASS_NAME = "org.apache.flink.client.python.PythonDriver"
+
+  val PYTHON_EXECUTABLE = "venv.zip/venv/bin/python3"
+
   /** about parameter... */
 
   val KEY_APP_HOME = "app.home"

streampark-common/src/main/scala/org/apache/streampark/common/conf/Workspace.scala

@@ -102,6 +102,8 @@ case class Workspace(storageType: StorageType) {
 
   lazy val APP_UPLOADS = s"$WORKSPACE/uploads"
 
+  lazy val APP_PYTHON_VENV = s"$WORKSPACE/python/venv.zip"
+
   lazy val APP_WORKSPACE = s"$WORKSPACE/workspace"
 
   lazy val APP_FLINK = s"$WORKSPACE/flink"

streampark-common/src/main/scala/org/apache/streampark/common/util/EnvUtils.java

@@ -0,0 +1,41 @@
+/*
+ * 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.streampark.common.util;
+
+import java.lang.reflect.Field;
+import java.lang.reflect.Method;
+import java.util.Map;
+
+
+public class EnvUtils {
+    public static void setEnv(String name, String value) throws Exception {
+        getModifiableEnvironment().put(name, value);
+    }
+
+    @SuppressWarnings("unchecked")
+    private static Map<String, String> getModifiableEnvironment() throws Exception {
+        Class<?> pe = Class.forName("java.lang.ProcessEnvironment");
+        Method getenv = pe.getDeclaredMethod("getenv");
+        getenv.setAccessible(true);
+        Object unmodifiableEnvironment = getenv.invoke(null);
+        Class<?> map = Class.forName("java.util.Collections$UnmodifiableMap");
+        Field m = map.getDeclaredField("m");
+        m.setAccessible(true);
+        return (Map<String, String>) m.get(unmodifiableEnvironment);
+    }
+}
+

streampark-console/streampark-console-service/src/main/assembly/assembly.xml

@@ -68,6 +68,11 @@
             <outputDirectory>logs</outputDirectory>
             <fileMode>0755</fileMode>
         </fileSet>
+        <fileSet>
+            <directory>${project.build.directory}/../src/main/assembly/python</directory>
+            <outputDirectory>python</outputDirectory>
+            <fileMode>0755</fileMode>
+        </fileSet>
         <fileSet>
             <directory>${project.build.directory}/../src/main/assembly/temp</directory>
             <outputDirectory>temp</outputDirectory>

streampark-console/streampark-console-service/src/main/java/org/apache/streampark/console/core/service/impl/ApplicationServiceImpl.java

@@ -1559,6 +1559,14 @@ public void start(Application appParam, boolean auto) throws Exception {
     String applicationArgs =
         variableService.replaceVariable(application.getTeamId(), application.getArgs());
 
+    String pyflinkFilePath = "";
+    Resource resource =
+        resourceService.findByResourceName(application.getTeamId(), application.getJar());
+    if (resource != null
+        && StringUtils.isNotBlank(resource.getFilePath())
+        && resource.getFilePath().endsWith(ConfigConst.PYTHON_SUFFIX())) {
+      pyflinkFilePath = resource.getFilePath();
+    }
     SubmitRequest submitRequest =
         new SubmitRequest(
             flinkEnv.getFlinkVersion(),
@@ -1574,6 +1582,7 @@ public void start(Application appParam, boolean auto) throws Exception {
             getSavePointed(appParam),
             appParam.getRestoreMode() == null ? null : RestoreMode.of(appParam.getRestoreMode()),
             applicationArgs,
+            pyflinkFilePath,
             buildResult,
             kubernetesSubmitParam,
             extraParameter);

streampark-console/streampark-console-service/src/main/java/org/apache/streampark/console/core/service/impl/ResourceServiceImpl.java

@@ -17,6 +17,7 @@
 
 package org.apache.streampark.console.core.service.impl;
 
+import org.apache.streampark.common.conf.ConfigConst;
 import org.apache.streampark.common.conf.Workspace;
 import org.apache.streampark.common.fs.FsOperator;
 import org.apache.streampark.common.util.Utils;
@@ -287,6 +288,9 @@ public RestResponse checkResource(Resource resourceParam) throws JsonProcessingE
           resp.put("exception", Utils.stringifyException(e));
           return RestResponse.success().data(resp);
         }
+        if (jarFile.getName().endsWith(ConfigConst.PYTHON_SUFFIX())) {
+          return RestResponse.success().data(resp);
+        }
         Manifest manifest = Utils.getJarManifest(jarFile);
         String mainClass = manifest.getMainAttributes().getValue("Main-Class");
 

streampark-console/streampark-console-webapp/src/locales/lang/en/flink/app.ts

@@ -62,7 +62,7 @@ export default {
   programJar: 'Program Jar',
   dynamicProperties: 'Dynamic Properties',
   hadoopConfigTitle: 'System Hadoop Configuration',
-  dragUploadTitle: 'Click or drag jar to this area to upload',
+  dragUploadTitle: 'Click or drag jar or py to this area to upload',
   dragUploadTip:
     'Support for a single upload. You can upload a local jar here to support for current Job',
   dependencyError: 'please set flink version first.',

streampark-console/streampark-console-webapp/src/locales/lang/zh-CN/flink/app.ts

@@ -62,7 +62,7 @@ export default {
   programJar: '程序Jar文件',
   dynamicProperties: '动态参数',
   hadoopConfigTitle: '系统 Hadoop',
-  dragUploadTitle: '单击或拖动 jar 到此区域以上传',
+  dragUploadTitle: '单击或拖动 jar或py 到此区域以上传',
   dragUploadTip: '支持单次上传。您可以在此处上传本地 jar 以支持当前作业',
   dependencyError: '请先检查flink 版本.',
   status: '运行状态',

streampark-console/streampark-console-webapp/src/views/flink/app/components/UploadJobJar.vue

@@ -53,7 +53,7 @@
   /* Callback before file upload */
   function handleBeforeUpload(file) {
     if (file.type !== 'application/java-archive') {
-      if (!/\.(jar|JAR)$/.test(file.name)) {
+      if (!/\.(jar|JAR|py)$/.test(file.name)) {
         emit('update:loading', false);
         createMessage.error('Only jar files can be uploaded! please check your file.');
         return false;

streampark-flink/streampark-flink-client/streampark-flink-client-api/src/main/scala/org/apache/streampark/flink/client/bean/SubmitRequest.scala

@@ -63,6 +63,7 @@ case class SubmitRequest(
     savePoint: String,
     restoreMode: RestoreMode,
     args: String,
+    pyflinkFilePath: String = "",
     @Nullable buildResult: BuildResult,
     @Nullable k8sSubmitParam: KubernetesSubmitParam,
     @Nullable extraParameter: JavaMap[String, Any]) {

streampark-flink/streampark-flink-client/streampark-flink-client-core/pom.xml

@@ -64,6 +64,13 @@
             </exclusions>
         </dependency>
 
+        <dependency>
+            <groupId>org.apache.flink</groupId>
+            <artifactId>flink-python_${scala.binary.version}</artifactId>
+            <version>${flink.version}</version>
+            <scope>provided</scope>
+        </dependency>
+
         <dependency>
             <groupId>org.apache.hadoop</groupId>
             <artifactId>hadoop-client-api</artifactId>

streampark-flink/streampark-flink-client/streampark-flink-client-core/src/main/resources/pyflink.md

@@ -0,0 +1,87 @@
+
+### 1. linux Creates Python virtual environments
+
+#### 1.1. Prepare the 'setup-pyflink-virtual-env.sh script'. The default version of 'apache-flink' is '1.16.2'. You can change the version as required.The content is as follows
+
+```shell
+set -e
+# 下载Python 3.7 miniconda.sh脚本。
+wget "https://repo.continuum.io/miniconda/Miniconda3-py37_4.9.2-Linux-x86_64.sh" -O "miniconda.sh"
+
+# 为Python 3.7 miniconda.sh脚本添加执行权限。
+chmod +x miniconda.sh
+
+# 创建Python的虚拟环境。
+./miniconda.sh -b -p venv
+
+# 激活Conda Python虚拟环境。
+source venv/bin/activate ""
+
+# 安装PyFlink依赖。
+pip install "apache-flink==1.16.2"
+
+# 退出Conda Python虚拟环境。
+conda deactivate
+
+# 删除缓存的包。
+rm -rf venv/pkgs
+
+# 将准备好的Conda Python虚拟环境打包。
+zip -r venv.zip venv
+```
+
+#### 1.2. Prepare the 'build.sh script'. The content is as follows
+
+The '/build' directory needs to be created by itself. You can also change it to another directory
+
+```shell
+#!/bin/bash
+set -e -x
+yum install -y zip wget
+
+cd /root/
+bash /build/setup-pyflink-virtual-env.sh
+mv venv.zip /build/
+```
+
+#### 1.3. Execute the following command
+
+```shell
+docker run -it --rm -v $PWD:/build  -w /build quay.io/pypa/manylinux2014_x86_64 ./build.sh
+```
+After this command is executed, a file named venv.zip will be generated, which is the virtual environment of Python 3.7. You can also modify the above script, install another version of the Python virtual environment, or install the required third-party Python packages in the virtual environment.
+
+### 2. Upload venv.zip to hdfs
+
+venv.zip is about 539M in size and needs to be uploaded to hdfs by itself
+
+```shell
+hadoop fs -put ./venv.zip /streampark/python
+```
+
+### 3. Copy venv.zip to $WORKSPACE/python
+
+```shell
+copy ./venv.zip $WORKSPACE/python
+```
+
+### 4. Copy Python dependencies to $FLINK_HOME/lib
+
+```shell
+cp -r $FLINK_HOME/opt/python  $FLINK_HOME/lib
+
+cp  $FLINK_HOME/opt/flink-python-* $FLINK_HOME/lib
+```
+
+### 5. If you use a flink connector dependency in your pyflink job, you need to put it in $FLINK_HOME/lib
+
+### 6. Reference document
+```text
+https://help.aliyun.com/document_detail/413966.html#:~:text=.%2Fsetup-pyflink-%20virtual%20-env.sh,%E8%AF%A5%E5%91%BD%E4%BB%A4%E6%89%A7%E8%A1%8C%E5%AE%8C%E6%88%90%E5%90%8E%EF%BC%8C%E4%BC%9A%E7%94%9F%E6%88%90%E4%B8%80%E4%B8%AA%E5%90%8D%E4%B8%BA%20venv%20%E7%9A%84%E7%9B%AE%E5%BD%95%EF%BC%8C%E5%8D%B3%E4%B8%BAPython%203.6%E7%9A%84%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83%E3%80%82
+
+https://nightlies.apache.org/flink/flink-docs-release-1.16/zh/docs/deployment/cli/#submitting-pyflink-jobs
+
+https://nightlies.apache.org/flink/flink-docs-release-1.16/zh/docs/dev/python/python_config/
+```
+
+

streampark-flink/streampark-flink-client/streampark-flink-client-core/src/main/scala/org/apache/streampark/flink/client/impl/YarnApplicationClient.scala

@@ -17,23 +17,29 @@
 
 package org.apache.streampark.flink.client.impl
 
-import org.apache.streampark.common.conf.Workspace
+import org.apache.streampark.common.conf.{ConfigConst, Workspace}
 import org.apache.streampark.common.enums.DevelopmentMode
+import org.apache.streampark.common.fs.FsOperator
 import org.apache.streampark.common.util.{HdfsUtils, Utils}
 import org.apache.streampark.flink.client.`trait`.YarnClientTrait
 import org.apache.streampark.flink.client.bean._
 import org.apache.streampark.flink.packer.pipeline.ShadedBuildResponse
+import org.apache.streampark.flink.util.FlinkUtils
 
+import org.apache.commons.lang3.StringUtils
 import org.apache.flink.client.deployment.DefaultClusterClientServiceLoader
 import org.apache.flink.client.deployment.application.ApplicationConfiguration
 import org.apache.flink.client.program.ClusterClient
 import org.apache.flink.configuration._
+import org.apache.flink.python.PythonOptions
 import org.apache.flink.runtime.security.{SecurityConfiguration, SecurityUtils}
 import org.apache.flink.runtime.util.HadoopUtils
 import org.apache.flink.yarn.configuration.YarnConfigOptions
 import org.apache.hadoop.security.UserGroupInformation
 import org.apache.hadoop.yarn.api.records.ApplicationId
 
+import java.io.File
+import java.util
 import java.util.Collections
 import java.util.concurrent.Callable
 
@@ -93,6 +99,43 @@ object YarnApplicationClient extends YarnClientTrait {
       // yarn application Type
       .safeSet(YarnConfigOptions.APPLICATION_TYPE, submitRequest.applicationType.getName)
 
+    if (StringUtils.isNotBlank(submitRequest.pyflinkFilePath)) {
+      val pythonVenv: String = workspace.APP_PYTHON_VENV
+      if (!FsOperator.hdfs.exists(pythonVenv)) {
+        throw new RuntimeException(s"$pythonVenv File does not exist")
+      }
+      val pyflinkFile: File = new File(submitRequest.pyflinkFilePath)
+
+      val argList = new util.ArrayList[String]()
+      argList.add("-pym")
+      argList.add(pyflinkFile.getName.replace(ConfigConst.PYTHON_SUFFIX, ""))
+
+      val pythonFlinkconnectorJars: String =
+        FlinkUtils.getPythonFlinkconnectorJars(submitRequest.flinkVersion.flinkHome)
+      if (StringUtils.isNotBlank(pythonFlinkconnectorJars)) {
+        flinkConfig.setString(PipelineOptions.JARS.key(), pythonFlinkconnectorJars)
+      }
+
+      // yarn.ship-files
+      flinkConfig.setString(
+        YarnConfigOptions.SHIP_FILES.key(),
+        pyflinkFile.getParentFile.getAbsolutePath)
+
+      flinkConfig
+        // python.archives
+        .safeSet(PythonOptions.PYTHON_ARCHIVES, pythonVenv)
+        // python.client.executable
+        .safeSet(PythonOptions.PYTHON_CLIENT_EXECUTABLE, ConfigConst.PYTHON_EXECUTABLE)
+        // python.executable
+        .safeSet(PythonOptions.PYTHON_EXECUTABLE, ConfigConst.PYTHON_EXECUTABLE)
+        // python.files
+        .safeSet(PythonOptions.PYTHON_FILES, pyflinkFile.getParentFile.getName)
+        .safeSet(
+          ApplicationConfiguration.APPLICATION_MAIN_CLASS,
+          ConfigConst.PYTHON_DRIVER_CLASS_NAME)
+        .safeSet(ApplicationConfiguration.APPLICATION_ARGS, argList)
+    }
+
     logInfo(s"""
                |------------------------------------------------------------------
                |Effective submit configuration: $flinkConfig