migrate code from googleapis/java-dataproc

dataproc/pom.xml

@@ -0,0 +1,54 @@
+<?xml version='1.0' encoding='UTF-8'?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <groupId>com.google.cloud</groupId>
+  <artifactId>google-cloud-dataproc-samples</artifactId>
+  <version>0.0.1-SNAPSHOT</version><!-- This artifact should not be released -->
+  <packaging>pom</packaging>
+  <name>Google Dataproc Samples Parent</name>
+  <url>https://github.com/googleapis/java-dataproc</url>
+  <description>
+    Java idiomatic client for Google Cloud Platform services.
+  </description>
+
+  <!--
+    The parent pom defines common style checks and testing strategies for our samples.
+    Removing or replacing it should not affect the execution of the samples in anyway.
+  -->
+  <parent>
+    <groupId>com.google.cloud.samples</groupId>
+    <artifactId>shared-configuration</artifactId>
+    <version>1.2.0</version>
+  </parent>
+
+  <properties>
+    <maven.compiler.target>1.8</maven.compiler.target>
+    <maven.compiler.source>1.8</maven.compiler.source>
+    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+  </properties>
+
+  <modules>
+    <module>snippets</module>
+  </modules>
+
+  <build>
+    <plugins>
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-deploy-plugin</artifactId>
+        <version>3.0.0</version>
+        <configuration>
+          <skip>true</skip>
+        </configuration>
+      </plugin>
+      <plugin>
+        <groupId>org.sonatype.plugins</groupId>
+        <artifactId>nexus-staging-maven-plugin</artifactId>
+        <version>1.6.13</version>
+        <configuration>
+          <skipNexusStagingDeployMojo>true</skipNexusStagingDeployMojo>
+        </configuration>
+      </plugin>
+    </plugins>
+  </build>
+</project> 

dataproc/snippets/pom.xml

@@ -0,0 +1,65 @@
+<?xml version='1.0' encoding='UTF-8'?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <groupId>com.google.cloud</groupId>
+  <artifactId>dataproc-snippets</artifactId>
+  <packaging>jar</packaging>
+  <name>Google Dataproc Snippets</name>
+  <url>https://github.com/googleapis/java-dataproc</url>
+
+  <!--
+    The parent pom defines common style checks and testing strategies for our samples.
+    Removing or replacing it should not affect the execution of the samples in anyway.
+  -->
+  <parent>
+    <groupId>com.google.cloud.samples</groupId>
+    <artifactId>shared-configuration</artifactId>
+    <version>1.2.0</version>
+  </parent>
+
+  <properties>
+    <maven.compiler.target>1.8</maven.compiler.target>
+    <maven.compiler.source>1.8</maven.compiler.source>
+    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+  </properties>
+
+
+  <!-- [START dataproc_install_with_bom] -->
+  <dependencyManagement>
+    <dependencies>
+      <dependency>
+        <groupId>com.google.cloud</groupId>
+        <artifactId>libraries-bom</artifactId>
+        <version>26.1.3</version>
+        <type>pom</type>
+        <scope>import</scope>
+      </dependency>
+    </dependencies>
+  </dependencyManagement>
+
+  <dependencies>
+    <dependency>
+      <groupId>com.google.cloud</groupId>
+      <artifactId>google-cloud-dataproc</artifactId>
+    </dependency>
+    <!-- [START_EXCLUDE] -->
+    <dependency>
+      <groupId>com.google.cloud</groupId>
+      <artifactId>google-cloud-storage</artifactId>
+    </dependency>
+    <dependency>
+      <groupId>junit</groupId>
+      <artifactId>junit</artifactId>
+      <version>4.13.2</version>
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>com.google.truth</groupId>
+      <artifactId>truth</artifactId>
+      <version>1.1.3</version>
+      <scope>test</scope>
+    </dependency>
+    <!-- [END_EXCLUDE] -->
+  </dependencies>
+  <!-- [END dataproc_install_with_bom] -->
+</project>

dataproc/snippets/src/main/java/CreateCluster.java

@@ -0,0 +1,84 @@
+/*
+ * Copyright 2019 Google LLC
+ *
+ * Licensed 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.
+ */
+
+// [START dataproc_create_cluster]
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.dataproc.v1.Cluster;
+import com.google.cloud.dataproc.v1.ClusterConfig;
+import com.google.cloud.dataproc.v1.ClusterControllerClient;
+import com.google.cloud.dataproc.v1.ClusterControllerSettings;
+import com.google.cloud.dataproc.v1.ClusterOperationMetadata;
+import com.google.cloud.dataproc.v1.InstanceGroupConfig;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+public class CreateCluster {
+
+  public static void createCluster() throws IOException, InterruptedException {
+    // TODO(developer): Replace these variables before running the sample.
+    String projectId = "your-project-id";
+    String region = "your-project-region";
+    String clusterName = "your-cluster-name";
+    createCluster(projectId, region, clusterName);
+  }
+
+  public static void createCluster(String projectId, String region, String clusterName)
+      throws IOException, InterruptedException {
+    String myEndpoint = String.format("%s-dataproc.googleapis.com:443", region);
+
+    // Configure the settings for the cluster controller client.
+    ClusterControllerSettings clusterControllerSettings =
+        ClusterControllerSettings.newBuilder().setEndpoint(myEndpoint).build();
+
+    // Create a cluster controller client with the configured settings. The client only needs to be
+    // created once and can be reused for multiple requests. Using a try-with-resources
+    // closes the client, but this can also be done manually with the .close() method.
+    try (ClusterControllerClient clusterControllerClient =
+        ClusterControllerClient.create(clusterControllerSettings)) {
+      // Configure the settings for our cluster.
+      InstanceGroupConfig masterConfig =
+          InstanceGroupConfig.newBuilder()
+              .setMachineTypeUri("n1-standard-2")
+              .setNumInstances(1)
+              .build();
+      InstanceGroupConfig workerConfig =
+          InstanceGroupConfig.newBuilder()
+              .setMachineTypeUri("n1-standard-2")
+              .setNumInstances(2)
+              .build();
+      ClusterConfig clusterConfig =
+          ClusterConfig.newBuilder()
+              .setMasterConfig(masterConfig)
+              .setWorkerConfig(workerConfig)
+              .build();
+      // Create the cluster object with the desired cluster config.
+      Cluster cluster =
+          Cluster.newBuilder().setClusterName(clusterName).setConfig(clusterConfig).build();
+
+      // Create the Cloud Dataproc cluster.
+      OperationFuture<Cluster, ClusterOperationMetadata> createClusterAsyncRequest =
+          clusterControllerClient.createClusterAsync(projectId, region, cluster);
+      Cluster response = createClusterAsyncRequest.get();
+
+      // Print out a success message.
+      System.out.printf("Cluster created successfully: %s", response.getClusterName());
+
+    } catch (ExecutionException e) {
+      System.err.println(String.format("Error executing createCluster: %s ", e.getMessage()));
+    }
+  }
+}
+// [END dataproc_create_cluster]

dataproc/snippets/src/main/java/CreateClusterWithAutoscaling.java

@@ -0,0 +1,174 @@
+/*
+* Copyright 2020 Google LLC
+*
+* Licensed 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.
+*
+* This sample creates a Dataproc cluster with an autoscaling policy enabled.
+* The policy we will be creating mirrors the following YAML representation:
+*
+   workerConfig:
+     minInstances: 2
+     maxInstances: 100
+     weight: 1
+   secondaryWorkerConfig:
+     minInstances: 0
+     maxInstances: 100
+     weight: 1
+   basicAlgorithm:
+     cooldownPeriod: 4m
+     yarnConfig:
+       scaleUpFactor: 0.05
+       scaleDownFactor: 1.0
+       scaleUpMinWorkerFraction: 0.0
+       scaleDownMinWorkerFraction: 0.0
+       gracefulDecommissionTimeout: 1h
+*/
+
+// [START dataproc_create_autoscaling_cluster]
+
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.dataproc.v1.AutoscalingConfig;
+import com.google.cloud.dataproc.v1.AutoscalingPolicy;
+import com.google.cloud.dataproc.v1.AutoscalingPolicyServiceClient;
+import com.google.cloud.dataproc.v1.AutoscalingPolicyServiceSettings;
+import com.google.cloud.dataproc.v1.BasicAutoscalingAlgorithm;
+import com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig;
+import com.google.cloud.dataproc.v1.Cluster;
+import com.google.cloud.dataproc.v1.ClusterConfig;
+import com.google.cloud.dataproc.v1.ClusterControllerClient;
+import com.google.cloud.dataproc.v1.ClusterControllerSettings;
+import com.google.cloud.dataproc.v1.ClusterOperationMetadata;
+import com.google.cloud.dataproc.v1.InstanceGroupAutoscalingPolicyConfig;
+import com.google.cloud.dataproc.v1.InstanceGroupConfig;
+import com.google.cloud.dataproc.v1.RegionName;
+import com.google.protobuf.Duration;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+
+public class CreateClusterWithAutoscaling {
+
+  public static void createClusterwithAutoscaling() throws IOException, InterruptedException {
+    // TODO(developer): Replace these variables before running the sample.
+    String projectId = "your-project-id";
+    String region = "your-project-region";
+    String clusterName = "your-cluster-name";
+    String autoscalingPolicyName = "your-autoscaling-policy";
+    createClusterwithAutoscaling(projectId, region, clusterName, autoscalingPolicyName);
+  }
+
+  public static void createClusterwithAutoscaling(
+      String projectId, String region, String clusterName, String autoscalingPolicyName)
+      throws IOException, InterruptedException {
+    String myEndpoint = String.format("%s-dataproc.googleapis.com:443", region);
+
+    // Configure the settings for the cluster controller client.
+    ClusterControllerSettings clusterControllerSettings =
+        ClusterControllerSettings.newBuilder().setEndpoint(myEndpoint).build();
+
+    // Configure the settings for the autoscaling policy service client.
+    AutoscalingPolicyServiceSettings autoscalingPolicyServiceSettings =
+        AutoscalingPolicyServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
+
+    // Create a cluster controller client and an autoscaling controller client with the configured
+    // settings. The clients only need to be created once and can be reused for multiple requests.
+    // Using a
+    // try-with-resources closes the client, but this can also be done manually with the .close()
+    // method.
+    try (ClusterControllerClient clusterControllerClient =
+            ClusterControllerClient.create(clusterControllerSettings);
+        AutoscalingPolicyServiceClient autoscalingPolicyServiceClient =
+            AutoscalingPolicyServiceClient.create(autoscalingPolicyServiceSettings)) {
+
+      // Create the Autoscaling policy.
+      InstanceGroupAutoscalingPolicyConfig workerInstanceGroupAutoscalingPolicyConfig =
+          InstanceGroupAutoscalingPolicyConfig.newBuilder()
+              .setMinInstances(2)
+              .setMaxInstances(100)
+              .setWeight(1)
+              .build();
+      InstanceGroupAutoscalingPolicyConfig secondaryWorkerInstanceGroupAutoscalingPolicyConfig =
+          InstanceGroupAutoscalingPolicyConfig.newBuilder()
+              .setMinInstances(0)
+              .setMaxInstances(100)
+              .setWeight(1)
+              .build();
+      BasicYarnAutoscalingConfig basicYarnApplicationConfig =
+          BasicYarnAutoscalingConfig.newBuilder()
+              .setScaleUpFactor(0.05)
+              .setScaleDownFactor(1.0)
+              .setScaleUpMinWorkerFraction(0.0)
+              .setScaleUpMinWorkerFraction(0.0)
+              .setGracefulDecommissionTimeout(Duration.newBuilder().setSeconds(3600).build())
+              .build();
+      BasicAutoscalingAlgorithm basicAutoscalingAlgorithm =
+          BasicAutoscalingAlgorithm.newBuilder()
+              .setCooldownPeriod(Duration.newBuilder().setSeconds(240).build())
+              .setYarnConfig(basicYarnApplicationConfig)
+              .build();
+      AutoscalingPolicy autoscalingPolicy =
+          AutoscalingPolicy.newBuilder()
+              .setId(autoscalingPolicyName)
+              .setWorkerConfig(workerInstanceGroupAutoscalingPolicyConfig)
+              .setSecondaryWorkerConfig(secondaryWorkerInstanceGroupAutoscalingPolicyConfig)
+              .setBasicAlgorithm(basicAutoscalingAlgorithm)
+              .build();
+      RegionName parent = RegionName.of(projectId, region);
+
+      // Policy is uploaded here.
+      autoscalingPolicyServiceClient.createAutoscalingPolicy(parent, autoscalingPolicy);
+
+      // Now the policy can be referenced when creating a cluster.
+      String autoscalingPolicyUri =
+          String.format(
+              "projects/%s/locations/%s/autoscalingPolicies/%s",
+              projectId, region, autoscalingPolicyName);
+      AutoscalingConfig autoscalingConfig =
+          AutoscalingConfig.newBuilder().setPolicyUri(autoscalingPolicyUri).build();
+
+      // Configure the settings for our cluster.
+      InstanceGroupConfig masterConfig =
+          InstanceGroupConfig.newBuilder()
+              .setMachineTypeUri("n1-standard-2")
+              .setNumInstances(1)
+              .build();
+      InstanceGroupConfig workerConfig =
+          InstanceGroupConfig.newBuilder()
+              .setMachineTypeUri("n1-standard-2")
+              .setNumInstances(2)
+              .build();
+      ClusterConfig clusterConfig =
+          ClusterConfig.newBuilder()
+              .setMasterConfig(masterConfig)
+              .setWorkerConfig(workerConfig)
+              .setAutoscalingConfig(autoscalingConfig)
+              .build();
+
+      // Create the cluster object with the desired cluster config.
+      Cluster cluster =
+          Cluster.newBuilder().setClusterName(clusterName).setConfig(clusterConfig).build();
+
+      // Create the Dataproc cluster.
+      OperationFuture<Cluster, ClusterOperationMetadata> createClusterAsyncRequest =
+          clusterControllerClient.createClusterAsync(projectId, region, cluster);
+      Cluster response = createClusterAsyncRequest.get();
+
+      // Print out a success message.
+      System.out.printf("Cluster created successfully: %s", response.getClusterName());
+
+    } catch (ExecutionException e) {
+      // If cluster creation does not complete successfully, print the error message.
+      System.err.println(String.format("createClusterWithAutoscaling: %s ", e.getMessage()));
+    }
+  }
+}
+// [END dataproc_create_autoscaling_cluster]