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From da...@apache.org
Subject [48/74] [partial] incubator-beam git commit: Rename com/google/cloud/dataflow->org/apache/beam
Date Thu, 14 Apr 2016 04:48:35 GMT
http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/DataflowExampleUtils.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/DataflowExampleUtils.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/DataflowExampleUtils.java
deleted file mode 100644
index 5b98170..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/DataflowExampleUtils.java
+++ /dev/null
@@ -1,488 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.common;
-
-import com.google.api.client.googleapis.json.GoogleJsonResponseException;
-import com.google.api.client.googleapis.services.AbstractGoogleClientRequest;
-import com.google.api.client.util.BackOff;
-import com.google.api.client.util.BackOffUtils;
-import com.google.api.client.util.Sleeper;
-import com.google.api.services.bigquery.Bigquery;
-import com.google.api.services.bigquery.Bigquery.Datasets;
-import com.google.api.services.bigquery.Bigquery.Tables;
-import com.google.api.services.bigquery.model.Dataset;
-import com.google.api.services.bigquery.model.DatasetReference;
-import com.google.api.services.bigquery.model.Table;
-import com.google.api.services.bigquery.model.TableReference;
-import com.google.api.services.bigquery.model.TableSchema;
-import com.google.api.services.dataflow.Dataflow;
-import com.google.api.services.pubsub.Pubsub;
-import com.google.api.services.pubsub.model.Subscription;
-import com.google.api.services.pubsub.model.Topic;
-import com.google.cloud.dataflow.sdk.Pipeline;
-import com.google.cloud.dataflow.sdk.PipelineResult;
-import com.google.cloud.dataflow.sdk.io.TextIO;
-import com.google.cloud.dataflow.sdk.options.BigQueryOptions;
-import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions;
-import com.google.cloud.dataflow.sdk.runners.DataflowPipelineJob;
-import com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner;
-import com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner;
-import com.google.cloud.dataflow.sdk.transforms.IntraBundleParallelization;
-import com.google.cloud.dataflow.sdk.transforms.PTransform;
-import com.google.cloud.dataflow.sdk.util.AttemptBoundedExponentialBackOff;
-import com.google.cloud.dataflow.sdk.util.MonitoringUtil;
-import com.google.cloud.dataflow.sdk.util.Transport;
-import com.google.cloud.dataflow.sdk.values.PBegin;
-import com.google.cloud.dataflow.sdk.values.PCollection;
-import com.google.common.base.Strings;
-import com.google.common.base.Throwables;
-import com.google.common.collect.Lists;
-import com.google.common.collect.Sets;
-import com.google.common.util.concurrent.Uninterruptibles;
-
-import java.io.IOException;
-import java.util.Collection;
-import java.util.List;
-import java.util.Set;
-import java.util.concurrent.TimeUnit;
-
-import javax.servlet.http.HttpServletResponse;
-
-/**
- * The utility class that sets up and tears down external resources, starts the Google Cloud Pub/Sub
- * injector, and cancels the streaming and the injector pipelines once the program terminates.
- *
- * <p>It is used to run Dataflow examples, such as TrafficMaxLaneFlow and TrafficRoutes.
- */
-public class DataflowExampleUtils {
-
-  private final DataflowPipelineOptions options;
-  private Bigquery bigQueryClient = null;
-  private Pubsub pubsubClient = null;
-  private Dataflow dataflowClient = null;
-  private Set<DataflowPipelineJob> jobsToCancel = Sets.newHashSet();
-  private List<String> pendingMessages = Lists.newArrayList();
-
-  public DataflowExampleUtils(DataflowPipelineOptions options) {
-    this.options = options;
-  }
-
-  /**
-   * Do resources and runner options setup.
-   */
-  public DataflowExampleUtils(DataflowPipelineOptions options, boolean isUnbounded)
-      throws IOException {
-    this.options = options;
-    setupResourcesAndRunner(isUnbounded);
-  }
-
-  /**
-   * Sets up external resources that are required by the example,
-   * such as Pub/Sub topics and BigQuery tables.
-   *
-   * @throws IOException if there is a problem setting up the resources
-   */
-  public void setup() throws IOException {
-    Sleeper sleeper = Sleeper.DEFAULT;
-    BackOff backOff = new AttemptBoundedExponentialBackOff(3, 200);
-    Throwable lastException = null;
-    try {
-      do {
-        try {
-          setupPubsub();
-          setupBigQueryTable();
-          return;
-        } catch (GoogleJsonResponseException e) {
-          lastException = e;
-        }
-      } while (BackOffUtils.next(sleeper, backOff));
-    } catch (InterruptedException e) {
-      Thread.currentThread().interrupt();
-      // Ignore InterruptedException
-    }
-    Throwables.propagate(lastException);
-  }
-
-  /**
-   * Set up external resources, and configure the runner appropriately.
-   */
-  public void setupResourcesAndRunner(boolean isUnbounded) throws IOException {
-    if (isUnbounded) {
-      options.setStreaming(true);
-    }
-    setup();
-    setupRunner();
-  }
-
-  /**
-   * Sets up the Google Cloud Pub/Sub topic.
-   *
-   * <p>If the topic doesn't exist, a new topic with the given name will be created.
-   *
-   * @throws IOException if there is a problem setting up the Pub/Sub topic
-   */
-  public void setupPubsub() throws IOException {
-    ExamplePubsubTopicAndSubscriptionOptions pubsubOptions =
-        options.as(ExamplePubsubTopicAndSubscriptionOptions.class);
-    if (!pubsubOptions.getPubsubTopic().isEmpty()) {
-      pendingMessages.add("**********************Set Up Pubsub************************");
-      setupPubsubTopic(pubsubOptions.getPubsubTopic());
-      pendingMessages.add("The Pub/Sub topic has been set up for this example: "
-          + pubsubOptions.getPubsubTopic());
-
-      if (!pubsubOptions.getPubsubSubscription().isEmpty()) {
-        setupPubsubSubscription(
-            pubsubOptions.getPubsubTopic(), pubsubOptions.getPubsubSubscription());
-        pendingMessages.add("The Pub/Sub subscription has been set up for this example: "
-            + pubsubOptions.getPubsubSubscription());
-      }
-    }
-  }
-
-  /**
-   * Sets up the BigQuery table with the given schema.
-   *
-   * <p>If the table already exists, the schema has to match the given one. Otherwise, the example
-   * will throw a RuntimeException. If the table doesn't exist, a new table with the given schema
-   * will be created.
-   *
-   * @throws IOException if there is a problem setting up the BigQuery table
-   */
-  public void setupBigQueryTable() throws IOException {
-    ExampleBigQueryTableOptions bigQueryTableOptions =
-        options.as(ExampleBigQueryTableOptions.class);
-    if (bigQueryTableOptions.getBigQueryDataset() != null
-        && bigQueryTableOptions.getBigQueryTable() != null
-        && bigQueryTableOptions.getBigQuerySchema() != null) {
-      pendingMessages.add("******************Set Up Big Query Table*******************");
-      setupBigQueryTable(bigQueryTableOptions.getProject(),
-                         bigQueryTableOptions.getBigQueryDataset(),
-                         bigQueryTableOptions.getBigQueryTable(),
-                         bigQueryTableOptions.getBigQuerySchema());
-      pendingMessages.add("The BigQuery table has been set up for this example: "
-          + bigQueryTableOptions.getProject()
-          + ":" + bigQueryTableOptions.getBigQueryDataset()
-          + "." + bigQueryTableOptions.getBigQueryTable());
-    }
-  }
-
-  /**
-   * Tears down external resources that can be deleted upon the example's completion.
-   */
-  private void tearDown() {
-    pendingMessages.add("*************************Tear Down*************************");
-    ExamplePubsubTopicAndSubscriptionOptions pubsubOptions =
-        options.as(ExamplePubsubTopicAndSubscriptionOptions.class);
-    if (!pubsubOptions.getPubsubTopic().isEmpty()) {
-      try {
-        deletePubsubTopic(pubsubOptions.getPubsubTopic());
-        pendingMessages.add("The Pub/Sub topic has been deleted: "
-            + pubsubOptions.getPubsubTopic());
-      } catch (IOException e) {
-        pendingMessages.add("Failed to delete the Pub/Sub topic : "
-            + pubsubOptions.getPubsubTopic());
-      }
-      if (!pubsubOptions.getPubsubSubscription().isEmpty()) {
-        try {
-          deletePubsubSubscription(pubsubOptions.getPubsubSubscription());
-          pendingMessages.add("The Pub/Sub subscription has been deleted: "
-              + pubsubOptions.getPubsubSubscription());
-        } catch (IOException e) {
-          pendingMessages.add("Failed to delete the Pub/Sub subscription : "
-              + pubsubOptions.getPubsubSubscription());
-        }
-      }
-    }
-
-    ExampleBigQueryTableOptions bigQueryTableOptions =
-        options.as(ExampleBigQueryTableOptions.class);
-    if (bigQueryTableOptions.getBigQueryDataset() != null
-        && bigQueryTableOptions.getBigQueryTable() != null
-        && bigQueryTableOptions.getBigQuerySchema() != null) {
-      pendingMessages.add("The BigQuery table might contain the example's output, "
-          + "and it is not deleted automatically: "
-          + bigQueryTableOptions.getProject()
-          + ":" + bigQueryTableOptions.getBigQueryDataset()
-          + "." + bigQueryTableOptions.getBigQueryTable());
-      pendingMessages.add("Please go to the Developers Console to delete it manually."
-          + " Otherwise, you may be charged for its usage.");
-    }
-  }
-
-  private void setupBigQueryTable(String projectId, String datasetId, String tableId,
-      TableSchema schema) throws IOException {
-    if (bigQueryClient == null) {
-      bigQueryClient = Transport.newBigQueryClient(options.as(BigQueryOptions.class)).build();
-    }
-
-    Datasets datasetService = bigQueryClient.datasets();
-    if (executeNullIfNotFound(datasetService.get(projectId, datasetId)) == null) {
-      Dataset newDataset = new Dataset().setDatasetReference(
-          new DatasetReference().setProjectId(projectId).setDatasetId(datasetId));
-      datasetService.insert(projectId, newDataset).execute();
-    }
-
-    Tables tableService = bigQueryClient.tables();
-    Table table = executeNullIfNotFound(tableService.get(projectId, datasetId, tableId));
-    if (table == null) {
-      Table newTable = new Table().setSchema(schema).setTableReference(
-          new TableReference().setProjectId(projectId).setDatasetId(datasetId).setTableId(tableId));
-      tableService.insert(projectId, datasetId, newTable).execute();
-    } else if (!table.getSchema().equals(schema)) {
-      throw new RuntimeException(
-          "Table exists and schemas do not match, expecting: " + schema.toPrettyString()
-          + ", actual: " + table.getSchema().toPrettyString());
-    }
-  }
-
-  private void setupPubsubTopic(String topic) throws IOException {
-    if (pubsubClient == null) {
-      pubsubClient = Transport.newPubsubClient(options).build();
-    }
-    if (executeNullIfNotFound(pubsubClient.projects().topics().get(topic)) == null) {
-      pubsubClient.projects().topics().create(topic, new Topic().setName(topic)).execute();
-    }
-  }
-
-  private void setupPubsubSubscription(String topic, String subscription) throws IOException {
-    if (pubsubClient == null) {
-      pubsubClient = Transport.newPubsubClient(options).build();
-    }
-    if (executeNullIfNotFound(pubsubClient.projects().subscriptions().get(subscription)) == null) {
-      Subscription subInfo = new Subscription()
-        .setAckDeadlineSeconds(60)
-        .setTopic(topic);
-      pubsubClient.projects().subscriptions().create(subscription, subInfo).execute();
-    }
-  }
-
-  /**
-   * Deletes the Google Cloud Pub/Sub topic.
-   *
-   * @throws IOException if there is a problem deleting the Pub/Sub topic
-   */
-  private void deletePubsubTopic(String topic) throws IOException {
-    if (pubsubClient == null) {
-      pubsubClient = Transport.newPubsubClient(options).build();
-    }
-    if (executeNullIfNotFound(pubsubClient.projects().topics().get(topic)) != null) {
-      pubsubClient.projects().topics().delete(topic).execute();
-    }
-  }
-
-  /**
-   * Deletes the Google Cloud Pub/Sub subscription.
-   *
-   * @throws IOException if there is a problem deleting the Pub/Sub subscription
-   */
-  private void deletePubsubSubscription(String subscription) throws IOException {
-    if (pubsubClient == null) {
-      pubsubClient = Transport.newPubsubClient(options).build();
-    }
-    if (executeNullIfNotFound(pubsubClient.projects().subscriptions().get(subscription)) != null) {
-      pubsubClient.projects().subscriptions().delete(subscription).execute();
-    }
-  }
-
-  /**
-   * If this is an unbounded (streaming) pipeline, and both inputFile and pubsub topic are defined,
-   * start an 'injector' pipeline that publishes the contents of the file to the given topic, first
-   * creating the topic if necessary.
-   */
-  public void startInjectorIfNeeded(String inputFile) {
-    ExamplePubsubTopicOptions pubsubTopicOptions = options.as(ExamplePubsubTopicOptions.class);
-    if (pubsubTopicOptions.isStreaming()
-        && !Strings.isNullOrEmpty(inputFile)
-        && !Strings.isNullOrEmpty(pubsubTopicOptions.getPubsubTopic())) {
-      runInjectorPipeline(inputFile, pubsubTopicOptions.getPubsubTopic());
-    }
-  }
-
-  /**
-   * Do some runner setup: check that the DirectPipelineRunner is not used in conjunction with
-   * streaming, and if streaming is specified, use the DataflowPipelineRunner. Return the streaming
-   * flag value.
-   */
-  public void setupRunner() {
-    if (options.isStreaming() && options.getRunner() != DirectPipelineRunner.class) {
-      // In order to cancel the pipelines automatically,
-      // {@literal DataflowPipelineRunner} is forced to be used.
-      options.setRunner(DataflowPipelineRunner.class);
-    }
-  }
-
-  /**
-   * Runs a batch pipeline to inject data into the PubSubIO input topic.
-   *
-   * <p>The injector pipeline will read from the given text file, and inject data
-   * into the Google Cloud Pub/Sub topic.
-   */
-  public void runInjectorPipeline(String inputFile, String topic) {
-    runInjectorPipeline(TextIO.Read.from(inputFile), topic, null);
-  }
-
-  /**
-   * Runs a batch pipeline to inject data into the PubSubIO input topic.
-   *
-   * <p>The injector pipeline will read from the given source, and inject data
-   * into the Google Cloud Pub/Sub topic.
-   */
-  public void runInjectorPipeline(PTransform<? super PBegin, PCollection<String>> readSource,
-                                  String topic,
-                                  String pubsubTimestampTabelKey) {
-    PubsubFileInjector.Bound injector;
-    if (Strings.isNullOrEmpty(pubsubTimestampTabelKey)) {
-      injector = PubsubFileInjector.publish(topic);
-    } else {
-      injector = PubsubFileInjector.withTimestampLabelKey(pubsubTimestampTabelKey).publish(topic);
-    }
-    DataflowPipelineOptions copiedOptions = options.cloneAs(DataflowPipelineOptions.class);
-    if (options.getServiceAccountName() != null) {
-      copiedOptions.setServiceAccountName(options.getServiceAccountName());
-    }
-    if (options.getServiceAccountKeyfile() != null) {
-      copiedOptions.setServiceAccountKeyfile(options.getServiceAccountKeyfile());
-    }
-    copiedOptions.setStreaming(false);
-    copiedOptions.setWorkerHarnessContainerImage(
-        DataflowPipelineRunner.BATCH_WORKER_HARNESS_CONTAINER_IMAGE);
-    copiedOptions.setNumWorkers(options.as(DataflowExampleOptions.class).getInjectorNumWorkers());
-    copiedOptions.setJobName(options.getJobName() + "-injector");
-    Pipeline injectorPipeline = Pipeline.create(copiedOptions);
-    injectorPipeline.apply(readSource)
-                    .apply(IntraBundleParallelization
-                        .of(injector)
-                        .withMaxParallelism(20));
-    PipelineResult result = injectorPipeline.run();
-    if (result instanceof DataflowPipelineJob) {
-      jobsToCancel.add(((DataflowPipelineJob) result));
-    }
-  }
-
-  /**
-   * Runs the provided pipeline to inject data into the PubSubIO input topic.
-   */
-  public void runInjectorPipeline(Pipeline injectorPipeline) {
-    PipelineResult result = injectorPipeline.run();
-    if (result instanceof DataflowPipelineJob) {
-      jobsToCancel.add(((DataflowPipelineJob) result));
-    }
-  }
-
-  /**
-   * Start the auxiliary injector pipeline, then wait for this pipeline to finish.
-   */
-  public void mockUnboundedSource(String inputFile, PipelineResult result) {
-    startInjectorIfNeeded(inputFile);
-    waitToFinish(result);
-  }
-
-  /**
-   * If {@literal DataflowPipelineRunner} or {@literal BlockingDataflowPipelineRunner} is used,
-   * waits for the pipeline to finish and cancels it (and the injector) before the program exists.
-   */
-  public void waitToFinish(PipelineResult result) {
-    if (result instanceof DataflowPipelineJob) {
-      final DataflowPipelineJob job = (DataflowPipelineJob) result;
-      jobsToCancel.add(job);
-      if (!options.as(DataflowExampleOptions.class).getKeepJobsRunning()) {
-        addShutdownHook(jobsToCancel);
-      }
-      try {
-        job.waitToFinish(-1, TimeUnit.SECONDS, new MonitoringUtil.PrintHandler(System.out));
-      } catch (Exception e) {
-        throw new RuntimeException("Failed to wait for job to finish: " + job.getJobId());
-      }
-    } else {
-      // Do nothing if the given PipelineResult doesn't support waitToFinish(),
-      // such as EvaluationResults returned by DirectPipelineRunner.
-      tearDown();
-      printPendingMessages();
-    }
-  }
-
-  private void addShutdownHook(final Collection<DataflowPipelineJob> jobs) {
-    if (dataflowClient == null) {
-      dataflowClient = options.getDataflowClient();
-    }
-
-    Runtime.getRuntime().addShutdownHook(new Thread() {
-      @Override
-      public void run() {
-        tearDown();
-        printPendingMessages();
-        for (DataflowPipelineJob job : jobs) {
-          System.out.println("Canceling example pipeline: " + job.getJobId());
-          try {
-            job.cancel();
-          } catch (IOException e) {
-            System.out.println("Failed to cancel the job,"
-                + " please go to the Developers Console to cancel it manually");
-            System.out.println(
-                MonitoringUtil.getJobMonitoringPageURL(job.getProjectId(), job.getJobId()));
-          }
-        }
-
-        for (DataflowPipelineJob job : jobs) {
-          boolean cancellationVerified = false;
-          for (int retryAttempts = 6; retryAttempts > 0; retryAttempts--) {
-            if (job.getState().isTerminal()) {
-              cancellationVerified = true;
-              System.out.println("Canceled example pipeline: " + job.getJobId());
-              break;
-            } else {
-              System.out.println(
-                  "The example pipeline is still running. Verifying the cancellation.");
-            }
-            Uninterruptibles.sleepUninterruptibly(10, TimeUnit.SECONDS);
-          }
-          if (!cancellationVerified) {
-            System.out.println("Failed to verify the cancellation for job: " + job.getJobId());
-            System.out.println("Please go to the Developers Console to verify manually:");
-            System.out.println(
-                MonitoringUtil.getJobMonitoringPageURL(job.getProjectId(), job.getJobId()));
-          }
-        }
-      }
-    });
-  }
-
-  private void printPendingMessages() {
-    System.out.println();
-    System.out.println("***********************************************************");
-    System.out.println("***********************************************************");
-    for (String message : pendingMessages) {
-      System.out.println(message);
-    }
-    System.out.println("***********************************************************");
-    System.out.println("***********************************************************");
-  }
-
-  private static <T> T executeNullIfNotFound(
-      AbstractGoogleClientRequest<T> request) throws IOException {
-    try {
-      return request.execute();
-    } catch (GoogleJsonResponseException e) {
-      if (e.getStatusCode() == HttpServletResponse.SC_NOT_FOUND) {
-        return null;
-      } else {
-        throw e;
-      }
-    }
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExampleBigQueryTableOptions.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExampleBigQueryTableOptions.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExampleBigQueryTableOptions.java
deleted file mode 100644
index a026f3e..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExampleBigQueryTableOptions.java
+++ /dev/null
@@ -1,56 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.common;
-
-import com.google.api.services.bigquery.model.TableSchema;
-import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions;
-import com.google.cloud.dataflow.sdk.options.Default;
-import com.google.cloud.dataflow.sdk.options.DefaultValueFactory;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.PipelineOptions;
-
-/**
- * Options that can be used to configure BigQuery tables in Dataflow examples.
- * The project defaults to the project being used to run the example.
- */
-public interface ExampleBigQueryTableOptions extends DataflowPipelineOptions {
-  @Description("BigQuery dataset name")
-  @Default.String("dataflow_examples")
-  String getBigQueryDataset();
-  void setBigQueryDataset(String dataset);
-
-  @Description("BigQuery table name")
-  @Default.InstanceFactory(BigQueryTableFactory.class)
-  String getBigQueryTable();
-  void setBigQueryTable(String table);
-
-  @Description("BigQuery table schema")
-  TableSchema getBigQuerySchema();
-  void setBigQuerySchema(TableSchema schema);
-
-  /**
-   * Returns the job name as the default BigQuery table name.
-   */
-  static class BigQueryTableFactory implements DefaultValueFactory<String> {
-    @Override
-    public String create(PipelineOptions options) {
-      return options.as(DataflowPipelineOptions.class).getJobName()
-          .replace('-', '_');
-    }
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicAndSubscriptionOptions.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicAndSubscriptionOptions.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicAndSubscriptionOptions.java
deleted file mode 100644
index bd8cace..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicAndSubscriptionOptions.java
+++ /dev/null
@@ -1,47 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.common;
-
-import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions;
-import com.google.cloud.dataflow.sdk.options.Default;
-import com.google.cloud.dataflow.sdk.options.DefaultValueFactory;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.PipelineOptions;
-
-/**
- * Options that can be used to configure Pub/Sub topic/subscription in Dataflow examples.
- */
-public interface ExamplePubsubTopicAndSubscriptionOptions extends ExamplePubsubTopicOptions {
-  @Description("Pub/Sub subscription")
-  @Default.InstanceFactory(PubsubSubscriptionFactory.class)
-  String getPubsubSubscription();
-  void setPubsubSubscription(String subscription);
-
-  /**
-   * Returns a default Pub/Sub subscription based on the project and the job names.
-   */
-  static class PubsubSubscriptionFactory implements DefaultValueFactory<String> {
-    @Override
-    public String create(PipelineOptions options) {
-      DataflowPipelineOptions dataflowPipelineOptions =
-          options.as(DataflowPipelineOptions.class);
-      return "projects/" + dataflowPipelineOptions.getProject()
-          + "/subscriptions/" + dataflowPipelineOptions.getJobName();
-    }
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicOptions.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicOptions.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicOptions.java
deleted file mode 100644
index 14df8d9..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/ExamplePubsubTopicOptions.java
+++ /dev/null
@@ -1,47 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.common;
-
-import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions;
-import com.google.cloud.dataflow.sdk.options.Default;
-import com.google.cloud.dataflow.sdk.options.DefaultValueFactory;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.PipelineOptions;
-
-/**
- * Options that can be used to configure Pub/Sub topic in Dataflow examples.
- */
-public interface ExamplePubsubTopicOptions extends DataflowPipelineOptions {
-  @Description("Pub/Sub topic")
-  @Default.InstanceFactory(PubsubTopicFactory.class)
-  String getPubsubTopic();
-  void setPubsubTopic(String topic);
-
-  /**
-   * Returns a default Pub/Sub topic based on the project and the job names.
-   */
-  static class PubsubTopicFactory implements DefaultValueFactory<String> {
-    @Override
-    public String create(PipelineOptions options) {
-      DataflowPipelineOptions dataflowPipelineOptions =
-          options.as(DataflowPipelineOptions.class);
-      return "projects/" + dataflowPipelineOptions.getProject()
-          + "/topics/" + dataflowPipelineOptions.getJobName();
-    }
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/PubsubFileInjector.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/PubsubFileInjector.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/PubsubFileInjector.java
deleted file mode 100644
index eb3d1ac..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/common/PubsubFileInjector.java
+++ /dev/null
@@ -1,154 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.common;
-
-import com.google.api.services.pubsub.Pubsub;
-import com.google.api.services.pubsub.model.PublishRequest;
-import com.google.api.services.pubsub.model.PubsubMessage;
-import com.google.cloud.dataflow.sdk.Pipeline;
-import com.google.cloud.dataflow.sdk.io.TextIO;
-import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.PipelineOptions;
-import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory;
-import com.google.cloud.dataflow.sdk.options.Validation;
-import com.google.cloud.dataflow.sdk.transforms.DoFn;
-import com.google.cloud.dataflow.sdk.transforms.IntraBundleParallelization;
-import com.google.cloud.dataflow.sdk.util.Transport;
-import com.google.common.collect.ImmutableMap;
-
-import java.io.IOException;
-import java.util.Arrays;
-
-/**
- * A batch Dataflow pipeline for injecting a set of GCS files into
- * a PubSub topic line by line. Empty lines are skipped.
- *
- * <p>This is useful for testing streaming
- * pipelines. Note that since batch pipelines might retry chunks, this
- * does _not_ guarantee exactly-once injection of file data. Some lines may
- * be published multiple times.
- * </p>
- */
-public class PubsubFileInjector {
-
-  /**
-   * An incomplete {@code PubsubFileInjector} transform with unbound output topic.
-   */
-  public static class Unbound {
-    private final String timestampLabelKey;
-
-    Unbound() {
-      this.timestampLabelKey = null;
-    }
-
-    Unbound(String timestampLabelKey) {
-      this.timestampLabelKey = timestampLabelKey;
-    }
-
-    Unbound withTimestampLabelKey(String timestampLabelKey) {
-      return new Unbound(timestampLabelKey);
-    }
-
-    public Bound publish(String outputTopic) {
-      return new Bound(outputTopic, timestampLabelKey);
-    }
-  }
-
-  /** A DoFn that publishes non-empty lines to Google Cloud PubSub. */
-  public static class Bound extends DoFn<String, Void> {
-    private final String outputTopic;
-    private final String timestampLabelKey;
-    public transient Pubsub pubsub;
-
-    public Bound(String outputTopic, String timestampLabelKey) {
-      this.outputTopic = outputTopic;
-      this.timestampLabelKey = timestampLabelKey;
-    }
-
-    @Override
-    public void startBundle(Context context) {
-      this.pubsub =
-          Transport.newPubsubClient(context.getPipelineOptions().as(DataflowPipelineOptions.class))
-              .build();
-    }
-
-    @Override
-    public void processElement(ProcessContext c) throws IOException {
-      if (c.element().isEmpty()) {
-        return;
-      }
-      PubsubMessage pubsubMessage = new PubsubMessage();
-      pubsubMessage.encodeData(c.element().getBytes());
-      if (timestampLabelKey != null) {
-        pubsubMessage.setAttributes(
-            ImmutableMap.of(timestampLabelKey, Long.toString(c.timestamp().getMillis())));
-      }
-      PublishRequest publishRequest = new PublishRequest();
-      publishRequest.setMessages(Arrays.asList(pubsubMessage));
-      this.pubsub.projects().topics().publish(outputTopic, publishRequest).execute();
-    }
-  }
-
-  /**
-   * Creates a {@code PubsubFileInjector} transform with the given timestamp label key.
-   */
-  public static Unbound withTimestampLabelKey(String timestampLabelKey) {
-    return new Unbound(timestampLabelKey);
-  }
-
-  /**
-   * Creates a {@code PubsubFileInjector} transform that publishes to the given output topic.
-   */
-  public static Bound publish(String outputTopic) {
-    return new Unbound().publish(outputTopic);
-  }
-
-  /**
-   * Command line parameter options.
-   */
-  private interface PubsubFileInjectorOptions extends PipelineOptions {
-    @Description("GCS location of files.")
-    @Validation.Required
-    String getInput();
-    void setInput(String value);
-
-    @Description("Topic to publish on.")
-    @Validation.Required
-    String getOutputTopic();
-    void setOutputTopic(String value);
-  }
-
-  /**
-   * Sets up and starts streaming pipeline.
-   */
-  public static void main(String[] args) {
-    PubsubFileInjectorOptions options = PipelineOptionsFactory.fromArgs(args)
-        .withValidation()
-        .as(PubsubFileInjectorOptions.class);
-
-    Pipeline pipeline = Pipeline.create(options);
-
-    pipeline
-        .apply(TextIO.Read.from(options.getInput()))
-        .apply(IntraBundleParallelization.of(PubsubFileInjector.publish(options.getOutputTopic()))
-            .withMaxParallelism(20));
-
-    pipeline.run();
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/AutoComplete.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/AutoComplete.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/AutoComplete.java
deleted file mode 100644
index 343b17b..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/AutoComplete.java
+++ /dev/null
@@ -1,517 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.complete;
-
-import com.google.api.services.bigquery.model.TableFieldSchema;
-import com.google.api.services.bigquery.model.TableReference;
-import com.google.api.services.bigquery.model.TableRow;
-import com.google.api.services.bigquery.model.TableSchema;
-import com.google.api.services.datastore.DatastoreV1.Entity;
-import com.google.api.services.datastore.DatastoreV1.Key;
-import com.google.api.services.datastore.DatastoreV1.Value;
-import com.google.api.services.datastore.client.DatastoreHelper;
-import com.google.cloud.dataflow.examples.common.DataflowExampleUtils;
-import com.google.cloud.dataflow.examples.common.ExampleBigQueryTableOptions;
-import com.google.cloud.dataflow.examples.common.ExamplePubsubTopicOptions;
-import com.google.cloud.dataflow.sdk.Pipeline;
-import com.google.cloud.dataflow.sdk.PipelineResult;
-import com.google.cloud.dataflow.sdk.coders.AvroCoder;
-import com.google.cloud.dataflow.sdk.coders.DefaultCoder;
-import com.google.cloud.dataflow.sdk.io.BigQueryIO;
-import com.google.cloud.dataflow.sdk.io.DatastoreIO;
-import com.google.cloud.dataflow.sdk.io.PubsubIO;
-import com.google.cloud.dataflow.sdk.io.TextIO;
-import com.google.cloud.dataflow.sdk.options.Default;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory;
-import com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner;
-import com.google.cloud.dataflow.sdk.transforms.Count;
-import com.google.cloud.dataflow.sdk.transforms.DoFn;
-import com.google.cloud.dataflow.sdk.transforms.Filter;
-import com.google.cloud.dataflow.sdk.transforms.Flatten;
-import com.google.cloud.dataflow.sdk.transforms.PTransform;
-import com.google.cloud.dataflow.sdk.transforms.ParDo;
-import com.google.cloud.dataflow.sdk.transforms.Partition;
-import com.google.cloud.dataflow.sdk.transforms.Partition.PartitionFn;
-import com.google.cloud.dataflow.sdk.transforms.SerializableFunction;
-import com.google.cloud.dataflow.sdk.transforms.Top;
-import com.google.cloud.dataflow.sdk.transforms.windowing.GlobalWindows;
-import com.google.cloud.dataflow.sdk.transforms.windowing.SlidingWindows;
-import com.google.cloud.dataflow.sdk.transforms.windowing.Window;
-import com.google.cloud.dataflow.sdk.transforms.windowing.WindowFn;
-import com.google.cloud.dataflow.sdk.values.KV;
-import com.google.cloud.dataflow.sdk.values.PBegin;
-import com.google.cloud.dataflow.sdk.values.PCollection;
-import com.google.cloud.dataflow.sdk.values.PCollectionList;
-import com.google.common.base.MoreObjects;
-import com.google.common.base.Preconditions;
-
-import org.joda.time.Duration;
-
-import java.io.IOException;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/**
- * An example that computes the most popular hash tags
- * for every prefix, which can be used for auto-completion.
- *
- * <p>Concepts: Using the same pipeline in both streaming and batch, combiners,
- *              composite transforms.
- *
- * <p>To execute this pipeline using the Dataflow service in batch mode,
- * specify pipeline configuration:
- * <pre>{@code
- *   --project=YOUR_PROJECT_ID
- *   --stagingLocation=gs://YOUR_STAGING_DIRECTORY
- *   --runner=DataflowPipelineRunner
- *   --inputFile=gs://path/to/input*.txt
- * }</pre>
- *
- * <p>To execute this pipeline using the Dataflow service in streaming mode,
- * specify pipeline configuration:
- * <pre>{@code
- *   --project=YOUR_PROJECT_ID
- *   --stagingLocation=gs://YOUR_STAGING_DIRECTORY
- *   --runner=DataflowPipelineRunner
- *   --inputFile=gs://YOUR_INPUT_DIRECTORY/*.txt
- *   --streaming
- * }</pre>
- *
- * <p>This will update the datastore every 10 seconds based on the last
- * 30 minutes of data received.
- */
-public class AutoComplete {
-
-  /**
-   * A PTransform that takes as input a list of tokens and returns
-   * the most common tokens per prefix.
-   */
-  public static class ComputeTopCompletions
-      extends PTransform<PCollection<String>, PCollection<KV<String, List<CompletionCandidate>>>> {
-    private final int candidatesPerPrefix;
-    private final boolean recursive;
-
-    protected ComputeTopCompletions(int candidatesPerPrefix, boolean recursive) {
-      this.candidatesPerPrefix = candidatesPerPrefix;
-      this.recursive = recursive;
-    }
-
-    public static ComputeTopCompletions top(int candidatesPerPrefix, boolean recursive) {
-      return new ComputeTopCompletions(candidatesPerPrefix, recursive);
-    }
-
-    @Override
-    public PCollection<KV<String, List<CompletionCandidate>>> apply(PCollection<String> input) {
-      PCollection<CompletionCandidate> candidates = input
-        // First count how often each token appears.
-        .apply(new Count.PerElement<String>())
-
-        // Map the KV outputs of Count into our own CompletionCandiate class.
-        .apply(ParDo.named("CreateCompletionCandidates").of(
-            new DoFn<KV<String, Long>, CompletionCandidate>() {
-              @Override
-              public void processElement(ProcessContext c) {
-                c.output(new CompletionCandidate(c.element().getKey(), c.element().getValue()));
-              }
-            }));
-
-      // Compute the top via either a flat or recursive algorithm.
-      if (recursive) {
-        return candidates
-          .apply(new ComputeTopRecursive(candidatesPerPrefix, 1))
-          .apply(Flatten.<KV<String, List<CompletionCandidate>>>pCollections());
-      } else {
-        return candidates
-          .apply(new ComputeTopFlat(candidatesPerPrefix, 1));
-      }
-    }
-  }
-
-  /**
-   * Lower latency, but more expensive.
-   */
-  private static class ComputeTopFlat
-      extends PTransform<PCollection<CompletionCandidate>,
-                         PCollection<KV<String, List<CompletionCandidate>>>> {
-    private final int candidatesPerPrefix;
-    private final int minPrefix;
-
-    public ComputeTopFlat(int candidatesPerPrefix, int minPrefix) {
-      this.candidatesPerPrefix = candidatesPerPrefix;
-      this.minPrefix = minPrefix;
-    }
-
-    @Override
-    public PCollection<KV<String, List<CompletionCandidate>>> apply(
-        PCollection<CompletionCandidate> input) {
-      return input
-        // For each completion candidate, map it to all prefixes.
-        .apply(ParDo.of(new AllPrefixes(minPrefix)))
-
-        // Find and return the top candiates for each prefix.
-        .apply(Top.<String, CompletionCandidate>largestPerKey(candidatesPerPrefix)
-               .withHotKeyFanout(new HotKeyFanout()));
-    }
-
-    private static class HotKeyFanout implements SerializableFunction<String, Integer> {
-      @Override
-      public Integer apply(String input) {
-        return (int) Math.pow(4, 5 - input.length());
-      }
-    }
-  }
-
-  /**
-   * Cheaper but higher latency.
-   *
-   * <p>Returns two PCollections, the first is top prefixes of size greater
-   * than minPrefix, and the second is top prefixes of size exactly
-   * minPrefix.
-   */
-  private static class ComputeTopRecursive
-      extends PTransform<PCollection<CompletionCandidate>,
-                         PCollectionList<KV<String, List<CompletionCandidate>>>> {
-    private final int candidatesPerPrefix;
-    private final int minPrefix;
-
-    public ComputeTopRecursive(int candidatesPerPrefix, int minPrefix) {
-      this.candidatesPerPrefix = candidatesPerPrefix;
-      this.minPrefix = minPrefix;
-    }
-
-    private class KeySizePartitionFn implements PartitionFn<KV<String, List<CompletionCandidate>>> {
-      @Override
-      public int partitionFor(KV<String, List<CompletionCandidate>> elem, int numPartitions) {
-        return elem.getKey().length() > minPrefix ? 0 : 1;
-      }
-    }
-
-    private static class FlattenTops
-        extends DoFn<KV<String, List<CompletionCandidate>>, CompletionCandidate> {
-      @Override
-      public void processElement(ProcessContext c) {
-        for (CompletionCandidate cc : c.element().getValue()) {
-          c.output(cc);
-        }
-      }
-    }
-
-    @Override
-    public PCollectionList<KV<String, List<CompletionCandidate>>> apply(
-          PCollection<CompletionCandidate> input) {
-        if (minPrefix > 10) {
-          // Base case, partitioning to return the output in the expected format.
-          return input
-            .apply(new ComputeTopFlat(candidatesPerPrefix, minPrefix))
-            .apply(Partition.of(2, new KeySizePartitionFn()));
-        } else {
-          // If a candidate is in the top N for prefix a...b, it must also be in the top
-          // N for a...bX for every X, which is typlically a much smaller set to consider.
-          // First, compute the top candidate for prefixes of size at least minPrefix + 1.
-          PCollectionList<KV<String, List<CompletionCandidate>>> larger = input
-            .apply(new ComputeTopRecursive(candidatesPerPrefix, minPrefix + 1));
-          // Consider the top candidates for each prefix of length minPrefix + 1...
-          PCollection<KV<String, List<CompletionCandidate>>> small =
-            PCollectionList
-            .of(larger.get(1).apply(ParDo.of(new FlattenTops())))
-            // ...together with those (previously excluded) candidates of length
-            // exactly minPrefix...
-            .and(input.apply(Filter.byPredicate(
-                new SerializableFunction<CompletionCandidate, Boolean>() {
-                  @Override
-                  public Boolean apply(CompletionCandidate c) {
-                    return c.getValue().length() == minPrefix;
-                  }
-                })))
-            .apply("FlattenSmall", Flatten.<CompletionCandidate>pCollections())
-            // ...set the key to be the minPrefix-length prefix...
-            .apply(ParDo.of(new AllPrefixes(minPrefix, minPrefix)))
-            // ...and (re)apply the Top operator to all of them together.
-            .apply(Top.<String, CompletionCandidate>largestPerKey(candidatesPerPrefix));
-
-          PCollection<KV<String, List<CompletionCandidate>>> flattenLarger = larger
-              .apply("FlattenLarge", Flatten.<KV<String, List<CompletionCandidate>>>pCollections());
-
-          return PCollectionList.of(flattenLarger).and(small);
-        }
-    }
-  }
-
-  /**
-   * A DoFn that keys each candidate by all its prefixes.
-   */
-  private static class AllPrefixes
-      extends DoFn<CompletionCandidate, KV<String, CompletionCandidate>> {
-    private final int minPrefix;
-    private final int maxPrefix;
-    public AllPrefixes(int minPrefix) {
-      this(minPrefix, Integer.MAX_VALUE);
-    }
-    public AllPrefixes(int minPrefix, int maxPrefix) {
-      this.minPrefix = minPrefix;
-      this.maxPrefix = maxPrefix;
-    }
-    @Override
-      public void processElement(ProcessContext c) {
-      String word = c.element().value;
-      for (int i = minPrefix; i <= Math.min(word.length(), maxPrefix); i++) {
-        c.output(KV.of(word.substring(0, i), c.element()));
-      }
-    }
-  }
-
-  /**
-   * Class used to store tag-count pairs.
-   */
-  @DefaultCoder(AvroCoder.class)
-  static class CompletionCandidate implements Comparable<CompletionCandidate> {
-    private long count;
-    private String value;
-
-    public CompletionCandidate(String value, long count) {
-      this.value = value;
-      this.count = count;
-    }
-
-    public long getCount() {
-      return count;
-    }
-
-    public String getValue() {
-      return value;
-    }
-
-    // Empty constructor required for Avro decoding.
-    public CompletionCandidate() {}
-
-    @Override
-    public int compareTo(CompletionCandidate o) {
-      if (this.count < o.count) {
-        return -1;
-      } else if (this.count == o.count) {
-        return this.value.compareTo(o.value);
-      } else {
-        return 1;
-      }
-    }
-
-    @Override
-    public boolean equals(Object other) {
-      if (other instanceof CompletionCandidate) {
-        CompletionCandidate that = (CompletionCandidate) other;
-        return this.count == that.count && this.value.equals(that.value);
-      } else {
-        return false;
-      }
-    }
-
-    @Override
-    public int hashCode() {
-      return Long.valueOf(count).hashCode() ^ value.hashCode();
-    }
-
-    @Override
-    public String toString() {
-      return "CompletionCandidate[" + value + ", " + count + "]";
-    }
-  }
-
-  /**
-   * Takes as input a set of strings, and emits each #hashtag found therein.
-   */
-  static class ExtractHashtags extends DoFn<String, String> {
-    @Override
-    public void processElement(ProcessContext c) {
-      Matcher m = Pattern.compile("#\\S+").matcher(c.element());
-      while (m.find()) {
-        c.output(m.group().substring(1));
-      }
-    }
-  }
-
-  static class FormatForBigquery extends DoFn<KV<String, List<CompletionCandidate>>, TableRow> {
-    @Override
-    public void processElement(ProcessContext c) {
-      List<TableRow> completions = new ArrayList<>();
-      for (CompletionCandidate cc : c.element().getValue()) {
-        completions.add(new TableRow()
-          .set("count", cc.getCount())
-          .set("tag", cc.getValue()));
-      }
-      TableRow row = new TableRow()
-        .set("prefix", c.element().getKey())
-        .set("tags", completions);
-      c.output(row);
-    }
-
-    /**
-     * Defines the BigQuery schema used for the output.
-     */
-    static TableSchema getSchema() {
-      List<TableFieldSchema> tagFields = new ArrayList<>();
-      tagFields.add(new TableFieldSchema().setName("count").setType("INTEGER"));
-      tagFields.add(new TableFieldSchema().setName("tag").setType("STRING"));
-      List<TableFieldSchema> fields = new ArrayList<>();
-      fields.add(new TableFieldSchema().setName("prefix").setType("STRING"));
-      fields.add(new TableFieldSchema()
-          .setName("tags").setType("RECORD").setMode("REPEATED").setFields(tagFields));
-      return new TableSchema().setFields(fields);
-    }
-  }
-
-  /**
-   * Takes as input a the top candidates per prefix, and emits an entity
-   * suitable for writing to Datastore.
-   */
-  static class FormatForDatastore extends DoFn<KV<String, List<CompletionCandidate>>, Entity> {
-    private String kind;
-
-    public FormatForDatastore(String kind) {
-      this.kind = kind;
-    }
-
-    @Override
-    public void processElement(ProcessContext c) {
-      Entity.Builder entityBuilder = Entity.newBuilder();
-      Key key = DatastoreHelper.makeKey(kind, c.element().getKey()).build();
-
-      entityBuilder.setKey(key);
-      List<Value> candidates = new ArrayList<>();
-      for (CompletionCandidate tag : c.element().getValue()) {
-        Entity.Builder tagEntity = Entity.newBuilder();
-        tagEntity.addProperty(
-            DatastoreHelper.makeProperty("tag", DatastoreHelper.makeValue(tag.value)));
-        tagEntity.addProperty(
-            DatastoreHelper.makeProperty("count", DatastoreHelper.makeValue(tag.count)));
-        candidates.add(DatastoreHelper.makeValue(tagEntity).setIndexed(false).build());
-      }
-      entityBuilder.addProperty(
-          DatastoreHelper.makeProperty("candidates", DatastoreHelper.makeValue(candidates)));
-      c.output(entityBuilder.build());
-    }
-  }
-
-  /**
-   * Options supported by this class.
-   *
-   * <p>Inherits standard Dataflow configuration options.
-   */
-  private static interface Options extends ExamplePubsubTopicOptions, ExampleBigQueryTableOptions {
-    @Description("Input text file")
-    String getInputFile();
-    void setInputFile(String value);
-
-    @Description("Whether to use the recursive algorithm")
-    @Default.Boolean(true)
-    Boolean getRecursive();
-    void setRecursive(Boolean value);
-
-    @Description("Dataset entity kind")
-    @Default.String("autocomplete-demo")
-    String getKind();
-    void setKind(String value);
-
-    @Description("Whether output to BigQuery")
-    @Default.Boolean(true)
-    Boolean getOutputToBigQuery();
-    void setOutputToBigQuery(Boolean value);
-
-    @Description("Whether output to Datastore")
-    @Default.Boolean(false)
-    Boolean getOutputToDatastore();
-    void setOutputToDatastore(Boolean value);
-
-    @Description("Datastore output dataset ID, defaults to project ID")
-    String getOutputDataset();
-    void setOutputDataset(String value);
-  }
-
-  public static void main(String[] args) throws IOException {
-    Options options = PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
-
-    if (options.isStreaming()) {
-      // In order to cancel the pipelines automatically,
-      // {@literal DataflowPipelineRunner} is forced to be used.
-      options.setRunner(DataflowPipelineRunner.class);
-    }
-
-    options.setBigQuerySchema(FormatForBigquery.getSchema());
-    DataflowExampleUtils dataflowUtils = new DataflowExampleUtils(options);
-
-    // We support running the same pipeline in either
-    // batch or windowed streaming mode.
-    PTransform<? super PBegin, PCollection<String>> readSource;
-    WindowFn<Object, ?> windowFn;
-    if (options.isStreaming()) {
-      Preconditions.checkArgument(
-          !options.getOutputToDatastore(), "DatastoreIO is not supported in streaming.");
-      dataflowUtils.setupPubsub();
-
-      readSource = PubsubIO.Read.topic(options.getPubsubTopic());
-      windowFn = SlidingWindows.of(Duration.standardMinutes(30)).every(Duration.standardSeconds(5));
-    } else {
-      readSource = TextIO.Read.from(options.getInputFile());
-      windowFn = new GlobalWindows();
-    }
-
-    // Create the pipeline.
-    Pipeline p = Pipeline.create(options);
-    PCollection<KV<String, List<CompletionCandidate>>> toWrite = p
-      .apply(readSource)
-      .apply(ParDo.of(new ExtractHashtags()))
-      .apply(Window.<String>into(windowFn))
-      .apply(ComputeTopCompletions.top(10, options.getRecursive()));
-
-    if (options.getOutputToDatastore()) {
-      toWrite
-      .apply(ParDo.named("FormatForDatastore").of(new FormatForDatastore(options.getKind())))
-      .apply(DatastoreIO.writeTo(MoreObjects.firstNonNull(
-          options.getOutputDataset(), options.getProject())));
-    }
-    if (options.getOutputToBigQuery()) {
-      dataflowUtils.setupBigQueryTable();
-
-      TableReference tableRef = new TableReference();
-      tableRef.setProjectId(options.getProject());
-      tableRef.setDatasetId(options.getBigQueryDataset());
-      tableRef.setTableId(options.getBigQueryTable());
-
-      toWrite
-        .apply(ParDo.of(new FormatForBigquery()))
-        .apply(BigQueryIO.Write
-               .to(tableRef)
-               .withSchema(FormatForBigquery.getSchema())
-               .withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED)
-               .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_TRUNCATE));
-    }
-
-    // Run the pipeline.
-    PipelineResult result = p.run();
-
-    if (options.isStreaming() && !options.getInputFile().isEmpty()) {
-      // Inject the data into the Pub/Sub topic with a Dataflow batch pipeline.
-      dataflowUtils.runInjectorPipeline(options.getInputFile(), options.getPubsubTopic());
-    }
-
-    // dataflowUtils will try to cancel the pipeline and the injector before the program exists.
-    dataflowUtils.waitToFinish(result);
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/README.md
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/README.md b/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/README.md
deleted file mode 100644
index 5fba154..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/README.md
+++ /dev/null
@@ -1,44 +0,0 @@
-
-# "Complete" Examples
-
-This directory contains end-to-end example pipelines that perform complex data processing tasks. They include:
-
-<ul>
-  <li><a href="https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/examples/src/main/java/com/google/cloud/dataflow/examples/complete/AutoComplete.java">AutoComplete</a>
-  &mdash; An example that computes the most popular hash tags for every
-  prefix, which can be used for auto-completion. Demonstrates how to use the
-  same pipeline in both streaming and batch, combiners, and composite
-  transforms.</li>
-  <li><a href="https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/examples/src/main/java/com/google/cloud/dataflow/examples/complete/StreamingWordExtract.java">StreamingWordExtract</a>
-  &mdash; A streaming pipeline example that inputs lines of text from a Cloud
-  Pub/Sub topic, splits each line into individual words, capitalizes those
-  words, and writes the output to a BigQuery table.
-  </li>
-  <li><a href="https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/examples/src/main/java/com/google/cloud/dataflow/examples/complete/TfIdf.java">TfIdf</a>
-  &mdash; An example that computes a basic TF-IDF search table for a directory or
-  Cloud Storage prefix. Demonstrates joining data, side inputs, and logging.
-  </li>
-  <li><a href="https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/examples/src/main/java/com/google/cloud/dataflow/examples/complete/TopWikipediaSessions.java">TopWikipediaSessions</a>
-  &mdash; An example that reads Wikipedia edit data from Cloud Storage and
-  computes the user with the longest string of edits separated by no more than
-  an hour within each month. Demonstrates using Cloud Dataflow
-  <code>Windowing</code> to perform time-based aggregations of data.
-  </li>
-  <li><a href="https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/examples/src/main/java/com/google/cloud/dataflow/examples/complete/TrafficMaxLaneFlow.java">TrafficMaxLaneFlow</a>
-  &mdash; A streaming Cloud Dataflow example using BigQuery output in the
-  <code>traffic sensor</code> domain. Demonstrates the Cloud Dataflow streaming
-  runner, sliding windows, Cloud Pub/Sub topic ingestion, the use of the
-  <code>AvroCoder</code> to encode a custom class, and custom
-  <code>Combine</code> transforms.
-  </li>
-  <li><a href="https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/examples/src/main/java/com/google/cloud/dataflow/examples/complete/TrafficRoutes.java">TrafficRoutes</a>
-  &mdash; A streaming Cloud Dataflow example using BigQuery output in the
-  <code>traffic sensor</code> domain. Demonstrates the Cloud Dataflow streaming
-  runner, <code>GroupByKey</code>, keyed state, sliding windows, and Cloud
-  Pub/Sub topic ingestion.
-  </li>
-  </ul>
-
-See the [documentation](https://cloud.google.com/dataflow/getting-started) and the [Examples
-README](../../../../../../../../../README.md) for
-information about how to run these examples.

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/StreamingWordExtract.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/StreamingWordExtract.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/StreamingWordExtract.java
deleted file mode 100644
index c61873c..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/StreamingWordExtract.java
+++ /dev/null
@@ -1,164 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.complete;
-
-import com.google.api.services.bigquery.model.TableFieldSchema;
-import com.google.api.services.bigquery.model.TableRow;
-import com.google.api.services.bigquery.model.TableSchema;
-import com.google.cloud.dataflow.examples.common.DataflowExampleUtils;
-import com.google.cloud.dataflow.examples.common.ExampleBigQueryTableOptions;
-import com.google.cloud.dataflow.examples.common.ExamplePubsubTopicOptions;
-import com.google.cloud.dataflow.sdk.Pipeline;
-import com.google.cloud.dataflow.sdk.PipelineResult;
-import com.google.cloud.dataflow.sdk.io.BigQueryIO;
-import com.google.cloud.dataflow.sdk.io.PubsubIO;
-import com.google.cloud.dataflow.sdk.options.Default;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory;
-import com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner;
-import com.google.cloud.dataflow.sdk.transforms.DoFn;
-import com.google.cloud.dataflow.sdk.transforms.ParDo;
-
-import java.io.IOException;
-import java.util.ArrayList;
-
-/**
- * A streaming Dataflow Example using BigQuery output.
- *
- * <p>This pipeline example reads lines of text from a PubSub topic, splits each line
- * into individual words, capitalizes those words, and writes the output to
- * a BigQuery table.
- *
- * <p>By default, the example will run a separate pipeline to inject the data from the default
- * {@literal --inputFile} to the Pub/Sub {@literal --pubsubTopic}. It will make it available for
- * the streaming pipeline to process. You may override the default {@literal --inputFile} with the
- * file of your choosing. You may also set {@literal --inputFile} to an empty string, which will
- * disable the automatic Pub/Sub injection, and allow you to use separate tool to control the input
- * to this example.
- *
- * <p>The example is configured to use the default Pub/Sub topic and the default BigQuery table
- * from the example common package (there are no defaults for a general Dataflow pipeline).
- * You can override them by using the {@literal --pubsubTopic}, {@literal --bigQueryDataset}, and
- * {@literal --bigQueryTable} options. If the Pub/Sub topic or the BigQuery table do not exist,
- * the example will try to create them.
- *
- * <p>The example will try to cancel the pipelines on the signal to terminate the process (CTRL-C)
- * and then exits.
- */
-public class StreamingWordExtract {
-
-  /** A DoFn that tokenizes lines of text into individual words. */
-  static class ExtractWords extends DoFn<String, String> {
-    @Override
-    public void processElement(ProcessContext c) {
-      String[] words = c.element().split("[^a-zA-Z']+");
-      for (String word : words) {
-        if (!word.isEmpty()) {
-          c.output(word);
-        }
-      }
-    }
-  }
-
-  /** A DoFn that uppercases a word. */
-  static class Uppercase extends DoFn<String, String> {
-    @Override
-    public void processElement(ProcessContext c) {
-      c.output(c.element().toUpperCase());
-    }
-  }
-
-  /**
-   * Converts strings into BigQuery rows.
-   */
-  static class StringToRowConverter extends DoFn<String, TableRow> {
-    /**
-     * In this example, put the whole string into single BigQuery field.
-     */
-    @Override
-    public void processElement(ProcessContext c) {
-      c.output(new TableRow().set("string_field", c.element()));
-    }
-
-    static TableSchema getSchema() {
-      return new TableSchema().setFields(new ArrayList<TableFieldSchema>() {
-            // Compose the list of TableFieldSchema from tableSchema.
-            {
-              add(new TableFieldSchema().setName("string_field").setType("STRING"));
-            }
-      });
-    }
-  }
-
-  /**
-   * Options supported by {@link StreamingWordExtract}.
-   *
-   * <p>Inherits standard configuration options.
-   */
-  private interface StreamingWordExtractOptions
-      extends ExamplePubsubTopicOptions, ExampleBigQueryTableOptions {
-    @Description("Input file to inject to Pub/Sub topic")
-    @Default.String("gs://dataflow-samples/shakespeare/kinglear.txt")
-    String getInputFile();
-    void setInputFile(String value);
-  }
-
-  /**
-   * Sets up and starts streaming pipeline.
-   *
-   * @throws IOException if there is a problem setting up resources
-   */
-  public static void main(String[] args) throws IOException {
-    StreamingWordExtractOptions options = PipelineOptionsFactory.fromArgs(args)
-        .withValidation()
-        .as(StreamingWordExtractOptions.class);
-    options.setStreaming(true);
-    // In order to cancel the pipelines automatically,
-    // {@literal DataflowPipelineRunner} is forced to be used.
-    options.setRunner(DataflowPipelineRunner.class);
-
-    options.setBigQuerySchema(StringToRowConverter.getSchema());
-    DataflowExampleUtils dataflowUtils = new DataflowExampleUtils(options);
-    dataflowUtils.setup();
-
-    Pipeline pipeline = Pipeline.create(options);
-
-    String tableSpec = new StringBuilder()
-        .append(options.getProject()).append(":")
-        .append(options.getBigQueryDataset()).append(".")
-        .append(options.getBigQueryTable())
-        .toString();
-    pipeline
-        .apply(PubsubIO.Read.topic(options.getPubsubTopic()))
-        .apply(ParDo.of(new ExtractWords()))
-        .apply(ParDo.of(new Uppercase()))
-        .apply(ParDo.of(new StringToRowConverter()))
-        .apply(BigQueryIO.Write.to(tableSpec)
-            .withSchema(StringToRowConverter.getSchema()));
-
-    PipelineResult result = pipeline.run();
-
-    if (!options.getInputFile().isEmpty()) {
-      // Inject the data into the Pub/Sub topic with a Dataflow batch pipeline.
-      dataflowUtils.runInjectorPipeline(options.getInputFile(), options.getPubsubTopic());
-    }
-
-    // dataflowUtils will try to cancel the pipeline and the injector before the program exists.
-    dataflowUtils.waitToFinish(result);
-  }
-}

http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/0393a791/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/TfIdf.java
----------------------------------------------------------------------
diff --git a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/TfIdf.java b/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/TfIdf.java
deleted file mode 100644
index 79ce823..0000000
--- a/examples/java/src/main/java/com/google/cloud/dataflow/examples/complete/TfIdf.java
+++ /dev/null
@@ -1,432 +0,0 @@
-/*
- * 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 com.google.cloud.dataflow.examples.complete;
-
-import com.google.cloud.dataflow.sdk.Pipeline;
-import com.google.cloud.dataflow.sdk.coders.Coder;
-import com.google.cloud.dataflow.sdk.coders.KvCoder;
-import com.google.cloud.dataflow.sdk.coders.StringDelegateCoder;
-import com.google.cloud.dataflow.sdk.coders.StringUtf8Coder;
-import com.google.cloud.dataflow.sdk.io.TextIO;
-import com.google.cloud.dataflow.sdk.options.Default;
-import com.google.cloud.dataflow.sdk.options.Description;
-import com.google.cloud.dataflow.sdk.options.GcsOptions;
-import com.google.cloud.dataflow.sdk.options.PipelineOptions;
-import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory;
-import com.google.cloud.dataflow.sdk.options.Validation;
-import com.google.cloud.dataflow.sdk.transforms.Count;
-import com.google.cloud.dataflow.sdk.transforms.DoFn;
-import com.google.cloud.dataflow.sdk.transforms.Flatten;
-import com.google.cloud.dataflow.sdk.transforms.Keys;
-import com.google.cloud.dataflow.sdk.transforms.PTransform;
-import com.google.cloud.dataflow.sdk.transforms.ParDo;
-import com.google.cloud.dataflow.sdk.transforms.RemoveDuplicates;
-import com.google.cloud.dataflow.sdk.transforms.Values;
-import com.google.cloud.dataflow.sdk.transforms.View;
-import com.google.cloud.dataflow.sdk.transforms.WithKeys;
-import com.google.cloud.dataflow.sdk.transforms.join.CoGbkResult;
-import com.google.cloud.dataflow.sdk.transforms.join.CoGroupByKey;
-import com.google.cloud.dataflow.sdk.transforms.join.KeyedPCollectionTuple;
-import com.google.cloud.dataflow.sdk.util.GcsUtil;
-import com.google.cloud.dataflow.sdk.util.gcsfs.GcsPath;
-import com.google.cloud.dataflow.sdk.values.KV;
-import com.google.cloud.dataflow.sdk.values.PCollection;
-import com.google.cloud.dataflow.sdk.values.PCollectionList;
-import com.google.cloud.dataflow.sdk.values.PCollectionView;
-import com.google.cloud.dataflow.sdk.values.PDone;
-import com.google.cloud.dataflow.sdk.values.PInput;
-import com.google.cloud.dataflow.sdk.values.TupleTag;
-
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.File;
-import java.io.IOException;
-import java.net.URI;
-import java.net.URISyntaxException;
-import java.util.HashSet;
-import java.util.Set;
-
-/**
- * An example that computes a basic TF-IDF search table for a directory or GCS prefix.
- *
- * <p>Concepts: joining data; side inputs; logging
- *
- * <p>To execute this pipeline locally, specify general pipeline configuration:
- * <pre>{@code
- *   --project=YOUR_PROJECT_ID
- * }</pre>
- * and a local output file or output prefix on GCS:
- * <pre>{@code
- *   --output=[YOUR_LOCAL_FILE | gs://YOUR_OUTPUT_PREFIX]
- * }</pre>
- *
- * <p>To execute this pipeline using the Dataflow service, specify pipeline configuration:
- * <pre>{@code
- *   --project=YOUR_PROJECT_ID
- *   --stagingLocation=gs://YOUR_STAGING_DIRECTORY
- *   --runner=BlockingDataflowPipelineRunner
- * and an output prefix on GCS:
- *   --output=gs://YOUR_OUTPUT_PREFIX
- * }</pre>
- *
- * <p>The default input is {@code gs://dataflow-samples/shakespeare/} and can be overridden with
- * {@code --input}.
- */
-public class TfIdf {
-  /**
-   * Options supported by {@link TfIdf}.
-   *
-   * <p>Inherits standard configuration options.
-   */
-  private static interface Options extends PipelineOptions {
-    @Description("Path to the directory or GCS prefix containing files to read from")
-    @Default.String("gs://dataflow-samples/shakespeare/")
-    String getInput();
-    void setInput(String value);
-
-    @Description("Prefix of output URI to write to")
-    @Validation.Required
-    String getOutput();
-    void setOutput(String value);
-  }
-
-  /**
-   * Lists documents contained beneath the {@code options.input} prefix/directory.
-   */
-  public static Set<URI> listInputDocuments(Options options)
-      throws URISyntaxException, IOException {
-    URI baseUri = new URI(options.getInput());
-
-    // List all documents in the directory or GCS prefix.
-    URI absoluteUri;
-    if (baseUri.getScheme() != null) {
-      absoluteUri = baseUri;
-    } else {
-      absoluteUri = new URI(
-          "file",
-          baseUri.getAuthority(),
-          baseUri.getPath(),
-          baseUri.getQuery(),
-          baseUri.getFragment());
-    }
-
-    Set<URI> uris = new HashSet<>();
-    if (absoluteUri.getScheme().equals("file")) {
-      File directory = new File(absoluteUri);
-      for (String entry : directory.list()) {
-        File path = new File(directory, entry);
-        uris.add(path.toURI());
-      }
-    } else if (absoluteUri.getScheme().equals("gs")) {
-      GcsUtil gcsUtil = options.as(GcsOptions.class).getGcsUtil();
-      URI gcsUriGlob = new URI(
-          absoluteUri.getScheme(),
-          absoluteUri.getAuthority(),
-          absoluteUri.getPath() + "*",
-          absoluteUri.getQuery(),
-          absoluteUri.getFragment());
-      for (GcsPath entry : gcsUtil.expand(GcsPath.fromUri(gcsUriGlob))) {
-        uris.add(entry.toUri());
-      }
-    }
-
-    return uris;
-  }
-
-  /**
-   * Reads the documents at the provided uris and returns all lines
-   * from the documents tagged with which document they are from.
-   */
-  public static class ReadDocuments
-      extends PTransform<PInput, PCollection<KV<URI, String>>> {
-    private Iterable<URI> uris;
-
-    public ReadDocuments(Iterable<URI> uris) {
-      this.uris = uris;
-    }
-
-    @Override
-    public Coder<?> getDefaultOutputCoder() {
-      return KvCoder.of(StringDelegateCoder.of(URI.class), StringUtf8Coder.of());
-    }
-
-    @Override
-    public PCollection<KV<URI, String>> apply(PInput input) {
-      Pipeline pipeline = input.getPipeline();
-
-      // Create one TextIO.Read transform for each document
-      // and add its output to a PCollectionList
-      PCollectionList<KV<URI, String>> urisToLines =
-          PCollectionList.empty(pipeline);
-
-      // TextIO.Read supports:
-      //  - file: URIs and paths locally
-      //  - gs: URIs on the service
-      for (final URI uri : uris) {
-        String uriString;
-        if (uri.getScheme().equals("file")) {
-          uriString = new File(uri).getPath();
-        } else {
-          uriString = uri.toString();
-        }
-
-        PCollection<KV<URI, String>> oneUriToLines = pipeline
-            .apply(TextIO.Read.from(uriString)
-                .named("TextIO.Read(" + uriString + ")"))
-            .apply("WithKeys(" + uriString + ")", WithKeys.<URI, String>of(uri));
-
-        urisToLines = urisToLines.and(oneUriToLines);
-      }
-
-      return urisToLines.apply(Flatten.<KV<URI, String>>pCollections());
-    }
-  }
-
-  /**
-   * A transform containing a basic TF-IDF pipeline. The input consists of KV objects
-   * where the key is the document's URI and the value is a piece
-   * of the document's content. The output is mapping from terms to
-   * scores for each document URI.
-   */
-  public static class ComputeTfIdf
-      extends PTransform<PCollection<KV<URI, String>>, PCollection<KV<String, KV<URI, Double>>>> {
-    public ComputeTfIdf() { }
-
-    @Override
-    public PCollection<KV<String, KV<URI, Double>>> apply(
-      PCollection<KV<URI, String>> uriToContent) {
-
-      // Compute the total number of documents, and
-      // prepare this singleton PCollectionView for
-      // use as a side input.
-      final PCollectionView<Long> totalDocuments =
-          uriToContent
-          .apply("GetURIs", Keys.<URI>create())
-          .apply("RemoveDuplicateDocs", RemoveDuplicates.<URI>create())
-          .apply(Count.<URI>globally())
-          .apply(View.<Long>asSingleton());
-
-      // Create a collection of pairs mapping a URI to each
-      // of the words in the document associated with that that URI.
-      PCollection<KV<URI, String>> uriToWords = uriToContent
-          .apply(ParDo.named("SplitWords").of(
-              new DoFn<KV<URI, String>, KV<URI, String>>() {
-                @Override
-                public void processElement(ProcessContext c) {
-                  URI uri = c.element().getKey();
-                  String line = c.element().getValue();
-                  for (String word : line.split("\\W+")) {
-                    // Log INFO messages when the word “love” is found.
-                    if (word.toLowerCase().equals("love")) {
-                      LOG.info("Found {}", word.toLowerCase());
-                    }
-
-                    if (!word.isEmpty()) {
-                      c.output(KV.of(uri, word.toLowerCase()));
-                    }
-                  }
-                }
-              }));
-
-      // Compute a mapping from each word to the total
-      // number of documents in which it appears.
-      PCollection<KV<String, Long>> wordToDocCount = uriToWords
-          .apply("RemoveDuplicateWords", RemoveDuplicates.<KV<URI, String>>create())
-          .apply(Values.<String>create())
-          .apply("CountDocs", Count.<String>perElement());
-
-      // Compute a mapping from each URI to the total
-      // number of words in the document associated with that URI.
-      PCollection<KV<URI, Long>> uriToWordTotal = uriToWords
-          .apply("GetURIs2", Keys.<URI>create())
-          .apply("CountWords", Count.<URI>perElement());
-
-      // Count, for each (URI, word) pair, the number of
-      // occurrences of that word in the document associated
-      // with the URI.
-      PCollection<KV<KV<URI, String>, Long>> uriAndWordToCount = uriToWords
-          .apply("CountWordDocPairs", Count.<KV<URI, String>>perElement());
-
-      // Adjust the above collection to a mapping from
-      // (URI, word) pairs to counts into an isomorphic mapping
-      // from URI to (word, count) pairs, to prepare for a join
-      // by the URI key.
-      PCollection<KV<URI, KV<String, Long>>> uriToWordAndCount = uriAndWordToCount
-          .apply(ParDo.named("ShiftKeys").of(
-              new DoFn<KV<KV<URI, String>, Long>, KV<URI, KV<String, Long>>>() {
-                @Override
-                public void processElement(ProcessContext c) {
-                  URI uri = c.element().getKey().getKey();
-                  String word = c.element().getKey().getValue();
-                  Long occurrences = c.element().getValue();
-                  c.output(KV.of(uri, KV.of(word, occurrences)));
-                }
-              }));
-
-      // Prepare to join the mapping of URI to (word, count) pairs with
-      // the mapping of URI to total word counts, by associating
-      // each of the input PCollection<KV<URI, ...>> with
-      // a tuple tag. Each input must have the same key type, URI
-      // in this case. The type parameter of the tuple tag matches
-      // the types of the values for each collection.
-      final TupleTag<Long> wordTotalsTag = new TupleTag<Long>();
-      final TupleTag<KV<String, Long>> wordCountsTag = new TupleTag<KV<String, Long>>();
-      KeyedPCollectionTuple<URI> coGbkInput = KeyedPCollectionTuple
-          .of(wordTotalsTag, uriToWordTotal)
-          .and(wordCountsTag, uriToWordAndCount);
-
-      // Perform a CoGroupByKey (a sort of pre-join) on the prepared
-      // inputs. This yields a mapping from URI to a CoGbkResult
-      // (CoGroupByKey Result). The CoGbkResult is a mapping
-      // from the above tuple tags to the values in each input
-      // associated with a particular URI. In this case, each
-      // KV<URI, CoGbkResult> group a URI with the total number of
-      // words in that document as well as all the (word, count)
-      // pairs for particular words.
-      PCollection<KV<URI, CoGbkResult>> uriToWordAndCountAndTotal = coGbkInput
-          .apply("CoGroupByUri", CoGroupByKey.<URI>create());
-
-      // Compute a mapping from each word to a (URI, term frequency)
-      // pair for each URI. A word's term frequency for a document
-      // is simply the number of times that word occurs in the document
-      // divided by the total number of words in the document.
-      PCollection<KV<String, KV<URI, Double>>> wordToUriAndTf = uriToWordAndCountAndTotal
-          .apply(ParDo.named("ComputeTermFrequencies").of(
-              new DoFn<KV<URI, CoGbkResult>, KV<String, KV<URI, Double>>>() {
-                @Override
-                public void processElement(ProcessContext c) {
-                  URI uri = c.element().getKey();
-                  Long wordTotal = c.element().getValue().getOnly(wordTotalsTag);
-
-                  for (KV<String, Long> wordAndCount
-                           : c.element().getValue().getAll(wordCountsTag)) {
-                    String word = wordAndCount.getKey();
-                    Long wordCount = wordAndCount.getValue();
-                    Double termFrequency = wordCount.doubleValue() / wordTotal.doubleValue();
-                    c.output(KV.of(word, KV.of(uri, termFrequency)));
-                  }
-                }
-              }));
-
-      // Compute a mapping from each word to its document frequency.
-      // A word's document frequency in a corpus is the number of
-      // documents in which the word appears divided by the total
-      // number of documents in the corpus. Note how the total number of
-      // documents is passed as a side input; the same value is
-      // presented to each invocation of the DoFn.
-      PCollection<KV<String, Double>> wordToDf = wordToDocCount
-          .apply(ParDo
-              .named("ComputeDocFrequencies")
-              .withSideInputs(totalDocuments)
-              .of(new DoFn<KV<String, Long>, KV<String, Double>>() {
-                @Override
-                public void processElement(ProcessContext c) {
-                  String word = c.element().getKey();
-                  Long documentCount = c.element().getValue();
-                  Long documentTotal = c.sideInput(totalDocuments);
-                  Double documentFrequency = documentCount.doubleValue()
-                      / documentTotal.doubleValue();
-
-                  c.output(KV.of(word, documentFrequency));
-                }
-              }));
-
-      // Join the term frequency and document frequency
-      // collections, each keyed on the word.
-      final TupleTag<KV<URI, Double>> tfTag = new TupleTag<KV<URI, Double>>();
-      final TupleTag<Double> dfTag = new TupleTag<Double>();
-      PCollection<KV<String, CoGbkResult>> wordToUriAndTfAndDf = KeyedPCollectionTuple
-          .of(tfTag, wordToUriAndTf)
-          .and(dfTag, wordToDf)
-          .apply(CoGroupByKey.<String>create());
-
-      // Compute a mapping from each word to a (URI, TF-IDF) score
-      // for each URI. There are a variety of definitions of TF-IDF
-      // ("term frequency - inverse document frequency") score;
-      // here we use a basic version that is the term frequency
-      // divided by the log of the document frequency.
-      PCollection<KV<String, KV<URI, Double>>> wordToUriAndTfIdf = wordToUriAndTfAndDf
-          .apply(ParDo.named("ComputeTfIdf").of(
-              new DoFn<KV<String, CoGbkResult>, KV<String, KV<URI, Double>>>() {
-                @Override
-                public void processElement(ProcessContext c) {
-                  String word = c.element().getKey();
-                  Double df = c.element().getValue().getOnly(dfTag);
-
-                  for (KV<URI, Double> uriAndTf : c.element().getValue().getAll(tfTag)) {
-                    URI uri = uriAndTf.getKey();
-                    Double tf = uriAndTf.getValue();
-                    Double tfIdf = tf * Math.log(1 / df);
-                    c.output(KV.of(word, KV.of(uri, tfIdf)));
-                  }
-                }
-              }));
-
-      return wordToUriAndTfIdf;
-    }
-
-    // Instantiate Logger.
-    // It is suggested that the user specify the class name of the containing class
-    // (in this case ComputeTfIdf).
-    private static final Logger LOG = LoggerFactory.getLogger(ComputeTfIdf.class);
-  }
-
-  /**
-   * A {@link PTransform} to write, in CSV format, a mapping from term and URI
-   * to score.
-   */
-  public static class WriteTfIdf
-      extends PTransform<PCollection<KV<String, KV<URI, Double>>>, PDone> {
-    private String output;
-
-    public WriteTfIdf(String output) {
-      this.output = output;
-    }
-
-    @Override
-    public PDone apply(PCollection<KV<String, KV<URI, Double>>> wordToUriAndTfIdf) {
-      return wordToUriAndTfIdf
-          .apply(ParDo.named("Format").of(new DoFn<KV<String, KV<URI, Double>>, String>() {
-            @Override
-            public void processElement(ProcessContext c) {
-              c.output(String.format("%s,\t%s,\t%f",
-                  c.element().getKey(),
-                  c.element().getValue().getKey(),
-                  c.element().getValue().getValue()));
-            }
-          }))
-          .apply(TextIO.Write
-              .to(output)
-              .withSuffix(".csv"));
-    }
-  }
-
-  public static void main(String[] args) throws Exception {
-    Options options = PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
-    Pipeline pipeline = Pipeline.create(options);
-    pipeline.getCoderRegistry().registerCoder(URI.class, StringDelegateCoder.of(URI.class));
-
-    pipeline
-        .apply(new ReadDocuments(listInputDocuments(options)))
-        .apply(new ComputeTfIdf())
-        .apply(new WriteTfIdf(options.getOutput()));
-
-    pipeline.run();
-  }
-}


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