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David Cavazos
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Update commands to GA (GoogleCloudPlatform#3683)
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‎dataflow/flex-templates/kafka_to_bigquery/Dockerfile‎

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‎dataflow/flex-templates/kafka_to_bigquery/README.md‎

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@@ -223,34 +223,38 @@ gcloud compute instances create-with-container kafka-vm \
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First, let's build the container image.
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```sh
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export TEMPLATE_IMAGE="gcr.io/$PROJECT/samples/dataflow/streaming-beam-sql:latest"
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# Build and package the application as an uber-jar file.
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mvn clean package
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# Build the Dataflow Flex template image into Container Registry.
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gcloud builds submit --tag "$TEMPLATE_IMAGE" .
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```
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Now we can create the template file.
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```sh
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export TEMPLATE_IMAGE="gcr.io/$PROJECT/samples/dataflow/kafka-to-bigquery-sql:latest"
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export TEMPLATE_PATH="gs://$BUCKET/samples/dataflow/templates/kafka-to-bigquery.json"
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# Build the Flex Template.
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gcloud beta dataflow flex-template build $TEMPLATE_PATH \
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--image "$TEMPLATE_IMAGE" \
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--sdk-language "JAVA" \
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--metadata-file "metadata.json"
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gcloud dataflow flex-template build $TEMPLATE_PATH \
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--image-gcr-path "$TEMPLATE_IMAGE" \
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--sdk-language "JAVA" \
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--flex-template-base-image JAVA11 \
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--metadata-file "metadata.json" \
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--jar "target/kafka-to-bigquery-1.0.jar" \
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--env FLEX_TEMPLATE_JAVA_MAIN_CLASS="org.apache.beam.samples.KafkaToBigQuery"
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```
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Finally, to run a Dataflow job using the template.
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```sh
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export REGION="us-central1"
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# Run the Flex Template.
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gcloud beta dataflow flex-template run "kafka-to-bigquery-`date +%Y%m%d-%H%M%S`" \
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--template-file-gcs-location "$TEMPLATE_PATH" \
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--parameters "inputTopic=messages,outputTable=$PROJECT:$DATASET.$TABLE,bootstrapServer=$KAFKA_ADDRESS:9092"
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gcloud dataflow flex-template run "kafka-to-bigquery-`date +%Y%m%d-%H%M%S`" \
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--template-file-gcs-location "$TEMPLATE_PATH" \
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--parameters inputTopic="messages" \
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--parameters outputTable="$PROJECT:$DATASET.$TABLE" \
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--parameters bootstrapServer="$KAFKA_ADDRESS:9092" \
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--region "$REGION"
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```
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Run the following query to check the results in BigQuery.

‎dataflow/flex-templates/streaming_beam_sql/Dockerfile‎

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‎dataflow/flex-templates/streaming_beam_sql/README.md‎

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@@ -105,7 +105,7 @@ to transform the message data, and writes the results to a
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* [pom.xml](pom.xml)
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* [metadata.json](metadata.json)
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### Building a container image
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### Build the Flex Template
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> <details><summary>
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> <i>(Optional)</i> Run the Apache Beam pipeline locally for development.
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You can run this file as a standalone application with no external
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dependencies on other libraries.
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Now, we build the
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[Docker](https://docs.docker.com/engine/docker-overview/)
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image for the Apache Beam pipeline.
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We are using
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[Cloud Build](https://cloud.google.com/cloud-build)
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so we don't need a local installation of Docker.
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> ℹ️ You can speed up subsequent builds with
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> [Kaniko cache](https://cloud.google.com/cloud-build/docs/kaniko-cache)
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> in Cloud Build.
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>
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> ```sh
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> # (Optional) Enable to use Kaniko cache by default.
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> gcloud config set builds/use_kaniko True
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> ```
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Cloud Build allows you to
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[build a Docker image using a `Dockerfile`](https://cloud.google.com/cloud-build/docs/quickstart-docker#build_using_dockerfile).
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and saves it into
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[Container Registry](https://cloud.google.com/container-registry/),
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where the image is accessible to other Google Cloud products.
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```sh
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export TEMPLATE_IMAGE="gcr.io/$PROJECT/samples/dataflow/streaming-beam-sql:latest"
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# Build the image into Container Registry, this is roughly equivalent to:
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# gcloud auth configure-docker
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# docker image build -t $TEMPLATE_IMAGE .
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# docker push $TEMPLATE_IMAGE
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gcloud builds submit --tag "$TEMPLATE_IMAGE" .
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```
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> ℹ️ We use the [`.gcloudignore`](.gcloudignore) file to ignore large
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> files not used for the container image, such as build files.
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> This helps speed up the build by uploading less data.
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>
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> To learn more about `.gcloudignore`, see
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> [`gcloud topic gcloudignore`](https://cloud.google.com/sdk/gcloud/reference/topic/gcloudignore)
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Images starting with `gcr.io/PROJECT/` are saved into your project's
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Container Registry, where the image is accessible to other Google Cloud products.
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### Creating a Flex Template
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To run a template, you need to create a *template spec* file containing all the
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necessary information to run the job, such as the SDK information and metadata.
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The [`metadata.json`](metadata.json) file contains additional information for
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the template such as the "name", "description", and input "parameters" field.
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the template such as the `name`, `description`, and input `parameters` field.
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We used
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[regular expressions](https://docs.microsoft.com/en-us/dotnet/standard/base-types/regular-expression-language-quick-reference)
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The template file must be created in a Cloud Storage location,
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and is used to run a new Dataflow job.
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A container image is created, which includes a self-contained application of your pipeline.
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Images starting with `gcr.io/PROJECT/` are saved into your project's
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Container Registry, where the image is accessible to other Google Cloud products.
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```sh
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export TEMPLATE_PATH="gs://$BUCKET/samples/dataflow/templates/streaming-beam-sql.json"
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export TEMPLATE_IMAGE="gcr.io/$PROJECT/samples/dataflow/streaming-beam-sql:latest"
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# Build the Flex Template.
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gcloud beta dataflow flex-template build $TEMPLATE_PATH \
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--image "$TEMPLATE_IMAGE" \
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--sdk-language "JAVA" \
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--metadata-file "metadata.json"
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gcloud dataflow flex-template build $TEMPLATE_PATH \
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--image-gcr-path "$TEMPLATE_IMAGE" \
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--sdk-language "JAVA" \
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--flex-template-base-image JAVA11 \
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--metadata-file "metadata.json" \
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--jar "target/streaming-beam-sql-1.0.jar" \
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--env FLEX_TEMPLATE_JAVA_MAIN_CLASS="org.apache.beam.samples.StreamingBeamSQL"
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```
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The template is now available through the template file in the Cloud Storage
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location that you specified.
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### Running a Dataflow Flex Template pipeline
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### Running a Flex Template pipeline
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You can now run the Apache Beam pipeline in Dataflow by referring to the
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template file and passing the template
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[parameters](https://cloud.devsite.corp.google.com/dataflow/docs/guides/specifying-exec-params#setting-other-cloud-dataflow-pipeline-options)
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required by the pipeline.
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```sh
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# Run the Flex Template.
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gcloud beta dataflow flex-template run "streaming-beam-sql-`date +%Y%m%d-%H%M%S`" \
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--template-file-gcs-location "$TEMPLATE_PATH" \
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--parameters "inputSubscription=$SUBSCRIPTION,outputTable=$PROJECT:$DATASET.$TABLE"
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export REGION="us-central1"
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# Run the template.
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gcloud dataflow flex-template run "streaming-beam-sql-`date +%Y%m%d-%H%M%S`" \
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--template-file-gcs-location "$TEMPLATE_PATH" \
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--parameters inputSubscription="$SUBSCRIPTION" \
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--parameters outputTable="$PROJECT:$DATASET.$TABLE" \
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--region "$REGION"
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```
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Check the results in BigQuery by running the following query:

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