Cloud Pub/Sub to Cloud Storage template

Use the Dataproc Serverless Cloud Pub/Sub to Cloud Storage template to extract data from Pub/Sub to Cloud Storage.

Use the template

Run the template using the gcloud CLI or Dataproc API.

gcloud

Before using any of the command data below, make the following replacements:

PROJECT_ID: Required. Your Google Cloud project ID listed in the IAM Settings.
REGION: Required. Compute Engine region.
SUBNET: Optional. If a subnet is not specified, the subnet in the specified REGION in the default network is selected.
Example: projects/PROJECT_ID/regions/REGION/subnetworks/SUBNET_NAME
TEMPLATE_VERSION: Required. Specify latest for the latest template version, or the date of a specific version, for example, 2023-03-17_v0.1.0-beta (visit gs://dataproc-templates-binaries or run gcloud storage ls gs://dataproc-templates-binaries to list available template versions).
PUBSUB_SUBSCRIPTION_PROJECT_ID: Required. The Google Cloud project ID listed in the IAM Settings that contains the input Pub/Sub subscription to be read.
SUBSCRIPTION: Required. Pub/Sub subscription name.
CLOUD_STORAGE_OUTPUT_BUCKET_NAME: Required. Cloud Storage bucket name where output will be stored.
Note: The output files will be stored in the output/ folder inside the bucket.
FORMAT: Required. Output data format. Options: avro or json.
Note: If avro, you must add "file:///usr/lib/spark/connector/spark-avro.jar" to the jars gcloud CLI flag or API field.

Example (the file:// prefix references a Dataproc Serverless jar file):
--jars=file:///usr/lib/spark/connector/spark-avro.jar, [ ... other jars]
TIMEOUT: Optional. Time in milliseconds before termination of stream. Defaults to 60000.
DURATION: Optional. Frequency in seconds of writes to Cloud Storage. Defaults to 15 seconds.
NUM_RECEIVERS: Optional. Number of streams read from a Pub/Sub subscription in parallel. Defaults to 5.
BATCHSIZE: Optional. Number of records to insert in one round trip into Cloud Storage. Defaults to 1000.
SERVICE_ACCOUNT: Optional. If not provided, the default Compute Engine service account is used.
PROPERTY and PROPERTY_VALUE: Optional. Comma-separated list of Spark property=value pairs.
LABEL and LABEL_VALUE: Optional. Comma-separated list of label=value pairs.
LOG_LEVEL: Optional. Level of logging. Can be one of ALL, DEBUG, ERROR, FATAL, INFO, OFF, TRACE, or WARN. Default: INFO.
KMS_KEY: Optional. The Cloud Key Management Service key to use for encryption. If a key is not specified, data is encrypted at rest using a Google-owned and Google-managed key.
Example: projects/PROJECT_ID/regions/REGION/keyRings/KEY_RING_NAME/cryptoKeys/KEY_NAME

Execute the following command:

Linux, macOS, or Cloud Shell

gcloud dataproc batches submit spark \
    --class=com.google.cloud.dataproc.templates.main.DataProcTemplate \
    --version="1.2" \
    --project="PROJECT_ID" \
    --region="REGION" \
    --jars="gs://dataproc-templates-binaries/TEMPLATE_VERSION/java/dataproc-templates.jar" \
    --subnet="SUBNET" \
    --kms-key="KMS_KEY" \
    --service-account="SERVICE_ACCOUNT" \
    --properties="PROPERTY=PROPERTY_VALUE" \
    --labels="LABEL=LABEL_VALUE" \
    -- --template=PUBSUBTOGCS \
    --templateProperty log.level="LOG_LEVEL" \
    --templateProperty pubsubtogcs.input.project.id="PUBSUB_SUBSCRIPTION_PROJECT_ID" \
    --templateProperty pubsubtogcs.input.subscription="SUBSCRIPTION" \
    --templateProperty pubsubtogcs.gcs.bucket.name="CLOUD_STORAGE_OUTPUT_BUCKET_NAME" \
    --templateProperty pubsubtogcs.gcs.output.data.format="FORMAT" \
    --templateProperty pubsubtogcs.timeout.ms="TIMEOUT" \
    --templateProperty pubsubtogcs.streaming.duration.seconds="DURATION" \
    --templateProperty pubsubtogcs.total.receivers="NUM_RECEIVERS" \
    --templateProperty pubsubtogcs.batch.size="BATCHSIZE"

Windows (PowerShell)

gcloud dataproc batches submit spark `
    --class=com.google.cloud.dataproc.templates.main.DataProcTemplate `
    --version="1.2" `
    --project="PROJECT_ID" `
    --region="REGION" `
    --jars="gs://dataproc-templates-binaries/TEMPLATE_VERSION/java/dataproc-templates.jar" `
    --subnet="SUBNET" `
    --kms-key="KMS_KEY" `
    --service-account="SERVICE_ACCOUNT" `
    --properties="PROPERTY=PROPERTY_VALUE" `
    --labels="LABEL=LABEL_VALUE" `
    -- --template=PUBSUBTOGCS `
    --templateProperty log.level="LOG_LEVEL" `
    --templateProperty pubsubtogcs.input.project.id="PUBSUB_SUBSCRIPTION_PROJECT_ID" `
    --templateProperty pubsubtogcs.input.subscription="SUBSCRIPTION" `
    --templateProperty pubsubtogcs.gcs.bucket.name="CLOUD_STORAGE_OUTPUT_BUCKET_NAME" `
    --templateProperty pubsubtogcs.gcs.output.data.format="FORMAT" `
    --templateProperty pubsubtogcs.timeout.ms="TIMEOUT" `
    --templateProperty pubsubtogcs.streaming.duration.seconds="DURATION" `
    --templateProperty pubsubtogcs.total.receivers="NUM_RECEIVERS" `
    --templateProperty pubsubtogcs.batch.size="BATCHSIZE"

Windows (cmd.exe)

gcloud dataproc batches submit spark ^
    --class=com.google.cloud.dataproc.templates.main.DataProcTemplate ^
    --version="1.2" ^
    --project="PROJECT_ID" ^
    --region="REGION" ^
    --jars="gs://dataproc-templates-binaries/TEMPLATE_VERSION/java/dataproc-templates.jar" ^
    --subnet="SUBNET" ^
    --kms-key="KMS_KEY" ^
    --service-account="SERVICE_ACCOUNT" ^
    --properties="PROPERTY=PROPERTY_VALUE" ^
    --labels="LABEL=LABEL_VALUE" ^
    -- --template=PUBSUBTOGCS ^
    --templateProperty log.level="LOG_LEVEL" ^
    --templateProperty pubsubtogcs.input.project.id="PUBSUB_SUBSCRIPTION_PROJECT_ID" ^
    --templateProperty pubsubtogcs.input.subscription="SUBSCRIPTION" ^
    --templateProperty pubsubtogcs.gcs.bucket.name="CLOUD_STORAGE_OUTPUT_BUCKET_NAME" ^
    --templateProperty pubsubtogcs.gcs.output.data.format="FORMAT" ^
    --templateProperty pubsubtogcs.timeout.ms="TIMEOUT" ^
    --templateProperty pubsubtogcs.streaming.duration.seconds="DURATION" ^
    --templateProperty pubsubtogcs.total.receivers="NUM_RECEIVERS" ^
    --templateProperty pubsubtogcs.batch.size="BATCHSIZE"

REST

Before using any of the request data, make the following replacements:

PROJECT_ID: Required. Your Google Cloud project ID listed in the IAM Settings.
REGION: Required. Compute Engine region.
SUBNET: Optional. If a subnet is not specified, the subnet in the specified REGION in the default network is selected.
Example: projects/PROJECT_ID/regions/REGION/subnetworks/SUBNET_NAME
TEMPLATE_VERSION: Required. Specify latest for the latest template version, or the date of a specific version, for example, 2023-03-17_v0.1.0-beta (visit gs://dataproc-templates-binaries or run gcloud storage ls gs://dataproc-templates-binaries to list available template versions).
PUBSUB_SUBSCRIPTION_PROJECT_ID: Required. The Google Cloud project ID listed in the IAM Settings that contains the input Pub/Sub subscription to be read.
SUBSCRIPTION: Required. Pub/Sub subscription name.
CLOUD_STORAGE_OUTPUT_BUCKET_NAME: Required. Cloud Storage bucket name where output will be stored.
Note: The output files will be stored in the output/ folder inside the bucket.
FORMAT: Required. Output data format. Options: avro or json.
Note: If avro, you must add "file:///usr/lib/spark/connector/spark-avro.jar" to the jars gcloud CLI flag or API field.

Example (the file:// prefix references a Dataproc Serverless jar file):
--jars=file:///usr/lib/spark/connector/spark-avro.jar, [ ... other jars]
TIMEOUT: Optional. Time in milliseconds before termination of stream. Defaults to 60000.
DURATION: Optional. Frequency in seconds of writes to Cloud Storage. Defaults to 15 seconds.
NUM_RECEIVERS: Optional. Number of streams read from a Pub/Sub subscription in parallel. Defaults to 5.
BATCHSIZE: Optional. Number of records to insert in one round trip into Cloud Storage. Defaults to 1000.
SERVICE_ACCOUNT: Optional. If not provided, the default Compute Engine service account is used.
PROPERTY and PROPERTY_VALUE: Optional. Comma-separated list of Spark property=value pairs.
LABEL and LABEL_VALUE: Optional. Comma-separated list of label=value pairs.
LOG_LEVEL: Optional. Level of logging. Can be one of ALL, DEBUG, ERROR, FATAL, INFO, OFF, TRACE, or WARN. Default: INFO.
KMS_KEY: Optional. The Cloud Key Management Service key to use for encryption. If a key is not specified, data is encrypted at rest using a Google-owned and Google-managed key.
Example: projects/PROJECT_ID/regions/REGION/keyRings/KEY_RING_NAME/cryptoKeys/KEY_NAME

HTTP method and URL:

POST https://dataproc.googleapis.com/v1/projects/PROJECT_ID/locations/REGION/batches

Request JSON body:


{
  "environmentConfig":{
    "executionConfig":{
      "subnetworkUri":"SUBNET",
      "kmsKey": "KMS_KEY",
      "serviceAccount": "SERVICE_ACCOUNT"
    }
  },
  "labels": {
    "LABEL": "LABEL_VALUE"
  },
  "runtimeConfig": {
    "version": "1.2",
    "properties": {
      "PROPERTY": "PROPERTY_VALUE"
    }
  },
  "sparkBatch":{
    "mainClass":"com.google.cloud.dataproc.templates.main.DataProcTemplate",
    "args":[
      "--template","PUBSUBTOGCS",
      "--templateProperty","log.level=LOG_LEVEL",
      "--templateProperty","pubsubtogcs.input.project.id=PUBSUB_SUBSCRIPTION_PROJECT_ID",
      "--templateProperty","pubsubtogcs.input.subscription=SUBSCRIPTION",
      "--templateProperty","pubsubtogcs.gcs.bucket.name=CLOUD_STORAGE_OUTPUT_BUCKET_NAME",
      "--templateProperty","pubsubtogcs.gcs.output.data.format=FORMAT",
      "--templateProperty","pubsubtogcs.timeout.ms=TIMEOUT",
      "--templateProperty","pubsubtogcs.streaming.duration.seconds=DURATION",
      "--templateProperty","pubsubtogcs.total.receivers=NUM_RECEIVERS",
      "--templateProperty","pubsubtogcs.batch.size=BATCHSIZE"
    ],
    "jarFileUris":[
      "file:///usr/lib/spark/connector/spark-avro.jar", "gs://dataproc-templates-binaries/TEMPLATE_VERSION/java/dataproc-templates.jar"
    ]
  }
}

To send your request, expand one of these options:

curl (Linux, macOS, or Cloud Shell)

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login , or by using Cloud Shell, which automatically logs you into the gcloud CLI . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json, and execute the following command:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://dataproc.googleapis.com/v1/projects/PROJECT_ID/locations/REGION/batches"

PowerShell (Windows)

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json, and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://dataproc.googleapis.com/v1/projects/PROJECT_ID/locations/REGION/batches" | Select-Object -Expand Content

You should receive a JSON response similar to the following:


{
  "name": "projects/PROJECT_ID/regions/REGION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.dataproc.v1.BatchOperationMetadata",
    "batch": "projects/PROJECT_ID/locations/REGION/batches/BATCH_ID",
    "batchUuid": "de8af8d4-3599-4a7c-915c-798201ed1583",
    "createTime": "2023-02-24T03:31:03.440329Z",
    "operationType": "BATCH",
    "description": "Batch"
  }
}