Pub/Sub to MongoDB template

The Pub/Sub to MongoDB template is a streaming pipeline that reads JSON-encoded messages from a Pub/Sub subscription and writes them to MongoDB as documents. If required, this pipeline supports additional transforms that can be included using a JavaScript user-defined function (UDF). Any errors occurred due to schema mismatch, malformed JSON, or while executing transforms are recorded in a BigQuery table for unprocessed messages along with input message. If a table for unprocessed records does not exist prior to execution, the pipeline automatically creates this table.

Pipeline requirements

  • The Pub/Sub Subscription must exist and the messages must be encoded in a valid JSON format.
  • The MongoDB cluster must exist and should be acccessible from the Dataflow worker machines.

Template parameters

Parameter Description
inputSubscription Name of the Pub/Sub subscription. For example: projects/my-project-id/subscriptions/my-subscription-id
mongoDBUri Comma separated list of MongoDB servers. For example: 192.285.234.12:27017,192.287.123.11:27017
database Database in MongoDB to store the collection. For example: my-db.
collection Name of the collection inside MongoDB database. For example: my-collection.
deadletterTable BigQuery table that store messages due to failures (mismatched schema, malformed json etc). For example: project-id:dataset-name.table-name.
javascriptTextTransformGcsPath (Optional) The Cloud Storage URI of the .js file that defines the JavaScript user-defined function (UDF) you want to use. For example, gs://my-bucket/my-udfs/my_file.js.
javascriptTextTransformFunctionName (Optional) The name of the JavaScript user-defined function (UDF) that you want to use. For example, if your JavaScript function code is myTransform(inJson) { /*...do stuff...*/ }, then the function name is myTransform. For sample JavaScript UDFs, see UDF Examples.
batchSize (Optional) Batch size used for batch insertion of documents into MongoDB. Default: 1000.
batchSizeBytes (Optional) Batch size in bytes. Default: 5242880.
maxConnectionIdleTime (Optional) Maximum idle time allowed in seconds before connection time out occurs. Default: 60000.
sslEnabled (Optional) Boolean value indicating whether connection to MongoDB is SSL enabled. Default: true.
ignoreSSLCertificate (Optional) Boolean value indicating if SSL certifcate should be ignored. Default: true.
withOrdered (Optional) Boolean value enabling ordered bulk insertions into MongoDB. Default: true.
withSSLInvalidHostNameAllowed (Optional) Boolean value indicating if invalid host name is allowed for SSL connection. Default: true.

User-defined function

Optionally, you can extend this template by writing a user-defined function (UDF) in JavaScript. The template calls the UDF for each input element. Element payloads are serialized as JSON strings.

To use a UDF, upload the JavaScript file to Cloud Storage and set the following template parameters:

ParameterDescription
javascriptTextTransformGcsPath The Cloud Storage location of the JavaScript file.
javascriptTextTransformFunctionName The name of the JavaScript function.

For more information, see Create user-defined functions for Dataflow templates.

Function specification

The UDF has the following specification:

  • Input: a single line from an input CSV file.
  • Output: a stringified JSON document to insert into MongoDB.

Run the template

Console

  1. Go to the Dataflow Create job from template page.
  2. Go to Create job from template
  3. In the Job name field, enter a unique job name.
  4. Optional: For Regional endpoint, select a value from the drop-down menu. The default regional endpoint is us-central1.

    For a list of regions where you can run a Dataflow job, see Dataflow locations.

  5. From the Dataflow template drop-down menu, select the Pub/Sub to MongoDB template.
  6. In the provided parameter fields, enter your parameter values.
  7. Click Run job.

gcloud

In your shell or terminal, run the template:

gcloud dataflow flex-template run JOB_NAME \
    --project=PROJECT_ID \
    --region=REGION_NAME \
    --template-file-gcs-location=gs://dataflow-templates-REGION_NAME/VERSION/flex/Cloud_PubSub_to_MongoDB \
    --parameters \
inputSubscription=INPUT_SUBSCRIPTION,\
mongoDBUri=MONGODB_URI,\
database=DATABASE,
collection=COLLECTION,
deadletterTable=UNPROCESSED_TABLE
  

Replace the following:

  • PROJECT_ID: the Google Cloud project ID where you want to run the Dataflow job
  • REGION_NAME: the regional endpoint where you want to deploy your Dataflow job—for example, us-central1
  • JOB_NAME: a unique job name of your choice
  • VERSION: the version of the template that you want to use

    You can use the following values:

  • INPUT_SUBSCRIPTION: the Pub/Sub subscription (for example, projects/my-project-id/subscriptions/my-subscription-id)
  • MONGODB_URI: the MongoDB server addresses (for example, 192.285.234.12:27017,192.287.123.11:27017)
  • DATABASE: the name of the MongoDB database (for example, users)
  • COLLECTION: the name of the MongoDB collection (for example, profiles)
  • UNPROCESSED_TABLE: the name of the BigQuery table (for example, your-project:your-dataset.your-table-name)

API

To run the template using the REST API, send an HTTP POST request. For more information on the API and its authorization scopes, see projects.templates.launch.

POST https://dataflow.googleapis.com/v1b3/projects/PROJECT_ID/locations/LOCATION/flexTemplates:launch
{
   "launch_parameter": {
      "jobName": "JOB_NAME",
      "parameters": {
          "inputSubscription": "INPUT_SUBSCRIPTION",
          "mongoDBUri": "MONGODB_URI",
          "database": "DATABASE",
          "collection": "COLLECTION",
          "deadletterTable": "UNPROCESSED_TABLE"
      },
      "containerSpecGcsPath": "gs://dataflow-templates-LOCATION/VERSION/flex/Cloud_PubSub_to_MongoDB",
   }
}
  

Replace the following:

  • PROJECT_ID: the Google Cloud project ID where you want to run the Dataflow job
  • LOCATION: the regional endpoint where you want to deploy your Dataflow job—for example, us-central1
  • JOB_NAME: a unique job name of your choice
  • VERSION: the version of the template that you want to use

    You can use the following values:

  • INPUT_SUBSCRIPTION: the Pub/Sub subscription (for example, projects/my-project-id/subscriptions/my-subscription-id)
  • MONGODB_URI: the MongoDB server addresses (for example, 192.285.234.12:27017,192.287.123.11:27017)
  • DATABASE: the name of the MongoDB database (for example, users)
  • COLLECTION: the name of the MongoDB collection (for example, profiles)
  • UNPROCESSED_TABLE: the name of the BigQuery table (for example, your-project:your-dataset.your-table-name)