Change Data Capture from MySQL to BigQuery using Debezium and Pub/Sub (Stream) template

The Change Data Capture from MySQL to BigQuery using Debezium and Pub/Sub template is a streaming pipeline that reads Pub/Sub messages with change data from a MySQL database and writes the records to BigQuery. A Debezium connector captures changes to the MySQL database and publishes the changed data to Pub/Sub. The template then reads the Pub/Sub messages and writes them to BigQuery.

You can use this template to sync MySQL databases and BigQuery tables. The pipeline writes the changed data to a BigQuery staging table and intermittently updates a BigQuery table replicating the MySQL database.

Pipeline requirements

  • The Debezium connector must be deployed.
  • The Pub/Sub messages must be serialized in a Beam Row.

Template parameters

Required parameters

  • inputSubscriptions : The comma-separated list of Pub/Sub input subscriptions to read from, in the format <SUBSCRIPTION_NAME>,<SUBSCRIPTION_NAME>, ....
  • changeLogDataset : The BigQuery dataset to store the staging tables in, in the format <DATASET_NAME>.
  • replicaDataset : The location of the BigQuery dataset to store the replica tables in, in the format <DATASET_NAME>.

Optional parameters

  • inputTopics : Comma-separated list of PubSub topics to where CDC data is being pushed.
  • updateFrequencySecs : The interval at which the pipeline updates the BigQuery table replicating the MySQL database.
  • useSingleTopic : Set this to true if you have configured your Debezium connector to publish all table updates to a single topic. Defaults to: false.
  • useStorageWriteApi : If true, the pipeline uses the BigQuery Storage Write API (https://cloud.google.com/bigquery/docs/write-api). The default value is false. For more information, see Using the Storage Write API (https://beam.apache.org/documentation/io/built-in/google-bigquery/#storage-write-api).
  • useStorageWriteApiAtLeastOnce : When using the Storage Write API, specifies the write semantics. To use at-least once semantics (https://beam.apache.org/documentation/io/built-in/google-bigquery/#at-least-once-semantics), set this parameter to true. To use exactly-once semantics, set the parameter to false. This parameter applies only when useStorageWriteApi is true. The default value is false.
  • numStorageWriteApiStreams : When using the Storage Write API, specifies the number of write streams. If useStorageWriteApi is true and useStorageWriteApiAtLeastOnce is false, then you must set this parameter. Defaults to: 0.
  • storageWriteApiTriggeringFrequencySec : When using the Storage Write API, specifies the triggering frequency, in seconds. If useStorageWriteApi is true and useStorageWriteApiAtLeastOnce is false, then you must set this parameter.

Run the template

To run this template, perform the following steps:

  1. On your local machine, clone the DataflowTemplates repository.
  2. Change to the v2/cdc-parent directory.
  3. Ensure that the Debezium connector is deployed.
  4. Using Maven, run the Dataflow template: 
    mvn exec:java -pl cdc-change-applier -Dexec.args="--runner=DataflowRunner \
    --inputSubscriptions=SUBSCRIPTIONS \
    --updateFrequencySecs=300 \
    --changeLogDataset=CHANGELOG_DATASET \
    --replicaDataset=REPLICA_DATASET \
    --project=PROJECT_ID \
    --region=REGION_NAME"

    Replace the following:

    • PROJECT_ID: the Google Cloud project ID where you want to run the Dataflow job
    • SUBSCRIPTIONS: your comma-separated list of Pub/Sub subscription names
    • CHANGELOG_DATASET: your BigQuery dataset for changelog data
    • REPLICA_DATASET: your BigQuery dataset for replica tables

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