Move your data from Confluent Cloud to Google BigQuery, continuously

Continuously ingest data from different sources, transform data on-the-fly, and then deliver data to any destinations using RisingWave’s connectors.

CREATE SOURCE IF NOT EXISTS orders_rw (
    order_id INTEGER PRIMARY KEY,
    customer_id INTEGER,
    order_status VARCHAR,
    total_amount DECIMAL,
    last_updated TIMESTAMP)
WITH (
    connector = 'kafka',
    topic = 'topic_0',
    properties.bootstrap.server = 'xyz-x00xx.us-east-1.aws.confluent.cloud:9092',
    scan.startup.mode = 'earliest',
    properties.security.protocol = 'SASL_SSL',
    properties.sasl.mechanism = 'PLAIN',
    properties.sasl.username = 'username',
    properties.sasl.password = 'password'
) FORMAT PLAIN ENCODE JSON;

For the detailed steps to ingest data from Confluent Cloud, please refer to the Confluent Cloud documentation.

CREATE SINK big_query_sink_local AS
SELECT
    order_status,
    COUNT(*) as order_count,
    SUM(total_amount) as total_revenue,
    AVG(total_amount) as avg_order_value,
    MIN(last_updated) as first_order_time,
    MAX(last_updated) as last_order_time
FROM orders_rw
WITH (
    connector = 'bigquery',
    type = 'append-only',
    bigquery.local.path = '/path/to/my/service-account.json',
    bigquery.project = 'my_project_id',
    bigquery.dataset = 'my_dataset',
    bigquery.table = 'my_table',
    force_append_only = 'true'
);

For comprehensive configuration details, please refer to the BigQuery connector documentation.