Move your data from Amazon Kinesis 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='kinesis',
   stream='kafka',
   aws.region='user_test_topic',
   endpoint='172.10.1.1:9090,172.10.1.2:9090',
   aws.credentials.session_token='AQoEXAMPLEH4aoAH0gNCAPyJxz4BlCFFxWNE1OPTgk5TthT+FvwqnKwRcOIfrRh3c/L To6UDdyJwOOvEVPvLXCrrrUtdnniCEXAMPLE/IvU1dYUg2RVAJBanLiHb4IgRmpRV3z rkuWJOgQs8IZZaIv2BXIa2R4OlgkBN9bkUDNCJiBeb/AXlzBBko7b15fjrBs2+cTQtp Z3CYWFXG8C5zqx37wnOE49mRl/+OtkIKGO7fAE',
   aws.credentials.role.arn='arn:aws-cn:iam::602389639824:role/demo_role',
   aws.credentials.role.external_id='demo_external_id',
   aws.credentials.access_key_id = 'your_access_key',
   aws.credentials.secret_access_key = 'your_secret_key'
) FORMAT PLAIN ENCODE AVRO (
    schema.location = 'https://demo_bucket_name.s3-us-west-2.amazonaws.com/demo.avsc'
);

For comprehensive configuration details, please refer to the Kinesis connector 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.