Ingest data from Kinesis

Use the SQL statement below to connect RisingWave to Kinesis Data Streams.

When creating a source, you can choose to persist the data from the source in RisingWave by using CREATE TABLE instead of CREATE SOURCE and specifying the connection settings and data format.

Syntax

CREATE {TABLE | SOURCE} [ IF NOT EXISTS ] source_name
[ schema_definition ]
[INCLUDE { header | key | offset | partition | timestamp | payload } [AS <column_name>]]
WITH (
   connector='kinesis',
   connector_parameter='value', ...
)
FORMAT data_format ENCODE data_encode (
   message = 'message',
   schema.location = 'location'
);

schema_definition:

(
   column_name data_type [ PRIMARY KEY ], ...
   [ PRIMARY KEY ( column_name, ... ) ]
)

For Avro and Protobuf data, do not specify schema_definition in the CREATE SOURCE or CREATE TABLE statement. The schema should be provided in a Web location in the option schema.location in the ENCODE section.

RisingWave performs primary key constraint checks on tables with connector settings but not on regular sources. If you need the checks to be performed, please create a table with connector settings.

For a table with primary key constraints, if a new data record with an existing key comes in, the new record will overwrite the existing record.

Connector parameters

Field	Notes
stream	Required. Name of the stream.
aws.region	Required. AWS service region. For example, US East (N. Virginia).
endpoint	Optional. URL of the entry point for the AWS Kinesis service.
aws.credentials.access_key_id	Required. This field indicates the access key ID of AWS.
aws.credentials.secret_access_key	Required. This field indicates the secret access key of AWS.
aws.credentials.session_token	Optional. The session token associated with the temporary security credentials. Using this field is not recommended as RisingWave contains long-running jobs and the token may expire. Creating a new role is preferred.
aws.credentials.role.arn	Optional. The Amazon Resource Name (ARN) of the role to assume.
aws.credentials.role.external_id	Optional. The external id used to authorize access to third-party resources.
scan.startup.mode	Optional. The startup mode for Kinesis consumer. Supported modes: earliest (corresponding to starting position TRIM_HORIZON), latest (corresponding to starting position LATEST), and timestamp (starts from a specific timestamp specified by scan.startup.timestamp.millis, corresponding to starting position AT_TIMESTAMP). The default mode is earliest.
scan.startup.timestamp.millis	Optional. This field specifies the timestamp, represented in i64, to start consuming from.

Other parameters

Field	Notes
data_format	Supported formats: DEBEZIUM, MAXWELL, CANAL, UPSERT, PLAIN.
data_encode	Supported encodes: JSON, AVRO, PROTOBUF, CSV, BYTES.
message	Message name of the main Message in schema definition. Required when data_encode is PROTOBUF.
location	Web location of the schema file in http://..., https://..., or S3://... format. Required when data_encode is AVRO or PROTOBUF. Examples:https://<example_host>/risingwave/proto-simple-schema.proto s3://risingwave-demo/schema-location

Example

Here is an example of connecting RisingWave to Kinesis Data Streams to read data from individual streams.

Avro

CREATE {TABLE | SOURCE} [IF NOT EXISTS] source_name
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'
);

JSON

CREATE {TABLE | SOURCE} [IF NOT EXISTS] source_name (
   column1 varchar,
   column2 integer,
)
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 JSON;

Use the payload keyword to ingest JSON data when you are unsure of the exact schema beforehand. Instead of defining specific column names and types at the very beginning, you can load all JSON data first and then prune and filter the data during runtime. Check the example below:

CREATE TABLE table_include_payload (v1 int, v2 varchar)
INCLUDE payload
WITH (
    connector = 'kinesis',
    topic = 'kinesis_1_partition_topic',
    properties.bootstrap.server = 'message_queue:29092',
    scan.startup.mode = 'earliest'
) FORMAT PLAIN ENCODE JSON;

Protobuf

CREATE {TABLE | SOURCE} [IF NOT EXISTS] source_name
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 PROTOBUF (
    message = 'package.message_name',
    schema.location = 'https://demo_bucket_name.s3-us-west-2.amazonaws.com/demo.proto'
);