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AMQ Streams offers a distributed backbone that allows microservices and other applications to share data with extremely high throughput and extremely low latency. It is based on the Strimzi and Apache Kafka projects. AMQ Streams features a wide range of capabilities, including publish and subscribe functionality, long-term data retention, advanced queueing, replayable events, and partitioned messages for scalability.

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Prerequisites

Before ingesting data from RedHat AMQ Streams into RisingWave, please ensure the following:
  • The AMQ Streams cluster is running and accessible from your RisingWave cluster.
  • If authentication is required for the AMQ Streams cluster, ensure you have the client username and password.
  • Create the AMQ Streams topic from which you want to ingest data.
  • Ensure that your RisingWave cluster is running.
For example, we create a topic named financial-transactions with the following sample data from various financial transactions data, formatted as JSON. Each sample represents a unique transaction with distinct transaction IDs, sender and receiver accounts, amounts, currencies, and timestamps. Hence AMQ Streams is compatible with Apache Kafka. For more information, refer to Apache Kafka. 
{"tx_id": "TX1004", "sender_account": "ACC1004", "receiver_account": "ACC2004", "amount": 2000.00, "currency": "USD", "tx_timestamp": "2024-03-29T12:36:00Z"}
{"tx_id": "TX1005", "sender_account": "ACC1005", "receiver_account": "ACC2005", "amount": 450.25, "currency": "EUR", "tx_timestamp": "2024-03-29T12:36:15Z"}
{"tx_id": "TX1006", "sender_account": "ACC1006", "receiver_account": "ACC2006", "amount": 1250.00, "currency": "USD", "tx_timestamp": "2024-03-29T12:36:30Z"}
{"tx_id": "TX1007", "sender_account": "ACC1007", "receiver_account": "ACC2007", "amount": 830.50, "currency": "GBP", "tx_timestamp": "2024-03-29T12:36:45Z"}
{"tx_id": "TX1008", "sender_account": "ACC1008", "receiver_account": "ACC2008", "amount": 540.00, "currency": "EUR", "tx_timestamp": "2024-03-29T12:37:00Z"}
{"tx_id": "TX1009", "sender_account": "ACC1009", "receiver_account": "ACC2009", "amount": 975.75, "currency": "GBP", "tx_timestamp": "2024-03-29T12:37:15Z"}
{"tx_id": "TX1010", "sender_account": "ACC1010", "receiver_account": "ACC2010", "amount": 1600.00, "currency": "USD", "tx_timestamp": "2024-03-29T12:37:30Z"}

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Ingest data into RisingWave

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Create a table

In RisingWave, create a table named financial-transactions to connect RisingWave to the AMQ Streams topic. 
CREATE TABLE financial_transactions (
    tx_id VARCHAR PRIMARY KEY,
    sender_account VARCHAR,
    receiver_account VARCHAR,
    amount NUMERIC,
    currency VARCHAR,
    tx_timestamp TIMESTAMP
)
WITH(
  connector='kafka',
  topic = 'financial-transactions',
  properties.bootstrap.server = 'localhost:9092',
  scan.startup.mode = 'earliest'
  )
  FORMAT PLAIN ENCODE JSON;

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Query the table

Let’s retrieve data from the created table: 
SELECT * FROM financial_transactions LIMIT 5;
Expected result: 
 tx_id  | sender_account | receiver_account | amount  | currency |      tx_timestamp
--------+----------------+------------------+---------+----------+------------------------
 TX1004 | ACC1004        | ACC2004          | 2000.00 | USD      | 2024-03-29 12:36:00+00
 TX1005 | ACC1005        | ACC2005          |  450.25 | EUR      | 2024-03-29 12:36:15+00
 TX1006 | ACC1006        | ACC2006          | 1250.00 | USD      | 2024-03-29 12:36:30+00
 TX1007 | ACC1007        | ACC2007          |  830.50 | GBP      | 2024-03-29 12:36:45+00
 TX1008 | ACC1008        | ACC2008          |  540.00 | EUR      | 2024-03-29 12:37:00+00
(5 rows)
You have consumed data from an AMQ Streams topic into the RisingWave, created a table, and then queried it.