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| Original file line number | Diff line number | Diff line change |
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| # Debezium Format | ||
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| Changelog-Data-Capture Format: Serialization Schema Format: Deserialization Schema | ||
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| Debezium is a set of distributed services to capture changes in your databases so that your applications can see those changes and respond to them. Debezium records all row-level changes within each database table in a *change event stream*, and applications simply read these streams to see the change events in the same order in which they occurred. | ||
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| Seatunnel supports to interpret Debezium JSON messages as INSERT/UPDATE/DELETE messages into seatunnel system. This is useful in many cases to leverage this feature, such as | ||
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| synchronizing incremental data from databases to other systems | ||
| auditing logs | ||
| real-time materialized views on databases | ||
| temporal join changing history of a database table and so on. | ||
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| Seatunnel also supports to encode the INSERT/UPDATE/DELETE messages in Seatunnel asDebezium JSON messages, and emit to storage like Kafka. | ||
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| # Format Options | ||
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| | option | default | required | Description | | ||
| |-----------------------------------|---------|----------|------------------------------------------------------------------------------------------------------| | ||
| | format | (none) | yes | Specify what format to use, here should be 'debezium_json'. | | ||
| | debezium-json.ignore-parse-errors | false | no | Skip fields and rows with parse errors instead of failing. Fields are set to null in case of errors. | | ||
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| # How to use Debezium format | ||
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| ## Kafka uses example | ||
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| Debezium provides a unified format for changelog, here is a simple example for an update operation captured from a MySQL products table: | ||
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| ```bash | ||
| { | ||
| "before": { | ||
| "id": 111, | ||
| "name": "scooter", | ||
| "description": "Big 2-wheel scooter ", | ||
| "weight": 5.18 | ||
| }, | ||
| "after": { | ||
| "id": 111, | ||
| "name": "scooter", | ||
| "description": "Big 2-wheel scooter ", | ||
| "weight": 5.17 | ||
| }, | ||
| "source": { | ||
| "version": "1.1.1.Final", | ||
| "connector": "mysql", | ||
| "name": "dbserver1", | ||
| "ts_ms": 1589362330000, | ||
| "snapshot": "false", | ||
| "db": "inventory", | ||
| "table": "products", | ||
| "server_id": 223344, | ||
| "gtid": null, | ||
| "file": "mysql-bin.000003", | ||
| "pos": 2090, | ||
| "row": 0, | ||
| "thread": 2, | ||
| "query": null | ||
| }, | ||
| "op": "u", | ||
| "ts_ms": 1589362330904, | ||
| "transaction": null | ||
| } | ||
| ``` | ||
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| Note: please refer to Debezium documentation about the meaning of each fields. | ||
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| The MySQL products table has 4 columns (id, name, description and weight). | ||
| The above JSON message is an update change event on the products table where the weight value of the row with id = 111 is changed from 5.18 to 5.15. | ||
| Assuming the messages have been synchronized to Kafka topic products_binlog, then we can use the following Seatunnel conf to consume this topic and interpret the change events by Debezium format. | ||
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| ```bash | ||
| env { | ||
| execution.parallelism = 1 | ||
| job.mode = "BATCH" | ||
| } | ||
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| source { | ||
| Kafka { | ||
| bootstrap.servers = "kafkaCluster:9092" | ||
| topic = "products_binlog" | ||
| result_table_name = "kafka_name" | ||
| start_mode = earliest | ||
| schema = { | ||
| fields { | ||
| id = "int" | ||
| name = "string" | ||
| description = "string" | ||
| weight = "string" | ||
| } | ||
| } | ||
| format = debezium_json | ||
| } | ||
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| } | ||
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| transform { | ||
| } | ||
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| sink { | ||
| Kafka { | ||
| bootstrap.servers = "kafkaCluster:9092" | ||
| topic = "consume-binlog" | ||
| format = debezium_json | ||
| } | ||
| } | ||
| ``` | ||
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