我有一个微服务,该微服务使用OracleDB在EVENT_STORE
表中发布系统更改。表EVENT_STORE
包含一列TYPE
,其中包含事件类型的名称。
JDBC Source Kafka Connect是否有可能进行EVENT_STORE
表更改,并使用KAFKA-TOPIC中的列TYPE
的值发布它们?
这是我的源kafka连接器配置:
{
"name": "kafka-connector-source-ms-name",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"tasks.max": "1",
"connection.url": "jdbc:oracle:thin:@localhost:1521:xe",
"connection.user": "squeme-name",
"connection.password": "password",
"topic.prefix": "",
"table.whitelist": "EVENT_STORE",
"mode": "timestamp+incrementing",
"timestamp.column.name": "CREATE_AT",
"incrementing.column.name": "ID",
"key.converter": "org.apache.kafka.connect.storage.StringConverter",
"value.converter": "org.apache.kafka.connect.json.JsonConverter",
"config.action.reload": "restart",
"errors.retry.timeout": "0",
"errors.retry.delay.max.ms": "60000",
"errors.tolerance": "none",
"errors.log.enable": "false",
"errors.log.include.messages": "false",
"connection.attempts": "3",
"connection.backoff.ms": "10000",
"numeric.precision.mapping": "false",
"validate.non.null": "true",
"quote.sql.identifiers": "ALWAYS",
"table.types": "TABLE",
"poll.interval.ms": "5000",
"batch.max.rows": "100",
"table.poll.interval.ms": "60000",
"timestamp.delay.interval.ms": "0",
"db.timezone": "UTC"
}
}
答案 0 :(得分:1)
您可以尝试进行ExtractTopic转换以从字段中提取主题名称
将以下属性添加到JSON
transforms=ValueFieldExample
transforms.ValueFieldExample.type=io.confluent.connect.transforms.ExtractTopic$Value
transforms.ValueFieldExample.field=TYPE