在kafka confluent中，如何在使用 pk.mode=record_key 对于mysql表中的复合键？upsert模式在使用 pk.mode=record_values . 是否需要进行其他配置？
如果我试着 pk.mode=record_key . 错误-由以下原因引起： org.apache.kafka.connect.errors.ConnectException ：只需要定义一个pk列，因为记录的键架构是基元类型。下面是我的jdbc接收器连接器配置：

{
    "name": "<name>",
    "config": {
    "connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
    "tasks.max": "1",
    "topics": "<topic name>",
    "connection.url": "<url>",
    "connection.user": "<user name>",
    "connection.password": "*******",
    "insert.mode": "upsert",
    "batch.size": "50000",
    "table.name.format": "<table name>",
    "pk.mode": "record_key",
    "pk.fields": "field1,field2",
    "auto.create": "true",
    "auto.evolve": "true",
    "max.retries": "10",
    "retry.backoff.ms": "3000",
    "mode": "bulk",
    "key.converter": "org.apache.kafka.connect.storage.StringConverter",
    "value.converter": "io.confluent.connect.avro.AvroConverter",
    "value.converter.schemas.enable": "true",
    "value.converter.schema.registry.url": "http://localhost:8081"
  }
}