yuangjiang commented on issue #963:
URL:
https://github.com/apache/incubator-seatunnel/issues/963#issuecomment-1023908340
spark cdc is feasible, only need to define a spark source to do a simple
test. CDC can be developed based on debezium
similar to this
class DefaultSource extends StreamSourceProvider with DataSourceRegister
with Logging {
override def sourceSchema(sqlContext: SQLContext, schema:
Option[StructType], providerName: String, parameters: Map[String, String]):
(String, StructType) = {
(shortName(),schema.get)
}
override def createSource(sqlContext: SQLContext, metadataPath: String,
schema: Option[StructType], providerName: String, parameters: Map[String,
String]): Source = {
val debeziumOffset:DebeziumOffset = new DebeziumOffset
val handover:Handover = new Handover
val changeConsumer:DebeziumChangeConsumer = new
DebeziumChangeConsumer(handover)
val debeziumEngine:SparkDebeziumEngine = new
SparkDebeziumEngine(debeziumOffset,handover,changeConsumer)
val javaParameters:java.util.Map[String,String] = new
util.HashMap[String,String]()
for (parameter <- parameters){
javaParameters.put(parameter._1,parameter._2)
}
debeziumEngine.EngineInit(javaParameters)
new DebeziumSource(sqlContext,schema.get,debeziumOffset,debeziumEngine)
}
override def shortName(): String = "debezium"
}
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