[Feature]support CDC in framework (not only flink cdc, also for spark)

[CalvinKirs]

support change data capture(CDC) in SeaTunnel both both in flink and spark backend,

• for flink, we ca integrate flink cdc directly, which is actually debezium.
• for spark, maybe we can use debezium directly.

[xtr1993]

cdc is for real-time calculations flink is compatible with debezium to support CDC maybe others My understanding is that you want to achieve it in other ways without debezium？

[chenhu]

It would be woh ~ for spark !

[yuangjiang]

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" }

[obobj]

Is there any progress ?

[UUIDUsername]

Can we introduce BloomFilter under the characteristics of timing？

[yuangjiang]

this is a spark datasource using by seatunnel connector test code like this

object DebeziumTest { def main(args: Array[String]): Unit = { val sparkSession = SparkSession .builder() .master("local[3]") .appName("debezium") .getOrCreate()

val structType =
  StructType(
      StructField("a", StringType, nullable = true) ::
      StructField("b", DecimalType(6,2), nullable = true) ::
      StructField("c", DecimalType(22,0), nullable = true) ::
      StructField("d", DecimalType(6,0), nullable = true) ::
      StructField("e", DecimalType(22,0), nullable = true) ::
      StructField("f", DecimalType(6,0), nullable = true) ::
        StructField("g", DecimalType(22,0), nullable = true)::
      StructField("h", StringType, nullable = true) ::
      StructField("op", StringType, nullable = true) ::
      StructField("ts_ms", StringType, nullable = true) ::
        Nil
  )

val parameters = new util.HashMap[String,String]()
parameters.put("database.hostname","localhost")
parameters.put("database.port","3306")
parameters.put("database.user","root")
parameters.put("database.password","123456")
parameters.put("database.include.list","test")
parameters.put("snapshot.mode","schema_only")
parameters.put("table.include.list","temp.ts_cdc_test")
parameters.put("connector.class","io.debezium.connector.mysql.MySqlConnector")
val dataFrame = sparkSession
   .readStream
  .options(parameters)
   .schema(structType)
   .format("org.apache.spark.sql.execution.streaming.debezium.DefaultSource")
   .load()

dataFrame.createOrReplaceTempView("test")
sparkSession.sql("select * from test")
  .writeStream
  .format("console")
  .outputMode(OutputMode.Append())
  .start()
  .awaitTermination()

} }

can support all debezium connetcor by seatunnel stream mode

[yuangjiang]

Don't know how to implement this function

------------------ 原始邮件 ------------------ 发件人: "apache/incubator-seatunnel" @.>; 发送时间: 2022年2月23日(星期三) 中午1:40 @.>; @.**@.>; 主题: Re: [apache/incubator-seatunnel] [Feature]support CDC in framework (not only flink cdc, also for spark) (Issue #963)

Can we introduce BloomFilter under the characteristics of timing？

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[dijiekstra]

I think we need to upgrade all Row to RowData first in Flink Module