yuangjiang commented on issue #963:
URL:
https://github.com/apache/incubator-seatunnel/issues/963#issuecomment-1048464838
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
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