flink table view datastream互转
2024-01-07 20:44:45
case class outer(f1:String,f2:Inner)
case class outerV1(f1:String,f2:Inner,f3:Int)
case class Inner(f3:String,f4:Int)
测试代码
package com.yy.table.convert
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.table.api._
import org.apache.flink.table.api.bridge.scala._
import org.apache.flink.table.types.DataType
object streamPOJO2table {
case class outer(f1:String,f2:Inner)
case class outerV1(f1:String,f2:Inner,f3:Int)
case class Inner(f3:String,f4:Int)
def main(args: Array[String]): Unit = {
// flink1.13 流处理环境初始化
val env = StreamExecutionEnvironment.getExecutionEnvironment
val tEnv = StreamTableEnvironment.create(env)
import org.apache.flink.streaming.api.scala._
val ds1: DataStream[outer] = env.fromElements(
outer("a",Inner("b",2))
,outer("d",Inner("e",4))
)
val table1: Table = tEnv.fromDataStream(ds1)
// table1
// .execute()
// .print()
/*
+----+--------------------------------+--------------------------------+
| op | f1 | f2 |
+----+--------------------------------+--------------------------------+
| +I | a | (f3=b, f4=2) |
| +I | d | (f3=e, f4=4) |
+----+--------------------------------+--------------------------------+
*/
// table1
// .print()
/*
5> +I[d, Inner(e,4)]
4> +I[a, Inner(b,2)]
*/
tEnv.createTemporaryView("view1", ds1)
val tableResult1: TableResult = tEnv.executeSql("select f1,f2,(f2.f4 + 100) as f3 from view1")
tableResult1.print()
/*
+----+--------------------------------+--------------------------------+-------------+
| op | f1 | f2 | f3 |
+----+--------------------------------+--------------------------------+-------------+
| +I | a | (f3=b, f4=2) | 102 |
| +I | d | (f3=e, f4=4) | 104 |
+----+--------------------------------+--------------------------------+-------------+
*/
//
val t1: Table = tEnv.sqlQuery("select f1,f2,(f2.f4 + 100) as f3 from view1")
// t1.print()
// println(t1.getResolvedSchema)
/*
+----+--------------------------------+--------------------------------+-------------+
| op | f1 | f2 | f3 |
+----+--------------------------------+--------------------------------+-------------+
| +I | a | (f3=b, f4=2) | 102 |
| +I | d | (f3=e, f4=4) | 104 |
+----+--------------------------------+--------------------------------+-------------+
2 rows in set
(
`f1` STRING,
`f2` *com.yy.table.convert.streamPOJO2table$Inner<`f3` STRING, `f4` INT NOT NULL>* NOT NULL,
`f3` INT NOT NULL
)
*/
println("---- 1 -------")
// tableResult转datastream
val o1: DataStream[outerV1] = tEnv.toDataStream[outerV1](t1,classOf[outerV1])
// o1.print()
println("---- 2 -------")
tEnv.executeSql(
"""
|select
|f1
|,f2.f3
|,f2.f4
|from view1
|""".stripMargin)
// .print()
/*
+----+--------------------------------+--------------------------------+--------------------------------+
| op | f1 | f3 | f4 |
+----+--------------------------------+--------------------------------+--------------------------------+
| +I | a | b | c |
| +I | d | e | f |
+----+--------------------------------+--------------------------------+--------------------------------+
*/
tEnv.executeSql(
"""
|select
|f1
|,(f2.f3,f2.f4)
|from view1
|""".stripMargin)
// .print()
env.execute("jobName1")
}
}
文章来源:https://blog.csdn.net/qq_35515661/article/details/135388763
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