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  1. Flink
  2. FLINK-12251 Rework the Table API & SQL type system
  3. FLINK-18782

Retain the column name when converting a Table to a DataStream

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    • Sub-task
    • Status: Open
    • Major
    • Resolution: Unresolved
    • 1.9.1
    • None
    • Table SQL / API
    • None

    Description

      mail: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/How-to-retain-the-column-name-when-convert-a-Table-to-DataStream-td37002.html

       

      I met some field name errors when try to convert in Table and DataStream.
      First, init a datastream and convert to table 'source', register a tablefunction named 'foo'

      val sourceStream = env.socketTextStream("127.0.0.1", 8010)
        .map(line => line.toInt)
      tableEnv.registerDataStream("source_table", sourceStream, 'a)
      
      class Foo() extends TableFunction[(Int)] {
        def eval(col: Int): Unit = collect((col * 10))
      }
      tableEnv.registerFunction("foo", new Foo)
      

      Then, use sqlQuery to generate a new table t1 with columns 'a' 'b'

      val t1 = tableEnv.sqlQuery(
        """
          |SELECT source_table.a, b FROM source_table
          |, LATERAL TABLE(foo(a)) as T(b)
          |""".stripMargin
      )
      /*
       t1 table schema: root
       |-- a: INT
       |-- b: INT
       */
      println(s"t1 table schema: ${t1.getSchema}")
      

      When I try to convert 't1' to a datastream then register to a new table(for some reason) named 't1', the columns changes to 'a' 'f0', not 'a' 'b'

      val t1Stream = t1.toAppendStream[Row]
      // t1 stream schema: Row(a: Integer, f0: Integer)
      println(s"t1 stream schema: ${t1Stream.getType()}")
      tableEnv.registerDataStream("t1", t1Stream)
      /*
      new t1 table schema: root
      |-- a: INT
      |-- f0: INT
       */
      println(s"new t1 table schema: ${tableEnv.scan("t1").getSchema}")
      

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            yingz Ying Z
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              Created:
              Updated: