Flink学习:Flink常见报错

一、org.apache.flink.table.api.TableException: Only the first field can reference an atomic type

程序如下:

import org.apache.flink.api.scala.createTypeInformation
import org.apache.flink.streaming.api.environment._
import org.apache.flink.api.java.tuple._
import org.apache.flink.table.api.scala.table2TableConversions
import org.apache.flink.table.api.{TableEnvironment, Types}
import org.apache.flink.table.sources.CsvTableSource
import org.apache.flink.types.Row

object sqlTest {
  def main(args: Array[String]): Unit = {
    val sEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val tEnv = TableEnvironment.getTableEnvironment(sEnv)

    val stream = sEnv.fromElements((192,"nie"),(200,"hu"))
    tEnv.registerDataStream("testTable", stream, "id,name")
    val result = tEnv.sqlQuery("select * from testTable where id = 192")
  }
}

看网上解释:tuple要使用java包里面的（scala import org.apache.flink.api.java.tuple._）,而不是scala自带的tuple，不然也会认为是geneic类型，导致报错,修改后代码如下:

import org.apache.flink.api.scala.createTypeInformation
import org.apache.flink.streaming.api.environment._
import org.apache.flink.api.java.tuple._
import org.apache.flink.table.api.scala.table2TableConversions
import org.apache.flink.table.api.{TableEnvironment, Types}
import org.apache.flink.table.sources.CsvTableSource
import org.apache.flink.types.Row

object sqlTest {
  def main(args: Array[String]): Unit = {
    val sEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val tEnv = TableEnvironment.getTableEnvironment(sEnv)

    val stream = sEnv.fromElements(
      new Tuple2(192,"nie"),
      new Tuple2(200,"zhu"))
    tEnv.registerDataStream("testTable", stream, "id,name")
    val result = tEnv.sqlQuery("select * from testTable where id = 192")
    //result.toRetractStream[Row].print()
    //val csvSource = new CsvTableSource("path",)
    //tEnv.registerTableSource("CsvTable",csvSource)
  }
}

二、Only tables that originate from Scala DataStreams can be converted to Scala DataStreams

程序如下:

import org.apache.flink.api.scala.createTypeInformation
import org.apache.flink.api.java.tuple._
import org.apache.flink.api.scala.ExecutionEnvironment
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.table.api.scala._
import org.apache.flink.table.api.TableEnvironment
import org.apache.flink.types.Row

object SqlTest {
  def main(args: Array[String]): Unit = {
    val streamEnv = StreamExecutionEnvironment.getExecutionEnvironment
    val tEnv = TableEnvironment.getTableEnvironment(streamEnv)

    //val InmemCatalog = new InMemoryExternalCatalog()
    //tEnv.registerExternalCatalog("externalCatalog",InmemCatalog)
    val stream = streamEnv.fromElements(new Tuple2(192,"nie"),
      new Tuple2(200,"hu"))

    tEnv.registerDataStream("testTable", stream, "id,name")
    //val result = tEnv.scan("testTable").select("id")
    //print(result)
    val result = tEnv.sqlQuery("select * from testTable where id = 192")
    result.toRetractStream[(Long,String)].print()

    streamEnv.execute("test")
    //tEnv.sqlUpdate("insert into csv_output_table select product,amount from sensors where type = 'temperature")
  }
}

后来发现是导入错了包

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
应该改为
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment

三、Field reference expression or alias on field expression expected.

还是上面那个程序,改完之后,还报上述错误

下面这段代码有错误
tEnv.registerDataStream("testTable", stream, "id,name")
应该改为
tEnv.registerDataStream("testTable", stream, 'id, 'name),用单引号括起来
如果使用import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment,使用单引号括起来是会报错的

四、Result field does not match requested type. Requested: Long; Actual: Integer

还是上面那段程序,还有报错

result.toRetractStream[(Long,String)].print()
后面中的类型应该改为Row
result.toRetractStream[Row].print()