不应该呀，我看到仍然有
def registerDataStream[T](name: String, dataStream: DataStream[T], fields:
Expression*): Unit
这个方法的，你能提供完整一点的上下文和报错吗？
Best,
tison.
ddwcg <3149768...@qq.com> 于2019年8月26日周一 上午11:38写道：
> 感谢您的回复，确实是这个原因。但是后面注册表的时候不能使用 Expression
> 总是感觉 java api 和scala api有点混乱了
>
>
> 在 2019年8月26日，11:22，Zili Chen <wander4...@gmail.com> 写道：
>
> 试试把
>
> import
> org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
>
> 换成
>
> import org.apache.flink.table.api.scala.StreamExecutionEnvironment
>
> 应该是意外 import 了不同包下的同名类的缘故
>
> Best,
> tison.
>
>
> ddwcg <3149768...@qq.com> 于2019年8月26日周一 上午11:12写道：
>
> 大家好，
> 我周末升级到了1.9.0，但是在初始化table env的时候编译不通过，请大家帮忙看看是什么原因，
>
> import org.apache.flink.streaming.api.CheckpointingMode
> import
> org.apache.flink.streaming.api.environment.CheckpointConfig.ExternalizedCheckpointCleanup
> import
> org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
> import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer
> import org.apache.flink.streaming.util.serialization.SimpleStringSchema
> import org.apache.flink.table.api.scala.StreamTableEnvironment
> import org.apache.flink.table.planner.expressions.StddevPop
> import org.apache.kafka.clients.consumer.ConsumerConfig
> import org.apache.kafka.clients.producer.ProducerConfig
>
> object StreamingJob {
> def main(args: Array[String]) {
> val kafkaTopic = "source.kafka.topic"
> val jobName ="test"
> val parallelism =1
> val checkPointPath ="checkpoint/"
> val kafkaBrokers =""
>
> // set up the streaming execution environment
> val env = StreamExecutionEnvironment.getExecutionEnvironment
> env.setParallelism(parallelism)
> env.enableCheckpointing(10000)
>
>
> env.getCheckpointConfig.setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE)
> env.getCheckpointConfig.setMaxConcurrentCheckpoints(1)
>
>
> env.getCheckpointConfig.enableExternalizedCheckpoints(ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION)
> //env.setStateBackend(new FsStateBackend(checkPointPath))
>
>
> val tableEnv = StreamTableEnvironment.create(env)
>
>
> 提示有多个实现：
>
> 下面是pom文件：
>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-scala_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> <scope>compile</scope>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> <scope>compile</scope>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
>
> <artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
> <version>${flink.version}</version>
> <scope>provided</scope>
> </dependency>
> <!--
> https://mvnrepository.com/artifact/org.apache.flink/flink-table-runtime-blink
> -->
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-table-runtime-blink_2.11</artifactId>
> <version>1.9.0</version>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-connector-kafka_2.11</artifactId>
> <version>1.9.0</version>
> </dependency>
> <dependency>
> <groupId>org.apache.flink</groupId>
> <artifactId>flink-table-common</artifactId>
> <version>${flink.version}</version>
> <scope>provided</scope>
> </dependency>
>
>
>
>
>
>
