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>
>>
>>
>>
>>
