感谢,解决了, 指定 'connector.version' = '0.11' 就可以了.
Blink SQL这方面的官方资料和文档好少啊,开发容易遇到问题.
在 2019-08-26 14:26:15，"hb" <343122...@163.com> 写道：
>kafka版本是 kafka_2.11-1.1.0,
>支持的kafka版本有哪些
>在 2019-08-26 14:23:19，"pengcheng...@bonc.com.cn" <pengcheng...@bonc.com.cn> 写道：
>>检查一下代码的kafka版本，可能是这方面的错误
>>
>>
>>
>>pengcheng...@bonc.com.cn
>>
>>发件人： hb
>>发送时间： 2019-08-26 15:14
>>收件人： user-zh
>>主题： Re:Re: flink1.9 blink planner table ddl 使用问题
>>之前少了 flink-connector-kafka_2.11 依赖,
>>现在错误变成 Caused by: java.lang.NoSuchMethodError:
>>org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerThread.<init>(Lorg/slf4j/Logger;Lorg/apache/flink/streaming/connectors/kafka/internal/Handover;Ljava/util/Properties;Lorg/apache/flink/streaming/connectors/kafka/internals/ClosableBlockingQueue;Ljava/lang/String;JZLorg/apache/flink/metrics/MetricGroup;Lorg/apache/flink/metrics/MetricGroup;)V
>>了
>>
>>
>>pom依赖:
>>```
>> <dependencies>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-core</artifactId>
>> <version>${flink.version}</version>
>>
>>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-clients_2.11</artifactId>
>> <version>${flink.version}</version>
>>
>>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-scala_2.11</artifactId>
>> <version>${flink.version}</version>
>>
>>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-streaming-scala_2.11</artifactId>
>> <version>${flink.version}</version>
>>
>>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table</artifactId>
>> <version>1.9.0</version>
>> <type>pom</type>
>> <scope>provided</scope>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table-common</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-cep-scala_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-connector-filesystem_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>>
>>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table-api-scala-bridge_2.11</artifactId>
>> <version>${flink.version}</version>
>><!-- <scope>provided</scope>-->
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table-api-java-bridge_2.11</artifactId>
>> <version>${flink.version}</version>
>> <!-- <scope>provided</scope>-->
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table-planner_2.11</artifactId>
>> <version>${flink.version}</version>
>> <!-- <scope>provided</scope>-->
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table-runtime-blink_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>>
>>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-table-planner-blink_2.11</artifactId>
>> <version>${flink.version}</version>
>> <!-- <scope>provided</scope>-->
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-connector-elasticsearch6_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-connector-kafka-0.11_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>>
>>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-connector-kafka_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-json</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>> <dependency>
>> <groupId>org.apache.flink</groupId>
>> <artifactId>flink-runtime-web_2.11</artifactId>
>> <version>${flink.version}</version>
>> </dependency>
>> </dependencies>
>>
>>
>>```
>>
>>
>>
>>
>>
>>
>>
>>
>>在 2019-08-26 13:37:51，"Jark Wu" <imj...@gmail.com> 写道：
>>>Maven 需要同时依赖 flink-json 和 flink-connector-kafka_2.11
>>>
>>>Best,
>>>Jark
>>>
>>>> 在 2019年8月26日，13:57，hb <343122...@163.com> 写道：
>>>>
>>>> 使用了你的ddl语句,还是报一样的错误.
>>>> 我是在idea里面执行的,maven 配置的依赖.
>>>>
>>>> 在 2019-08-26 11:22:20，"Jark Wu" <imj...@gmail.com> 写道：
>>>>> Hi，
>>>>>
>>>>> 初步看下来你的 DDL 中有这几部分定义的有问题。
>>>>>
>>>>> 1. 缺少format properties
>>>>> 2. 缺少 connector.version
>>>>> 3. bootstrap.severs 的配置方式写的不对...
>>>>>
>>>>>
>>>>> 你可以参考下面这个作为example：
>>>>>
>>>>>
>>>>> CREATE TABLE kafka_json_source (
>>>>> rowtime TIMESTAMP,
>>>>> user_name VARCHAR,
>>>>> event ROW<message_type VARCHAR, message VARCHAR>
>>>>> ) WITH (
>>>>> 'connector.type' = 'kafka',
>>>>> 'connector.version' = 'universal',
>>>>> 'connector.topic' = 'test-json',
>>>>> 'connector.startup-mode' = 'earliest-offset',
>>>>> 'connector.properties.0.key' = 'zookeeper.connect',
>>>>> 'connector.properties.0.value' = 'localhost:2181',
>>>>> 'connector.properties.1.key' = 'bootstrap.servers',
>>>>> 'connector.properties.1.value' = 'localhost:9092',
>>>>> 'update-mode' = 'append',
>>>>> 'format.type' = 'json',
>>>>> 'format.derive-schema' = 'true'
>>>>> );
>>>>>
>>>>>
>>>>> Kafka 中的数据长这个样子：
>>>>>
>>>>> {"rowtime": "2018-03-12T08:00:00Z", "user_name": "Alice", "event": {
>>>>> "message_type": "WARNING", "message": "This is a warning."}}
>>>>>
>>>>>
>>>>> Best,
>>>>> Jark
>>>>>
>>>>>
>>>>>> 在 2019年8月26日，09:52，hb <343122...@163.com> 写道：
>>>>>>
>>>>>> flink1.9 blink planner table 使用ddl 语句,创建表不成功,不知道是少了 定义属性还是
>>>>>> 需要实现TableSourceFactory,还是其他什么.
>>>>>>
>>>>>>
>>>>>> 提示:
>>>>>> Exception in thread "main"
>>>>>> org.apache.flink.table.api.ValidationException: SQL validation failed.
>>>>>> findAndCreateTableSource failed.
>>>>>> Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException:
>>>>>> Could not find a suitable table factory for
>>>>>> 'org.apache.flink.table.factories.TableSourceFactory' in
>>>>>> the classpath.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> 代码:
>>>>>> ```
>>>>>> import org.apache.flink.streaming.api.scala.{StreamExecutionEnvironment,
>>>>>> _}
>>>>>> import org.apache.flink.table.api.{EnvironmentSettings, Types}
>>>>>> import org.apache.flink.table.api.scala.{StreamTableEnvironment, _}
>>>>>> import org.apache.flink.types.Row
>>>>>>
>>>>>>
>>>>>> object KafkaInDDL extends App {
>>>>>> val env = StreamExecutionEnvironment.getExecutionEnvironment
>>>>>> val settings: EnvironmentSettings =
>>>>>> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build()
>>>>>> val tEnv: StreamTableEnvironment = StreamTableEnvironment.create(env,
>>>>>> settings)
>>>>>>
>>>>>>
>>>>>> val sourceDDL =
>>>>>> """create table sourceTable(
>>>>>> id int,
>>>>>> name varchar
>>>>>> ) with (
>>>>>> 'connector.type' = 'kafka',
>>>>>> 'connector.property-version' = '1',
>>>>>> 'update-mode' = 'append',
>>>>>> 'bootstrap.servers' = '192.168.1.160:19092',
>>>>>> 'connector.topic' = 'hbtest1',
>>>>>> 'connector.startup-mode' = 'earliest-offset'
>>>>>> )
>>>>>> """
>>>>>> tEnv.sqlUpdate(sourceDDL)
>>>>>> tEnv.sqlQuery("select * from sourceTable").toAppendStream[Row].print()
>>>>>> tEnv.execute("")
>>>>>> }
>>>>>> ```
>>>>>
