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("")
>> }
>> ```
>
