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