class MyJdbcSink(sql:String ) extends RichSinkFunction[Array[Any]] { val driver="com.mysql.jdbc.Driver" val url="jdbc:mysql://localhost:3306/sensor?useSSL=false" val username="root" val password="123456" val maxActive="20" var connection:Connection=null; //创建连接 override def open(par...
'format.json-schema' = --or by using a JSON schema which parses to DECIMAL and TIMESTAMP.'{ -- This also overrides the default behavior. "type": "object","properties": {"lon": {"type": "number"},"rideTime": {"type": "string","format": "date-time"} } }' SQL 的properties ...
val resultSqlTable: Table = tableEnv.sqlQuery(sql) resultSqlTable.toAppendStream[(String,Double)].print(“resultSqlTable”) resultTable.toAppendStream[(String,Double)].print(“table”) env.execute(“test table api”) } } 六:一般化方法: //1.创建环境 val env: StreamExecutionEnvironment = S...
SQL 复制 mysql> use mydb Reading table information for completion of table and column names You can turn off this feature to get a quicker startup with -A mysql> CREATE TABLE orders ( order_id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY, order_date DATETIME NOT NULL, customer_id INTEGER...
'format' = 'json', -- 数据源格式为 json 'json.fail-on-missing-field' = 'true', -- 字段丢失任务不失败 'json.ignore-parse-errors' = 'false' -- 解析失败跳过 ) 解析SQL select funcName, doublemap['inner_map']['key'], count(data.snapshots[1].url), ...
使用Flink SQL 解析嵌套 JSON 的步骤如下: 创建Kafka数据源表,指定 JSON 格式的反序列化器 CREATE TABLE kafka_source ( `employees` ARRAY<VARCHAR> ) WITH ( 'connector' = 'kafka', 'topic' = 'your_topic', 'properties.bootstrap.servers' = 'localhost:9092', ...
tableEnv.executeSql(createFilesystemSourceDDL);// 执行统一查询,计算总金额TableresultTable=tableEnv.sqlQuery("SELECT SUM(amount) FROM ("+"SELECT amount FROM kafka_stream_orders "+"UNION ALL "+"SELECT amount FROM file_batch_orders)");// 打印结果tableEnv.toRetractStream(resultTable, Row.class)...
如何通过Kafka连接器解析嵌套JSON格式的数据? 例如如下JSON格式的数据,直接用JSON format解析,会被解析成一个ARRAY<ROW<cola VARCHAR, colb VARCHAR>> 字段,就是一个 Row类型的数组,其中这个Row类型包含两个VARCHAR字段,然后通过自定义表值函数(UDTF)解析。 {"data":[{"cola":"test1","colb":"test2"},{"cola...
如何通过Kafka连接器解析嵌套JSON格式的数据? 例如如下JSON格式的数据,直接用JSON format解析,会被解析成一个ARRAY<ROW<cola VARCHAR, colb VARCHAR>> 字段,就是一个 Row类型的数组,其中这个Row类型包含两个VARCHAR字段,然后通过自定义表值函数(UDTF)解析。 {"data":[{"cola":"test1","colb":"test2"},{"cola...