影响的话 晚上吧，分批的话 也挺折腾 ，用键分页搬，我一般是 create table select where 1=0 ...
Flink SQL> CREATE TABLE Orders (`user` BIGINT, product STRING, amount INT) WITH (...); [INFO] Table has been created. Flink SQL> CREATE TABLE RubberOrders (product STRING, amount INT) WITH (...); [INFO] Table has been created. Flink SQL> INSERT INTO RubberOrders SELECT product, am...
在Flink 1.16 中,我们支持了更多的 DDL。比如 CREATE FUNCTION USING JAR,支持动态加载用户的 JAR,方便平台用户管理用户的 UDF。 其次,我们支持 CREATE TABLE AS SELECT,让用户便捷的通过已有 Table 创建一个新 Table。 最后,ANALYZE TABLE 是 Table 的一种新语法。帮助用户生成更高效的统计信息。这些统计信息会让...
but represents programs as SQL query expressions. The SQL abstraction closely interacts with the Table API, and SQL queries can be executed over tables defined in the Table API.
CREATE TEMPORARY TABLE `sink` ( `a` VARCHAR, b INT, e VARCHAR, `m` varchar ) WITH ( 'connector' = 'print', 'logger' = 'true' ); DML语句 INSERT INTO `sink` SELECT `a`, b, c.e[1], --Flink从1开始遍历数组,本示例为获取数组中的元素1。如果获取整个数组,则去掉[1]。 c.f.m ...
CREATE TEMPORARY TABLE `sink` ( `a` VARCHAR, b INT, e VARCHAR, `m` varchar ) WITH ( 'connector' = 'print', 'logger' = 'true' ); DML语句 INSERT INTO `sink` SELECT `a`, b, c.e[1], --Flink从1开始遍历数组,本示例为获取数组中的元素1。如果获取整个数组,则去掉[1]。 c.f.m ...
Flink CDC本身并不直接支持Canal,但是它可以通过Flink Connector来实现对Canal数据的消费。你只需要创建一个Flink Stream Table,然后使用Flink SQL的CREATE TABLE AS SELECT语句将Canal数据导入到这个表中,就可以使用Flink CDC来进行数据的同步和处理了。 以下是一个基本的示例: CREATE TABLE canal_data ( id INT, na...
CREATE VIEW window1 AS SELECT window_start, window_end, window_time as rowtime, SUM(price) as partial_price FROM TABLE( TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '5' MINUTES)) GROUP BY supplier_id, window_start, window_end, window_time; SELECT window_start, window_end, SUM(partial...
executeSql(sinkSql); // 执行计算并输出 String sql = "INSERT INTO print_table\n" + "SELECT word, SUM(frequency) AS frequency\n" + "FROM datagen_table\n" + "GROUP BY word"; tableEnv.executeSql(sql); Table API 程序基本架构如下: 代码语言:javascript 复制 // 执行环境 StreamExecution...
Flink SQL> describe MyTableSource; root |-- MyField1: Integer |-- MyField2: String Flink SQL> describe MyCustomView; root |-- MyField2: String Flink SQL> create view MyView1 as select MyField1 from MyTableSource; [INFO] View has been created. ...