car STRING, city_code STRING, county_code STRING, card BIGINT, camera_id STRING, orientation STRING, road_id BIGINT, `time` BIGINT, speed DOUBLE, ts_ltz AS TO_TIMESTAMP_LTZ(`time`, 3), WATERMARK FOR ts_ltz AS ts_ltz - INTERVAL '5' SECOND -- 指定时间字段和水位线 ) WITH ( 'co...
--1.创建UDFCREATEFUNCTIONuser_scalar_funcAS'flink.examples.sql._12_data_type._02_user_defined.UserScalarFunction';--2.创建数据源表CREATETABLEsource_table(user_idBIGINTNOTNULLCOMMENT'用户 id')WITH('connector'='datagen','rows-per-second'='1','fields.user_id.min'='1','fields.user_id.max...
在进一步深入探索Flink SQL源码的过程中,笔者发现可以从源码中运行时中提取到这样的数据结构: 1. nodes: nodes是Flink SQL中AST树的各个节点,每个节点包含两个重要的属性:id、fields 2. edges: edges是Flink SQL中AST树的各个节点之间的边,包含两个重要属性:source、target。注意这里的source和target即是nodes中的i...
packagecontoso.example;importjava.sql.Timestamp;publicclassEvent{publicString user;publicString url;publicString ts;publicEvent(){ }publicEvent(String user, String url, String ts){this.user = user;this.url = url;this.ts = ts; }@OverridepublicStringtoString(){return"{"+"user: \""+ user +...
region STRING ) WITH ( 'connector'='print' ); 4.3 测试用例 详细测试用例可查看源码中的单测,下面只描述部分测试点。 4.3.1 简单SELECT 4.3.1.1 行级权限条件 4.3.1.2 输入SQL SELECT * FROM orders; 4.3.1.3 输出SQL SELECT * FROM orders WHERE region = 'beijing'; ...
不过Flink SQL留下了执行DDL的接口:tableEnv.sqlUpdate() 对于jdbc的创建表操作,天生就适合直接写DDL来实现,所以我们的代码可以这样写: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 // 输出到 Mysql val sinkDDL: String = """ |create table jdbcOutputTable ( | id varchar(20) not null, | ...
tableEnv.executeSql(createSourceTableDdl);// // 编写 SQL 查询// String query = "SELECT user_id, SUM(order_amount) AS total_amount FROM csv_source GROUP BY user_id";// // 执行查询并打印// tableEnv.executeSql(query).print();// env.execute("Flink SQL Demo");// 定义输出数据源String...
以下是定义Flink表的SQL语句。 CREATE TABLE kafka_table ( -- 在此定义键中和值中的字段 key_id INT, value_id INT, name STRING ) WITH ( 'connector' = 'kafka', 'topic' = 'test_topic', 'properties.bootstrap.servers' = 'localhost:9092', 'format' = 'json', 'json.ignore-parse-errors'...
SQL：DATE string TIMESTAMP string CURRENT_TIME INTERVAL string range Table API：STRING.toDate STRING.toTimestamp currentTime()NUMERIC.days NUMERIC.minutes 6. 聚合函数 SQL：COUNT(*)SUM([ ALL | DISTINCT ] expression)RANK()ROW_NUMBER()Table API：FIELD.count FIELD.sum0 二、UDF 用户定义函数（User...
FlinkSql常用函数 1、比较函数 =<> > >=< <= 注意:selectnull=null; 返回为null IS NULL 、 IS NOT NULL --非空判断 value1 IS DISTINCT FROM value2、value1 IS NOT DISTINCT FROM value2、 --不同于 value1 BETWEEN [ ASYMMETRIC | S OR 、AND、NOT boolean、boolean IS FALSE、boolean IS NOT ...