dicemy's picture
Upload 655 files
e8c001c verified
Raw
History Blame Contribute Delete
1.13 kB
-- flinksql_019: 全局分组 + 过滤统计
-- 生成 3000 行/秒的交易事件流,使用反引号包裹保留字
-- 1. 交易事件流 datagen 源表(无事件时间/Watermark)
CREATE TABLE trade_source (
trade_id BIGINT,
`type` INT,
`status` INT,
amount DOUBLE
) WITH (
'connector' = 'datagen',
'rows-per-second' = '3000',
'fields.trade_id.kind' = 'random',
'fields.trade_id.min' = '1',
'fields.trade_id.max' = '1000000000',
'fields.type.kind' = 'random',
'fields.type.min' = '1',
'fields.type.max' = '5',
'fields.status.kind' = 'random',
'fields.status.min' = '0',
'fields.status.max' = '2',
'fields.amount.kind' = 'random',
'fields.amount.min' = '0',
'fields.amount.max' = '5000'
);
-- 2. Console 输出表
CREATE TABLE console_output (
`type` INT,
trade_cnt BIGINT,
total_amount DOUBLE
) WITH (
'connector' = 'print'
);
-- 3. 过滤 status=1 + 按 type 分组统计
INSERT INTO console_output
SELECT
`type`,
COUNT(*) AS trade_cnt,
SUM(amount) AS total_amount
FROM trade_source
WHERE `status` = 1
GROUP BY `type`;