Datasets:
File size: 1,504 Bytes
e8c001c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | -- online_005: 滚动窗口 TopN 商品排行
-- 单源生成 @ 10 rows/sec, Tumble 10s + ROW_NUMBER Top3
-- 1. 订单流 datagen 源表
CREATE TABLE orders_source (
order_id BIGINT,
product_id INT,
amount DOUBLE,
event_time AS LOCALTIMESTAMP,
WATERMARK FOR event_time AS event_time - INTERVAL '5' SECOND
) WITH (
'connector' = 'datagen',
'rows-per-second' = '10',
'fields.order_id.kind' = 'random',
'fields.order_id.min' = '1',
'fields.order_id.max' = '1000000',
'fields.product_id.kind' = 'random',
'fields.product_id.min' = '1',
'fields.product_id.max' = '1000',
'fields.amount.kind' = 'random',
'fields.amount.min' = '1',
'fields.amount.max' = '10000'
);
-- 2. Console 输出表
CREATE TABLE console_output (
window_start TIMESTAMP(3),
product_id INT,
sales DOUBLE,
order_cnt BIGINT,
rn BIGINT
) WITH (
'connector' = 'print'
);
-- 3. Tumble 10s 窗口聚合 + ROW_NUMBER Top 3
INSERT INTO console_output
SELECT
window_start,
product_id,
sales,
order_cnt,
rn
FROM (
SELECT
TUMBLE_START(event_time, INTERVAL '10' SECOND) AS window_start,
product_id,
SUM(amount) AS sales,
COUNT(*) AS order_cnt,
ROW_NUMBER() OVER (
PARTITION BY TUMBLE_START(event_time, INTERVAL '10' SECOND)
ORDER BY SUM(amount) DESC
) AS rn
FROM orders_source
GROUP BY TUMBLE(event_time, INTERVAL '10' SECOND), product_id
)
WHERE rn <= 3;
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