Datasets:
File size: 1,599 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 59 60 61 62 63 | -- flinksql_015: Regular Join (广告曝光 + 点击)
-- 双源无 WATERMARK + INNER JOIN on user_id AND ad_id
-- 1. 曝光流 datagen 源表 (无 event_time, 无 WATERMARK)
CREATE TABLE impression_source (
imp_id BIGINT,
user_id INT,
ad_id INT
) WITH (
'connector' = 'datagen',
'rows-per-second' = '5000',
'fields.imp_id.kind' = 'random',
'fields.imp_id.min' = '1',
'fields.imp_id.max' = '10000000',
'fields.user_id.kind' = 'random',
'fields.user_id.min' = '1',
'fields.user_id.max' = '100000',
'fields.ad_id.kind' = 'random',
'fields.ad_id.min' = '1',
'fields.ad_id.max' = '500'
);
-- 2. 点击流 datagen 源表 (无 event_time, 无 WATERMARK)
CREATE TABLE click_source (
click_id BIGINT,
user_id INT,
ad_id INT
) WITH (
'connector' = 'datagen',
'rows-per-second' = '1000',
'fields.click_id.kind' = 'random',
'fields.click_id.min' = '1',
'fields.click_id.max' = '10000000',
'fields.user_id.kind' = 'random',
'fields.user_id.min' = '1',
'fields.user_id.max' = '100000',
'fields.ad_id.kind' = 'random',
'fields.ad_id.min' = '1',
'fields.ad_id.max' = '500'
);
-- 3. Console 输出表
CREATE TABLE console_output (
user_id INT,
ad_id INT,
imp_id BIGINT,
click_id BIGINT
) WITH (
'connector' = 'print'
);
-- 4. Regular Join: 按 user_id + ad_id 关联曝光和点击
INSERT INTO console_output
SELECT
i.user_id,
i.ad_id,
i.imp_id,
c.click_id
FROM impression_source i
INNER JOIN click_source c
ON i.user_id = c.user_id
AND i.ad_id = c.ad_id;
|