tasks/online-compute/FlinkSQL/flinksql_015/gt/ground_truth.sql

-- 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;