-- flinksql_014: Interval Join + 10-min TUMBLE 窗口聚合 (订单支付)
-- 双源 Interval Join → TUMBLE 聚合 → COUNT + SUM

-- 1. 订单流 datagen 源表
CREATE TABLE orders_source (
    order_id INT,
    user_id INT,
    order_time AS LOCALTIMESTAMP,
    WATERMARK FOR order_time AS order_time - INTERVAL '60' SECOND
) WITH (
    'connector' = 'datagen',
    'rows-per-second' = '10000',
    'fields.order_id.kind' = 'random',
    'fields.order_id.min' = '1',
    'fields.order_id.max' = '1000000',
    'fields.user_id.kind' = 'random',
    'fields.user_id.min' = '1',
    'fields.user_id.max' = '100000'
);

-- 2. 支付流 datagen 源表
CREATE TABLE payments_source (
    order_id INT,
    pay_amount DOUBLE,
    pay_time AS LOCALTIMESTAMP,
    WATERMARK FOR pay_time AS pay_time - INTERVAL '60' SECOND
) WITH (
    'connector' = 'datagen',
    'rows-per-second' = '10000',
    'fields.order_id.kind' = 'random',
    'fields.order_id.min' = '1',
    'fields.order_id.max' = '1000000',
    'fields.pay_amount.kind' = 'random',
    'fields.pay_amount.min' = '0',
    'fields.pay_amount.max' = '5000'
);

-- 3. Console 输出表
CREATE TABLE console_output (
    window_start VARCHAR,
    window_end VARCHAR,
    order_count BIGINT,
    total_pay DOUBLE
) WITH (
    'connector' = 'print'
);

-- 4. Interval Join + TUMBLE 窗口聚合
INSERT INTO console_output
SELECT
    CAST(TUMBLE_START(o.order_time, INTERVAL '10' MINUTE) AS VARCHAR) AS window_start,
    CAST(TUMBLE_END(o.order_time, INTERVAL '10' MINUTE) AS VARCHAR) AS window_end,
    COUNT(*) AS order_count,
    SUM(p.pay_amount) AS total_pay
FROM orders_source o
JOIN payments_source p
    ON o.order_id = p.order_id
WHERE
    p.pay_time BETWEEN o.order_time - INTERVAL '10' MINUTE
                   AND o.order_time + INTERVAL '10' MINUTE
GROUP BY
    TUMBLE(o.order_time, INTERVAL '10' MINUTE);