-- flinksql_016: 滚动窗口多维聚合 (GROUPING SETS) — TVF syntax
-- 生成 5000 行/秒的设备事件流

-- 1. 设备事件流 datagen 源表
CREATE TABLE event_source (
    os_id INT,
    device_id INT,
    city_id INT,
    event_time AS LOCALTIMESTAMP,
    WATERMARK FOR event_time AS event_time - INTERVAL '5' SECOND
) WITH (
    'connector' = 'datagen',
    'rows-per-second' = '5000',
    'fields.os_id.kind' = 'random',
    'fields.os_id.min' = '1',
    'fields.os_id.max' = '3',
    'fields.device_id.kind' = 'random',
    'fields.device_id.min' = '1',
    'fields.device_id.max' = '20',
    'fields.city_id.kind' = 'random',
    'fields.city_id.min' = '1',
    'fields.city_id.max' = '100'
);

-- 2. Console 输出表
CREATE TABLE console_output (
    window_start TIMESTAMP(3),
    os_id INT,
    device_id INT,
    city_id INT,
    event_cnt BIGINT
) WITH (
    'connector' = 'print'
);

-- 3. TUMBLE TVF 1min + GROUPING SETS 多维聚合
INSERT INTO console_output
SELECT
    window_start,
    os_id,
    device_id,
    city_id,
    COUNT(*) AS event_cnt
FROM TABLE(
    TUMBLE(TABLE event_source, DESCRIPTOR(event_time), INTERVAL '1' MINUTE)
)
GROUP BY window_start, window_end,
    GROUPING SETS ((os_id, device_id), (city_id), ());