-- flinksql_006: 异常事件过滤 + 窗口 TopN
-- datagen 生成设备事件流 @ 80 rows/sec, event_type=3 过滤后 Tumble 1min Top-5

-- 1. 设备事件流 datagen 源表
CREATE TABLE device_source (
    device_id INT,
    event_type INT,
    province VARCHAR,
    event_time AS LOCALTIMESTAMP,
    WATERMARK FOR event_time AS event_time - INTERVAL '5' SECOND
) WITH (
    'connector' = 'datagen',
    'rows-per-second' = '80',
    'fields.event_type.kind' = 'random',
    'fields.event_type.min' = '1',
    'fields.event_type.max' = '10',
    'fields.province.kind' = 'random',
    'fields.province.length' = '4'
);

-- 2. Console 输出表
CREATE TABLE console_output (
    window_start TIMESTAMP,
    province VARCHAR,
    abnormal_cnt BIGINT,
    `rank` BIGINT
) WITH (
    'connector' = 'print'
);

-- 3. 过滤异常事件(event_type=3) → Tumble 窗口 → Top-5
INSERT INTO console_output
SELECT
    window_start,
    province,
    abnormal_cnt,
    `rank`
FROM (
    SELECT
        TUMBLE_START(event_time, INTERVAL '1' MINUTE) AS window_start,
        province,
        COUNT(*) AS abnormal_cnt,
        ROW_NUMBER() OVER (PARTITION BY TUMBLE_START(event_time, INTERVAL '1' MINUTE) ORDER BY COUNT(*) DESC) AS `rank`
    FROM device_source
    WHERE event_type = 3
    GROUP BY TUMBLE(event_time, INTERVAL '1' MINUTE), province
)
WHERE `rank` <= 5;