Datasets:
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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 | -- 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), ());
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