Datasets:
File size: 1,483 Bytes
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 50 51 52 53 54 55 56 57 58 59 60 | -- flinksql_020: 窗口去重 (TVF Dedup)
-- TUMBLE TVF + ROW_NUMBER 按窗口去重，保留每个窗口每个用户的第一条
-- 1. 用户事件流 datagen 源表
CREATE TABLE event_source (
user_id INT,
event_id BIGINT,
event_type INT,
event_time AS LOCALTIMESTAMP,
WATERMARK FOR event_time AS event_time - INTERVAL '10' SECOND
) WITH (
'connector' = 'datagen',
'rows-per-second' = '5000',
'fields.user_id.kind' = 'random',
'fields.user_id.min' = '1',
'fields.user_id.max' = '10000',
'fields.event_id.kind' = 'random',
'fields.event_id.min' = '1',
'fields.event_id.max' = '1000000000',
'fields.event_type.kind' = 'random',
'fields.event_type.min' = '1',
'fields.event_type.max' = '8'
);
-- 2. Console 输出表
CREATE TABLE console_output (
window_start TIMESTAMP(3),
window_end TIMESTAMP(3),
user_id INT,
event_id BIGINT,
event_type INT
) WITH (
'connector' = 'print'
);
-- 3. TUMBLE TVF + ROW_NUMBER 窗口去重
INSERT INTO console_output
SELECT
window_start,
window_end,
user_id,
event_id,
event_type
FROM (
SELECT
window_start,
window_end,
user_id,
event_id,
event_type,
ROW_NUMBER() OVER (
PARTITION BY window_start, user_id
ORDER BY event_time ASC
) AS rn
FROM TABLE(
TUMBLE(TABLE event_source, DESCRIPTOR(event_time), INTERVAL '5' MINUTE)
)
) t
WHERE rn = 1;
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