bry*_*yan 5 mysql gaps-and-islands google-bigquery
现在我只知道用户工作了多少天。我正在尝试将此查询更改为最连续的工作天数。
其中u12345为4u1 。2
这可以通过 BigQuery 语句来实现吗?
编辑我对以下查询有点接近,但我的u1得到 3 而不是 2。
SELECT MIN(e.timestamp) as date_created, e.uid, COUNT(e.uid) + 1 AS streak
FROM OnSite e
LEFT JOIN OnSite ee
ON e.uid = ee.uid
AND DATE(e.timestamp) = DATE(DATE_ADD(ee.timestamp, INTERVAL -1 DAY))
WHERE ee.uid IS NOT NULL
GROUP BY e.uid;
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架构(MySQL v5.7)
CREATE TABLE OnSite
(`uid` varchar(55), `worksite_id` varchar(55), `timestamp` datetime)
;
INSERT INTO OnSite
(`uid`, `worksite_id`, `timestamp`)
VALUES
("u12345", "worksite_1", '2019-01-01'),
("u12345", "worksite_1", '2019-01-02'),
("u12345", "worksite_1", '2019-01-03'),
("u12345", "worksite_1", '2019-01-04'),
("u12345", "worksite_1", '2019-01-06'),
("u1", "worksite_1", '2019-01-01'),
("u1", "worksite_1", '2019-01-02'),
("u1", "worksite_1", '2019-01-05'),
("u1", "worksite_1", '2019-01-06')
;
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查询#1
SELECT uid, COUNT(DISTINCT timestamp) Total
FROM OnSite
GROUP BY uid;
| uid | Total |
| ------ | ----- |
| u1 | 4 |
| u12345 | 5 |
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以下是 BigQuery 标准 SQL
如果您对同一工作站点上用户的最大连续天数感兴趣:
#standardSQL
SELECT uid, MAX(consecuitive_days) max_consecuitive_days
FROM (
SELECT uid, grp, COUNT(1) consecuitive_days
FROM (
SELECT uid,
COUNTIF(step > 1) OVER(PARTITION BY uid, worksite_id ORDER BY ts) grp
FROM (
SELECT uid, worksite_id, ts,
DATE_DIFF(ts, LAG(ts) OVER(PARTITION BY uid, worksite_id ORDER BY ts), DAY) step
FROM `project.dataset.table`
)
) GROUP BY uid, grp
) GROUP BY uid
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如果工作地点并不重要并且您只是寻找最大连续天数:
#standardSQL
SELECT uid, MAX(consecuitive_days) max_consecuitive_days
FROM (
SELECT uid, grp, COUNT(1) consecuitive_days
FROM (
SELECT uid,
COUNTIF(step > 1) OVER(PARTITION BY uid ORDER BY ts) grp
FROM (
SELECT uid, ts,
DATE_DIFF(ts, LAG(ts) OVER(PARTITION BY uid ORDER BY ts), DAY) step
FROM `project.dataset.table`
)
) GROUP BY uid, grp
) GROUP BY uid
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您可以使用您的问题中的示例数据来测试、播放上述任何内容,如下例所示
#standardSQL
WITH `project.dataset.table` AS (
SELECT 'u12345' uid, 'worksite_1' worksite_id, DATE '2019-01-01' ts UNION ALL
SELECT 'u12345', 'worksite_1', '2019-01-02' UNION ALL
SELECT 'u12345', 'worksite_1', '2019-01-03' UNION ALL
SELECT 'u12345', 'worksite_1', '2019-01-04' UNION ALL
SELECT 'u12345', 'worksite_1', '2019-01-06' UNION ALL
SELECT 'u1', 'worksite_1', '2019-01-01' UNION ALL
SELECT 'u1', 'worksite_1', '2019-01-02' UNION ALL
SELECT 'u1', 'worksite_1', '2019-01-05' UNION ALL
SELECT 'u1', 'worksite_1', '2019-01-06'
)
SELECT uid, MAX(consecuitive_days) max_consecuitive_days
FROM (
SELECT uid, grp, COUNT(1) consecuitive_days
FROM (
SELECT uid,
COUNTIF(step > 1) OVER(PARTITION BY uid ORDER BY ts) grp
FROM (
SELECT uid, ts,
DATE_DIFF(ts, LAG(ts) OVER(PARTITION BY uid ORDER BY ts), DAY) step
FROM `project.dataset.table`
)
) GROUP BY uid, grp
) GROUP BY uid
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结果:
Row uid max_consecuitive_days
1 u12345 4
2 u1 2
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