Iva*_*van 3 sql google-bigquery hyperloglog
示例相关表架构:
+---------------------------+-------------------+
| activity_date - TIMESTAMP | user_id - STRING |
+---------------------------+-------------------+
| 2017-02-22 17:36:08 UTC | fake_id_i24385787 |
+---------------------------+-------------------+
| 2017-02-22 04:27:08 UTC | fake_id_234885747 |
+---------------------------+-------------------+
| 2017-02-22 08:36:08 UTC | fake_id_i24385787 |
+---------------------------+-------------------+
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我需要在滚动时间段(90 天)内对大型数据集的活跃不同用户进行计数,并且由于数据集的大小而遇到问题。
起初,我尝试使用窗口函数,类似于这里的答案。 /sf/answers/1930213211/
WITH
daily AS (
SELECT
DATE(activity_date) day,
user_id
FROM
`fake-table`)
SELECT
day,
SUM(APPROX_COUNT_DISTINCT(user_id)) OVER (ORDER BY day ROWS BETWEEN 89 PRECEDING AND CURRENT ROW) ninty_day_window_apprx
FROM
daily
GROUP BY
1
ORDER BY
1 DESC
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然而,这会导致每天获得不同数量的用户,然后将它们相加 - 但如果它们出现多次,则可以在窗口内复制不同的用户。因此,这并不是对 90 天内不同用户的真正准确衡量。
我尝试的下一件事是使用以下解决方案 /sf/answers/3336171331/ - 将每个窗口的所有不同 user_id 连接到一个数组,然后计算其中的不同。
WITH daily AS (
SELECT date(activity_date) day, STRING_AGG(DISTINCT user_id) users
FROM `fake-table`
GROUP BY day
), temp2 AS (
SELECT
day,
STRING_AGG(users) OVER(ORDER BY UNIX_DATE(day) RANGE BETWEEN 89 PRECEDING AND CURRENT ROW) users
FROM daily
)
SELECT day,
(SELECT APPROX_COUNT_DISTINCT(id) FROM UNNEST(SPLIT(users)) AS id) Unique90Days
FROM temp2
order by 1 desc
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然而,这很快就用完了任何大的内存。
接下来是使用 HLL 草图以更小的值来表示不同的 ID,因此内存将不是问题。我以为我的问题已解决,但在运行以下命令时出现错误:错误只是“不支持函数 MERGE_PARTIAL”。我也尝试过 MERGE 并得到同样的错误。它仅在使用窗口函数时发生。为每一天的价值创建草图工作正常。
我通读了 BigQuery 标准 SQL 文档,但没有看到任何关于 HLL_COUNT.MERGE_PARTIAL 和 HLL_COUNT.MERGE 的窗口函数。大概这应该将 90 个草图合并成一个 HLL 草图,代表 90 个原始草图之间的不同值?
WITH
daily AS (
SELECT
DATE(activity_date) day,
HLL_COUNT.INIT(user_id) sketch
FROM
`fake-table`
GROUP BY
1
ORDER BY
1 DESC),
rolling AS (
SELECT
day,
HLL_COUNT.MERGE_PARTIAL(sketch) OVER (ORDER BY UNIX_DATE(day) RANGE BETWEEN 89 PRECEDING AND CURRENT ROW) rolling_sketch
FROM daily)
SELECT
day,
HLL_COUNT.EXTRACT(rolling_sketch)
FROM
rolling
ORDER BY
1
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任何想法为什么会发生此错误或如何调整?
下面是 BigQuery 标准 SQL,使用窗口函数完全符合您的要求
#standardSQL
SELECT day,
(SELECT HLL_COUNT.MERGE(sketch) FROM UNNEST(rolling_sketch_arr) sketch) rolling_sketch
FROM (
SELECT day,
ARRAY_AGG(ids_sketch) OVER(ORDER BY UNIX_DATE(day) RANGE BETWEEN 89 PRECEDING AND CURRENT ROW) rolling_sketch_arr
FROM (
SELECT day, HLL_COUNT.INIT(id) ids_sketch
FROM `project.dataset.table`
GROUP BY day
)
)
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您可以使用 [totally] 虚拟数据进行测试和使用,如下例所示
#standardSQL
WITH `project.dataset.table` AS (
SELECT 1 id, DATE '2019-01-01' day UNION ALL
SELECT 2, '2019-01-01' UNION ALL
SELECT 3, '2019-01-01' UNION ALL
SELECT 1, '2019-01-02' UNION ALL
SELECT 4, '2019-01-02' UNION ALL
SELECT 2, '2019-01-03' UNION ALL
SELECT 3, '2019-01-03' UNION ALL
SELECT 4, '2019-01-03' UNION ALL
SELECT 5, '2019-01-03' UNION ALL
SELECT 1, '2019-01-04' UNION ALL
SELECT 4, '2019-01-04' UNION ALL
SELECT 2, '2019-01-05' UNION ALL
SELECT 3, '2019-01-05' UNION ALL
SELECT 5, '2019-01-05' UNION ALL
SELECT 6, '2019-01-05'
)
SELECT day,
(SELECT HLL_COUNT.MERGE(sketch) FROM UNNEST(rolling_sketch_arr) sketch) rolling_sketch
FROM (
SELECT day,
ARRAY_AGG(ids_sketch) OVER(ORDER BY UNIX_DATE(day) RANGE BETWEEN 2 PRECEDING AND CURRENT ROW) rolling_sketch_arr
FROM (
SELECT day, HLL_COUNT.INIT(id) ids_sketch
FROM `project.dataset.table`
GROUP BY day
)
)
-- ORDER BY day
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结果
Row day rolling_sketch
1 2019-01-01 3
2 2019-01-02 4
3 2019-01-03 5
4 2019-01-04 5
5 2019-01-05 6
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