PERCENTILE_CONT是一种用于计算百分位数的函数,而group by是一种用于根据指定的列对数据进行分组的语句。这两个概念在BigQuery中都有重要的应用。 PERCENTILE_CONT: PERCENTILE_CONT函数用于计算指定百分位数的连续值。它接受两个参数:百分位数和数据集。返回值是与指定百分位数相对应的具体数值。
Please add support for the SQL standard functions percentile_cont & percentile_disc already supported by most major SQL databases https://issues.apache.org/jira/browse/HIVE-16255 https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-and-operators#percentile_cont ...
如果我理解正确，您可以聚合到一个数组中，然后取消嵌套：
Let's say you want to look at the percentiles for products. You can use Snowflake's percentile_cont() function to do that: select percentile_cont(0.25) within group(order by unit_price) over () as p25, percentile_cont(0.50) within group(order by unit_price) over () as p50, percent...
我在谷歌的BigQuery中有以下SQL查询: SELECT date, perc, 0.2) OVER(PARTITION BY sensor, date) ASpercentile20_day, 0.8) OVER(PARTITION BY sensor, date) ASpercentile80_day sensordata 浏览44提问于2019-02-08得票数 1 回答已采纳 1回答 Python3.65插入查询引发操作错误 ...