在BigQuery中,array_agg是一种聚合函数,用于将多个行中的值聚合为一个数组。取消嵌套是指在使用array_agg函数时,将结果展开为扁平的数组,而不是嵌套的数组结构。 array_agg的取消嵌套可以通过使用UNNEST函数来实现。UNNEST函数将嵌套的数组展开为扁平的结果集。通过将array_agg函数的结果作为UNNEST函数的输入,可以取消...
BigQuery ARRAY_AGG(结构)是一种在BigQuery中使用的聚合函数,用于将相同列值的行合并为一个数组。它可以根据指定的列值将行拆分为多个数组。 具体来说,ARRAY_AGG(结构)函数将指定的列值作为输入,并将具有相同列值的行合并为一个数组。这个数组可以包含任意数量的元素,每个元素都是一个结构体,包含了原始行中的其他...
The ARRAY_REVERSE function in BigQuery is a simple yet powerful tool for reversing the order of elements in an array. It can be useful when you need toinvert data sequences for analysis, such as reversing time series data or the order of operations in a process. The ability to reverse a...
您不需要ARRAY_AGG(): SELECT t.* FROM (SELECT User_ID, (case when time BETWEEN '04:00:00' AND '12:00:00' then 'morning' when time < '04:00:00' OR time > '20:00:00' then 'night' end) AS part_of_day , COUNT(*), ROW_NUMBER() OVER (PARTITION BY User_ID ORDER BY COUNT...
ARRAY<STRUCT>,您可以按结构体字段之一进行排序: SELECT col1, col2, ARRAY(SELECT x FROM UNNEST(arr) AS x ORDER BY a) AS arr FROM MyTable; 4投票 如果数组是使用 group by 子句聚合后获得的,则查询看起来像这样: SELECT ARRAY_AGG(distinct col order by col) FROM table GROUP BY group_col...
Array Functions:Manage arrays with functions like ARRAY_AGG, which aggregates data into arrays, and UNNEST, which flattens arrays for easier data processing. Aggregate Functions:Calculate multiple rows of data, such as SUM, COUNT, and AVG, to generate summary statistics. ...
ARRAY_AGG(STRUCT(numerical_feature AS name, ROUND(feature_value,1) AS value) ORDER BY centroid_id) AS cluster FROM ML.CENTROIDS(MODEL demos_eu.london_station_clusters) GROUP BY centroid_id ) SELECT CONCAT('Cluster#', CAST(centroid_id AS STRING)) AS centroid, ...
IGNORE NULLS在函数中使用ARRAY_AGG不起作用 - 有没有办法从结果数组中取出这些空行? 我的桌子看起来像这样: 我希望我的输出看起来像这样,但排除STRUCTs 中的空值: 如果标签、语言或 dtk 没有值,我仍然想包含该行,但使用空白数组 - 这意味着我无法预过滤空值,因为这将导致行被排除。 我当前用于获取此输出的...
11 UNION ALL SELECT 10, 2, 13 UNION ALL SELECT 11, 2, 14 UNION ALL SELECT 12, 2, 19 UNION ALL SELECT 13, 3, 19 ), last3 AS ( SELECT id, ARRAY_AGG(value ORDER BY bigid DESC LIMIT 3) as values FROM t0 GROUP BY id ) SELECT id, (SELECT AVG(x) FROM UNNEST(values) x) AS...
SELECT ARRAY_AGG(elem) OVER (ROWS BETWEEN 2 PRECEDING AND 0 FOLLOWING) AS tuple FROM single ) SELECT * FROM tuples WHERE ARRAY_LENGTH(tuple) >= 3 但问题是,它也返回了一些不需要的行,i.e.,即位于foo表的原始行之间的行。 tuple ['a', 'b', 'c'] ...