我有一个大的查询数据表，其中512个变量作为具有相当长名称的数组（x__x_arrVal_arrSlices_0__arrValues到arrSlices_511）。在每个数组中都有360个值。双工具无法以此形式计算数组。这就是我想将每个值作为输出的原因。
我现在使用的查询摘录是：
SELECT
timestamp, x_stArrayTag_sArrayName, x_stArrayTag_sComission,
1 as row,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(1)] AS f001,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(10)] AS f010,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(20)] AS f020,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(30)] AS f030,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(40)] AS f040,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(50)] AS f050,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(60)] AS f060,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(70)] AS f070,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(80)] AS f080,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(90)] AS f090,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(100)] AS f100,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(110)] AS f110,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(120)] AS f120,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(130)] AS f130,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(140)] AS f140,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(150)] AS f150,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(160)] AS f160,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(170)] AS f170,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(180)] AS f180,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(190)] AS f190,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(200)] AS f200,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(210)] AS f210,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(220)] AS f220,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(230)] AS f230,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(240)] AS f240,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(250)] AS f250,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(260)] AS f260,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(270)] AS f270,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(280)] AS f280,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(290)] as f290,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(300)] AS f300,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(310)] AS f310,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(320)] AS f320,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(330)] AS f330,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(340)] AS f340,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(350)] AS f350,
x__x_arrVal_arrSlices_1__arrValues[OFFSET(359)] AS f359
FROM
`project.table`
WHERE
_PARTITIONTIME >= "2017-01-01 00:00:00"
AND _PARTITIONTIME < "2018-02-16 00:00:00"
UNION ALL
遗憾的是，我得到的输出只是所有值的破裂。使用此查询获取所有512 * 360值是不可能的，因为如果我对所有切片使用此查询，则达到bigquery的限制。
是否可以重命名长名称并选择范围？
最好的问候 SCOTTI答案 0 :(得分：1)
使用UNNEST可以获得360行和512列。这是一个小例子：
WITH data AS (
SELECT
[1, 2, 3, 4] as a,
[2, 3, 4, 5] as b,
[3, 4, 5, 6] as c
)
SELECT v1, b[OFFSET(off)] as v2, c[OFFSET(off)] as v3
FROM data, unnest(a) as v1 WITH OFFSET off
输出：
v1 v2 v3
1 2 3
2 3 4
3 4 5
4 5 6
答案 1 :(得分：1)
考虑到你正在处理的一个混乱的桌子 - 在重组决定重要方面是实现该决定的查询的实用性
在您的具体情况下 - 我建议完全展平数据，如下所示（每行将转换为~180000行，每行代表原始行中一个数组的一个元素 - 切片字段将表示数组编号和pos将表示该数组中的元素位置） - 查询通用性足以处理切片和数组大小的任何数量/名称，同时结果灵活且通用，足以用于任何可想象的算法
#standardSQL
WITH `project.dataset.messytable` AS (
SELECT 1 id,
[ 1, 2, 3, 4, 5] x__x_arrVal_arrSlices_0,
[11, 12, 13, 14, 15] x__x_arrVal_arrSlices_1,
[21, 22, 23, 24, 25] x__x_arrVal_arrSlices_2 UNION ALL
SELECT 2 id,
[ 6, 7, 8, 9, 10] x__x_arrVal_arrSlices_0,
[16, 17, 18, 19, 20] x__x_arrVal_arrSlices_1,
[26, 27, 28, 29, 30] x__x_arrVal_arrSlices_2
)
SELECT
id,
slice,
pos,
value
FROM `project.dataset.messytable` t,
UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r'"x__x_arrVal_arrSlices_(\d+)":\[.*?\]')) slice WITH OFFSET x
JOIN UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r'"x__x_arrVal_arrSlices_\d+":\[(.*?)\]')) arr WITH OFFSET y
ON x = y,
UNNEST(SPLIT(arr)) value WITH OFFSET pos
你可以使用下面的虚拟例子来测试/玩它
Row id slice pos value
1 1 0 0 1
2 1 0 1 2
3 1 0 2 3
4 1 0 3 4
5 1 0 4 5
6 1 1 0 11
7 1 1 1 12
8 1 1 2 13
9 1 1 3 14
10 1 1 4 15
11 1 2 0 21
12 1 2 1 22
13 1 2 2 23
14 1 2 3 24
15 1 2 4 25
16 2 0 0 6
17 2 0 1 7
18 2 0 2 8
19 2 0 3 9
20 2 0 4 10
21 2 1 0 16
22 2 1 1 17
23 2 1 2 18
24 2 1 3 19
25 2 1 4 20
26 2 2 0 26
27 2 2 1 27
28 2 2 2 28
29 2 2 3 29
30 2 2 4 30
结果如下
$ids = [1, 2, 3, 4, 5, 6];