我有以下查询
SELECT
JSON_EXTRACT(json, '$.Weights') as weight
from
(select '{"Weights":{"blue":1.0,"purple":0.0,"yellow":1.0,"green":1.0}}' as json)
返回:
{ “蓝色”:1.0, “紫色”:0.0, “黄色”:1.0, “绿色”:1.0}
我想看看是否有办法总结所有颜色的值。返回的意思:
3.0
我一直在尝试使用拆分和不需要的功能而没有任何成功,有什么建议吗?感谢。
答案 0 :(得分:1)
以下是使用REGEXP_EXTRACT_ALL
的示例:
WITH T AS (
SELECT '{"Weights":{"blue":1.0,"purple":0.0,"yellow":1.0,"green":1.0}}' AS json
)
SELECT
(
SELECT SUM(CAST(val AS FLOAT64))
FROM UNNEST(
REGEXP_EXTRACT_ALL(
JSON_EXTRACT(json, '$.Weights'),
r':([^,}]+)')
) AS val
)
FROM T;
答案 1 :(得分:1)
为了探索其他选择 -
以下是BigQuery Standard SQL
第一个例子是为每一行提取key:value对
ViewDragHelper
这会给你以下结果
#standardSQL
WITH `project.dataset.yourTbale` AS (
SELECT 1 AS id, '{"Weights":{"blue":1.0,"purple":0.0,"yellow":1.0,"green":1.0}}' AS json
UNION ALL SELECT 2, '{"Weights":{"blue":1.0,"red":2.0,"yellow":1.0,"orange":3.0}}'
)
SELECT id,
REPLACE(SPLIT(pair, ':')[OFFSET (0)], '"', '') color,
SAFE_CAST(SPLIT(pair, ':')[OFFSET (1)] AS FLOAT64) value
FROM `project.dataset.yourTbale`,
UNNEST(SPLIT(REGEXP_REPLACE(JSON_EXTRACT(json, '$.Weights'), r'{|}', ''))) pair
所以现在很容易将上面的问题扩展到id color value
1 blue 1.0
1 purple 0.0
1 yellow 1.0
1 green 1.0
2 blue 1.0
2 red 2.0
2 yellow 1.0
2 orange 3.0
的原始问题,甚至可以通过对特定颜色进行过滤来扩展它 - 请参阅下面的示例
if there is a way to sum up all the values of the colors
结果如下(从calc中排除颜色=蓝色)
#standardSQL
WITH `project.dataset.yourTbale` AS (
SELECT 1 AS id, '{"Weights":{"blue":1.0,"purple":0.0,"yellow":1.0,"green":1.0}}' AS json
UNION ALL SELECT 2, '{"Weights":{"blue":1.0,"red":2.0,"yellow":1.0,"orange":3.0}}'
)
SELECT id,
SUM(SAFE_CAST(SPLIT(pair, ':')[OFFSET (1)] AS FLOAT64)) AS total
FROM `project.dataset.yourTbale`,
UNNEST(SPLIT(REGEXP_REPLACE(JSON_EXTRACT(json, '$.Weights'), r'{|}', ''))) pair
WHERE REPLACE(SPLIT(pair, ':')[OFFSET (0)], '"', '') != 'blue'
GROUP BY id