我有一个看起来像这样的表:
+----+------+------+------+------+------+
| id | col1 | col2 | col3 | col4 | col5 |
+----+------+------+------+------+------+
| a | 1 | null | null | null | null |
| b | 1 | 2 | 3 | 4 | null |
| c | 1 | 2 | 3 | 4 | 5 |
| d | 2 | 1 | 7 | null | 4 |
+----+------+------+------+------+------+
我想创建一个汇总表,其中每个ID都需要一个数组,该数组包含所有其他列中的非null 值。输出应如下所示:
+-----+-------------+
| id | agg_col |
+-----+-------------+
| a | [1] |
| b | [1,2,3,4] |
| c | [1,2,3,4,5] |
| d | [2,1,7,4] |
+-----+-------------+
是否可以使用bigquery标准sql生成输出?
答案 0 :(得分:1)
以下不是超级通用的解决方案,但适用于您提供的特定示例-id用字母数字表示(不是以数字开头),其余的列是数字-整数
#standardSQL
SELECT id,
ARRAY(SELECT * FROM UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r':(\d*)')) col WHERE col != '') AS agg_col_as_array,
CONCAT('[', ARRAY_TO_STRING(ARRAY(SELECT * FROM UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r':(\d*)')) col WHERE col != ''), ','), ']') AS agg_col_as_string
FROM `project.dataset.table` t
您可以使用以下问题中的示例数据来测试,操作以上内容
#standardSQL
WITH `project.dataset.table` AS (
SELECT 'a' id, 1 col1, NULL col2, NULL col3, NULL col4, NULL col5 UNION ALL
SELECT 'b', 1, 2, 3, 4, NULL UNION ALL
SELECT 'c', 1, 2, 3, 4, 5 UNION ALL
SELECT 'd', 2, 1, 7, NULL, 4
)
SELECT id,
ARRAY(SELECT * FROM UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r':(\d*)')) col WHERE col != '') AS agg_col_as_array,
CONCAT('[', ARRAY_TO_STRING(ARRAY(SELECT * FROM UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r':(\d*)')) col WHERE col != ''), ','), ']') AS agg_col_as_string
FROM `project.dataset.table` t
-- ORDER BY id
结果为
Row id agg_col_as_array agg_col_as_string
1 a 1 [1]
2 b 1 [1,2,3,4]
2
3
4
3 c 1 [1,2,3,4,5]
2
3
4
5
4 d 2 [2,1,7,4]
1
7
4
您认为可以通过提及特定的列然后将它们绑定到数组中来做到这一点吗?
当然,这是可行的-见下文
#standardSQL
WITH `project.dataset.table` AS (
SELECT 'a' id, 1 col1, NULL col2, NULL col3, NULL col4, NULL col5 UNION ALL
SELECT 'b', 1, 2, 3, 4, NULL UNION ALL
SELECT 'c', 1, 2, 3, 4, 5 UNION ALL
SELECT 'd', 2, 1, 7, NULL, 4
)
SELECT id,
ARRAY(
SELECT col
FROM UNNEST([col1, col2, col3, col4, col5]) col
WHERE NOT col IS NULL
) AS agg_col_as_array,
CONCAT('[', ARRAY_TO_STRING(
ARRAY(
SELECT CAST(col AS STRING)
FROM UNNEST([col1, col2, col3, col4, col5]) col
WHERE NOT col IS NULL
), ','), ']') AS agg_col_as_string
FROM `project.dataset.table` t
-- ORDER BY id
但是 ...这并不是您的最佳选择,因为您需要针对各种用途分别管理和调整列的数量和名称
以下解决方案是我原始答案的调整版本,以解决您的最新评论-Actually the sample was too simple. Both of my id and other columns have alphanumeric and special characters.
#standardSQL
WITH `project.dataset.table` AS (
SELECT 'a' id, 1 col1, NULL col2, NULL col3, NULL col4, NULL col5 UNION ALL
SELECT 'b', 1, 2, 3, 4, NULL UNION ALL
SELECT 'c', 1, 2, 3, 4, 5 UNION ALL
SELECT 'd', 2, 1, 7, NULL, 4
)
SELECT id,
ARRAY(
SELECT col
FROM UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r':(.*?)(?:,|})')) col WITH OFFSET
WHERE col != 'null' AND OFFSET > 0
) AS agg_col_as_array,
CONCAT('[', ARRAY_TO_STRING(
ARRAY(
SELECT col
FROM UNNEST(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r':(.*?)(?:,|})')) col WITH OFFSET
WHERE col != 'null' AND OFFSET > 0
), ','), ']') AS agg_col_as_string
FROM `project.dataset.table` t
-- ORDER BY id
两者的结果与以前相同
Row id agg_col_as_array agg_col_as_string
1 a 1 [1]
2 b 1 [1,2,3,4]
2
3
4
3 c 1 [1,2,3,4,5]
2
3
4
5
4 d 2 [2,1,7,4]
1
7
4