如何使用 BigQuery 模拟数据透视表? [英] How to simulate a pivot table with BigQuery?
问题描述
我需要按列组织查询结果,就好像它是一个数据透视表一样.我该怎么做?
I need to organize the results of a query in columns, as if it was a pivot table. How can I do that?
推荐答案
2020 更新:fhoffa.x.pivot()
使用条件语句将查询结果组织成行和列.在下面的示例中,搜索以值Google"开头的大多数修订版维基百科文章的结果被组织到列中,如果修订计数满足各种条件,则会在这些列中显示.
Use conditional statements to organize the results of a query into rows and columns. In the example below, results from a search for most revised Wikipedia articles that start with the value 'Google' are organized into columns where the revision counts are displayed if they meet various criteria.
SELECT
page_title,
/* Populate these columns as True or False, depending on the condition */
IF(page_title CONTAINS 'search', INTEGER(total), 0) AS search,
IF(page_title CONTAINS 'Earth' OR page_title CONTAINS 'Maps', INTEGER(total), 0) AS geo,
FROM
/* Subselect to return top revised Wikipedia articles containing 'Google'
* followed by additional text.
*/
(SELECT
TOP(title, 5) as page_title,
COUNT(*) as total
FROM
[publicdata:samples.wikipedia]
WHERE
REGEXP_MATCH (title, r'^Google.+') AND wp_namespace = 0
);
结果:
+---------------+--------+------+
| page_title | search | geo |
+---------------+--------+------+
| Google search | 4261 | 0 |
| Google Earth | 0 | 3874 |
| Google Chrome | 0 | 0 |
| Google Maps | 0 | 2617 |
| Google bomb | 0 | 0 |
+---------------+--------+------+
一个类似的例子,不使用子查询:
A similar example, without using a subquery:
SELECT SensorType, DATE(DTimestamp), AVG(data) avg,
FROM [data-sensing-lab:io_sensor_data.moscone_io13]
WHERE DATE(DTimestamp) IN ('2013-05-16', '2013-05-17')
GROUP BY 1, 2
ORDER BY 2, 3 DESC;
生成一个 3 列表:传感器类型、日期和平均数据.旋转"并将日期作为列:
Generates a 3 column table: sensor type, date, and avg data. To "pivot" and have the dates as columns:
SELECT
SensorType,
AVG(IF(DATE(DTimestamp) = '2013-05-16', data, null)) d16,
AVG(IF(DATE(DTimestamp) = '2013-05-17', data, null)) d17
FROM [data-sensing-lab:io_sensor_data.moscone_io13]
GROUP BY 1
ORDER BY 2 DESC;
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