Question

我不认为SQL Pivot表可以解决我的问题，但现在这是我的最佳猜测解决方案。我不是SQL专家，所以我所有的选择都是经过研究

我使用的一个软件每天向Microsoft SQL发送一份报告，该报告中包含约35,000行数据，所有这些行都包含有关我使用的应用程序的不同统计信息。现在，虽然我不需要每一行的数据点，但也许我需要110数据行。

我当前获得的列在所附的屏幕截图中

Data_id
report_id
data_point_group_key
data_point
data_point_value

当前样本： +---------+-----------+----------------------+------------+-----------------+ | Data_id | report_id | data_point_group_key | data_point | data_point_value| +---------+-----------+----------------------+------------+-----------------+ | 1 | 517 | 111 | Table Name | Work_state | +---------+-----------+----------------------+------------+-----------------+ | 2 | 517 | 111 | # Rows | 3 | +---------+-----------+----------------------+------------+-----------------+ | 3 | 517 | 111 | Size | 100 | +---------+-----------+----------------------+------------+-----------------+ | 4 | 517 | 222 | Mode Name | New App | +---------+-----------+----------------------+------------+-----------------+ | 5 | 517 | 333 | Total Size | 5000000 | +---------+-----------+----------------------+------------+-----------------+ | 6 | 517 | 444 | Table Name | Offline Users | +---------+-----------+----------------------+------------+-----------------+ | 7 | 517 | 444 | # Rows | 100 | +---------+-----------+----------------------+------------+-----------------+ | 8 | 517 | 444 | Size | 500 | +---------+-----------+----------------------+------------+-----------------+ | 9 | 517 | 555 | URI | C:\File1 | +---------+-----------+----------------------+------------+-----------------+

data_id是每行不同的增量数字
reprot_id是将今天的报告与昨天的报告分开的
data_point_group_key是一组信息，如果这些行都与组号的顶部字段相关。
data_point是显示的数据类型
data_point_value是data_point所需的信息

我必须将所有这些数据移动到一个辅助工具中，该工具需要通过列方法而不是行方法来摄取数据。

我毫无疑问地开始输入110行，但是我正试图从长远来看使这一过程自动化。

我从此SQL命令开始进行转换，它不能完全正常工作，但它是一个开始我想

SELECT * FROM
(
SELECT [data_id],
       [report_id],
       [data_point],
       [data_point_value]
FROM dbo.tblReportData
)  AS SourceTable PIVOT(MAX([report_id]) FOR [data_point_value] IN([Default Time Zone],
                   [Version],
                   [File Path],
                   [# of Active Data Feeds],
                   [Log Path])) AS PivotTable;

Answer 1

您可以尝试将CASE WHEN与MAX 聚合函数结合使用来创建数据透视表。

TestDLL

CREATE TABLE tblReportData(
   Data_id INT,
   report_id INT,
   data_point_group_key INT,
   data_point VARCHAR(50),
   data_point_value VARCHAR(50)
);

INSERT INTO tblReportData VALUES ( 1,517 , 111 ,'Table Name','Work_state');
INSERT INTO tblReportData VALUES ( 2,517 , 111 ,'# Rows','3');
INSERT INTO tblReportData VALUES ( 3,517 , 111 ,'Size','100');
INSERT INTO tblReportData VALUES ( 4,517 , 222 ,'Mode Name','New App');
INSERT INTO tblReportData VALUES ( 5,517 , 333 ,'Total Size','5000000');
INSERT INTO tblReportData VALUES ( 6,517 , 444 ,'Table Name','Offline Users');
INSERT INTO tblReportData VALUES ( 7,517 , 444 ,'# Rows','100');
INSERT INTO tblReportData VALUES ( 8,517 , 444 ,'Size','500');
INSERT INTO tblReportData VALUES ( 9,517 , 555 ,'URI','C:\File1');

查询

SELECT Row_number() over(order by data_point_group_key) 'Data_id',
       report_id,
       MAX(CASE WHEN data_point = 'Table Name' THEN data_point_value END) as 'Table Name',
       MAX(CASE WHEN data_point = '# Rows' THEN data_point_value END), 
       MAX(CASE WHEN data_point = 'Size' THEN data_point_value END) as 'Size',
       MAX(CASE WHEN data_point = 'Mode Name' THEN data_point_value END) as 'Mode Name',
       MAX(CASE WHEN data_point = 'Total Size' THEN data_point_value END)as 'Total Size',
       MAX(CASE WHEN data_point = 'URI' THEN data_point_value END) as 'URI'
FROM tblReportData 
group by report_id,data_point_group_key

[结果] ：

| Data_id | report_id |    Table Name | # of Rows |   Size | Mode Name | Total Size |      URI |
|---------|-----------|---------------|-----------|--------|-----------|------------|----------|
|       1 |       517 |    Work_state |         3 |    100 |    (null) |     (null) |   (null) |
|       2 |       517 |        (null) |    (null) | (null) |   New App |     (null) |   (null) |
|       3 |       517 |        (null) |    (null) | (null) |    (null) |    5000000 |   (null) |
|       4 |       517 | Offline Users |       100 |    500 |    (null) |     (null) |   (null) |
|       5 |       517 |        (null) |    (null) | (null) |    (null) |     (null) | C:\File1 |

sqlfiddle

SQL数据透视表的奇怪用例

1 个答案: