Hack 52. Display Columns As Rows

Sometimes you have data coming into your system that is not normalized. You might be getting data from another database or it might simply be more convenient to enter the data in that format.

You may need to convert values stored within columns into separate rows. Suppose that you are reversing the procedure from "Display Rows As Columns" [Hack #51] (reversing this procedure is called denormalization because it takes the database out of one of the normal forms, which are guidelines for structuring databases). You have a table of results where each row has one student with three course grades but the structure you want has one student, one course, and one result per row.

The input data has the format shown in Table 7-8. Table 7-9 shows the structure you want.

Table 7-8. The gradesIn input table

student Java Database Algebra
Gao Cong 80 77 50
Dongyan Zhou 62 95 62

Table 7-9. The courseGrade output table

student course grade
Gao Cong Java 80
Gao Cong Database 77
Gao Cong Algebra 50
Dongyan Zhou Java 62
Dongyan Zhou Database 95
Dongyan Zhou Algebra 62

Every row of the gradesIn table must generate three rows of the output table. You can get this with an INSERT statement based on a UNION:

SELECT student, 'Java', Java FROM gradesIn
 UNION SELECT student, 'Database', Database FROM gradesIn
 UNION SELECT student, 'Algebra', Algebra FROM gradesIn;

The trick here is to line up the literal values such as 'Java' with the column names such as Java. The three-way UNION ensures that the input table is scanned three times, so the total number of records added will be three times the number of students in the input table.

7.4.1. Ungroup Data with Repeating Columns

Sometimes the denormalized data is fundamentally sequential, but it has been grouped into columns. Take the daily rainfall data shown in Table 7-10. A table is available with rainfall measurements for each day, grouped into seven days per row. To make querying easier, you might want a table that looks more like Table 7-11.

Table 7-10. Sequential data organized into columns: inRain

weekBeginning mon tues weds thur fri sat sun
14 Aug 06 10 11 0 0 16 22 28
21 Aug 06 5 5 0 10 18 26 25
...              

Table 7-11. Sequential data in a normalized table: outRain

dy rainfall
14 Aug 2006 10
15 Aug 2006 11
16 Aug 2006 0
...  
21 Aug 2006 5
...  

You can get this data into a normalized structure, but you must make sure that every row of the input generates seven rows of output:

mysql> INSERT INTO outRain(dy,rainfall)
 -> SELECT weekBeginning + 0, mon FROM inRain
 -> UNION SELECT weekBeginning + 1, tues FROM inRain
 -> UNION SELECT weekBeginning + 2, weds FROM inRain
 -> UNION SELECT weekBeginning + 3, thur FROM inRain
 -> UNION SELECT weekBeginning + 4, fri FROM inRain
 -> UNION SELECT weekBeginning + 5, sat FROM inRain
 -> UNION SELECT weekBeginning + 6, sun FROM inRain;
Query OK, 14 rows affected (0.00 sec)
Records: 14 Duplicates: 0 Warnings: 0

mysql> SELECT * FROM outRain;
+------------+----------+
| dy | rainfall |
+------------+----------+
| 2006-08-14 | 10 |
| 2006-08-21 | 5 |
| 2006-08-15 | 11 |
...
| 2006-08-20 | 28 |
| 2006-08-27 | 25 |
+------------+----------+
14 rows in set (0.00 sec)

In Oracle, you can also use the INSERT ALL statement. The expressions in the VALUES lists reference the results of the SELECT line:

INSERT ALL
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 0, mon)
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 1, tues)
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 2, weds)
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 3, thur)
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 4, fri)
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 5, sat)
 INTO outRain(dy,rainfall)
 VALUES (weekBeginning + 6, sun)
 SELECT weekBeginning,mon,tues,weds,thur,fri,sat,sun FROM inRain;


SQL Fundamentals

Joins, Unions, and Views

Text Handling

Date Handling

Number Crunching

Online Applications

Organizing Data

Storing Small Amounts of Data

Locking and Performance

Reporting

Users and Administration

Wider Access

Index

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SQL Hacks
SQL Hacks
ISBN: 0596527993
EAN: 2147483647
Year: 2004
Pages: 147
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