Row-to-Column Transposition: Multiple Tables Involved
【Question】
There are 3 tables: Student table, OriginalScore table and RetakeScore table:
Student table
stu_id stu_name class_id
1 Tom 1-1
2 Lee 1-1
3 Bob 1-2
OriginalScore table
stu_id subject score
1 java 77
1 c++ 80
2 java 67
2 c++ 58
3 java 56
3 c++ 85
RetakeScore table
stu_id subject score
2 c++ 78
3 java 82
Here’s the table I want after querying the three tables:
stu_id stu_name java_score c++_score Total score java_RetakeScore c++_RetakeScore
1 Tom 77 80 156
2 Lee 67 58 125 78
3 Bob 56 85 141 82
Is there anyone who can tell me how to do this in SQL? Thanks.
【Answer】
This is dynamic row-to-column transposition. To do it in SQL, you need to dynamically generate a query. That’s a hassle. But it’s easy to handle this in SPL:
A |
B |
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1 |
$select t1.stu_id stu_id,t1.stu_name stu_name,t2.subject subject,t2.score score1,t3.score score2 from Student.txt t1 left join OriginalScore.txt t2 on t1.stu_id=t2.stu_id left join RetakeScore.txt t3 on t1.stu_id=t3.stu_id and t2.subject=t3.subject order by t1.stu_id,t2.subject |
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2 |
=A1.group(stu_id) |
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3 |
=A1.group(subject) |
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4 |
=create(stu_id,stu_name,${(A3.(~.subject+"_score")|"scores(Total score)"|A3.(~.subject+"RetakeScore")).concat@c()}) |
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5 |
for A2 |
>A4.record([A5.stu_id,A5.stu_name]|A3.(~(#A5).score1)|A5.sum(score1)|A3.(~(#A5).score2)) |
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A1: 3-table association and data retrieval. A left join is required to make sure that the Student table is wholly retained;
A2: Group A1’s data by stu_id;
A3: Group A1’s data by subject;
A4: Create a new table sequence to hold the final result set;
A5-B5: Loop through each stu_id group to dynamically add the resulting records according to the subject group. Here’s A4’s final result:
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