I have 3 tables that I want to merge, each with a different column of interest. I also have an id variable that I want to do separate merges “within” id. The idea is that I want to merge X, Y, and Z by date (within ID), and have missing values if that date does not exist for a particular variable.
Table X:
ID Date X
1 2012-01-01 101
1 2012-01-02 102
1 2012-01-03 103
1 2012-01-04 104
1 2012-01-05 105
2 2012-01-01 150
Table Y:
ID Date Y
1 2012-01-01 301
1 2012-01-02 302
1 2012-01-03 303
1 2012-01-11 311
2 2012-01-01 350
Table Z:
ID Date Z
1 2012-01-01 401
1 2012-01-03 403
1 2012-01-04 404
1 2012-01-11 411
1 2012-01-21 421
2 2012-01-01 450
Desired Result Table:
ID Date X Y Z
1 2012-01-01 101 301 401
1 2012-01-02 102 302 .
1 2012-01-03 103 303 403
1 2012-01-04 104 . 404
1 2012-01-05 105 . .
1 2012-01-11 . 311 411
1 2012-01-21 . . 421
2 2012-01-01 150 350 450
Any ideas how to write this SQL statement? I’ve tried messing around with “full joins” and where statements for cross products, but I keep getting duplicate values for some of my ID-date combinations, or sometimes no ID.
Any help would be appreciated.
Joins can be tricky things. My usual approach is to form the set of Keys first, and then use those keys to get what I want.