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| 1 | +# Unpivot multiple columns in Snowflake |
| 2 | + |
| 3 | +Suppose you have a Wide Table format Performance Ratings data as following: |
| 4 | + |
| 5 | +| NAME | ACTING_RATING | ACTING_COMMENTS | COMEDY_RATING | COMEDY_COMMENTS | MUSICAL_PERFORMANCE_RATING | MUSICAL_PERFORMANCE_COMMENTS | |
| 6 | +|--------------|---------------|-----------------|---------------|-----------------|----------------------------|------------------------------| |
| 7 | +| Groucho Marx | 4 | Awesome | 3 | Super | 4 | Really good | |
| 8 | +| Harpo Marx | 4 | Awesome | 4 | Awesome | 4 | | |
| 9 | +| Groucho Marx | 4 | | 3 | Thumbs up | 4 | Nice | |
| 10 | +| Harpo Marx | 4 | Best Acting | 4 | Nice | 4 | Best performance Award! | |
| 11 | + |
| 12 | +and you need to convert it to a Long Table Format as following |
| 13 | + |
| 14 | +| NAM | SKILL | SKILL_RATING | COMMENTS | SKILL_COMMENTS | SPLIT(SKILL, '-')[1] | |
| 15 | +|--------------|----------------------------|--------------|-------------------------|------------------------------|----------------------| |
| 16 | +| Groucho Marx | ACTING_RATING | 4 | Awesome | ACTING_COMMENTS | | |
| 17 | +| Groucho Marx | COMEDY_RATING | 3 | Super | COMEDY_COMMENTS | | |
| 18 | +| Groucho Marx | MUSICAL_PERFORMANCE_RATING | 4 | Really good | MUSICAL_PERFORMANCE_COMMENTS | | |
| 19 | +| Harpo Marx | ACTING_RATING | 4 | Awesome | ACTING_COMMENTS | | |
| 20 | +| Harpo Marx | COMEDY_RATING | 4 | Awesome | COMEDY_COMMENTS | | |
| 21 | +| Harpo Marx | MUSICAL_PERFORMANCE_RATING | 4 | | MUSICAL_PERFORMANCE_COMMENTS | | |
| 22 | +| Groucho Marx | ACTING_RATING | 4 | | ACTING_COMMENTS | | |
| 23 | +| Groucho Marx | COMEDY_RATING | 3 | Thumbs up | COMEDY_COMMENTS | | |
| 24 | +| Groucho Marx | MUSICAL_PERFORMANCE_RATING | 4 | Nice | MUSICAL_PERFORMANCE_COMMENTS | | |
| 25 | +| Harpo Marx | ACTING_RATING | 4 | Best Acting | ACTING_COMMENTS | | |
| 26 | +| Harpo Marx | COMEDY_RATING | 4 | Nice | COMEDY_COMMENTS | | |
| 27 | +| Harpo Marx | MUSICAL_PERFORMANCE_RATING | 4 | Best performance Award! | MUSICAL_PERFORMANCE_COMMENTS | | |
| 28 | + |
| 29 | +This can be achieve by using the UNPIVOT function or the UNION ALL in Snowflake |
| 30 | + |
| 31 | +## Using UNPIVOT |
| 32 | + |
| 33 | +```sql |
| 34 | +select |
| 35 | + name |
| 36 | + , skill |
| 37 | + , skill_rating |
| 38 | + , comments |
| 39 | + , skill_comments |
| 40 | +from performer_ratings |
| 41 | + unpivot include nulls (skill_rating for skill in (acting_rating, comedy_rating, musical_performance_rating)) |
| 42 | + unpivot include nulls (comments for skill_comments in (acting_comments,comedy_comments, musical_performance_comments)) |
| 43 | +--Following where clause is added to filter the unmatched rows |
| 44 | +where split(skill, '_')[0] = split(skill_comments, '_')[0]; |
| 45 | + |
| 46 | +``` |
| 47 | + |
| 48 | + |
| 49 | +## Using UNION ALL |
| 50 | + |
| 51 | +```sql |
| 52 | + |
| 53 | +select NAME |
| 54 | + , 'ACTING_RATING' as SKILL, ACTING_RATING as SKILL_RATING, ACTING_COMMENTS as SKILL_COMMENTS |
| 55 | +from performer_ratings |
| 56 | +union all |
| 57 | +select NAME |
| 58 | + , 'COMEDY_RATING', COMEDY_RATING, COMEDY_COMMENTS |
| 59 | +from performer_ratings |
| 60 | +union all |
| 61 | +select NAME |
| 62 | + , 'MUSICAL_PERFORMANCE_RATING', MUSICAL_PERFORMANCE_RATING, MUSICAL_PERFORMANCE_COMMENTS |
| 63 | +from performer_ratings |
| 64 | +; |
| 65 | +``` |
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