Reputation: 307
I have a table that looks like this:
ID | FIELD_NAME | VALUE
23 | sign_up | yes
23 | first_name | Fred
23 | street | Barber Lane
24 | sign_up | no
24 | first_name | Steve
24 | street | Camaro St.
25 | sign_up | yes
25 | first_name | Larry
25 | street | Huckleberry Ave
I want to run a query that will select unique ID's and the values as named columns so it would appear like so:
ID | SIGN_UP | FIRST_NAME | STREET |
23 | yes | Fred | Barber Lane |
24 | no | Steve | Camaro St. |
25 | yes | Larry | Huckleberry Ave. |
Any help would be much appreciated!!
Upvotes: 5
Views: 13918
Reputation: 77717
You could also try pivoting with the help of grouping and conditional aggregating:
SELECT
ID,
MAX(CASE FIELD_NAME WHEN 'sign_up' THEN VALUE END) AS SIGN_UP,
MAX(CASE FIELD_NAME WHEN 'first_name' THEN VALUE END) AS FIRST_NAME,
MAX(CASE FIELD_NAME WHEN 'street' THEN VALUE END) AS STREET
FROM atable
GROUP BY
ID
;
Upvotes: 5
Reputation: 61017
Adapted from another answer by me:
SELECT ids.ID AS ID,
sign_up.VALUE AS SIGN_UP,
first_name.VALUE AS FIRST_NAME,
street.VALUE AS STREET
FROM (SELECT DISTINCT ID FROM tableName) AS ids
LEFT JOIN tableName AS sign_up
ON (sign_up.ID = ids.ID AND
sign_up.FIELD_NAME = 'sign_up')
LEFT JOIN tableName AS first_name
ON (first_name.ID = ids.ID AND
first_name.FIELD_NAME = 'first_name')
LEFT JOIN tableName AS street
ON (street.ID = ids.ID AND
street.FIELD_NAME = 'street')
The left joins will ensure that missing values will result in NULL
cells, instead of an omission of the whole row. Not sure whether that is important in your application. If it is not, you can use an inner join and in particular get rid of the subquery to select all unique IDs. See my original answer from which I derived this.
Upvotes: 2
Reputation: 23135
You can use this simple solution:
SELECT DISTINCT
a.id,
b.value AS SIGN_UP,
c.value AS FIRST_NAME,
d.value AS STREET
FROM tbl a
LEFT JOIN tbl b ON a.id = b.id AND b.field_name = 'sign_up'
LEFT JOIN tbl c ON a.id = c.id AND c.field_name = 'first_name'
LEFT JOIN tbl d ON a.id = d.id AND d.field_name = 'street'
Just to be safe, I made the joins LEFT JOIN
's because I do not know if an id can have missing fields, in which case they will show up as NULL
in our derived columns.
Upvotes: 5
Reputation: 108500
One approach is to use a correlated subquery to return each field value as a column,
SELECT t.id
, (SELECT f1.value FROM mytable f1
WHERE f1.id = t.id AND f1.field_name = 'sign_up'
ORDER BY f1.value LIMIT 1
) AS SIGN_UP
, (SELECT f2.value FROM mytable f2
WHERE f2.id = t.id AND f2.field_name = 'first_name'
ORDER BY f2.value LIMIT 1
) AS FIRST_NAME
, (SELECT f3.value FROM mytable f3
WHERE f3.id = t.id AND f3.field_name = 'street'
ORDER BY f3.value LIMIT 1
) AS STREET
FROM (SELECT s.id
FROM mytable s
GROUP BY s.id
ORDER BY s.id
) t
This isn't the only way, but it's a workable approach, especially if you are concerned that you will get exactly four columns returned, and that they will be returned in a specific sequence.
Note that this approach works when a particular field_name is "missing" for a particular ID (it will return a NULL in place of a value). It also works if there are multiple occurrences of the same field_name for a particular ID. (This query will return only one of them, and disregard the other.)
This same result set can also be obtained with a query written like this:
SELECT t.id AS ID
, f1.sign_up AS SIGN_UP
, f2.first_name AS FIRST_NAME
, f3.street AS STREET
FROM (SELECT s.id
FROM mytable s
GROUP BY s.id
ORDER BY s.id
) t
LEFT
JOIN (SELECT s1.id
, MIN(s1.value) AS sign_up
FROM mytable s1
WHERE s1.field_name = 'sign_up'
AND s1.value IS NOT NULL
GROUP BY s1.id
) f1
ON f1.id = t.id
LEFT
JOIN (SELECT s2.id
, MIN(s2.value) AS first_name
FROM mytable s2
WHERE s2.field_name = 'first_name'
AND s2.value IS NOT NULL
GROUP BY s2.id
) f2
ON f2.id = t.id
LEFT
JOIN (SELECT s3.id
, MIN(s3.value) AS street
FROM mytable s3
WHERE s3.field_name = 'street'
AND s3.value IS NOT NULL
GROUP BY s3.id
) f3
ON f3.id = t.id
With other queries, ensure you are getting the desired behavior when a field_name
is "missing" for a given ID, or when there are duplicate field_name
for a given ID, or when there are additional field_name values in the table which you are not concerned with.
Upvotes: 0
Reputation: 82933
Am not sure there is a Pivot/Unpivot feature in MySQL. Try this:
SELECT a.ID,
c.FIELD_NAME AS SIGN_UP,
a.FIELD_NAME AS FIRST_NAME,
b.FIELD_NAME AS STREET
FROM <YOUR-TABLE> a LEFT JOIN <YOUR-TABLE> b
ON a.ID = b.ID
AND a.FIELD_NAME = 'first_name'
AND b.FIELD_NAME = 'street' LEFT JOIN <YOUR-TABLE> c
ON c.ID = a.ID
AND c.FIELD_NAME = 'sign_up'
Upvotes: 0