MySQL - Rows to Columns

I tried to search posts, but I only found solutions for SQL Server/Access. I need a solution in MySQL (5.X).

I have a table (called history) with 3 columns: hostid, itemname, itemvalue.
If I do a select (select * from history), it will return

   +--------+----------+-----------+
   | hostid | itemname | itemvalue |
   +--------+----------+-----------+
   |   1    |    A     |    10     |
   +--------+----------+-----------+
   |   1    |    B     |     3     |
   +--------+----------+-----------+
   |   2    |    A     |     9     |
   +--------+----------+-----------+
   |   2    |    C     |    40     |
   +--------+----------+-----------+

How do I query the database to return something like

   +--------+------+-----+-----+
   | hostid |   A  |  B  |  C  |
   +--------+------+-----+-----+
   |   1    |  10  |  3  |  0  |
   +--------+------+-----+-----+
   |   2    |   9  |  0  |  40 |
   +--------+------+-----+-----+

I'm going to add a somewhat longer and more detailed explanation of the steps to take to solve this problem. I apologize if it's too long.

---

I'll start out with the base you've given and use it to define a couple of terms that I'll use for the rest of this post. This will be the base table:

select * from history;

+--------+----------+-----------+
| hostid | itemname | itemvalue |
+--------+----------+-----------+
|      1 | A        |        10 |
|      1 | B        |         3 |
|      2 | A        |         9 |
|      2 | C        |        40 |
+--------+----------+-----------+

This will be our goal, the pretty pivot table:

select * from history_itemvalue_pivot;

+--------+------+------+------+
| hostid | A    | B    | C    |
+--------+------+------+------+
|      1 |   10 |    3 |    0 |
|      2 |    9 |    0 |   40 |
+--------+------+------+------+

Values in the history.hostid column will become y-values in the pivot table. Values in the history.itemname column will become x-values (for obvious reasons).

---

When I have to solve the problem of creating a pivot table, I tackle it using a three-step process (with an optional fourth step):

1. select the columns of interest, i.e. y-values and x-values
2. extend the base table with extra columns -- one for each x-value
3. group and aggregate the extended table -- one group for each y-value
4. (optional) prettify the aggregated table

Let's apply these steps to your problem and see what we get:

Step 1: select columns of interest. In the desired result, hostid provides the y-values and itemname provides the x-values.

Step 2: extend the base table with extra columns. We typically need one column per x-value. Recall that our x-value column is itemname:

create view history_extended as (
  select
    history.*,
    case when itemname = "A" then itemvalue end as A,
    case when itemname = "B" then itemvalue end as B,
    case when itemname = "C" then itemvalue end as C
  from history
);

select * from history_extended;

+--------+----------+-----------+------+------+------+
| hostid | itemname | itemvalue | A    | B    | C    |
+--------+----------+-----------+------+------+------+
|      1 | A        |        10 |   10 | NULL | NULL |
|      1 | B        |         3 | NULL |    3 | NULL |
|      2 | A        |         9 |    9 | NULL | NULL |
|      2 | C        |        40 | NULL | NULL |   40 |
+--------+----------+-----------+------+------+------+

Note that we didn't change the number of rows -- we just added extra columns. Also note the pattern of NULLs -- a row with itemname = "A" has a non-null value for new column A, and null values for the other new columns.

Step 3: group and aggregate the extended table. We need to group by hostid, since it provides the y-values:

create view history_itemvalue_pivot as (
  select
    hostid,
    sum(A) as A,
    sum(B) as B,
    sum(C) as C
  from history_extended
  group by hostid
);

select * from history_itemvalue_pivot;

+--------+------+------+------+
| hostid | A    | B    | C    |
+--------+------+------+------+
|      1 |   10 |    3 | NULL |
|      2 |    9 | NULL |   40 |
+--------+------+------+------+

(Note that we now have one row per y-value.) Okay, we're almost there! We just need to get rid of those ugly NULLs.

Step 4: prettify. We're just going to replace any null values with zeroes so the result set is nicer to look at:

create view history_itemvalue_pivot_pretty as (
  select 
    hostid, 
    coalesce(A, 0) as A, 
    coalesce(B, 0) as B, 
    coalesce(C, 0) as C 
  from history_itemvalue_pivot 
);

select * from history_itemvalue_pivot_pretty;

+--------+------+------+------+
| hostid | A    | B    | C    |
+--------+------+------+------+
|      1 |   10 |    3 |    0 |
|      2 |    9 |    0 |   40 |
+--------+------+------+------+

And we're done -- we've built a nice, pretty pivot table using MySQL.

---

Considerations when applying this procedure:

• what value to use in the extra columns. I used itemvalue in this example
• what "neutral" value to use in the extra columns. I used NULL, but it could also be 0 or "", depending on your exact situation
• what aggregate function to use when grouping. I used sum, but count and max are also often used (max is often used when building one-row "objects" that had been spread across many rows)
• using multiple columns for y-values. This solution isn't limited to using a single column for the y-values -- just plug the extra columns into the group by clause (and don't forget to select them)

Known limitations:

• this solution doesn't allow n columns in the pivot table -- each pivot column needs to be manually added when extending the base table. So for 5 or 10 x-values, this solution is nice. For 100, not so nice. There are some solutions with stored procedures generating a query, but they're ugly and difficult to get right. I currently don't know of a good way to solve this problem when the pivot table needs to have lots of columns.

SELECT 
    hostid, 
    sum( if( itemname = 'A', itemvalue, 0 ) ) AS A,  
    sum( if( itemname = 'B', itemvalue, 0 ) ) AS B, 
    sum( if( itemname = 'C', itemvalue, 0 ) ) AS C 
FROM 
    bob 
GROUP BY 
    hostid;

Another option,especially useful if you have many items you need to pivot is to let mysql build the query for you:

SELECT
  GROUP_CONCAT(DISTINCT
    CONCAT(
      'ifnull(SUM(case when itemname = ''',
      itemname,
      ''' then itemvalue end),0) AS `',
      itemname, '`'
    )
  ) INTO @sql
FROM
  history;
SET @sql = CONCAT('SELECT hostid, ', @sql, ' 
                  FROM history 
                   GROUP BY hostid');

PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

FIDDLE Added some extra values to see it working

GROUP_CONCAT has a default value of 1000 so if you have a really big query change this parameter before running it

SET SESSION group_concat_max_len = 1000000;

Test:

DROP TABLE IF EXISTS history;
CREATE TABLE history
(hostid INT,
itemname VARCHAR(5),
itemvalue INT);

INSERT INTO history VALUES(1,'A',10),(1,'B',3),(2,'A',9),
(2,'C',40),(2,'D',5),
(3,'A',14),(3,'B',67),(3,'D',8);

  hostid	A	  B	    C	   D
	1	  10	  3		0      0
	2	  9		  0	   40      5
	3	  14	 67		0      8

Taking advantage of Matt Fenwick's idea that helped me to solve the problem (a lot of thanks), let's reduce it to only one query:

select
    history.*,
    coalesce(sum(case when itemname = "A" then itemvalue end), 0) as A,
    coalesce(sum(case when itemname = "B" then itemvalue end), 0) as B,
    coalesce(sum(case when itemname = "C" then itemvalue end), 0) as C
from history
group by hostid

I edit Agung Sagita's answer from subquery to join. I'm not sure about how much difference between this 2 way, but just for another reference.

SELECT  hostid, T2.VALUE AS A, T3.VALUE AS B, T4.VALUE AS C
FROM TableTest AS T1
LEFT JOIN TableTest T2 ON T2.hostid=T1.hostid AND T2.ITEMNAME='A'
LEFT JOIN TableTest T3 ON T3.hostid=T1.hostid AND T3.ITEMNAME='B'
LEFT JOIN TableTest T4 ON T4.hostid=T1.hostid AND T4.ITEMNAME='C'

use subquery

SELECT 	hostid, 
	(SELECT VALUE FROM TableTest WHERE ITEMNAME='A' AND hostid = t1.hostid) AS A,
	(SELECT VALUE FROM TableTest WHERE ITEMNAME='B' AND hostid = t1.hostid) AS B,
	(SELECT VALUE FROM TableTest WHERE ITEMNAME='C' AND hostid = t1.hostid) AS C
FROM TableTest AS T1
GROUP BY hostid

but it will be a problem if sub query resulting more than a row, use further aggregate function in the subquery

If you could use MariaDB there is a very very easy solution.

Since MariaDB-10.02 there has been added a new storage engine called CONNECT that can help us to convert the results of another query or table into a pivot table, just like what you want: You can have a look at the docs.

First of all install the connect storage engine.

Now the pivot column of our table is itemname and the data for each item is located in itemvalue column, so we can have the result pivot table using this query:

create table pivot_table
engine=connect table_type=pivot tabname=history
option_list='PivotCol=itemname,FncCol=itemvalue';

Now we can select what we want from the pivot_table:

select * from pivot_table

More details here

My solution :

select h.hostid, sum(ifnull(h.A,0)) as A, sum(ifnull(h.B,0)) as B, sum(ifnull(h.C,0)) as  C from (
select
hostid,
case when itemName = 'A' then itemvalue end as A,
case when itemName = 'B' then itemvalue end as B,
case when itemName = 'C' then itemvalue end as C
  from history 
) h group by hostid

It produces the expected results in the submitted case.

I make that into Group By hostId then it will show only first row with values,
like:

A   B  C
1  10
2      3

I figure out one way to make my reports converting rows to columns almost dynamic using simple querys. You can see and test it [online here][1].

The number of columns of query is fixed but the values are dynamic and based on values of rows. You can build it So, I use one query to build the table header and another one to see the values:

SELECT distinct concat('<th>',itemname,'</th>') as column_name_table_header FROM history order by 1;

SELECT
     hostid
    ,(case when itemname = (select distinct itemname from history a order by 1 limit 0,1) then itemvalue else '' end) as col1
    ,(case when itemname = (select distinct itemname from history a order by 1 limit 1,1) then itemvalue else '' end) as col2
    ,(case when itemname = (select distinct itemname from history a order by 1 limit 2,1) then itemvalue else '' end) as col3
    ,(case when itemname = (select distinct itemname from history a order by 1 limit 3,1) then itemvalue else '' end) as col4
FROM history order by 1;

You can summarize it, too:

SELECT
     hostid
    ,sum(case when itemname = (select distinct itemname from history a order by 1 limit 0,1) then itemvalue end) as A
    ,sum(case when itemname = (select distinct itemname from history a order by 1 limit 1,1) then itemvalue end) as B
    ,sum(case when itemname = (select distinct itemname from history a order by 1 limit 2,1) then itemvalue end) as C
FROM history group by hostid order by 1;
+--------+------+------+------+
| hostid | A    | B    | C    |
+--------+------+------+------+
|      1 |   10 |    3 | NULL |
|      2 |    9 | NULL |   40 |
+--------+------+------+------+

Results of [RexTester][1]:

[![Results of RexTester][2]][2]

http://rextester.com/ZSWKS28923

For one real example of use, this report bellow show in columns the hours of departures arrivals of boat/bus with a visual schedule. You will see one additional column not used at the last col without confuse the visualization: [![sistema venda de passagens online e consumidor final e controle de frota - xsl tecnologia - xsl.com.br][3]][3] ** ticketing system to of sell ticket online and presential

[1]: http://rextester.com/VGAZV78217 "online" [2]: https://i.stack.imgur.com/Ic3tO.png [3]: https://i.stack.imgur.com/wHFXE.png

This isn't the exact answer you are looking for but it was a solution that i needed on my project and hope this helps someone. This will list 1 to n row items separated by commas. Group_Concat makes this possible in MySQL.

select
cemetery.cemetery_id as "Cemetery_ID",
GROUP_CONCAT(distinct(names.name)) as "Cemetery_Name",
cemetery.latitude as Latitude,
cemetery.longitude as Longitude,
c.Contact_Info,
d.Direction_Type,
d.Directions

	from cemetery
	left join cemetery_names on cemetery.cemetery_id = cemetery_names.cemetery_id 
	left join names on cemetery_names.name_id = names.name_id 
	left join cemetery_contact on cemetery.cemetery_id = cemetery_contact.cemetery_id 
	
	left join 
	(
		select 
			cemetery_contact.cemetery_id as cID,
			group_concat(contacts.name, char(32), phone.number) as Contact_Info
				
				from cemetery_contact
				left join contacts on cemetery_contact.contact_id = contacts.contact_id 
				left join phone on cemetery_contact.contact_id = phone.contact_id 
				
			group by cID
	)
	as c on c.cID = cemetery.cemetery_id


	left join
	(
		select 
			cemetery_id as dID, 
			group_concat(direction_type.direction_type) as Direction_Type,
			group_concat(directions.value , char(13), char(9)) as Directions

				from directions
				left join direction_type on directions.type = direction_type.direction_type_id

			group by dID


	)
	as d on d.dID  = cemetery.cemetery_id
 
group by Cemetery_ID

This cemetery has two common names so the names are listed in different rows connected by a single id but two name ids and the query produces something like this

    CemeteryID     Cemetery_Name             Latitude
    1                    Appleton,Sulpher Springs   35.4276242832293

You can use a couple of LEFT JOINs. Kindly use this code

SELECT t.hostid,
       COALESCE(t1.itemvalue, 0) A,
       COALESCE(t2.itemvalue, 0) B,
       COALESCE(t3.itemvalue, 0) C 
FROM history t 
LEFT JOIN history t1 
    ON t1.hostid = t.hostid 
    AND t1.itemname = 'A' 
LEFT JOIN history t2 
    ON t2.hostid = t.hostid 
    AND t2.itemname = 'B' 
LEFT JOIN history t3 
    ON t3.hostid = t.hostid 
    AND t3.itemname = 'C' 
GROUP BY t.hostid

I'm sorry to say this and maybe I'm not solving your problem exactly but PostgreSQL is 10 years older than MySQL and is extremely advanced compared to MySQL and there's many ways to achieve this easily. Install PostgreSQL and execute this query

CREATE EXTENSION tablefunc;

then voila! And here's extensive documentation: PostgreSQL: Documentation: 9.1: tablefunc or this query

CREATE EXTENSION hstore;

then again voila! PostgreSQL: Documentation: 9.0: hstore