I'd like to know how to unpivot Table_1
into Expected_Result_Table
:
Table1
-----------------------------------------
Id abc brt ccc ddq eee fff gga hxx
-----------------------------------------
12345 0 1 0 5 0 2 0 0
21321 0 0 0 0 0 0 0 0
33333 2 0 0 0 0 0 0 0
41414 0 0 0 0 5 0 0 1
55001 0 0 0 0 0 0 0 2
60000 0 0 0 0 0 0 0 0
77777 9 0 3 0 0 0 0 0
Expected_Result_Table
---------------------
Id Word Qty>0
---------------------
12345 brt 1
12345 ddq 5
12345 fff 2
33333 abc 2
41414 eee 5
41414 hxx 1
55001 hxx 2
77777 abc 9
77777 ccc 3
So, How to transpose columns in Table_1
resulting in Expected_Result_Table
, considering only values > 0?
In Excel, to convert any Columns to Rows, first select the column which we want to switch and copy the selected cells or columns. To proceed further, go to the cell where we want to paste the data, then from the Paste option, which is under the Home menu tab, select the Transpose option.
SET @sql = CONCAT('SELECT Meeting_id, ', @sql, ' FROM Meeting WHERE <condition> GROUP BY Meeting_id'); Similarly, you can also apply JOINS in your SQL query while you transpose rows to columns dynamically in MySQL. Here's an example of pivot table created using Ubiq.
MySQL does not have an UNPIVOT function, but you can convert your columns into rows using a UNION ALL
.
The basic syntax is:
select id, word, qty
from
(
select id, 'abc' word, abc qty
from yt
where abc > 0
union all
select id, 'brt', brt
from yt
where brt > 0
) d
order by id;
In your case, you state that you need a solution for dynamic columns. If that is the case, then you will need to use a prepared statement to generate dynamic SQL:
SET @sql = NULL;
SELECT
GROUP_CONCAT(DISTINCT
CONCAT(
'select id, ''',
c.column_name,
''' as word, ',
c.column_name,
' as qty
from yt
where ',
c.column_name,
' > 0'
) SEPARATOR ' UNION ALL '
) INTO @sql
FROM information_schema.columns c
where c.table_name = 'yt'
and c.column_name not in ('id')
order by c.ordinal_position;
SET @sql
= CONCAT('select id, word, qty
from
(', @sql, ') x order by id');
PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
See SQL Fiddle with Demo
You are basically unpivoting the data from columns into rows, for which you can use UNION ALL. The filters can be applied across the unpivoted subquery, or individually to the parts.
select id, Word, Qty from
(
select id, 'abc' Word, abc Qty from table1
union all
select id, 'brt', brt from table1
union all
select id, 'ccc', ccc from table1
union all
select id, 'ddq', ddq from table1
union all
select id, 'eee', eee from table1
union all
select id, 'fff', fff from table1
union all
select id, 'gga', gga from table1
union all
select id, 'hxx', hxx from table1
) x
where Qty > 0
order by id;
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