bifurcating the values basis bucket and count using MySQL - mysql

Question

I have below mentioned three tables.
Table1:
ID Ref_ID category_id Date
II-1 xrt-11-gt 1 2019-01-01 15:34:18
II-2 xtt-10-xt 1 2019-01-05 17:14:20
II-3 xyt-09-yu 2 2019-02-04 11:04:12
II-4 xet-12-ct 2 2019-02-01 12:33:14
Table2
Ref_ID2 Value
xrt-11-gt 150
xrt-11-gt 175
xrt-11-gt 165
xrt-11-gt 168
xtt-10-xt 200
xtt-10-xt 45
xyt-09-yu 34
xet-12-ct 78
Table3
ref type
1 Active
2 InActive
3 Hold
I have a query, like
select a.ID,a.Date,b.Value,c.type from Table1 a
left join Table2 b on a.Ref_ID=b.Ref_ID2
left join Table3 c on a.category_id=c.ref;
which return me below mentioned output.
ID Value Type Date
II-1 150 Active 2019-01-01 15:34:18
II-1 175 Active 2019-01-01 15:34:18
II-1 165 Active 2019-01-01 15:34:18
II-1 168 Active 2019-01-01 15:34:18
II-2 200 InActive 2019-01-05 17:14:20
II-2 45 InActive 2019-01-05 17:14:20
II-3 34 InActive 2019-02-04 11:04:12
II-4 78 InActive 2019-02-01 12:33:14
I need to convert the above output in the below mentioned format in MySQL itself.
Where, the 1-3 and 3-5 are the bifurcation of count of ID basis on the bucket it fall as per the Type.
Month Total Active 1-3 3-5 InActive 1-3 3-5 Hold 1-3 3-5
Jan-19 6 2 1 1 0 0 0 0 0 0
Feb-19 2 0 0 0 2 2 0 0 0 0

Answer 1

Is this what you are looking for:
SELECT
DATE_FORMAT(date, '%b-%y') month,
COUNT(*) total,
SUM(type = 'Active') active,
CASE WHEN SUM(type = 'Active') BETWEEN 1 AND 3 THEN SUM(type = 'Active') ELSE 0 END `1-3`,
CASE WHEN SUM(type = 'Active') BETWEEN 4 AND 5 THEN SUM(type = 'Active') ELSE 0 END `4-5`,
SUM(type = 'InActive') inactive,
CASE WHEN SUM(type = 'InActive') BETWEEN 1 AND 3 THEN SUM(type = 'InActive') ELSE 0 END `1-3`,
CASE WHEN SUM(type = 'InActive') BETWEEN 4 AND 5 THEN SUM(type = 'InActive') ELSE 0 END `4-5`,
SUM(type = 'Hold') hold,
CASE WHEN SUM(type = 'Hold') BETWEEN 1 AND 3 THEN SUM(type = 'Hold') ELSE 0 END `1-3`,
CASE WHEN SUM(type = 'Hold') BETWEEN 4 AND 5 THEN SUM(type = 'Hold') ELSE 0 END `4-5`
FROM
Table1 a
LEFT JOIN Table2 b on a.Ref_ID=b.Ref_ID2
LEFT JOIN Table3 c on a.category_id=c.ref
GROUP BY DATE_FORMAT(date, '%b-%y');
Note that this will not return exactly what you are showing in your expected output. Especially, there will be a few differences in the first record, that is showing aggregated data for January: total will be 6 for that month, with 4 active. But this is what I understood from your requirement.