I have a table that shows the entry and exit of items into the warehouse. The Camera 1 and Camera 2 document the entry time and exit time respectively of that item. The cameras then classify the item as it enters and leaves the checkpoint with the help of lasers. Eg: Big box: Class 5, Medium Box: Class 3, Small Box: Class 2.
Sometimes, the cameras classification doesn't match each other. Eg: Classification at entry can be Medium box and on exit can be Small box.
I need to find the number of transactions where the class didn't match for the same TransactionDetail
and then a percentage of those class mismatches against all the transaction for a certain time range.
My table looks somewhat like this:
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| AVDetailID | TransDetailID | AVClassID | CamID | CreatedDate |
---------------------------------------------------------------------------
| 20101522 | 54125478 | 5 | 1 | 2017-05-08 10:15:01:560|
| 20101523 | 54125478 | 5 | 2 | 2017-05-08 10:15:01:620|
| 20101524 | 54125479 | 3 | 1 | 2017-05-08 10:15:03:120|
| 20101525 | 54125479 | 2 | 2 | 2017-05-08 10:15:03:860|
| 20101526 | 54125480 | 4 | 1 | 2017-05-08 10:15:06:330|
| 20101527 | 54125480 | 4 | 2 | 2017-05-08 10:15:06:850|
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So, in the above case the class changes from 3 to 2 in record 3 and 4. That is one transaction where the class changed. I need to get a percentage of all transactions that where the class changed between each cameras.
The code I tried so far, unsuccessfully is:
SELECT
COUNT(TransDetailId)
FROM
[AVTransDetail]
WHERE
((SELECT AVCClassId WHERE CamId = 1) <> (SELECT AVCClassId WHERE DetectionZoneId = 2))
AND CreatedDate >= '2017-04-01'
AND CreatedDAte <= '2017-04-07'
GROUP BY
TransDetailId