# Query11
Analysis generated on: 4/2/2025 10:08:41 AM
---
## SQL Statement
```sql
SELECT temp2.PartNumber, temp2.PN, temp2.ActualWt, [RMSFILES#_PSNWP1A0].NETWT, temp2.GrossWt, [RMSFILES#_PSNWP1A0].GRSWT, [RMSFILES#_PSNWP1A0].[MATL#], [RMSFILES#_IEMUP1A0].USAGE
FROM (temp2 LEFT JOIN [RMSFILES#_PSNWP1A0] ON temp2.PN = [RMSFILES#_PSNWP1A0].PRDNO) LEFT JOIN [RMSFILES#_IEMUP1A0] ON temp2.PN = [RMSFILES#_IEMUP1A0].PRDNO
WHERE (((Abs([ActualWt]-[NETWT]))>0.0001)) OR (((Abs([Grosswt]-[GRSWT]))>0.0001))
ORDER BY temp2.PN;

```
## Dependencies
- [[Tables/[RMSFILES__PSNWP1A0]]]
- [[Tables/[RMSFILES__IEMUP1A0]]]
## Parameters
- *None*
## What it does
**SQL Query Description**
==========================

### Overview

This SQL query retrieves data from multiple tables and performs calculations to identify discrepancies in weight values.

### Tables Involved

* `temp2`: A temporary table containing data with columns:
	+ `PartNumber` (PN)
	+ `PN` ( alias for PartNumber )
	+ `ActualWt`
	+ `GrossWt`
	+ `MATL#` (Material Number)
* `[RMSFILES#_PSNWP1A0]`: A table containing data with columns:
	+ `PRDNO` (Production Number, aliased as PN in the query)
	+ `NETWT` (Nominal Weight)
	+ `GRSWT` (Gross Weight)
* `[RMSFILES#_IEMUP1A0]`: A table containing data with columns:
	+ `PRDNO` (Production Number, aliased as PN in the query)
	+ `USAGE`

### Query Steps

1. **Join Temp Tables**: The query joins two temporary tables: `temp2` and `[RMSFILES#_PSNWP1A0]`, and another table `[RMSFILES#_IEMUP1A0]`. The join is done on the `PN` column, which is aliased as `PRDNO` in the joined tables.
2. **Filter Discrepancies**: The query filters rows where the absolute difference between `ActualWt` and `NETWT` (or `Grosswt` and `GRSWT`) is greater than 0.0001.
3. **Order Results**: The final result is ordered by the `PartNumber` (PN) column.

### Returned Columns

The query returns the following columns:

* `PartNumber`
* `PN` ( alias for PartNumber )
* `ActualWt`
* `NETWT`
* `GrossWt`
* `GRSWT`
* `MATL#`
* `USAGE`

Note that the `PRDNO` column is aliased as `PN` in the query, indicating that it represents the same data point.