# metalQ1
Analysis generated on: 4/2/2025 10:04:12 AM
---
## SQL Statement
```sql
SELECT DISTINCTROW Metals.MetalName, Metals.Gauge, Metals.WarehouseLocation, Metals.PartNo, Metals.Density, Metals.Length, Metals.Width, Metals.Location, Metals.AltPartNo, Metals.PricePerLB, Metals.PurchaseBlank, Metals.Units, Metals.[$NMWT]
FROM Metals
ORDER BY Metals.MetalName, Metals.Gauge, Metals.WarehouseLocation;

```
## Dependencies
- [[Queries/Metals]]
## Parameters
- *None*
## What it does
**SQL Code Description**

### Overview

This SQL code retrieves a list of distinct rows from the `Metals` table, selecting specific columns and ordering the results by multiple criteria.

### Columns Retrieved

The code selects the following columns from the `Metals` table:

* `MetalName`: The name of the metal.
* `Gauge`: The gauge size of the metal.
* `WarehouseLocation`: The location where the metal is stored in the warehouse.
* `PartNo`: The part number of the metal.
* `Density`: The density of the metal.
* `Length`: The length of the metal.
* `Width`: The width of the metal.
* `Location`: The location where the metal is used or applicable (not entirely clear without more context).
* `AltPartNo`: An alternative part number for the metal.
* `PricePerLB`: The price per pound of the metal.
* `PurchaseBlank`: Not a standard column name in most databases, this might be a custom field or an abbreviation. It's unclear what this field represents without more information.
* `Units`: Not a standard column name in most databases, similar to `PurchaseBlank`, it's unclear what this field represents without more context.
* `[$NMWT]`: This column appears to be a currency value represented by the symbol `$` and `NMWT`. It might represent the price of the metal in New Zealand dollars (NZD).

### Ordering

The results are ordered by:

1. `MetalName`
2. `Gauge`
3. `WarehouseLocation`

This ordering suggests that the list will be organized alphabetically by metal name, then by gauge size, and finally by warehouse location.

### Notes

* The `DISTINCTROW` clause is used to ensure that each row is unique across the entire table, even if multiple rows share the same value for some columns.
* The exact meaning of the custom column names (`PurchaseBlank` and `Units`) might vary depending on the specific database schema or application context.