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PSLine2000Documentation/Queries/metalQ1.md

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metalQ1

Analysis generated on: 4/2/2025 10:04:12 AM

SQL Statement

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

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.