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UniversalQ

Analysis generated on: 4/2/2025 10:13:09 AM

SQL Statement

SELECT DISTINCTROW Process.*
FROM Process
ORDER BY Left$(Right$("     "+[Process].[PartNumber],5),4), Right$([PartNumber],1) DESC;

Dependencies

Tables/Process

Parameters

None

What it does

SQL Code Description

Overview

The provided SQL code retrieves a distinct set of records from the Process table, ordered based on two conditions: part number length and its first character.

Breakdown

1. Selecting Distinct Records

SELECT DISTINCTROW Process.*

This line selects all columns (*) from the Process table, but only returns distinct records. The DISTINCTROW keyword ensures that each row in the result set is unique based on the specified column(s).

2. Sorting Criteria

The sorting criteria for this query are:

Part number length (first 5 characters) in descending order
First character of part number in ascending order

These conditions are applied using string manipulation functions (Left and Right) and comparisons (ORDER BY clause).

3. String Manipulation Functions

LEFT$([PartNumber],4)

This function extracts the first 4 characters from the PartNumber. The $ symbol denotes a "literal" string, which means the result is treated as a literal value rather than being interpreted by SQL.

RIGHT$("     "+[Process].[PartNumber],1)

This function takes the following steps:

Concatenates an additional 5 spaces (" ") with the PartNumber.
Extracts the first character from this resulting string using Right.

4. ORDER BY Clause

ORDER BY Left$([PartNumber],5), Right$([PartNumber],1) DESC;

The results are sorted according to the two conditions mentioned earlier:

Part number length (first 5 characters): shorter lengths come first.
First character of part number: alphabetical order from A to Z.

Both conditions are applied in descending order, meaning records with longer part numbers and starting letters that appear later alphabetically will be prioritized.

Result

The query returns a list of distinct Process records sorted according to the specified criteria. The resulting set may have fewer rows than the original table if duplicate records were present.

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