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Util Make Duprev

Analysis generated on: 4/2/2025 10:13:48 AM

SQL Statement

SELECT [Util Selection 1].prt AS prt, First([Util Selection 1].Rev) AS Rev, First([Util Selection 1].PartNumber) AS PartNumber, First([Util Selection 1].Flag) AS Flag, First([Util Selection 1].FirstDim) AS FirstDim, First([Util Selection 1].SecDim) AS SecDim, First([Util Selection 1].PartHeight) AS PartHeight, First([Util Selection 1].PartWidth) AS PartWidth, First([Util Selection 1].MetalType) AS MetalType INTO [Util Selection 2]
FROM [Util Selection 1]
GROUP BY [Util Selection 1].prt;

Dependencies

None

Parameters

None

What it does

SQL Code Explanation

This SQL code is used to extract and transform data from a table called [Util Selection 1] into a new table called [Util Selection 2]. The code performs the following operations:

1. Selecting Columns

The code selects specific columns from the [Util Selection 1] table and assigns them aliases for better readability.

prt: Extracts the value of the prt column as is.
Rev, PartNumber, Flag, FirstDim, SecDim, PartHeight, and PartWidth: Extracts the first occurrence of each column's values, effectively removing any duplicate rows within the group.

2. Grouping Rows

The code groups the selected columns by the prt column, which means that all rows with the same value in the prt column will be combined into a single row in the resulting table.

3. Creating a New Table

The transformed data is inserted into a new table called [Util Selection 2].

4. Column Aliases

All selected columns in the new table have default aliases:

prt: prt
Rev, PartNumber, Flag, FirstDim, SecDim, PartHeight, and PartWidth: Their corresponding column names with "First" appended to indicate that they contain the first occurrence of each value.

5. SQL Syntax Details

This code uses a combination of standard SQL syntax, including:

SELECT statement to specify which columns are needed.
INTO clause to create a new table.
GROUP BY clause to group rows based on the selected column.
First() function to extract the first occurrence of each value within each group.

Example Use Case

This SQL code can be used in scenarios where you need to:

Consolidate and transform data from multiple tables.
Remove duplicate rows by grouping on specific columns.
Extract specific values (e.g., the first value) for further analysis or reporting.

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