# Util Make Duprev
Analysis generated on: 4/2/2025 10:13:48 AM
---
## SQL Statement
```sql
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.