# Processes by material 2b Analysis generated on: 4/2/2025 10:06:22 AM --- ## SQL Statement ```sql SELECT [Process by material].prt FROM [Process by material] GROUP BY [Process by material].prt ORDER BY [Process by material].prt; ``` ## Dependencies - *None* ## Parameters - *None* ## What it does **SQL Query Description** ========================== ### Overview The provided SQL query retrieves a list of unique process IDs (`prt`) from the `Process by material` table, grouped by the process ID. The results are ordered in ascending order based on the process ID. ### Code Breakdown #### Select Statement ```sql SELECT [Process by material].prt ``` * This statement selects the column named `prt` (process ID) from the `Process by material` table. #### From Clause ```sql FROM [Process by material] ``` * The query specifies that it wants to retrieve data from the `Process by material` table, which is a database table. #### Group By Clause ```sql GROUP BY [Process by material].prt ``` * This clause groups the selected rows based on the values in the `prt` column. When grouped by this column, the result set will contain one row for each unique value of `prt`. #### Order By Clause ```sql ORDER BY [Process by material].prt; ``` * Finally, the query sorts the grouped results in ascending order based on the values in the `prt` column. ### Result The final output of this SQL query will be a list of process IDs (`prt`) from the `Process by material` table, sorted in ascending order. Each ID will appear only once in the result set, as the data is grouped by this unique identifier. **Example Use Case** This query can be used to analyze and summarize processes based on their materials. The results can help identify which processes are associated with specific materials, providing insights into production workflows or inventory management needs. ```markdown ### Example Data | Process ID (prt) | Material | | --- | --- | | 101 | Metal | | 102 | Plastic | | 101 | Metal | | 103 | Wood | ### Query Output | prt | | --- | | 101 | | 102 | | 103 | ``` In this example, the query produces a list of unique process IDs (`prt`) from the `Process by material` table.