# Processes by Req 3 Analysis generated on: 4/2/2025 10:07:13 AM --- ## SQL Statement ```sql SELECT Trim([PRDNO])+[REVLVL] AS Prtno, [RMSFILES#_IEMUP1A0].ACTIV, [RMSFILES#_IEMUP1A0].USAGE FROM [RMSFILES#_IEMUP1A0] WHERE ((([RMSFILES#_IEMUP1A0].ACTIV)="1")); ``` ## Dependencies - [[Tables/[RMSFILES__IEMUP1A0]]] ## Parameters - *None* ## What it does **SQL Query Description** ========================== ### Overview This SQL query retrieves data from the `RMSFILES#_IEMUP1A0` table, specifically filtering records where the `ACTIV` column is equal to '1'. The results are then manipulated and formatted for display. ### Step-by-Step Explanation #### 1. Data Retrieval The query starts by selecting specific columns from the `RMSFILES#_IEMUP1A0` table using the `SELECT` statement. * `[PRDNO]`: This column is trimmed (leading and trailing whitespace removed) and assigned an alias of `Prtno`. * `[RMSFILES#_IEMUP1A0].ACTIV`: This column is aliased as `ACTIV` and is selected directly from the table. * `[RMSFILES#_IEMUP1A0].USAGE`: This column is also aliased as `USAGE` and is selected directly from the table. #### 2. Filtering The query applies a filter to the retrieved data using the `WHERE` clause. * The condition `([RMSFILES#_IEMUP1A0].ACTIV) = "1"` specifies that only records where the value in the `ACTIV` column is equal to '1' should be included in the results. #### 3. Data Transformation The query does not perform any additional data transformations or aggregations, but rather directly returns the filtered and formatted data. ### Resulting Set Description The resulting set will contain only the rows that meet the specified filter condition, with the `Prtno` column being trimmed (leading and trailing whitespace removed) and aliased as `Prtno`, while the `ACTIV` and `USAGE` columns are displayed in their original format. **Example Use Case** -------------------- This query might be used to report on active records within a specific table, where the `ACTIV` column indicates the status of each record. The trimmed `PRDNO` column provides a standardized representation of the primary key value, while the `USAGE` column offers additional context about each record. ### Note The exact purpose and usage of this query may depend on the specific requirements of your application or database schema.