# Processes by material 4 Analysis generated on: 4/2/2025 10:06:51 AM --- ## SQL Statement ```sql SELECT Process.* FROM [Process by material 2] LEFT JOIN Process ON [Process by material 2].PN = Process.PartNumber; ``` ## Dependencies - [[Tables/Process]] ## Parameters - *None* ## What it does **SQL Query Description** ========================== The provided SQL query retrieves data from two tables: `[Process by material 2]` and `Process`. It performs a left join operation to combine rows from both tables based on the matching values in the `PN` column of `[Process by material 2]` and the `PartNumber` column of the `Process` table. **Query Details** ----------------- ### Tables Involved * `[Process by material 2]`: The source table, which contains data about processes related to a specific material. * `Process`: The target table, which contains general process information. ### Join Type The query uses a left join operation. This means that all rows from the `[Process by material 2]` table will be included in the results, and the corresponding rows from the `Process` table will be added to the results if there is a match in the `PN` column. ### Column Selection The query selects only the columns (`*`) from the `Process` table. This means that data from both tables will be combined based on the join condition, but only the columns from the `Process` table are included in the output. **Join Condition** ----------------- The join condition is based on matching values in the `PN` column of `[Process by material 2]` and the `PartNumber` column of the `Process` table. This means that if a record exists in the `[Process by material 2]` table with a specific `PN`, the corresponding record from the `Process` table will be joined on the same value. **Result** ------------ The final result set will contain all columns (`*`) from the `Process` table, combined with data from the `[Process by material 2]` table based on the join condition. The resulting rows will include data from both tables for each matching process record.