# Query9
Analysis generated on: 4/2/2025 10:10:14 AM
---
## SQL Statement
```sql
SELECT Left(Left([PN],Len([pn])-1)+"                    ",15) AS Part, filter2.PN, Process.PartNumber, Process.GrossWt, Process.ActualWt INTO filter3a
FROM filter2 LEFT JOIN Process ON filter2.PN = Process.PartNumber;

```
## Dependencies
- [[Tables/filter2]]
- [[Tables/Process]]
## Parameters
- *None*
## What it does
**SQL Query Explanation**
=========================

### Overview

This SQL query joins two tables, `filter2` and `Process`, based on the `PN` column. It then selects and transforms data from both tables to create a new table, `filter3a`.

### Step-by-Step Breakdown

1. **Selecting Data**
   ```sql
SELECT 
  Left(Left([PN],Len([pn])-1)+"                    ",15) AS Part,
```
   This line selects the `PartNumber` column from both tables using a combination of `LEFT` and `LEN` functions.

   *   The outermost `LEFT` function takes two arguments: the column name (`[PN]`) and its length (`Len([pn])-1`). It returns the leftmost occurrence of the specified string within that column, truncating it to 15 characters (including leading spaces).
   *   The inner `LEFT` function applies the same logic to the `PartNumber` column from both tables.
2. **Joining Tables**
   ```sql
FROM filter2 LEFT JOIN Process ON filter2.PN = Process.PartNumber;
```
   This line joins the two tables based on the common column `PN`.

   *   The `LEFT JOIN` returns all rows from `filter2`, and the matching rows from `Process`.
   *   If there is no match, the result set will contain NULL values for the columns from `Process`.
3. **Creating a New Table**
   ```sql
INTO filter3a
```
   This line creates a new table named `filter3a` to store the transformed data.

### Notes and Considerations

*   The query assumes that the column names in both tables are spelled consistently (e.g., `[PN]` vs. `PartNumber`).
*   The use of `LEFT` functions can lead to unexpected results if the specified string length is not consistent across all rows.
*   This query does not include any filtering or sorting criteria; it simply joins and transforms the data.

### Example Output

| Part | PN    | Process.PartNumber | Process.GrossWt | Process.ActualWt |
|------|-------|--------------------|------------------|-------------------|
|      | PN    | PartNumber         | GrossWt          | ActualWt          |
| ...  | ..... | .................... | ................... | ................... |

Note: The actual output will depend on the data in both `filter2` and `Process`.