# AddnlQ1
Analysis generated on: 4/2/2025 9:56:48 AM
---
## SQL Statement
```sql
SELECT DISTINCTROW AddnlProc.PartNumber, AddnlProc.OPCode, AddnlProc.ID, AddnlProc.Generated, AddnlProc.Description, AddnlProc.WC1, AddnlProc.WC2, AddnlProc.WC3, AddnlProc.WC4, AddnlProc.Machine, AddnlProc.CycleTime, AddnlProc.RunStd, Labor.LaborRate
FROM AddnlProc INNER JOIN Labor ON AddnlProc.WC2 = Labor.WC2
ORDER BY AddnlProc.PartNumber, AddnlProc.OPCode, AddnlProc.ID;

```
## Dependencies
- [[Tables/AddnlProc]]
- [[Tables/Labor]]
## Parameters
- *None*
## What it does
**SQL Query Description**
=====================================

### Overview

This SQL query retrieves a distinct set of rows from two tables: `AddnlProc` and `Labor`. The query joins the two tables on a common column (`WC2`) and returns various columns, grouped by specific criteria.

### Query Breakdown

#### SELECT Clause

The query starts with the `SELECT DISTINCTROW` statement, which specifies that only distinct rows should be returned. However, this clause seems redundant in combination with `DISTINCTROW`, as `DISTINCTROW` already ensures that each row is unique based on its values. For simplicity and consistency, it's recommended to use just `DISTINCT`.

The query selects the following columns from both tables:

- `AddnlProc.PartNumber`
- `AddnlProc.OPCode`
- `AddnlProc.ID`
- `AddnlProc.Generated`
- `AddnlProc.Description`
- `AddnlProc.WC1`, `AddnlProc.WC2`, and `AddnlProc.WC3` columns from the `AddnlProc` table
- `Labor.LaborRate`

#### INNER JOIN Clause

The query joins the `AddnlProc` table with the `Labor` table on a common column (`WC2`). This creates a new table that combines rows from both tables where the value in `WC2` is the same.

#### ORDER BY Clause

Finally, the query sorts the resulting combined table by the following columns:

- `AddnlProc.PartNumber`
- `AddnlProc.OPCode`
- `AddnlProc.ID`

This ensures that the results are presented in a consistent order.

### Potential Improvements

1. **Use `DISTINCT` instead of `DISTINCTROW`:** While `DISTINCTROW` provides some benefits, using `DISTINCT` alone is sufficient and more straightforward.
2. **Consider indexing:** If the join operation frequently uses the same columns for sorting (as in this query), creating an index on these columns could improve performance.

### Example Output

| PartNumber | OPCode | ID | Generated | Description | WC1 | WC2 | WC3 | Machine | CycleTime | RunStd | LaborRate |
|------------|--------|----|-----------|-------------|-----|------|------|----------|---------|-------|----------|

Assuming the `WC2` value in each row is unique, this query would return one row per combination of values from these columns. If there are duplicate rows for a specific set of values (e.g., same part number and operation code), only one will be included in the results.