# K_NUM_2
Analysis generated on: 4/2/2025 10:00:28 AM
---
## SQL Statement
```sql
SELECT DISTINCTROW K_NUM_1.*
FROM K_NUM_1
WHERE ((K_NUM_1.Machine="C-1000" Or K_NUM_1.Machine="C-2000" Or K_NUM_1.Machine="C-3000" Or K_NUM_1.Machine="C-4000" Or K_NUM_1.Machine="C-5000" Or K_NUM_1.Machine="C-6000" Or K_NUM_1.Machine="C-7000" Or K_NUM_1.Machine="C-8000" Or K_NUM_1.Machine="C-9000"));

```
## Dependencies
- [[Queries/K_NUM_1]]
## Parameters
- *None*
## What it does
**SQL Query Description**
==========================

### Overview

This SQL query retrieves a distinct row from the `K_NUM_1` table where the value of the `Machine` column matches one of eight specified machine codes.

### Breakdown

#### Select Statement
```sql
SELECT DISTINCTROW K_NUM_1.*
```
*   `SELECT`: Retrieves data from the database.
*   `DISTINCTROW`: Ensures that only unique rows are returned, eliminating duplicates.
*   `K_NUM_1.*`: Selects all columns (`*`) from the `K_NUM_1` table.

#### From Clause
```sql
FROM K_NUM_1
```
*   Specifies the table (`K_NUM_1`) to retrieve data from.

#### Where Clause
```sql
WHERE ((K_NUM_1.Machine="C-1000" Or K_NUM_1.Machine="C-2000" ... Or K_NUM_1.Machine="C-9000"));
```
*   Filters the results to only include rows where the `Machine` column value matches one of the specified machine codes.
*   The `Or` operator (`or`) is used in conjunction with multiple conditions, creating a logical OR expression.
*   Each condition checks if the `Machine` column equals a specific machine code (e.g., "C-1000").

### Example Use Case

This query can be used to retrieve unique records from the `K_NUM_1` table where the machine type is known. For instance, if you need to report on all instances of machines with specific codes, this query would provide a concise and efficient way to do so.

### Notes

*   This query assumes that the `Machine` column in the `K_NUM_1` table contains only string values matching the specified machine codes.
*   Using an OR operator within the WHERE clause can lead to performance issues if the number of conditions is large. Consider optimizing this query by using indexes on the `Machine` column or rewriting it as a series of separate queries with AND operators instead of OR operators.