# Util Make Select 0a
Analysis generated on: 4/2/2025 10:14:03 AM
---
## SQL Statement
```sql
SELECT "x X X" AS BestSheetSet, [Filtered Parts 3].PN, Process.* INTO [Util Selection 0]
FROM [Filtered Parts 3] LEFT JOIN Process ON [Filtered Parts 3].PN = Process.PartNumber
WHERE (((Process.PartNumber)<>""))
ORDER BY Process.PartNumber, [Filtered Parts 3].PN;

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

### Overview

This SQL query retrieves data from two tables: `[Filtered Parts 3]` and `Process`. The query filters the results to include only valid part numbers and selects specific columns. The output is transformed into a new table named `[Util Selection 0]`.

### Step-by-Step Breakdown

#### 1. Column Aliasing

```sql
SELECT "x X X" AS BestSheetSet, [Filtered Parts 3].PN, Process.*
```

*   This line selects the first row of values as a literal string `"x X X"` and assigns it to a column alias `BestSheetSet`.
*   The `Processed Parts 3` table is then selected for its `PN` (Part Number) value.
*   Finally, all columns from the `Process` table are selected using `Process.*`.

#### 2. Joining Tables

```sql
FROM [Filtered Parts 3] LEFT JOIN Process ON [Filtered Parts 3].PN = Process.PartNumber
```

*   This line joins the `[Filtered Parts 3]` table with the `Process` table on a common column: `PartNumber`.
*   The join type is set to `LEFT JOIN`, which means that all records from the left table (`[Filtered Parts 3]`) will be included in the results, even if there are no matches in the right table.

#### 3. Filtering

```sql
WHERE (((Process.PartNumber)\u003c\u003e""))
```

*   This line applies a filter to exclude any rows where `Process.PartNumber` is an empty string (`\u003c\u003e ""`).
*   The triple parentheses around `Process.PartNumber` ensure that only non-empty strings are included in the results.

#### 4. Sorting

```sql
ORDER BY Process.PartNumber, [Filtered Parts 3].PN;
```

*   This line sorts the filtered results by two columns:
    *   First, by the `PartNumber` column of the `Process` table.
    *   Second, by the `PN` (Part Number) value from the `[Filtered Parts 3]` table.

#### 5. Output Transformation

```sql
INTO [Util Selection 0]
```

*   This line creates a new output table named `[Util Selection 0]`.
*   The `INTO` clause is used to specify the destination for the query's results.

**Example Use Case**

This SQL query might be used in an inventory management system to retrieve part numbers with valid data from both the `[Filtered Parts 3]` and `Process` tables. The sorted output could help with identifying parts that need attention, such as those with no matching process information or incomplete data.

**Output Format**

The final output will have the following columns:

*   `BestSheetSet`: a constant string `"x X X"`
*   `PN`: the part number from `[Filtered Parts 3]`
*   The other columns from the `Process` table, sorted by `PartNumber` and then `PN`

Note: The exact column names and data types may vary depending on the actual schema of the tables involved.