54 lines
2.5 KiB
Markdown
54 lines
2.5 KiB
Markdown
# Util Result1 for steve
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Analysis generated on: 4/2/2025 10:15:28 AM
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---
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## SQL Statement
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```sql
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SELECT [Util Selection 3].*, Process.* INTO [Steve's C1]
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FROM ([Util Selection 3] LEFT JOIN [Sorted By Machines 1] ON [Util Selection 3].PRDNO = [Sorted By Machines 1].prt) LEFT JOIN Process ON [Sorted By Machines 1].PartNumber = Process.PartNumber;
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```
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## Dependencies
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- [[Tables/Machines]]
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- [[Tables/Process]]
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## Parameters
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- *Error analyzing parameters: For loop not initialized*
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## What it does
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**SQL Query Description**
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==========================
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This SQL query performs a complex join operation to retrieve data from multiple tables and populate two derived tables with the selected columns.
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### Table Names and Columns
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* `[Util Selection 3]`: A table containing data for "Util Selection 3".
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* `[Sorted By Machines 1]`: A table containing data for "Sorted By Machines 1".
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* `Process`: A table containing additional process-related data.
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* `PRDNO`, `PartNumber`: Common column names used in the join operations.
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### Query Steps
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The query consists of three main steps:
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#### Step 1: Left Join `[Util Selection 3]` with `[Sorted By Machines 1]`
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This step performs a left join between the two tables on the `PRDNO` column, which is common to both tables. This ensures that all records from `[Util Selection 3]` are included in the results, even if there are no matching records in `[Sorted By Machines 1]`.
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#### Step 2: Left Join the result with `Process`
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This step performs another left join between the previous result and the `Process` table on the `PartNumber` column. This ensures that all records from the first two tables are included in the results, even if there are no matching records in `Process`.
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#### Result
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The final result is populated into a derived table named `[Steve's C1]`, which includes all columns (`*`) from both `[Util Selection 3]` and `Process`. The resulting table contains data from all three tables, joined on the common `PRDNO` and `PartNumber` columns.
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### Output
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The query produces a table with two derived tables:
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* `[Steve's C1]`: A table containing the selected columns from both `[Util Selection 3]` and `Process`.
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* The original data in `[Util Selection 3]`, [Sorted By Machines 1], and Process are also included.
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### Notes
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The use of left joins ensures that all records from the first two tables are included in the results, even if there are no matching records in `Process`. This can be useful for maintaining data integrity and completeness.
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