65 lines
2.8 KiB
Markdown
65 lines
2.8 KiB
Markdown
# AddnlQ1
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Analysis generated on: 4/2/2025 9:56:48 AM
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---
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## SQL Statement
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```sql
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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
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FROM AddnlProc INNER JOIN Labor ON AddnlProc.WC2 = Labor.WC2
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ORDER BY AddnlProc.PartNumber, AddnlProc.OPCode, AddnlProc.ID;
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```
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## Dependencies
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- [[Tables/AddnlProc]]
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- [[Tables/Labor]]
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## Parameters
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- *None*
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## What it does
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**SQL Query Description**
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=====================================
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### Overview
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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.
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### Query Breakdown
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#### SELECT Clause
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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`.
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The query selects the following columns from both tables:
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- `AddnlProc.PartNumber`
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- `AddnlProc.OPCode`
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- `AddnlProc.ID`
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- `AddnlProc.Generated`
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- `AddnlProc.Description`
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- `AddnlProc.WC1`, `AddnlProc.WC2`, and `AddnlProc.WC3` columns from the `AddnlProc` table
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- `Labor.LaborRate`
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#### INNER JOIN Clause
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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.
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#### ORDER BY Clause
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Finally, the query sorts the resulting combined table by the following columns:
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- `AddnlProc.PartNumber`
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- `AddnlProc.OPCode`
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- `AddnlProc.ID`
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This ensures that the results are presented in a consistent order.
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### Potential Improvements
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1. **Use `DISTINCT` instead of `DISTINCTROW`:** While `DISTINCTROW` provides some benefits, using `DISTINCT` alone is sufficient and more straightforward.
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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.
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### Example Output
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| PartNumber | OPCode | ID | Generated | Description | WC1 | WC2 | WC3 | Machine | CycleTime | RunStd | LaborRate |
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|------------|--------|----|-----------|-------------|-----|------|------|----------|---------|-------|----------|
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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.
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