59 lines
2.0 KiB
Markdown
59 lines
2.0 KiB
Markdown
# Query4
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Analysis generated on: 4/2/2025 10:09:35 AM
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---
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## SQL Statement
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```sql
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SELECT DISTINCTROW Process.PartNumber, Process.MaterialCost, Process.LaborCost, Process.PartCost
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FROM Process
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WHERE ((Process.MetalType="8110879"));
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```
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## Dependencies
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- [[Tables/Process]]
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## Parameters
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- *None*
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## What it does
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**SQL Code Description**
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==========================
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### Query Overview
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This SQL query retrieves distinct rows from a table named `Process` that meet a specific condition based on the value of the `MetalType` column.
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### Column Selection
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The query selects four columns from the `Process` table:
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* `PartNumber`: The unique identifier for each part.
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* `MaterialCost`: The cost associated with the material used in the process.
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* `LaborCost`: The cost associated with labor costs incurred during the process.
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* `PartCost`: The total cost of the part, which is likely calculated by summing up the material and labor costs.
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### Filtering Condition
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The query filters rows based on a specific condition:
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* `WHERE (Process.MetalType = "8110879")`
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This condition only includes rows where the value in the `MetalType` column matches the string literal `"8110879"`.
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### DISTINCTROW Clause
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The `DISTINCTROW` clause is used to ensure that each row returned by the query contains unique values for all selected columns. This means that if two rows have the same values for `PartNumber`, `MaterialCost`, `LaborCost`, and `PartCost`, they will be included only once in the result set.
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### Table Name
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The query operates on a table named `Process`.
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### Assumptions
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This code assumes that:
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* The table `Process` exists in the database.
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* The columns `MetalType`, `MaterialCost`, `LaborCost`, and `PartCost` exist in the `Process` table.
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* The data type of the `MetalType` column is compatible with string literals.
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### Example Use Case
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This query can be used to retrieve a list of parts that use a specific metal type, along with their respective material, labor, and part costs. The result set can then be used for further analysis or processing in an application.
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