58 lines
2.8 KiB
Markdown
58 lines
2.8 KiB
Markdown
# test1 for chris brown never to be used again
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Analysis generated on: 4/2/2025 10:12:50 AM
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---
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## SQL Statement
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```sql
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SELECT test1.PartNumber, Process.PartName, Process.PressBrake, InStr([PartName],"CONTROL") AS Expr1, InStr([PartName],"PANEL") AS Expr2
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FROM test1 LEFT JOIN Process ON test1.PartNumber = Process.PartNumber
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WHERE (((InStr([PartName],"CONTROL"))<>0) AND ((InStr([PartName],"PANEL"))<>0));
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```
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## Dependencies
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- [[Tables/test1]]
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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 Query Explanation**
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==========================
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### Overview
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This SQL query retrieves specific data from two tables, `test1` and `Process`, based on the presence of certain strings in the `PartName` column.
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### Table Descriptions
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* **test1**: A table containing information about parts, with columns:
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* `PartNumber`: The unique identifier for each part.
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* `PartName`: The name of each part.
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* **Process**: A table related to the process of manufacturing or inspecting these parts, with columns:
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* `PartNumber`: The same as in the `test1` table, linking it to the corresponding part.
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* `PartName`: The same as in the `test1` table, used for joining purposes.
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### Query Logic
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The query consists of three main components:
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1. **Joining Tables**: It performs a LEFT JOIN between the `test1` and `Process` tables based on the matching `PartNumber`. This allows the query to access data from both tables.
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2. **String Inquiries**: It uses the `InStr` function to check if specific strings are present in the `PartName` column of both tables:
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* `(InStr([PartName],"CONTROL")\u003c\u003e0)`: Checks for the presence of the string "CONTROL" within the part name.
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* `(InStr([PartName],"PANEL")\u003c\u003e0)`: Checks for the presence of the string "PANEL" within the part name.
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3. **Filtering Results**: The query applies two conditions to filter the results:
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* Only rows where both strings ("CONTROL" and "PANEL") are present in the `PartName` column are included.
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### Query Output
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The final output of this SQL query will be a set of rows containing:
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* `PartNumber`: From the `test1` table.
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* `PartName`: From the `Process` table, with the joined data from both tables.
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* `PressBrake`: From the `Process` table (not part of the original query logic but included in the output due to the join).
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* Two additional columns:
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* `Expr1`: The position of "CONTROL" within the part name. If "CONTROL" is not present, it will be represented as 0.
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* `Expr2`: The position of "PANEL" within the part name. If "PANEL" is not present, it will be represented as 0.
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### Usage Scenario
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This query might be used in a manufacturing or quality control environment to identify parts that have undergone specific processes (e.g., press brake operations) and contain certain keywords ("CONTROL" and/or "PANEL").
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