2.5 KiB
Util Result1 for steve
Analysis generated on: 4/2/2025 10:15:28 AM
SQL Statement
SELECT [Util Selection 3].*, Process.* INTO [Steve's C1]
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;
Dependencies
Parameters
- Error analyzing parameters: For loop not initialized
What it does
SQL Query Description
This SQL query performs a complex join operation to retrieve data from multiple tables and populate two derived tables with the selected columns.
Table Names and Columns
[Util Selection 3]
: A table containing data for "Util Selection 3".[Sorted By Machines 1]
: A table containing data for "Sorted By Machines 1".Process
: A table containing additional process-related data.PRDNO
,PartNumber
: Common column names used in the join operations.
Query Steps
The query consists of three main steps:
Step 1: Left Join [Util Selection 3]
with [Sorted By Machines 1]
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]
.
Step 2: Left Join the result with Process
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
.
Result
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.
Output
The query produces a table with two derived tables:
[Steve's C1]
: A table containing the selected columns from both[Util Selection 3]
andProcess
.- The original data in
[Util Selection 3]
, [Sorted By Machines 1], and Process are also included.
Notes
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.