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  1. 9 wrz 2014 · There may be a better way but as a simple one off query I would probably do it like: SELECT athleteID, eventName, sum(CASE WHEN meetName='Snowflake' THEN score ELSE 0 END) as SnowScore, sum(CASE WHEN meetName='Valentine' THEN score ELSE 0 END) as ValScore. FROM performances.

  2. I have the Items table joined with a User table so I can pull the first and last name of the users who match the CreatedByand LastChangedByuser IDs. The way I have the query written now, I've concatenated the two fields so they end up displayed as "LastName, FirstName" in a single column.

  3. 16 lis 2014 · 1 Answer. Sorted by: 0. Assuming the Mgr_Id has a foreign key relation with Emp_id in the EMPLOYEE table, you can do the following: SELECT. e.Name as EmployeeName, d.Location AS EmployeeLocation, de.Name AS ManagerName. FROM EMPLOYEE AS e. LEFT OUTER JOIN DEPARTMENT AS d. ON d.Dep_Id = e.Dept_ID. LEFT OUTER JOIN EMPLOYEE AS de.

  4. select sales_t.[date], sales_t.sales, ly_sales_t.sales from table1 as sales_t, table1 as ly_sales_t where right(sales_t.[date],4) = right(ly_sales_t.[date],4) and left(sales_t.[date],4) = left(ly_sales_t.[date],4)-1. edit:fixed from 1-left to left(x)-1

  5. 28 maj 2020 · I have a simple select statement from one table that lists the same numeric column (TRANAMT) twice. If the number is positive (>0) I want it to show in the first reference of TRANAMT. If the number is negative (<0) I want it to should in the next reference of TRANAMT.

  6. 24 lut 2021 · I have the following join statement, which shows all the columns, and shows the Secretary's name and number, as well as the Manager Number , but I can't get the Manager Name to show up, or not repeat the same info as Secretary Name. What I have so far: SELECT. SECRETARY.SECRETARY_NUMBER, SECRETARY.EMPLOYEE_NUMBER AS SECRETARY_EMPLOYEE,

  7. 7 wrz 2024 · In this article, we’ve explored joining the same table twice in SQL, which is powerful for comparing rows within the same table, querying hierarchical data, and detecting duplicates. So, by mastering this, we can effectively manage and analyze complex data relationships within a single table.

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