You can use the built in stack function, for example in Scala: scala> val df = Seq((“G”,Some(4),2,None),(“H”,None,4,Some(5))).toDF(“A”,”X”,”Y”, “Z”) df: org.apache.spark.sql.DataFrame = [A: string, X: int … 2 more fields] scala> df.show +—+—-+—+—-+ | A| X| Y| Z| +—+—-+—+—-+ | G| 4| 2|null| | H|null| 4| 5| +—+—-+—+—-+ scala> df.select($”A”, expr(“stack(3, ‘X’, X, ‘Y’, Y, ‘Z’, … Read more
What you need to do is first, unpivot the data and then pivot it. But unfortunately MySQL does not have these functions so you will need to replicate them using a UNION ALL query for the unpivot and an aggregate function with a CASE for the pivot. The unpivot or UNION ALL piece takes the … Read more
To preserve NULLs, use CROSS JOIN … CASE: select a.ID, b.column_name , column_value = case b.column_name when ‘col1’ then a.col1 when ‘col2’ then a.col2 when ‘col3’ then a.col3 when ‘col4’ then a.col4 end from ( select ID, col1, col2, col3, col4 from table1 ) a cross join ( select ‘col1’ union all select ‘col2’ union … Read more
I wrote a simple general custom function, which is 100% reusable you can unpivot / reverse pivot a table of any size. In your case you could use it like this: =unpivot(A1:D4,1,1,”customer”,”sales”) So you can use it just like any built-in array function in spreadsheet. Please see here 2 examples: https://docs.google.com/spreadsheets/d/12TBoX2UI_Yu2MA2ZN3p9f-cZsySE4et1slwpgjZbSzw/edit#gid=422214765 The following is the … Read more
To “reverse pivot”, “unpivot” or “flatten”: For Excel 2003: Activate any cell in your summary table and choose Data – PivotTable and PivotChart Report: For later versions access the Wizard with Alt+D, P. For Excel for Mac 2011, it’s ⌘+Alt+P (See here). Select Multiple consolidation ranges and click Next. In “Step 2a of 3”, choose … Read more
Your query is very close. You should be able to use the following which includes the subject in the final select list: select u.name, u.subject, u.marks from student s unpivot ( marks for subject in (Maths, Science, English) ) u; See SQL Fiddle with demo
You can use the UNPIVOT function to convert the columns into rows: select id, entityId, indicatorname, indicatorvalue from yourtable unpivot ( indicatorvalue for indicatorname in (Indicator1, Indicator2, Indicator3) ) unpiv; Note, the datatypes of the columns you are unpivoting must be the same so you might have to convert the datatypes prior to applying the … Read more