Column to row conversion in SQL Server
Converting database columns into rows is an important technique in data analysis and reorganization. There are several ways to accomplish this conversion in SQL Server, each with its own advantages and considerations.
Method 1: UNPIVOT function
UNPIVOT function natively supports column to row conversion. The syntax of UNPIVOT is as follows:
UNPIVOT (indicatorvalue FOR indicatorname IN (Indicator1, Indicator2, Indicator3, ...)) AS unpiv
Example:
SELECT id, entityId, indicatorname, indicatorvalue FROM yourtable UNPIVOT ( indicatorvalue FOR indicatorname IN (Indicator1, Indicator2, Indicator3) ) unpiv;
Method 2: Use UNION ALL’s CROSS APPLY
CROSS APPLY using UNION ALL is another way to convert columns into rows. It iteratively combines rows based on the provided columns:
SELECT id, entityid, indicatorname, indicatorvalue FROM yourtable CROSS APPLY ( SELECT 'Indicator1', Indicator1 UNION ALL SELECT 'Indicator2', Indicator2 UNION ALL SELECT 'Indicator3', Indicator3 UNION ALL SELECT 'Indicator4', Indicator4 ) c (indicatorname, indicatorvalue);
Method 3: Use CROSS APPLY of VALUES
This method utilizes the VALUES clause in CROSS APPLY to specify column names and values:
SELECT id, entityid, indicatorname, indicatorvalue FROM yourtable CROSS APPLY ( VALUES ('Indicator1', Indicator1), ('Indicator2', Indicator2), ('Indicator3', Indicator3), ('Indicator4', Indicator4) ) c (indicatorname, indicatorvalue);
Method 4: Dynamic SQL
For scenarios where you need to unwind a large number of columns, Dynamic SQL can automate this process:
DECLARE @colsUnpivot AS NVARCHAR(MAX), @query AS NVARCHAR(MAX) SELECT @colsUnpivot = STUFF(( SELECT ',' + QUOTENAME(C.column_name) FROM INFORMATION_SCHEMA.COLUMNS AS C WHERE C.table_name = 'yourtable' AND C.column_name LIKE 'Indicator%' FOR XML PATH('') ), 1, 1, '') SET @query = 'SELECT id, entityId, indicatorname, indicatorvalue FROM yourtable UNPIVOT ( indicatorvalue FOR indicatorname IN (' + @colsUnpivot + ') ) u' EXEC sp_executesql @query;
You can efficiently perform column-to-row conversions in SQL Server by choosing the most appropriate method for your specific scenario.
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