It takes a special operator IS NULL in SQL (or 'IsNaN' for IEEE FP) to detect these special values. Parallel to above 2nd SELECT query matched 1st SELECT query as per datatype of each column. Because this is an instance of SQL Server conforming to ANSI SQL -) NULL in SQL is somewhat similar to IEEE NaN in comparison rules: NaN NaN and NaN NaN are both false. column 'modifiedon' is datetime and so applied CONVERT(NVARCHAR(23), 'modifiedon', 126). SELECT CONVERT(NVARCHAR(36), inspectionid) + ', ' +ĬONVERT(NVARCHAR(36), documenttype) + ', ' +Ībove, columns 'inspectionid' & 'documenttype' has uniqueidentifer datatype and so applied CONVERT(NVARCHAR(36)). So that when I export the data to CSV I have comma separated rows with first row as header and has respective column names. My task was to retrieve comma separated result set with column header. I had seven columns with few different datatypes in SQL. In a result set, it will display empty columns with two headers - column1 and column2 2: I share one simple instance I came across. (NOTE: remember to specify names in quotes) In SQL if we write - SELECT 'column1', 'column2' "COLUMN COUNT AS WELL AS EACH COLUMN DATATYPE MUST MATCH WHEN 'UNION' OR 'UNION ALL' IS USED" You can use a non-equi join to check for duplicate value or when you need to compare one value in a table falls within a range of values within another. Although this an old post, I am sharing another working example. By: Kris Wenzel Updated: MaWorks With: Related: Home Blog Database Joins A non-equi join can be used to solve some interesting query problems.
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