When we need to compare values of more columns we would have to rewrite the function or create a new one, because in SQL Server we can't create a function with a dynamic number of parameters. Example using dbms_lob.compare in SQL In this example, we use dbms_lob.compare in SQL to compare if two CLOB columns are matching in two separate tables: For using dbms_lob.compare in SQL, you can compare two LOB columns within a single table, joining the table against itself, like this example comparing the CLOB column col1 with CLOB column col2. table - name of the table with schema; column - name of column; database1 - if column exists in a table in database 1 then column contains its name (repeats it from column column) I have a requirement in which i need to compare two columns using a case statement. I need this row. FROM student_details NOTE:The data used to compare is case sensitive. The operator BETWEEN and AND, are used to compare data for a range of values. SQL LIKE makes it simple for users to identify patterns in a table’s columns. How Compare two columns of Same SQL table to find duplicate records. You have two OleDb Sources, preferably with sorted queries on ColumnA in both sources (otherwise you will need to sort the data using a very expensive Sort transform). this needs to be fitted in Conditional split. google_ad_height = 280; The data used to compare is case sensitive. It is similar to an OR condition. Example: If a pupil doesn't have any mark yet, its record will still appear, and the columns on the right will be empty (NULL in SQL). It is useful when you want to search rows to match a specific pattern, or when you do not know the entire value. Columns names: ID | Policy. With SQL I am trying to combine column A and column B into a single column, say column Z to sort [ORDER BY] by column Z. if the last use dyaer and month are within the cutoff date then flag should be 1. Then you use the Merge Join, using the … This query has subqueries in the main SELECT and the WHERE clause. This was turning into a real performance bottleneck (relatively speaking) as the entire row of data had to be updated if any one of the numerous fields were modified. For Example: If you want to find the names of students who do not participate in any games, the query would be as given below, SELECT first_name, last_name