Again, knowing your data and business rules for your organization will determine whether you have duplicate records in your database. You will need to determine which field(s) in your table will constitute duplicate records. So in order to find duplicates in your table run this query, substituting the names of your database, table, and relevant columns. Now I will insert these rows of data into my Customers table to create duplicate rows:ĭuplicate records in your table will most likely not be in sequential order, as shown in our example above. I have selected rows out of a table that contains customer information. It can be a painstaking process, but we will go over some basic steps to help find and remove duplicate records in your database.įirst let’s take a look at a table and purposefully insert duplicate records into it. Knowing your data is the key to determining whether your records are duplicates or not. In most cases business rules, not repetitive values, will determine what constitutes duplicate data. You might have one person with multiple addresses, emails, or other identifying characteristics.
You might have multiple people with the same first and last name. Identifying these duplicate records can also be tricky. Duplicates can appear because of careless data input, merging records from old systems into new systems, uploading leads from purchased lists, and multiple other reasons. Having duplicate records in a database is an age-old problem that almost every organization has to deal with.
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