![]() Since the header and the delimiter is known, the query can now be written. In this case, the delimiter is ‘,’ and there is a header in the file: The second step in copying data from CSV is to check the delimiter and the third step is to check for a header. Now that a table, ‘items,’ has been created to house the data from the csv file, we can start writing our query. Note: It is also possible to import the csv data to a table with more than 2 columns, however the columns that should be copied to will need to be specified in the query (e.g. ![]() It must have at least two columns, one a VARCHAR type and the other a MONEY type: The first step, as stated before, is to create the table. This will help in creating the table to load the CSV file into. This data contains two columns: ‘name’ and ‘price.’ Name appears to be a VARCHAR due to it’s different lengths. If there is not a header in the data, do not include HEADER. Create or assign a primary identity column with the namespace created. If a header is present, include HEADER at the end of the query. Create a field group with that datatype to store the derived attribute information. A Header is a file which contains the column names as the first line of values in the file. ![]()
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