A computer language that is designed to communicate with the database. SQL stands for Structured Query Language. And you require a homemade parser to convert the CSV data into a native data structure. But its main drawback is that it's not versatile as XML and JSON. Many companies rely on that format to import and export complex data (customers and order data) from their database. It is used to export the complex data from one application in CSV format and then import that CSV data to another application. īecause it converts the tabular data into plain text, companies export a high volume of data into a more robust database, such as customers or orders data, to and from their database, by using that file extension. Therefore, the implementation of the CSV file requires CSV Escape/Unescape. But that is not the right solution because some fields may need embedded quotation marks. CSV implementation may use quotation marks to surround that field. The commas are used to separate the fields, but the things become complicated, with the fields in itself, contains the commas or embedded line breaks. csv extension and is used with most spreadsheet programs, like Microsoft Excel or Google Spreadsheets.īut one problem with that file format, that it is not fully standardized. These files sometimes also knowns as Character Separated Values or Comma Delimited files because the characters in this file are separated by a comma or delimited by a comma. Usually, the first line of the CSV file contains the table data labels, and each subsequent line will have the same number of fields. So in simple words, CSV is a comma-separated values file that stores the tabular data in plain text format. And each record contains the fields that are separated from each other through commas. Each line in the CSV file is a data record. A comma-separated values file is a plain text file that contains the data.
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