![]() ![]() If you need something that supports multiple databases in one package DbVisualizer is a comprehensive package although it lacks some key features. The fact that its also still based on Java means its probably more functional and useful on Windows than on Mac so if you're deciding which platform to install it on, go for Windows. However, there are no such things as auto table completion and no SSH tunnel manager. The installer has been designed with selling the product in mind so don't be surprised to be prompted to purchase it before its even installed! There have been hundreds of little improvements to the latest version of DbVisualizer, including a new SQL editor, support for SQLite and new Excel export functions. Create a new workbook or blank spreadsheet in the program.The first thing you'll notice with DbVisualizer is that it takes ages to install.Open up your spreadsheet program independently.Instead, proceed with the following steps. However, do NOT double-click the file to open it. Most CSV files will open up directly into your computer's installed Spreadsheet program. You will have a CSV file on your computer. Export your CSV file from the Shift4Shop Ecommerce Software Online Store Manager.The exact steps differ depending on the spreadsheet program being used but the basic process is as follows: During the import of text data, your spreadsheet program will give you the option to have the spreadsheet program format the data as "text" so that mathematical formatting is not used on your CSV file's numbers. To work around this problem, the best thing is to not open the file directly into the spreadsheet program, but rather import the text file (CSV) data into the spreadsheet program while it is already open. You will see the exported data exactly as it is formatted by the Shift4Shop software before the format is changed by your spreadsheet program. To verify that your exported data is in fact formatted correctly, try opening the CSV file into a text program like notepad. It's not that the CSV file exported from your store is formatted incorrectly, but rather that the spreadsheet program applied numerical formatting to those cells when opening it directly. So numbers with leading zeroes are converted to whole numbers and numbers that are long integers such as phone numbers and UPC code numbers are converted by the spreadhseet application into exponential numbers like 8.01E+09. Unfortunately, when opening a CSV text file directly into a spreadsheet program like Excel, the data - if numerical - is converted by the program to be shown in a mathematical format. Fortunately, CSV files have the advantage of being read in a spreadsheet program, which allows the file to be read in organized columns and rows. These text files can be difficult to read as just straight text. A CSV file is nothing more than a text file with its data values separated by commas (hence the name "comma separated values" or CSV). ![]() Instead, this is due to the way Excel and other spreadsheet programs open a CSV file and display the data therein.īasically, spreadsheet programs are designed to be used for calculation purposes, so they tend to apply mathematical formats to numbers when the CSV file is opened directly into the program. To be clear, the reason these problems occur is not due to the way Shift4Shop creates your export data. Unfortunately, saving the file in your spreadsheet program and re-uploading the CSV data to your store will then permanently change the record(s) to those displayed values. When exporting CSV data from your store, you may sometimes notice that large numbers are converted into scientific or exponential numbers in the cells of your spreadhseet program.įor example, when exporting the customer records CSV file, and a customer's phone number is listed as 8008286650 upon opening up the file in Excel, you'll have the number shown as 8.01E+09 or something similar.Ī similar issue occurs when numerical data in your store contains zeroes at the start of the number, but upon opening the file in your spreadsheet program, the leading zeroes are removed.Īn example of this can be seen if your products have part or MFGID numbers like 000986543219 but upon opening the exported file in the spreadsheet program, the numbers are shown as 986543219. ![]()
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