Instructions on how to compile GPlates from source may be found in the GPlates source-code releases, in the files:. A sample set of these data-files are also contained within the GPlates installation packages, and will be automatically installed with GPlates. As is, it writes the entire file contents to memory, and then copies that memory to the result. So a large file would exist twice in memory before anything is written to the response stream.
I was curious about FileStreamResult but wasn't able to get that working. So I realized I can adapt the code above to use FileStreamResult by replacing the last block with this:. This works almost the same except that, instead of calling memoryStream. GetBuffer to copy all the bytes, it just passes the memory stream object. This is an improvement as I am not needlessly copying the bytes. However, the downside is that I have to remove my two using statements or else I'll get an exception:.
Looks like it's a trade off between copying the bytes an extra time or not cleaning up my streams and CSV writer. In the end, I'm able to prevent the CSV writer from closing the stream when it's disposed, and since MemoryStream does not have unmanaged resources there should be no harm in leaving it open. The product csv can be downloaded in CSV format. The product statistics file contains a little over rows of data for testing your web app.
Sample CSV file for users help you to analyze user data quickly for performance testing. The sample data in this user CSV, help you in performance testing your app. CSV is a simple file format that is used to store table data, such as a spreadsheet or database and file can easily be imported and exported using software that store data in tables, such as Microsoft Excel.
Its data fields are often separated by commas. Here, the fields of data in each row are separated with a comma and the individual rows are separated by a new line. You can also create this file in either Excel, Google Sheets or by using Notepad, you can save it with. So, we can continue with an additional step to show that working with multiple locations is as easy as working with one. To add a second location, we need to click on the Locations button at the top of the window and then follow the steps from earlier to add an additional location manually.
For this exercise, we can add any location that interests us, including international locations such as Paris France. Then, when we rerun the weather query, we can see that the calendar view now shows the two locations together for comparison. If we gave each location a friendly name earlier, that name will be shown in the calendar view to allow us to easily differentiate them.
We could also switch to the grid view to see more details in our data. We can then load this CSV into nearly any type of analysis tool. For example, tools such as Microsoft Excel, many business intelligence packages, and nearly all database systems readily accept CSV data as input.
Since CSV is a very standard data file format you will be able to easily load this same file into nearly any data analysis tool.
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