Like SQL Server, Oracle is an enterprise ready database. I want to do it using a query because I want to use the query in automation I want to: Export table from sql server database to a comma delimited csv file without using sql Server import export wizard. From the Object Explorer, select a database, right click and from the context menu in … Go to SQL Server Management Studio (SSMS) and connect to an SQL instance. In this article, we'll just set up the server and make a GET request to it, but json-server can also POST and save objects as well as more advanced uses.One way to export SQL Server data to CSV is by using the SQL Server Import and Export Wizard. This way, the mock data is completely separate from the client-side code and it can be switched out once the project is ready for a real API. Json-server is a very light Node.js tool that can allow a frontend developer to define some API endpoints and sets of data that can be returned to a client application. Now that we have some data, let's create a fake server that we can fetch it from. I'll click the Preview button to make sure my objects look like what I expect, then click Download Data to save it as a JSON file. Again, this is what my Mockaroo form looks like: I'll also select array and deselect include null values. Now that my data objects are defined, I'll select # Rows: 100 and Format: JSON from the bottom of the form. This will randomly select one item from that array and return it. I'm going to click the fx button for the fileType row and add the following: Mockaroo allows us to write functions in Ruby to allow values to be transformed before returning. For the active property (which indicates if our file has been deleted or not), I can return a boolean.įileType: For file types, I'd like my application to only allow Microsoft Word, Excel, and PDF files to be used, so in Mockaroo, I'll use a custom function to populate those values. This will help with fetching individual records from our fake API further on in this article.įileName and email: For these two properties, Mockaroo can generate realistic random values by searching for and selecting the File Name and Email types respectively.ĬreatedDate and active: For the createdDate, I can use Mockaroo's Datetime type and set it to return an ISO date which Javascript can parse, and I've set it to return dates from the past year. Id: For this field, I selected the Row Number data type which will number all of the records in order. The rest of this tutorial will still work.īelow you can see the settings that I selected for the mock data object above: Below, I'll create settings for each of the properties in our file metadata object, but feel free to add and change anything you find that's interesting. You can customize the behavior further by passing values through your own functions. Many of the data types have settings to further customize what gets generated. Play around with the different data types that they offer and you'll see it can generate random data for a wide range of situations. The first part of Mockaroo is a form for adding properties to our mock data objects. Mockaroo has a variety of subscription-based utilities for creating mock APIs, but for this demonstration we'll use it for basic mock data generation which we can do for free. Now that we have an idea of what our data looks like, we can use Mockaroo, a browser-based tool that can generate thousands of realistic looking records for us. Step two: Generate mock data with Mockaroo To get started, create a tiny web project that'll consist of just an HTML page and a JSON file to will hold our fake data:Įnter fullscreen mode Exit fullscreen mode I use http-server and it's fast and really simple, but there are several other options.
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