This is known as the table's primary key, and you use it to identify each row in the table. IDįor most database tables, the table has to have a column that contains a unique identifier, like a customer number, account number, etc. Each column (sometimes referred to as fields) contains a value for each type of data: first name, last name, and so on. In database terms, each row is often referred to as a record. For each entry in the address book (that is, for each person) you have several pieces of information such as first name, last name, address, email address, and phone number.Ī typical way to picture data like this is as a table with rows and columns. You can use ASP.NET Web Pages 3 and Visual Studio 2013 (or Visual Studio Express 2013 for Web) however, the user interface will be different. This tutorial also works with WebMatrix 3. Working with a Microsoft SQL Server Compact Edition database.These are the features introduced in the article:
How to insert, update, and delete database records.Val sflight = article describes how to use Microsoft WebMatrix tools to create a database in an ASP.NET Web Pages (Razor) website, and how to create pages that let you display, add, edit, and delete data. Val jdbcUrl = s"jdbc:sap://$")ĬtProperty("Driver", driverClass) The below script, written in the Scala language ( thanks for good documentation!), reads and displays data stored in the SFLIGHT table: %scala My Databricks cluster is deployed to the same virtual network as the SAP HANA database so I don’t need to create peering between vnets. With the libraries installed we can check the connectivity to the database and read sample data. In my case, it took around 1-2 minutes and afterward the status changed to Installed.
On the next screen select the cluster on which you wish to install the library.
The library name will populate automatically and you can confirm library creation by clicking the Create button. Open the target workspace (you can choose your own or the shared one) and create a new library.ĭrag and drop the previously downloaded file to the grey area of the screen. Once the file is downloaded we can publish it in the Azure Databricks library.
We are interested in a small Java file ngdbc which we need to download – and then upload to Azure Databricks. The Azure Databricks supports using external libraries to connect to external systems, so the entire process is very straightforward! The JDBC adapter for SAP HANA is part of the database client libraries and can be downloaded from the SAP Support Launchpad or the SAP Development Tools. SAP HANA database can be accessed using the JDBC drivers. I know few people were interested in this topic so I’m happy I finally found time to write this short tutorial. Today I will continue the topic and I would like to show you how to consume data stored in SAP HANA from the Azure Databricks.
It has been a couple of weeks since I blogged last time, but I think I’m now on track with other projects and I’m happy to continue the SAP on Azure series! In the past few episodes, I focused on the integration of the SAP system with Azure data platform services.