Generating U-SQL Extract Scripts From Visual Studio

Yanan Cai shows a GUI for creating U-SQL EXTRACT scripts via Azure Data Lake Tools for Visual Studio:

One of U-SQL’s core capabilities is to be able to schematize unstructured data on the fly without having to create a metadata object for it. This capability is provided by the EXTRACT expression that will invoke either a user-defined extractor or built-in extractor to process the input file or set of files specified in the FROM clause and produces a rowset whose schema is specified in the EXTRACT clause.

While using the build-in extractor to schema semi-structured data, like data in .csv file, the schema definition in U-SQL is slow and error prone, especially for the .csv file contains hundreds of columns.

Recently, we released a new feature in the latest version of Azure Data Lake Tools for Visual Studio to help you generate this U-SQL EXTRACT statement automatically.

Click through for an example as well as a video showing the process.

Related Posts

Data Lakes And Data Swamps

Randolph West talks about data lakes: Internet companies including search engines (Google, Bing), social media companies (Facebook, Twitter), and email providers (Yahoo!, Outlook.com) are managing data stores measured in petabytes. On a daily basis these organizations handle all sorts of structured and unstructured data. Assuming they put all their data in one repository, that could […]

Read More

Creating SQL Server Images In Azure Container Registry

Andrew Pruski shows us how to save Docker container images to the Azure Container Registry using Powershell: Awesome! Our custom image is in our ACR! But has it worked? Has it really? Oh ye of little faith… I guess the only way to find out is to run a container! So let’s run a Azure […]

Read More

Categories

August 2017
MTWTFSS
« Jul Sep »
 123456
78910111213
14151617181920
21222324252627
28293031