Peter Lalovsky


SQL Server CLR: Create SQL Server Assembly to Read/Write from/to REST API

In this example we’ll create SQL Server Common Language Runtime (CLR) to read/write from/to REST API. Technology used: Visual Studio 2019 (C# Windows .NET Class Library) SQL Server 2019 (on premises) Authentication: Basic (base64 encoded Username:Password) Requests: HTTP SQL GET SELECT POST INSERT Visual Studio 2019 Create new C#, Windows, […]


C#, Azure: Create REST API Server on-premises or in Azure App Service

This example explains how to create REST API server. It could be deployed on-premises or in Azure (cloud). Technology used: Visual Studio 2019 (C# Windows Web App) SQL Server 2019 (on premises) Azure Authentication: Basic (base64 encoded Username:Password) Requests: HTTP SQL GET SELECT POST INSERT PUT UPDATE DELETE DELETE Database […]


Azure Data Factory (ADF): Dynamic Extract Driven by SQL Server Table

In this example we create ADF pipeline that extracts from SQL Server and saves in CSV files in Data Lake. The point is just to demonstrate the logic so you can edit it as you need. The extract is driven by SQL Server table with all the parameters for a […]


Azure Databricks: Read/Write files from/to Azure Data Lake

Upload file result.csv into Azure Data Lake (in mystorageaccount/mycontainer). Databricks commands: spark.conf.set() define the access key for the connection to Data Lake. The access key can be found in Azure Portal. To list a folder in ADLS, use dbutils.fs.ls(). To read a file in ADLS, use spark.read(). The result is […]


Azure Databricks: Extract from REST API and save JSON file in Azure Data Lake

Databricks commands: Import library requests to be able to run HTTP requests. Define the parameters, the Basic Authentication attributes (username, password) and execute GET request. spark.conf.set() define the access key for the connection to Data Lake. The access key can be found in Azure Portal. Define the destination folder path […]