Sometimes you would like to view only specific Schemas. Default Folders are Tables, System Tables, Views, Indexes, Triggers, Procedures, Functions. You can Create, Edit or Delete Object Folders. Exclude Objects: A list of objects to exclude after the main filter is applied.Include Objects: A list of objects to include after the main filter is applied.Filter Objects: Allows the user to specify the main schema browser filter for object types, on whether to include or exclude all.Exclude Databases/Schemas: A list of databases/schemas to exclude after the main filter is applied.Include Databases/Schemas: A list of databases/schemas to include after the main filter is applied.Filter Databases/Schemas: Allows the user to specify the main schema browser filter for databases or schemas, on whether to include or exclude all.Go to the Filter Tab and make changes in the Options. Using Filters Options in Registration (Filter Tab)Įdit the Server Properties, to use FILTER options for a Server in Aqua Data Studio: Using the Keyboard combination "CTRL + SHIFT + P", you may quickly access Server Properties and edit Tab Coloring options. Right-click on the Server - A Popup Menu Appears.Ĭlick on the Item which displays Server Properties.īased on the Server Type, you can edit the Tab Coloring option to identify your environments. To Identify Server Environments, whether it is a Production, Development or Test, use Tab Coloring feature : Server Connections (Connection Monitor Tab).Using Advanced Properties (Advanced Tab).Using Filters Options in Registration (Filter Tab). ![]() You can either get a free trial or just use any other database system.Snowflake registrations should be straight forward. Keep tuned for part 2, where the function is published and tested! Next StepsĮdition of Visual Studio you can use. return req.CreateResponse(HttpStatusCode.OK) return new OkObjectResult( new ) return req.CreateResponse(HttpStatusCode.InternalServerError, e.Message) return new BadRequestObjectResult(e.Message) Log.LogError(e, "Error processing request") Statements.Add(()) ĪffectedRows = client.ExecuteNonQuery(statements.ToArray()) String requestBody = await new StreamReader(req.Body).ReadToEndAsync() ĭynamic command = JsonConvert.DeserializeObject(requestBody) Var client = new SnowflakeClient(m圜onnectionString) AddJsonFile( "", optional: true, reloadOnChange: true) SetBasePath(context.FunctionAppDirectory) Public static class SnowflakeExecuteQuery The statements need to be executed one by one over the same connection. ![]() Of strings is passed since Snowflake cannot execute multiple SQL statements in a No result set is expected, just the number of rows affected by the query. NET - will take an array of strings containing SQL statementsĪnd execute them against Snowflake. The class has a connection string as property. Using (IDbConnection conn = new SnowflakeDbConnection())Ĭonn.ConnectionString = nnectionString / public int ExecuteNonQuery( params string statements) / Snowflake is not able to execute multiple SQL statements in one batch. / /// Executes a sequence of Snowflake statements that are not expected to return a result set. / public SnowflakeClient( string connectionString) ![]() / /// Initializes a new instance of the SnowflakeClient class. Private readonly string connectionString / /// A client for submitting queries to Snowflake. New project in Visual Studio, choose the Azure Function project template: In the second part, we'll deploy it to Azure and test it in the Azure Portal.Īlthough it's possible to create a Function in the Azure Portal, the developmentĮxperience is much better in Visual Studio, where you have syntax highlighting,Īutocomplete and the possibility to easily add NuGet packages. Write the Azure Function in Visual Studio and configure the connection string securely. Once the Azure Function is finished, it can be integrated into Azure Data Factory,īut that's a subject for another tip. This article gives an overview of the main differences between the two versions. Snowflake Connector for Azure Data Factory – Part 1 by Jess Pani offersĪ great start, however his code examples are for Azure Functions v1, while we will ![]() Another method would be to useĪzure Functions, which offer serverless compute for small applications. A possibility is to use custom tasks, as explained in Since there's no native connector in Azure Data Factory (ADF), we need For an introduction to Snowflake and their offerings, I refer to This data warehouse can be hosted on all major cloud platforms (Azure, AWS and GoogleĬloud). Snowflake is a database vendor who offer a cloud native data warehouse solution.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |