Azure Blob JSON File Connector for SSISIn this article you will learn how to quickly and efficiently integrate Azure Blob JSON File data in SSIS without coding. We will use high-performance Azure Blob JSON File Connector to easily connect to Azure Blob JSON File and then access the data inside SSIS.
Azure Blob JSON File Connector can be used to read JSON Files stored in Azure Blob Container. Using this you can easily integrate Azure Blob Storage JSON File data. It's supports latest security standards, and optimized for large data files. It also supports reading compressed files (e.g. GZip /Zip). Let's follow the steps below to see how we can accomplish that! Azure Blob JSON File Connector for SSIS is based on ZappySys Native SSIS Connector Framework which is a part of SSIS PowerPack. It is a collection of high-performance SSIS connectors that enable you to integrate data with virtually any data provider supported by SSIS, including SQL Server. SSIS PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few (if you are new to SSIS and SSIS PowerPack, find out more on how to use them). Contents
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Connect to Azure Blob JSON File in other apps
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Prerequisites
Before we begin, make sure the following prerequisites are met:
- SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft).
- Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
- SSIS PowerPack is installed (if you are new to SSIS PowerPack, then get started!).
Read data from Azure Blob JSON File in SSIS using Azure Blob JSON File Source (Export data)
In this section we will learn how to configure and use Azure Blob JSON File Connector in the API Source to extract data from the Azure Blob JSON File using Azure Blob JSON File Source
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Begin with opening Visual Studio and Create a New Project.
Select Integration Service Project and in new project window set the appropriate name and location for project. And click OK.
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In the new SSIS project screen you will find the following:
- SSIS ToolBox on left side bar
- Solution Explorer and Property Window on right bar
- Control flow, data flow, event Handlers, Package Explorer in tab windows
- Connection Manager Window in the bottom
Note: If you don't see ZappySys SSIS PowerPack Task or Components in SSIS Toolbox, please refer to this help link. -
Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.
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From the SSIS toolbox drag and drop Azure Blob JSON File Source on the dataflow designer surface
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Double click on Azure Blob JSON File Source component to configure it.
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Create and configure a connection for the Azure Blob storage account.
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You can use select your desired single file by clicking [...] path button.
myblob/dbo.tblNames.jsondbo.tblNames.json
----------OR----------You can also read the multiple files stored in Azure Blob Storage using wildcard pattern supported e.g. dbo.tblNames*.json.
Note: If you want to operation with multiple files then use wild card pattern as below (when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash) myblob/dbo.tblNames.json (will read only single .JSON file) myblob/dbo.tbl*.json (all files starting with file name) myblob/*.json (all files with .json Extension and located under folder subfolder)
myblob/dbo.tblNames*.json
----------OR----------You can also read the zip and gzip compressed files also without extracting it in using Azure Blob JSON File Source.
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Now select/enter Path expression in Path textbox to extract only specific part of JSON string as below ($.value[*] will get content of value attribute from JSON document. Value attribute is array of JSON documents so we have to use [*] to indicate we want all records of that array)
NOTE: Here, We are using our desired filter, but you need to select your desired filter based on your requirement.Click on Preview button to view the parsed JSON string response data and click OK.
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That's it; we are done. In a few clicks we configured the to Read the Azure Blob JSON File data using ZappySys Azure Blob JSON File Connector
Load Azure Blob JSON File data into SQL Server using Upsert Destination (Insert or Update)
Once you configured the data source, you can load Azure Blob JSON File data into SQL Server using Upsert Destination.
Upsert Destination can merge or synchronize source data with the target table.
It supports Microsoft SQL Server, PostgreSQL, and Redshift databases as targets.
Upsert Destination also supports very fast bulk upsert operation along with bulk delete.
Upsert operation
- a database operation which performs INSERT or UPDATE SQL commands
based on record's existence condition in the target table.
It
Upsert Destination supports INSERT, UPDATE, and DELETE operations,
so it is similar to SQL Server's MERGE command, except it can be used directly in SSIS package.
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From the SSIS Toolbox drag-and-drop Upsert Destination component onto the Data Flow designer background.
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Connect your SSIS source component to Upsert Destination.
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Double-click on Upsert Destination component to open configuration window.
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Start by selecting the Action from the list.
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Next, select the desired target connection or create one by clicking <New [provider] Connection> menu item from the Target Connection dropdown.
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Then select a table from the Target Table list or click New button to create a new table based on the source columns.
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Continue by checking Insert and Update options according to your scenario (e.g. if Update option is unchecked, no updates will be made).
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Finally, click Map All button to map all columns and then select the Key columns to match the columns on:
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Click OK to save the configuration.
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Run the package and Azure Blob JSON File data will be merged with the target table in SQL Server, PostgreSQL, or Redshift:
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Done!
Deploy and schedule SSIS package
After you are done creating SSIS package, most likely, you want to deploy it to SQL Server Catalog and run it periodically. Just follow the instructions in this article:
Running SSIS package in Azure Data Factory (ADF)
To use SSIS PowerPack in ADF, you must first prepare Azure-SSIS Integration Runtime. Follow this link for detailed instructions:
Conclusion
In this article we showed you how to connect to Azure Blob JSON File in SSIS and integrate data without any coding, saving you time and effort. We encourage you to download Azure Blob JSON File Connector for SSIS and see how easy it is to use it for yourself or your team.
If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.
Download Azure Blob JSON File Connector for SSIS Documentation
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