JSON File Connector for SSISJSON File Connector can be used to extract and output JSON data stored in local files or direct JSON String (variables or DB columns). JSON Connector also supports JSONPath to filter data from nested array/sub-documents. This Connector is optimized to work with very large files. If you are new with SSIS and ZappySys SSIS PowerPack then check below links to get started.
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Connect to JSON File in other apps
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Video Tutorial - Integrate JSON File data in SSIS
This video covers following and more so watch carefully. After watching this video follow the steps described in this article.
- How to download / install required driver for
JSON File integration in SSIS - How to configure connection for
JSON File - Features about
JSON Source (Authentication / Query Language / Examples / Driver UI) - Using
JSON File Connection in SSIS
Prerequisites
Before we perform steps listed in this article, you will need to make sure following prerequisites are met:- SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft site).
- Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
- Make sure ZappySys SSIS PowerPack is downloaded and installed (download it). Check Getting started section for more information.
- Optional (If you want to Deploy and Schedule ) - Deploy and Schedule SSIS Packages
How to read data from JSON File in SSIS (Export data)
In this section we will learn how to configure and use JSON File Connector in the API Source to extract data from the JSON File.
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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 JSON Source on the dataflow designer surface
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Double click on JSON Source component to configure it.
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From the Access Mode dropdown select [File path or web Url] and you can use select single file by clicking [x] path button or multiple file using wildcard pattern in path.
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) C:\SSIS\Test\reponse.json (will read only single reponse.json file) C:\SSIS\Test\j*.json (all files starting with file name) C:\SSIS\Test\*.json (all files with .json Extension and located under folder subfolder)
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Now enter JSONPath expression in JSONPath textbox to extract only specific part of JSON file.
Click on Preview button to view the parsed JSON string response data and click OK. -
That's it; we are done. In a few clicks we configured the call to JSON File using ZappySys JSON File Connector
Read large JSON file in SSIS (3 Million Rows in 3 Mins)
Using ZappySys SSIS JSON Source you can read large JSON File (Process 3 Million rows in 3 minutes – 1.2 GB file). Using --FAST Expression and other options.
If you use default settings to read data then it may result into OutOfMemory Exception so we will outline few techniques which will enable high performance Streaming Mode rather than In-memory load of entire file.
Please refer to this article for the same: How to read large XML / JSON file in SSIS
Load JSON File data in SQL Server using Upsert Destination (Insert or Update)
Once you read data from the desired source, now let's see how to Load JSON File data in SQL Server using Upsert Destination. Upsert Destination can Merge/Synchronize data from source to target for Microsoft SQL Server, PostgreSql and Redshift. It supports very fast Bulk Upsert (Update or Insert) operation along and Bulk delete.
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From the SSIS toolbox drag and drop Upsert Destination on the dataflow designer surface
Connect our Source component to Upsert Destination
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Double click on Upsert Destination component to configure it.
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Select the desired Microsoft SQL Server/PostgreSql/Redshift Target Connection or click NEW to create new connection. Select Target Table or click NEW to create new table based on source columns.
Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS -
Set Action to Upsert => (insert if not matching in target else update). Select Target Connection and Target Table. Check on Insert and Update. Click on Map All to Mappings all columns and check on Only Primary Key columns.
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Click on OK to save Upsert Destination settings UI.
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That's it. Run the SSIS Package and it will read the data from the JSON File and load the data in the SQL Server/PostgreSql/Redshift using Upsert Destination.
Conclusion
In this article we discussed how to connect to JSON File in SSIS and integrate data without any coding. Click here to Download JSON File Connector for SSIS and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).
Download JSON File Connector for SSIS
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