Prerequisites
Before we begin, make sure the following prerequisites are met:
- SQL Server Data Tools (SSDT) designer installed for Visual Studio.
- SQL Server Integration Services Projects 2022+ Visual Studio extension installed.
- SSIS PowerPack is installed.
Delete index in SSIS
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Open Visual Studio and click Create a new project.
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Select Integration Services Project. Enter a name and location for your project, then click OK.
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From the SSIS Toolbox, drag and drop a Data Flow Task onto the Control Flow surface, and double-click it:
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Make sure you are in the Data Flow Task designer:
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From the SSIS toolbox drag and API Source (Predefined Templates) on the data flow designer surface, and double click on it to edit it:
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Select New Connection to create a new connection:
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Use a preinstalled ElasticSearch Connector from Popular Connector List or press Search Online radio button to download ElasticSearch Connector. Once downloaded simply use it in the configuration:
ElasticSearch
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Select your authentication scenario below to expand connection configuration steps to:
- Configure the authentication in ElasticSearch.
- Enter those details into the API Connection Manager configuration.
Basic Authentication (UserId/Password)
ElasticSearch authentication
For Local / Hosted Instance by you
- Get your userid / password and enter on the connection UI
For Managed Instance (By Bonsai search)
If your instance is hosted by bonsai then perform these steps to get your credentials for API call- Go to https://app.bonsai.io/clusters/{your-instance-id}/tokens
- Copy Access Key and Access Secret and enter on the connection UI. Click Test connection.
- If your Cluster has no data you can generate sample data by visiting this URL and click Add Sample Data https://{your-cluster-id}.apps.bonsaisearch.net/app/home#/tutorial_directory
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
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Set Authentication Type to
Basic Authentication (UserId/Password) [Http] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Finally, hit OK button:
ElasticSearchBasic Authentication (UserId/Password) [Http]http://localhost:9200Optional Parameters User Name (or Access Key) Password (or Access Secret) Ignore certificate related errors
Find full details in the ElasticSearch Connector authentication reference.Windows Authentication (No Password)
ElasticSearch authentication
No instructions available.
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
Windows Authentication (No Password) [Http] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Finally, hit OK button:
ElasticSearchWindows Authentication (No Password) [Http]http://localhost:9200Optional Parameters Ignore certificate related errors
Find full details in the ElasticSearch Connector authentication reference. -
Select Delete Index endpoint from the dropdown and hit Preview Data:
API Source - ElasticSearchRead and write Elasticsearch data effortlessly. Integrate, manage, and automate indexes and documents — almost no coding required.ElasticSearchDelete IndexRequired Parameters Index to delete Fill-in the parameter... Optional Parameters ContineOn404Error True ConsumeResponseOnError True
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That's it! We are done! Just in a few clicks we configured the call to ElasticSearch using ElasticSearch Connector.
You can load the source data into your desired destination using the Upsert Destination , which supports SQL Server, PostgreSQL, and Amazon Redshift. We also offer other destinations such as CSV , Excel , Azure Table , Salesforce , and more . You can check out our SSIS PowerPack Tasks and components for more options. (*loaded in Trash Destination)
Deploy SSIS package to Azure Data Factory (ADF)
Once your SSIS package is complete,
deploy it to the
Azure-SSIS runtime
within Azure Data Factory.
The setup process requires you
to upload the
SSIS PowerPack
installer to Azure Blob Storage
and then customize the runtime configuration using the main.cmd file.
For a complete walkthrough of these steps,
see our detailed guide on the
Azure Data Factory (SSIS) and ElasticSearch integration.
ElasticSearch Connector actions
Need another use case? Pick the next ElasticSearch action in Azure Data Factory (SSIS) below.
- Count documents
- Create Index
- Delete documents
- Get document by ID from Index or Alias
- Get documents from Index or Alias
- Get Index or Alias metadata
- Insert documents
- List aliases
- List indexes
- Search / Query documents
- Update documents
- Upsert documents
- Make Generic REST API Request
- Make Generic REST API Request (Bulk Write)
Conclusion
You now know how to delete index in Azure Data Factory (SSIS) without writing complex code. SSIS ElasticSearch Connector handled pagination and authentication automatically.
Ready to get started? Download the trial or ping us via chat if you need help: