ElasticSearch Connector for SSIS Read / write ElasticSearch data inside your app; perform many ElasticSearch operations without coding, just use easy to use high performance API Connector for ElasticSearch In this article you will learn how to quickly and efficiently integrate ElasticSearch data in SSIS without coding. We will use high-performance ElasticSearch Connector to easily connect to ElasticSearch and then access the data inside SSIS. Let's follow the steps below to see how we can accomplish that! Download Documentation ElasticSearch Connector for SSIS is based on ZappySys API 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).

Connect to ElasticSearch in other apps Connect to ElasticSearch in SQL Server Connect to ElasticSearch in Power BI Connect to ElasticSearch in SSRS Connect to ElasticSearch in Informatica Connect to ElasticSearch in MS Access Connect to ElasticSearch in MS Excel Connect to ElasticSearch in SSAS Connect to ElasticSearch in C# Connect to ElasticSearch in Python Connect to ElasticSearch in JAVA Connect to ElasticSearch in Tableau Connect to ElasticSearch in SAP Crystal Reports Connect to ElasticSearch in Azure Data Factory (Pipeline) Connect to ElasticSearch in Azure Data Factory (SSIS) Connect to ElasticSearch in Talend Studio Connect to ElasticSearch in UiPath Connect to ElasticSearch in PowerShell Connect to ElasticSearch in ODBC

Video Tutorial - Integrate ElasticSearch data in SSIS

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

• How to download and install the required PowerPack for ElasticSearch integration in SSIS
• How to configure the connection for ElasticSearch
• Features of the ZappySys API Source (Authentication / Query Language / Examples / Driver UI)
• How to use the ElasticSearch in SSIS

Prerequisites

Before we begin, make sure the following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. SSIS PowerPack is installed (if you are new to SSIS PowerPack, then get started!).

Read data from ElasticSearch in SSIS (Export data)

1. Begin with opening Visual Studio and Create a New Project.

2. Select Integration Service Project and in new project window set the appropriate name and location for project. And click OK.

3. In the new SSIS project screen you will find the following:

   1. SSIS ToolBox on left side bar
   2. Solution Explorer and Property Window on right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. 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.

4. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.

   

5. From the SSIS toolbox drag and API Source (Predefined Templates) on the data flow designer surface, and double click on it to edit it:
   

6. Select New Connection to create a new connection:
   

7. 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

   

8. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    Basic Authentication (UserId/Password) [Http]

   Steps how to get and use ElasticSearch credentials
   

   For Local / Hosted Instance by you

   1. 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

   1. Go to https://app.bonsai.io/clusters/{your-instance-id}/tokens
   2. Copy Access Key and Access Secret and enter on the connection UI. Click Test connection.
   3. 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

   
   Configuring authentication parameters
   

   ElasticSearch

   Basic Authentication (UserId/Password) [Http]

   http://localhost:9200

   Optional Parameters
   User Name (or Access Key)
   Password (or Access Secret)
   Ignore certificate related errors

   

    Windows Authentication (No Password) [Http]

   
   Configuring authentication parameters
   

   ElasticSearch

   Windows Authentication (No Password) [Http]

   http://localhost:9200

   Optional Parameters
   Ignore certificate related errors

   

9. Select the desired endpoint, change/pass the properties values, and click on Preview Data button to make the API call.

   API Source - ElasticSearch

   Read / write ElasticSearch data inside your app; perform many ElasticSearch operations without coding, just use easy to use high performance API Connector for ElasticSearch

   

10. 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)

    

Write data to ElasticSearch using SSIS (Import data)

Step-by-step instructions

In upper section we learned how to read data, now in this section we will learn how to configure ElasticSearch in the API Source to POST data to the ElasticSearch.

1. Read the data from the source, being any desired source component. In example we will use ZappySys Dummy Data Source component.

2. From the SSIS Toolbox drag and drop API Destination (Predefined Templates) on the Data Flow Designer surface and connect source component with it, and double click to edit it.
   

3. Select New Connection to create a new connection:
   

   API Destination - ElasticSearch

   Read / write ElasticSearch data inside your app; perform many ElasticSearch operations without coding, just use easy to use high performance API Connector for ElasticSearch

   

4. 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

   

5. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    Basic Authentication (UserId/Password) [Http]

   Steps how to get and use ElasticSearch credentials
   

   For Local / Hosted Instance by you

   1. 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

   1. Go to https://app.bonsai.io/clusters/{your-instance-id}/tokens
   2. Copy Access Key and Access Secret and enter on the connection UI. Click Test connection.
   3. 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

   
   Configuring authentication parameters
   

   ElasticSearch

   Basic Authentication (UserId/Password) [Http]

   http://localhost:9200

   Optional Parameters
   User Name (or Access Key)
   Password (or Access Secret)
   Ignore certificate related errors

   

    Windows Authentication (No Password) [Http]

   
   Configuring authentication parameters
   

   ElasticSearch

   Windows Authentication (No Password) [Http]

   http://localhost:9200

   Optional Parameters
   Ignore certificate related errors

   

6. Select the desired endpoint, change/pass the properties values, and go to the Mappings tab to map the columns.

   API Destination - ElasticSearch

   Read / write ElasticSearch data inside your app; perform many ElasticSearch operations without coding, just use easy to use high performance API Connector for ElasticSearch

   

7. Finally, map the desired columns:

   API Destination - ElasticSearch

   Read / write ElasticSearch data inside your app; perform many ElasticSearch operations without coding, just use easy to use high performance API Connector for ElasticSearch

   

8. That's it; we successfully configured the POST API Call. In a few clicks we configured the ElasticSearch API call using ZappySys ElasticSearch Connector

   

Load ElasticSearch data into SQL Server using Upsert Destination (Insert or Update)

Once you configured the data source, you can load ElasticSearch 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.

1. From the SSIS Toolbox drag-and-drop Upsert Destination component onto the Data Flow designer background.

2. Connect your SSIS source component to Upsert Destination.

3. Double-click on Upsert Destination component to open configuration window.

4. Start by selecting the Action from the list.

5. Next, select the desired target connection or create one by clicking <New [provider] Connection> menu item from the Target Connection dropdown.

6. Then select a table from the Target Table list or click New button to create a new table based on the source columns.

7. Continue by checking Insert and Update options according to your scenario (e.g. if Update option is unchecked, no updates will be made).

8. Finally, click Map All button to map all columns and then select the Key columns to match the columns on:

   

9. Click OK to save the configuration.

10. Run the package and ElasticSearch data will be merged with the target table in SQL Server, PostgreSQL, or Redshift:

    

11. 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:

• How to design, debug, deploy, schedule SSIS Package (In SQL Agent and Catalog)

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:

• Preparing ADF instance to use SSIS PowerPack

Actions supported by ElasticSearch Connector

ElasticSearch Connector supports following actions for REST API integration:

Conclusion

In this article we showed you how to connect to ElasticSearch in SSIS and integrate data without any coding, saving you time and effort.

We encourage you to download ElasticSearch 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 ElasticSearch Connector for SSIS Documentation

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