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Get the Report →How to load Dynamics 365 data into Elasticsearch via Logstash
Introducing a simple method to load Dynamics 365 data using the ETL module Logstash of the full-text search service Elasticsearch and the CData JDBC driver.
Elasticsearch is a popular distributed full-text search engine. By centrally storing data, you can perform ultra-fast searches, fine-tuning relevance, and powerful analytics with ease. Elasticsearch has a pipeline tool for loading data called "Logstash". You can use CData JDBC Drivers to easily import data from any data source into Elasticsearch for search and analysis.
This article explains how to use the CData JDBC Driver for Dynamics 365 to load data from Dynamics 365 into Elasticsearch via Logstash.
Using CData JDBC Driver for Dynamics 365 with Elasticsearch Logstash
- Install the CData JDBC Driver for Dynamics 365 on the machine where Logstash is running.
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The JDBC Driver will be installed at the following path (the year part, e.g. 20XX, will vary depending on the product version you are using). You will use this path later. Place this .jar file (and the .lic file if it's a licensed version) in Logstash.
C:\Program Files\CData\CData JDBC Driver for Dynamics365 20XX\lib\cdata.jdbc.dynamics365.jar
- Next, install the JDBC Input Plugin, which connects Logstash to the CData JDBC driver. The JDBC Plugin comes by default with the latest version of Logstash, but depending on the version, you may need to add it.
https://www.elastic.co/guide/en/logstash/5.4/plugins-inputs-jdbc.html - Move the CData JDBC Driver’s .jar file and .lic file to Logstash's "/logstash-core/lib/jars/".
Sending Dynamics 365 data to Elasticsearch with Logstash
Now, let's create a configuration file for Logstash to transfer Dynamics 365 data to Elasticsearch.
- Write the process to retrieve Dynamics 365 data in the logstash.conf file, which defines data processing in Logstash. The input will be JDBC, and the output will be Elasticsearch. The data loading job is set to run at 30-second intervals.
- Set the CData JDBC Driver's .jar file as the JDBC driver library, configure the class name, and set the connection properties to Dynamics 365 in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.
Edition and OrganizationUrl are required connection properties. The Dynamics 365 connector supports connecting to the following editions: CustomerService, FieldService, FinOpsOnline, FinOpsOnPremise, HumanResources, Marketing, ProjectOperations and Sales.
For Dynamics 365 Business Central, use the separate Dynamics 365 Business Central driver.
OrganizationUrl is the URL to your Dynamics 365 organization. For instance, https://orgcb42e1d0.crm.dynamics.com
Executing data movement with Logstash
Now let's run Logstash using the created "logstash.conf" file.
logstash-7.8.0\bin\logstash -f logstash.conf
A log indicating success will appear. This means the Dynamics 365 data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET dynamics365_table/_search { "query": { "match_all": {} } }
We have confirmed that the data is stored in Elasticsearch.
By using the CData JDBC Driver for Dynamics 365 with Logstash, it functions as a Dynamics 365 connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.