How to load Vimeo data into Elasticsearch via Logstash

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 Vimeo to load data from Vimeo into Elasticsearch via Logstash.

Using CData JDBC Driver for Vimeo with Elasticsearch Logstash

• Install the CData JDBC Driver for Vimeo on the machine where Logstash is running.
• 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 API 20XX\lib\cdata.jdbc.api.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 Vimeo data to Elasticsearch with Logstash

Now, let's create a configuration file for Logstash to transfer Vimeo data to Elasticsearch.

• Write the process to retrieve Vimeo 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 Vimeo in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.

Vimeo is a professional video hosting platform. The Vimeo API uses personal access tokens (bearer tokens) to enable secure access to video metadata, user information, channels, groups, categories, and related resources.

Using API Key Authentication

To authenticate to the Vimeo API, you will need to provide a personal access token. To obtain your access token:

1. Log in to your Vimeo account at https://vimeo.com
2. Navigate to https://developer.vimeo.com/apps
3. Create a new app or select an existing app
4. Under "Personal Access Tokens", click "Generate" to create a new token
5. Select the required scopes: public and private for read access
6. Copy the generated token

After obtaining your access token, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Vimeo personal access token.

Example connection string

Profile=C:\profiles\Vimeo.apip;ProfileSettings='APIKey=your_personal_access_token';

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 Vimeo data has been loaded into Elasticsearch.

For example, let's view the data transferred to Elasticsearch in Kibana.

 GET api_table/_search
 {
 "query": {
 "match_all": {}
 }
 }

We have confirmed that the data is stored in Elasticsearch.

By using the CData JDBC Driver for Vimeo with Logstash, it functions as a Vimeo connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.