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Get the Report →How to load Excel Online data into Elasticsearch via Logstash
Introducing a simple method to load Excel Online 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 Excel Online to load data from Excel Online into Elasticsearch via Logstash.
Using CData JDBC Driver for Excel Online with Elasticsearch Logstash
- Install the CData JDBC Driver for Excel Online 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 ExcelOnline 20XX\lib\cdata.jdbc.excelonline.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 Excel Online data to Elasticsearch with Logstash
Now, let's create a configuration file for Logstash to transfer Excel Online data to Elasticsearch.
- Write the process to retrieve Excel Online 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 Excel Online in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.
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Workbook: Set this to the name or Id of the workbook.
If you want to view a list of information about the available workbooks, execute a query to the Workbooks view after you authenticate.
- UseSandbox: Set this to true if you are connecting to a workbook in a sandbox account. Otherwise, leave this blank to connect to a production account.
You can connect to a workbook by providing authentication to Excel Online and then setting the following properties:
You use the OAuth authentication standard to authenticate to Excel Online. See the Getting Started section in the help documentation for a guide. Getting Started also guides you through executing SQL to worksheets and ranges.
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 Excel Online data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET excelonline_table/_search { "query": { "match_all": {} } }
We have confirmed that the data is stored in Elasticsearch.
By using the CData JDBC Driver for Excel Online with Logstash, it functions as a Excel Online connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.