Connecting to Elasticsearch

This article illustrates how to build a report based on an Elasticsearch data source.

Requirements

Flexmonster Pivot version 2.7.0 or higher
Elasticsearch version 6.x or 7.x

Step 1: Embed the component into your web page

If Flexmonster is not yet embedded, set up an empty component in your web page:

In pure JavaScript

Complete the Quick start guide. Your code should look similar to the following example:

var pivot = new Flexmonster({
    container: "pivotContainer",
    toolbar: true
});

In Angular

Complete the Integration with Angular guide. Your code should look similar to the following example:

<fm-pivot 
 [toolbar]="true">
</fm-pivot>

In React

Complete the Integration with React guide. Your code should look similar to the following example:

<FlexmonsterReact.Pivot
 toolbar={true}
/>

In Vue

Complete the Integration with Vue guide. Your code should look similar to the following example:

<Pivot
 ref="pivot"
 toolbar>
</Pivot>

Step 2: Enable cross-origin resource sharing (CORS)

By default, the browser prevents JavaScript from making requests across domain boundaries. CORS allows web applications to make cross-domain requests. To enable CORS, open elasticsearch.yml and add the following lines:

http.cors.enabled: true
http.cors.allow-origin: "*"
http.cors.allow-credentials: true
http.cors.allow-headers: "X-Requested-With, Content-Type, Content-Length, Authorization"

To allow a connection to the Elasticsearch server from machines other than localhost, open an appropriate port in the firewall. The default port is 9200, but it may be different depending on your configuration in the elasticsearch.yml file.

Step 3: Configure the report with your own data

Now it’s time to configure the pivot table on the web page. Let’s create a minimal report for this (replace the node and index parameters with your specific values):

var pivot = new Flexmonster({
    container: "pivotContainer",
    toolbar: true,
    report: {
        "dataSource": {
            "type": "elasticsearch",
            /* the host for the connection */ 
            "node": "https://olap.flexmonster.com:9200",
            /* the name of Elasticsearch index to connect */ 
            "index": "fm-product-sales"
        }
    }
});

Launch the web page from a browser — there you go! A pivot table is embedded into your project. Check out the example on JSFiddle.

Optimize data loading

To decrease the data loading time, you can use the dataSource.subquery property. It sets a server-side filter, so Flexmonster will get only the needed part of the data. This approach also allows you to define which data is shown on the grid.

The example below demonstrates how to load specific members of Category and Color fields:

{
    "dataSource": {
        "type": "elasticsearch",
        "node": "https://olap.flexmonster.com:9200",
        "index": "fm-product-sales",
        "subquery": {
            "bool": {
                "filter": [{
                    "terms": {
                        "Category.keyword": ["Bikes", "Accessories"],
                    }
                },
                {
                    "terms": {
                        "Color.keyword": ["blue", "red"]
                    }
                }]
            }
        }
    }
}

Try it on JSFiddle.

What’s next?

You may be interested in the following articles:

Configuring the mapping