Analyze API

An AnalyzeRequest contains the text to analyze, and one of several options to specify how the analysis should be performed.

The simplest version uses a built-in analyzer:

AnalyzeRequest request = new AnalyzeRequest();
request.text("Some text to analyze", "Some more text to analyze");  
request.analyzer("english");    

You can configure a custom analyzer:

AnalyzeRequest request = new AnalyzeRequest();
request.text("<b>Some text to analyze</b>");
request.addCharFilter("html_strip");                
request.tokenizer("standard");                      
request.addTokenFilter("lowercase");                

Map<String, Object> stopFilter = new HashMap<>();
stopFilter.put("type", "stop");
stopFilter.put("stopwords", new String[]{ "to" });  
request.addTokenFilter(stopFilter);                 

You can also build a custom normalizer, by including only charfilters and tokenfilters:

AnalyzeRequest request = new AnalyzeRequest();
request.text("<b>BaR</b>");
request.addTokenFilter("lowercase");

You can analyze text using an analyzer defined in an existing index:

AnalyzeRequest request = new AnalyzeRequest();
request.index("my_index");              
request.analyzer("my_analyzer");        
request.text("some text to analyze");

Or you can use a normalizer:

AnalyzeRequest request = new AnalyzeRequest();
request.index("my_index");                  
request.normalizer("my_normalizer");        
request.text("some text to analyze");

You can analyze text using the mappings for a particular field in an index:

AnalyzeRequest request = new AnalyzeRequest();
request.index("my_index");
request.field("my_field");
request.text("some text to analyze");

The following arguments can also optionally be provided:

request.explain(true);                      
request.attributes("keyword", "type");      

When executing a AnalyzeRequest in the following manner, the client waits for the AnalyzeResponse to be returned before continuing with code execution:

AnalyzeResponse response = client.indices().analyze(request, RequestOptions.DEFAULT);

Synchronous calls may throw an IOException in case of either failing to parse the REST response in the high-level REST client, the request times out or similar cases where there is no response coming back from the server.

In cases where the server returns a 4xx or 5xx error code, the high-level client tries to parse the response body error details instead and then throws a generic ElasticsearchException and adds the original ResponseException as a suppressed exception to it.

Executing a AnalyzeRequest can also be done in an asynchronous fashion so that the client can return directly. Users need to specify how the response or potential failures will be handled by passing the request and a listener to the asynchronous analyze method:

client.indices().analyzeAsync(request, RequestOptions.DEFAULT, listener); 

The asynchronous method does not block and returns immediately. Once it is completed the ActionListener is called back using the onResponse method if the execution successfully completed or using the onFailure method if it failed. Failure scenarios and expected exceptions are the same as in the synchronous execution case.

A typical listener for analyze looks like:

ActionListener<AnalyzeResponse> listener = new ActionListener<AnalyzeResponse>() {
    @Override
    public void onResponse(AnalyzeResponse analyzeTokens) {
        
    }

    @Override
    public void onFailure(Exception e) {
        
    }
};

The returned AnalyzeResponse allows you to retrieve details of the analysis as follows:

List<AnalyzeResponse.AnalyzeToken> tokens = response.getTokens();   

If explain was set to true, then information is instead returned from the detail() method:

DetailAnalyzeResponse detail = response.detail();