This caching scorer implementation only implements score and docID – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 6.8-6.8

Briefly, this error occurs when an Elasticsearch operation tries to call a method other than score() and docID() on a caching scorer object. The caching scorer is a component of Elasticsearch that is used to optimize search performance. However, it only supports the score() and docID() methods. To resolve this issue, you can either modify your code to only use these two methods when dealing with a caching scorer, or use a different scorer implementation that supports the methods you need. Alternatively, you can also consider upgrading your Elasticsearch version if it’s outdated, as newer versions might have improved functionality.

This guide will help you check for common problems that cause the log ” This caching scorer implementation only implements score() and docID() ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: aggregations, search.

Log Context

Log “This caching scorer implementation only implements score() and docID()” class name is We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 return currentDocId;
 }  @Override
 public DocIdSetIterator iterator() {
 throw new ElasticsearchException("This caching scorer implementation only implements score() and docID()");
 }  public void collect(int docId; long parentBucket) throws IOException {
 perBucketSamples = bigArrays.grow(perBucketSamples; parentBucket + 1);
 PerParentBucketSamples sampler = perBucketSamples.get((int) parentBucket);


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