return redirect(getClass());
    }

    /**
     * Starts a reindex operation with the specified parameters.
     *
     * @param replaceAliases whether to replace aliases after reindexing
     * @param resetDictionaries whether to reset dictionaries during reindexing
     * @param numberOfShards the number of shards for the new index

            public void onResponse(final SearchResponse searchResponse) {
                if (searchResponse.getFailedShards() > 0) {
                    deferred.reject(new SuggesterException("Search failure. Failed shards num:" + searchResponse.getFailedShards()));
                } else {
                    deferred.resolve(createResponse(searchResponse));
                }
            }

            @Override

piece of functionality that enters different code paths depending on whether
the index has 1 shards or 2+ shards, then we shouldn't just test against an
index with a random number of shards: there should be one test for the 1-shard
case, and another test for the 2+ shards case.

==== Abuse randomization in multi-threaded tests

Multi-threaded tests are often not reproducible due to the fact that there is

Erasure coding used by MinIO is [Reed-Solomon](https://github.com/klauspost/reedsolomon) erasure coding scheme, which has a total shard maximum of 256 i.e 128 data and 128 parity. MinIO design goes beyond this limitation by doing some practical architecture choices.

- Erasure set is a single erasure coding unit within a MinIO deployment. An object is sharded within an erasure set. Erasure set size is automatically calculated based on the number of drives. MinIO supports unlimited number...

     */
    public void setBulkBufferSize(final int bulkBufferSize) {
        this.bulkBufferSize = bulkBufferSize;
    }

    /**
     * Sets the number of shards for the OpenSearch index.
     *
     * @param numberOfShards The number of shards.
     */
    public void setNumberOfShards(final int numberOfShards) {
        this.numberOfShards = numberOfShards;
    }

    /**

code is a mathematical algorithm to reconstruct missing or corrupted data. MinIO uses Reed-Solomon code to shard objects into variable data and parity blocks. For example, in a 12 drive setup, an object can be sharded to a variable number of data and parity blocks across all the drives - ranging from six data and six parity blocks to ten data and two parity blocks.

By default, MinIO shards the objects across N/2 data and N/2 parity drives. Though, you can use [storage classes](https://github...

            public void onResponse(final SearchResponse searchResponse) {
                if (searchResponse.getFailedShards() > 0) {
                    deferred.reject(new SuggesterException("Search failure. Failed shards num:" + searchResponse.getFailedShards()));
                } else {
                    deferred.resolve(createResponse(searchResponse));
                }
            }

            @Override

     */
    protected QueryParser getQueryParser() {
        return ComponentUtil.getQueryParser();
    }

    /**
     * Processes and sets search preferences for routing search requests to appropriate OpenSearch shards.
     * This method determines the preference value based on user roles, session information, or request parameters.
     *
     * @param searchRequestBuilder the search request builder to configure

				// Reading first time on this disk, hence the buffer needs to be allocated.
				// Subsequent reads will reuse this buffer.
				p.buf[bufIdx] = make([]byte, p.shardSize)
			}
			// For the last shard, the shardsize might be less than previous shard sizes.
			// Hence the following statement ensures that the buffer size is reset to the right size.
			p.buf[bufIdx] = p.buf[bufIdx][:p.shardSize]
			n, err := rr.ReadAt(p.buf[bufIdx], p.offset)

index.document.suggest.index=fess
# Index name for crawler documents.
index.document.crawler.index=fess_crawler
# Number of primary shards for crawler queue index.
index.document.crawler.queue.number_of_shards=10
# Number of primary shards for crawler data index.
index.document.crawler.data.number_of_shards=10
# Number of primary shards for crawler filter index.
index.document.crawler.filter.number_of_shards=10
# Number of replicas for crawler queue index.