Aquí está lo que debes tener en cuenta y cómo revisar un pull request:

### Entiende el problema

* Primero, asegúrate de **entender el problema** que el pull request está intentando resolver. Podría tener una discusión más larga en una GitHub Discussion o issue.

* También hay una buena posibilidad de que el pull request no sea realmente necesario porque el problema se puede resolver de una manera **diferente**. Entonces puedes sugerir o preguntar sobre eso.

    }

    /**
     * Deletes documents from the OpenSearch index based on the specified search criteria.
     * Uses scroll and bulk delete operations for efficient deletion of large result sets.
     *
     * @param callback The callback to configure the search request for identifying documents to delete.
     * @throws OpenSearchAccessException if the deletion fails.
     */

 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *
 * <p>When calling {@link ScaleAndIndex#compute} (in {@linkplain ScaleAndIndexes#compute either

const (
	// Maximum object size per PUT request is 5TB.
	// This is a divergence from S3 limit on purpose to support
	// use cases where users are going to upload large files
	// using 'curl' and presigned URL.
	globalMaxObjectSize = 5 * humanize.TiByte

	// Minimum Part size for multipart upload is 5MiB
	globalMinPartSize = 5 * humanize.MiByte

* Audit logs might impact the API server performance and the latency of large request and response calls. The issue is observed under the following conditions: if `AdvancedAuditing` feature gate is enabled, which is the default case, if audit logging uses the log backend in JSON format, or if the audit policy records large API calls for requests or responses.

*   [beta] Flag `--chunk-size={SIZE}` is added to `kubectl get` to customize the number of results returned in large lists of resources. This reduces the perceived latency of managing large clusters because the server returns the first set of results to the client much more quickly. Pass 0 to disable this feature.([#53768](https://github.com/kubernetes/kubernetes/pull/53768),[ @smarterclayton](htt...

* Kubernetes now supports transparent compression of API responses. Clients that send `Accept-Encoding: gzip` will now receive a GZIP compressed response body if the API call was larger than 128KB.  Go clients automatically request gzip-encoding by default and should see reduced transfer times for very large API requests.  Clients in other languages may need to make changes to benefit from compression. ([#77449](https://github.com/kubernetes/kubernetes/pull/77449), [@smarterclayton](https:...

- Fix the problem where couple nodes becoming NotReady at the same time could cause master instability or even complete outage in large enough clusters. ([#88962](https://github.com/kubernetes/kubernetes/pull/88962), [@mborsz](https://github.com/mborsz)) [SIG Apps]

	erasureLockOwner string

	// List of endpoints provided on the command line.
	endpoints PoolEndpoints

	// String version of all the endpoints, an optimization
	// to avoid url.String() conversion taking CPU on
	// large disk setups.
	endpointStrings []string

	// Total number of sets and the number of disks per set.
	setCount, setDriveCount int
	defaultParityCount      int

	poolIndex int

	// Distribution algorithm of choice.

 *  Fix: Attempt to read the response even if sending the request failed. This makes it possible
    to handle response statuses like `HTTP/1.1 431 "Request Header Fields Too Large`.

 *  Fix: Handle multiple 1xx responses.

 *  Fix: Address a performance bug in our internal task runner. We had a race condition that could