Use an HTTP POST to send a request body to a service. This example posts a markdown document to a web service that renders markdown as HTML. Because the entire request body is in memory simultaneously, avoid posting large (greater than 1 MiB) documents using this API.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

      fun run() {

 * Since connections may be reused, the proxy selection, DNS, and connect events may not be present
 * for a call. In future releases of OkHttp these events may also occur concurrently to permit
 * multiple routes to be attempted simultaneously.
 *
 * Events and sequences of events may be repeated for retries and follow-ups.
 *
 * All event methods must execute fast, without external locking, cannot throw exceptions, attempt

   * The reason why this stream was closed, or null if it closed normally or has not yet been
   * closed.
   *
   * If there are multiple reasons to abnormally close this stream (such as both peers closing it
   * near-simultaneously) then this is the first reason known to this peer.
   */
  internal var errorCode: ErrorCode? = null
    get() = withLock { field }

  /** The exception that explains [errorCode]. Null if no exception was provided. */

				delete(deleteMarkerCountMap, lastDel.Name)
			}
		}
		// send down filtered entries to be deleted using
		// DeleteObjects method
		if len(toDel) > 10 { // batch up to 10 objects/versions to be expired simultaneously.
			xfer := make([]expireObjInfo, len(toDel))
			copy(xfer, toDel)
			select {
			case expireCh <- xfer:
				toDel = toDel[:0] // resetting toDel
			case <-ctx.Done():
				done = true
			}
		}

otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License.  If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all.  For example, if you agree to terms that obligate you

reads of a variable in one goroutine can be guaranteed to
observe values produced by writes to the same variable in a different goroutine.
</p>


<h3 id="advice">Advice</h3>

<p>
Programs that modify data being simultaneously accessed by multiple goroutines
must serialize such access.
</p>

<p>
To serialize access, protect the data with channel operations or other synchronization primitives

	case <-ctx.Done():
		mu.Lock()
		if firstErr == nil {
			firstErr = ctx.Err()
		}
		defer mu.Unlock()
	}
	return firstErr
}

// MakeBucket - creates a new bucket across all serverPools simultaneously
// even if one of the sets fail to create buckets, we proceed all the successful
// operations.
func (z *erasureServerPools) MakeBucket(ctx context.Context, bucket string, opts MakeBucketOptions) error {

Guide](https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart) for further instructions. ## Upgrading MinIO Upgrades require zero downtime in MinIO, all upgrades are non-disruptive, all transactions on MinIO are atomic. So upgrading all the servers simultaneously is the recommended way to upgrade MinIO. > NOTE: requires internet access to update directly from <https://dl.min.io>, optionally you can host any mirrors at <https://my-artifactory.example.com/minio/> - For deployments that installed the MinIO...

 *  **OkHttp now supports duplex calls over HTTP/2.** With normal HTTP calls the request must finish
    before the response starts. With duplex, request and response bodies are transmitted
    simultaneously. This can be used to implement interactive conversations within a single HTTP
    call.

    Create duplex calls by overriding the new `RequestBody.isDuplex()` method to return true.

    cache.put(key, "1");
    // simultaneous update for same key, some null, some non-null
    doParallelCacheOp(
        count,
        n -> {
          cache.asMap().compute(key, (k, v) -> n % 2 == 0 ? v + delimiter + n : null);
        });
    assertThat(cache.size()).isAtMost(1);
  }

  public void testCompute() {
    cache.put(key, "1");
    // simultaneous deletion
    doParallelCacheOp(