([#44744](https://github.com/kubernetes/kubernetes/pull/44744), [@yguo0905](https://github.com/yguo0905))

  * Kubernetes now shares a single PID namespace among all containers in a pod when running with docker >= 1.13.1. This means processes can now signal processes in other containers in a pod, but it also means that the `kubectl exec {pod} kill 1` pattern will cause the Pod to be restarted rather than a single container. ([#45236](https://github.com/kubernetes/kubernetes/pull/45236), [@verb](...

    }

    /**
     * Reads and processes index settings from configuration file.
     *
     * @param fesenType          the search engine type
     * @param indexConfigFile    the path to the index configuration file
     * @param numberOfShards     the number of primary shards
     * @param autoExpandReplicas the auto expand replicas setting
     * @return the processed index settings JSON
     */

    /**
     * Get the value for the key 'job.max.crawler.processes'. <br>
     * The value is, e.g. 0 <br>
     * comment: Maximum number of crawler processes.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getJobMaxCrawlerProcesses();

    /**
     * Get the value for the key 'job.max.crawler.processes' as {@link Integer}. <br>
     * The value is, e.g. 0 <br>

    * Specifically the new controller watches the API server for scheduled pods. It processes each pod and ensures that any volumes that implement the volume Attacher interface are attached to the node their pod is scheduled to.

                    java.util.function.BiFunction<org.opensearch.action.update.UpdateRequestBuilder, org.opensearch.search.SearchHit, org.opensearch.action.update.UpdateRequestBuilder> processor) {
                // Return 0 to simulate no documents processed due to error
                return 0L;
            }
        };
        ComponentUtil.register(errorClient, "searchEngineClient");

            ComponentUtil.register(newQueryProcessor, "queryProcessor");

            // Register the command with the new processor
            PrefixQueryCommand newCommand = new PrefixQueryCommand();
            newCommand.register();

            // Verify that the command can process PrefixQuery by executing it
            PrefixQuery query = new PrefixQuery(new Term("field", "test"));

[19515] [INFO] Booting worker with pid: 19515
[19511] [INFO] Started server process [19511]
[19511] [INFO] Waiting for application startup.
[19511] [INFO] Application startup complete.
[19513] [INFO] Started server process [19513]
[19513] [INFO] Waiting for application startup.
[19513] [INFO] Application startup complete.
[19514] [INFO] Started server process [19514]
[19514] [INFO] Waiting for application startup.

    }
  }

  /**
   * Reads lines of text from this source, processing each line as it is read using the given {@link
   * LineProcessor processor}. Stops when all lines have been processed or the processor returns
   * {@code false} and returns the result produced by the processor.
   *
   * <p>Like {@link BufferedReader#readLine()}, this method considers a line to be a sequence of

    }
  }

  /**
   * Reads lines of text from this source, processing each line as it is read using the given {@link
   * LineProcessor processor}. Stops when all lines have been processed or the processor returns
   * {@code false} and returns the result produced by the processor.
   *
   * <p>Like {@link BufferedReader#readLine()}, this method considers a line to be a sequence of

///

---

Dans ce scénario de burgers parallèles, vous êtes un ordinateur / programme 🤖 avec deux processeurs (vous et votre crush 😍) attendant 🕙 à deux et dédiant votre attention 🕙 à "attendre devant le comptoir" pour une longue durée.

Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).