* factor, and concurrency settings.
   */
  public static <E> ConcurrentHashMultiset<E> create() {
    return create(new ConcurrentHashMap<>());
  }

  /**
   * Creates a new {@code ConcurrentHashMultiset} containing the specified elements, using the
   * default initial capacity, load factor, and concurrency settings.
   *

        this.lineData = this.lineDataToElements(options.lineData || []);
        this.loadLines()
        if (!options.noInit) this.init()
    }

    loadLines() {
        // Load all the lines and create the container so that the size is fixed
        // Otherwise it would be changing and the user viewport would be constantly
        // moving as she/he scrolls
        const finish = this.generateFinish()

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

### Multiple Processes - An Example { #multiple-processes-an-example }

In this example, there's a **Manager Process** that starts and controls two **Worker Processes**.

}

// loadFormatErasureAll - load all format config from all input disks in parallel.
func loadFormatErasureAll(storageDisks []StorageAPI, heal bool) ([]*formatErasureV3, []error) {
	// Initialize list of errors.
	g := errgroup.WithNErrs(len(storageDisks))

	// Initialize format configs.
	formats := make([]*formatErasureV3, len(storageDisks))

	// Load format from each disk in parallel

     */
    @Nonnull
    Optional<Boolean> ignoreTransitiveRepositories();

    /**
     * Specifies "@file"-like file, to load up command line from. It may contain goals as well. Format is one parameter
     * per line (similar to {@code maven.conf}) and {@code '#'} (hash) marked comment lines are allowed. Goals, if

 * It is public so we can access it reflectively across class loaders in secure environments.
 *
 * <p>This class can't depend on other Guava code. If we were to load this class in the same class
 * loader as the rest of Guava, this thread would keep an indirect strong reference to the class
 * loader and prevent it from being garbage collected. This poses a problem for environments where

### 로드 밸런서 { #load-balancer }

컨테이너를 사용할 때는 보통 **메인 포트에서 대기(listening)하는** 컴포넌트가 있습니다. **HTTPS**를 처리하기 위한 **TLS 종료 프록시** 역할을 하는 다른 컨테이너일 수도 있고, 유사한 도구일 수도 있습니다.

이 컴포넌트가 요청의 **부하(load)**를 받아 워커들에 (가능하면) **균형 있게** 분산한다면, 보통 **로드 밸런서**라고 부릅니다.

/// tip | 팁

HTTPS에 사용되는 동일한 **TLS 종료 프록시** 컴포넌트가 **로드 밸런서**이기도 한 경우가 많습니다.

            options.addOption(Option.builder(AT_FILE)
                    .longOpt("at-file")
                    .hasArg()
                    .desc(
                            "If set, Maven will load command line options from the specified file and merge with CLI specified ones.")
                    .get());
        }
    }

	err := ri.load(ctx, api, job)
	if errors.Is(err, errNoSuchJob) {
		switch {
		case job.Replicate != nil:
			ri.Version = batchReplVersionV1
		case job.KeyRotate != nil:
			ri.Version = batchKeyRotateVersionV1
		case job.Expire != nil:
			ri.Version = batchExpireVersionV1
		}
		return nil
	}
	return err
}

```

**Step 2: Transform to Fess Format**

Create a transformation script to map Solr fields to Fess fields:

```python
import json

# Load Solr export
with open('solr-export.json', 'r') as f:
    solr_data = json.load(f)

# Transform documents
fess_docs = []
for doc in solr_data['response']['docs']:
    fess_doc = {
        "url": doc.get("id", ""),