<-keepAliveTicker.C
			}
		}
	}

	// On Kubernetes/Docker setups DNS resolves inappropriately sometimes
	// where there are situations same endpoints with multiple disks
	// come online indicating either one of them is local and some
	// of them are not local. This situation can never happen and
	// its only a possibility in orchestrated deployments with dynamic

    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)
  }

  /**
   * Regression test for an edge case where closing response body in the HTTP engine doesn't release
   * the corresponding stream allocation. This test keeps those response bodies alive and reads
   * them after the redirect has completed. This forces a connection to not be reused where it would

		errorResponse      APIErrorResponse
		shouldPass         bool
	},
) {
	for i, testCase := range testCases {
		// initialize httptest Recorder, this records any mutations to response writer inside the handler.
		rec := httptest.NewRecorder()
		// construct HTTP request
		req, err := newTestSignedRequestV4(testCase.method, getBucketLifecycleURL("", testCase.bucketName),

 * <li>Transforms document data using appropriate transformers</li>
 * <li>Applies document boosting rules and click/favorite count enhancements</li>
 * <li>Sends processed documents to the search engine for indexing</li>
 * <li>Manages cleanup of processed crawler session data</li>
 * </ul>
 *
 * <p>The updater runs continuously until crawling is finished and all documents are processed.

Transform documents to include Fess required fields. Example transformation script:

```python
import json

with open('documents.json', 'r') as infile, \
     open('fess-documents.json', 'w') as outfile:
    for line in infile:
        doc = json.loads(line)

        # Transform to Fess format
        fess_doc = {
            "url": doc.get("url", ""),
            "title": doc.get("title", ""),

/**
 * Main executable class for running crawling operations in the Fess search engine.
 * This class serves as the entry point for crawling web content, file systems, and data stores.
 * It manages the crawling lifecycle, including initialization, execution coordination,
 * monitoring, and cleanup operations.
 *
 * <p>The crawler can operate in different modes based on command-line options:
 * <ul>
 * <li>Web crawling - crawls web sites and web content</li>

import org.codelibs.fess.util.ComponentUtil;
import org.lastaflute.di.exception.IORuntimeException;
import org.lastaflute.job.LaJobRuntime;

/**
 * Abstract base class for executable jobs in the Fess search engine.
 * This class provides common functionality for job execution including process management,
 * logging configuration, JVM options, and timeout handling.
 *

## 문제/질문

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## 시작하기

Fess를 사용해보는 방법은 두 가지가 있습니다. 첫 번째는 직접 다운로드하여 설치하는 방법이며, 두 번째는 [Docker](https://www.docker.com/products/docker-engine)를 사용하는 방법입니다.

### 다운로드 및 설치/실행

Fess 15.3이 현재 사용 가능하며, [릴리스 페이지](https://github.com/codelibs/fess/releases "download")에서 다운로드할 수 있습니다. 다운로드는 deb, rpm, zip의 세 가지 형식으로 제공됩니다.

다음 명령은 zip 다운로드 사용 방법을 보여줍니다:

func getHostsSlice(records []dns.SrvRecord) []string {
	hosts := make([]string, len(records))
	for i, r := range records {
		hosts[i] = net.JoinHostPort(r.Host, string(r.Port))
	}
	return hosts
}

// returns an online host (and corresponding port) from a slice of DNS records
func getHostFromSrv(records []dns.SrvRecord) (host string) {
	hosts := getHostsSlice(records)
	rng := rand.New(rand.NewSource(time.Now().UTC().UnixNano()))

		restoreObjStatus string
		expireRestored   bool
		expectedDataDir  string
	}{
		{ // object versions with inlined data don't count towards shared data directory
			versionID: mustGetUUID(),
			dataDir:   d0,
			data:      data,
			shares:    0,
		},
		{ // object versions with inlined data don't count towards shared data directory
			versionID: mustGetUUID(),
			dataDir:   d1,
			data:      data2,