final Builder builder = Settings.builder()
                .putList("http.hosts", hosts)
                .put("processors", fessConfig.availableProcessors())
                .put("http.heartbeat_interval", fessConfig.getFesenHeartbeatInterval());
        final String username = fessConfig.getFesenUsername();

        }

    }

    /**
     * Internal search method that executes the actual search query.
     *
     * This method performs the search using the rank fusion processor and may retry
     * with OR operator if the hit count is below the configured minimum threshold.
     *
     * @param query The search query string
     * @param params The search request parameters

job.max.crawler.processes=0
# Default script language for jobs.
job.default.script=groovy
# Pattern to filter system properties for jobs.
job.system.property.filter.pattern=

# Number of processors to use.
processors=0
# Path to Java command.
java.command.path=java
# Path to Python command.
python.command.path=python
# Encoding for file paths.
path.encoding=UTF-8

    /**
     * Get the value for the key 'processors'. <br>
     * The value is, e.g. 0 <br>
     * comment: Number of processors to use.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getProcessors();

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

As noted already, programmers are strongly encouraged to use appropriate synchronization
to avoid data races.
In the absence of data races, Go programs behave as if all the goroutines
were multiplexed onto a single processor.
This property is sometimes referred to as DRF-SC: data-race-free programs
execute in a sequentially consistent manner.
</p>

<p>
While programmers should write Go programs without data races,

// which compresses to 1252 bytes (in the hex dump below).
//
// It's here in hex for the same reason as rZipBytes above: to avoid
// problems with on-disk virus scanners or other zip processors.
func biggestZipBytes() []byte {
	s := `
0000000 50 4b 03 04 14 00 08 00 08 00 00 00 00 00 00 00
0000010 00 00 00 00 00 00 00 00 00 00 0a 00 00 00 62 69
0000020 67 67 65 72 2e 7a 69 70 ec dc 6b 4c 53 67 18 07

- Fixed issue on Windows when calculating cpu limits on nodes with more than 64 logical processors ([#114231](https://github.com/kubernetes/kubernetes/pull/114231), [@mweibel](https://github.com/mweibel))

- Added support for a new kubectl output format, `kyaml`. KYAML was a strict subset of YAML and should be accepted by any YAML processor. The formatting of KYAML was halfway between JSON and YAML.  Because it was more explicit than the default YAML style, it was less error-prone. ([#132942](https://github.com/kubernetes/kubernetes/pull/132942), [@thockin](https://github.com/thockin))...

- Enabled kube-controller-manager '--concurrent-job-syncs' flag works on orphan Pod processors ([#126567](https://github.com/kubernetes/kubernetes/pull/126567), [@fusida](https://github.com/fusida)) [SIG Apps]

- Kubelet: Fixed the bug of getting the number of cpu when the number of cpu logical processors is more than 64 in windows ([#97378](https://github.com/kubernetes/kubernetes/pull/97378), [@hwdef](https://github.com/hwdef)) [SIG Node and Windows]