} catch (final UnsupportedEncodingException e) {
            if (logger.isInfoEnabled()) {
                logger.info("Invalid charsetName: " + charsetName + ". Changed to " + Constants.UTF_8, e);
            }
            charsetName = Constants.UTF_8;
            resultData.setData(content.getBytes(Constants.UTF_8_CHARSET));
        }
        resultData.setEncoding(charsetName);

        // Verify bufDataStart was set to totalParameterCount
        assertEquals(1500, bufDataStartField.get(response));
    }

    @Test
    @DisplayName("Test bufDataStart not changed when non-zero")
    void testBufDataStartNotChangedWhenNonZero() throws Exception {
        byte[] buffer = new byte[100];
        int bufferIndex = 0;

        // Set bufDataStart to a non-zero value

1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.
1. (Change the period from upper right if you want to do.)
## FAQ

#### Q. Kibana can't connect Elasticsearch.

A. Please check `${KIBANA_HOME}/config/kibana.yml` and set correct Elasticsearch URL.

Example:
```

  Documentation
  -------------

  The most up-to-date documentation can be found at https://maven.apache.org/.

  Release Notes
  -------------

  The full list of changes, system requirements and related can be found at https://maven.apache.org/docs/history.html.

  Installing Maven
  ----------------

  For complete documentation see https://maven.apache.org/download.html#Installation

    ) {
    init {
        id("Promotion_NightlyDocumentation")
        name = "Nightly Documentation"
        description =
            "Promotes the latest successful documentation changes on '${branch.branchName}' from Ready for Nightly as a new nightly documentation snapshot"

        triggers {
            branch.determineNightlyPromotionTriggerHour()?.let { triggerHour ->
                schedule {

OkHttp Server-Sent Events
=========================

Experimental support for server-sent events.
API is not considered stable and may change at any time.

### Download

```kotlin
testImplementation("com.squareup.okhttp3:okhttp-sse:5.3.0")

import static java.util.Objects.requireNonNull;

/**
 * <p>
 * Calculates the task segments in the build
 * </p>
 * <strong>NOTE:</strong> This class is not part of any public api and can be changed or deleted without prior notice.
 *
 * @since 3.0
 */
@Named
@Singleton
public class DefaultLifecycleTaskSegmentCalculator implements LifecycleTaskSegmentCalculator {

import org.apache.maven.project.MavenProject;

/**
 * <p>
 * Presents a view of the Dependency Graph that is suited for concurrent building.
 * </p>
 * <strong>NOTE:</strong> This class is not part of any public api and can be changed or deleted without prior notice.
 *
 * @since 3.0
 */
public class ConcurrencyDependencyGraph {

    private final ProjectBuildList projectBuilds;

    private final ProjectDependencyGraph projectDependencyGraph;

            throws ArtifactDeploymentException {
        if (artifact.isSnapshot()) {
            Snapshot snapshot = new Snapshot();

            // TODO Should this be changed for MNG-6754 too?
            snapshot.setTimestamp(getDeploymentTimestamp());

            // we update the build number anyway so that it doesn't get lost. It requires the timestamp to take effect
            try {

TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config release_arm64_linux"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"