persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonl...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonl...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonl...

     * It means that for scripts and resources, the files below the path specified by {@link #directory()}
     * are copied to the path specified by {@code targetPath()} with the exact same directory structure.
     */
    default Optional<Path> targetPath() {
        return Optional.empty();
    }

    /**
     * {@return whether resources are filtered to replace tokens with parameterized values}.

     */
    @Override
    public boolean generate(final String thumbnailId, final File outputFile) {
        return false;
    }

    /**
     * Destroys this generator and releases any resources.
     * This implementation does nothing as no resources are held.
     */
    @Override
    public void destroy() {
        // nothing
    }

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonl...

 * This job extends ExecJob to provide Python-specific functionality for running
 * Python scripts with proper environment setup and argument passing.
 *
 * <p>Python scripts are executed in the WEB-INF/env/python/resources directory
 * and have access to the Fess system environment including OpenSearch URL and session ID.</p>
 */
public class PythonJob extends ExecJob {
    /** Logger instance for this class */

        try {
            final Enumeration<URL> resources = classLoader.getResources(path);

            while (resources.hasMoreElements()) {
                final URL resource = resources.nextElement();
                logger.debug("loading {}", resource);
                if ("file".equals(resource.getProtocol())) {
                    final File directory = new File(resource.getFile());

     * Cluster-aware witness service for general cluster resources
     */
    CLUSTER_WITNESS,

    /**
     * Individual file server witness for standalone servers
     */
    FILE_SERVER_WITNESS,

    /**
     * Scale-out file server witness for scale-out deployments
     */
    SCALE_OUT_WITNESS,

    /**
     * DFS namespace witness for distributed file system resources
     */
    DFS_WITNESS

This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model.