*
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

    public static final String ERRORS_not_load_from_server = "{errors.not_load_from_server}";

    /** The key of the message: Failed to start a job: {0}. */
    public static final String ERRORS_failed_to_start_job = "{errors.failed_to_start_job}";

    /** The key of the message: Failed to stop a job: {0}. */
    public static final String ERRORS_failed_to_stop_job = "{errors.failed_to_stop_job}";

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

        try {
            processHelper.sendCommand("nonexistent", "test command");
            fail("Expected JobNotFoundException");
        } catch (JobNotFoundException e) {
            assertTrue(e.getMessage().contains("Job for nonexistent is not found"));
        }
    }

    public void test_startProcess_basicCommand() {
        String sessionId = "test_session";
        List<String> cmdList = Arrays.asList("echo", "hello");

			<version>${commons.fileupload.version}</version>
		</dependency>

		<!-- scheduler -->
		<dependency>
			<groupId>org.lastaflute.job</groupId>
			<artifactId>lasta-job</artifactId>
			<version>${lasta.job.version}</version>
		</dependency>

		<!-- mail -->
		<dependency>
			<groupId>org.dbflute.mail</groupId>
			<artifactId>mailflute</artifactId>

    public void sendCommand(final String sessionId, final String command) {
        final JobProcess jobProcess = runningProcessMap.get(sessionId);
        if (jobProcess == null) {
            throw new JobNotFoundException("Job for " + sessionId + " is not found.");
        }
        try {
            final OutputStream out = jobProcess.getProcess().getOutputStream();
            IOUtils.write(command + "\n", out, Constants.CHARSET_UTF_8);

### PID Limits graduates to General Availability

Why I'm Leaving Flask - author: Mike Moritz author_link: https://medium.com/@mike.p.moritz link: https://medium.com/@mike.p.moritz/using-docker-compose-to-deploy-a-lightweight-python-rest-api-with-a-job-queue-37e6072a209b title: Using Docker Compose to deploy a lightweight Python REST API with a job queue - author: '@euri10' author_link: https://gitlab.com/euri10 link: https://gitlab.com/euri10/fastapi_cheatsheet title: A FastAPI and Swagger UI visual cheatsheet - author: Uber Engineering author_link:...

        createFileConfig();
        logger.info("FileConfig is created");
        refresh();
        fileConfigId = getFileConfigIds(NAME_PREFIX).get(0);

        createJob();
        logger.info("Job is created");
        refresh();

        startJob(NAME_PREFIX);

        waitJob(NAME_PREFIX);
        refresh();
    }

    @BeforeEach
    protected void init() {
        refresh();
    }