* @param domain The domain in which the user has an account.
     * @param user The username for the authenticating user.
     * @param workstation The workstation from which authentication is
     * taking place.
     */
    /**
     * Creates a Type-3 message in response to the given Type-2 message.
     *
     * @param type2 the Type-2 message to respond to
     * @param password the user's password

    /**
     * Lock object for synchronizing access to active thread count.
     */
    protected Object activeThreadCountLock = new Object();

    /**
     * Atomic counter for tracking the number of accesses made.
     */
    protected AtomicLong accessCount = new AtomicLong(0);

    /**
     * Current status of the crawler.
     */

     * @return The query builder.
     */
    public QueryBuilder getQueryBuilder() {
        return queryBuilder;
    }

    /**
     * Adds a field and text pair to the field log for tracking query terms.
     * @param field The field name.
     * @param text The query text for this field.
     */
    public void addFieldLog(final String field, final String text) {
        if (fieldLogMap == null) {

labels.scheduledjob_scriptType=Execution Method
labels.scheduledjob_scriptData=Script
labels.scheduledjob_jobLogging=Logging
labels.scheduledjob_crawler=Crawler Job
labels.scheduledjob_running=Running
labels.scheduledjob_active=Active
labels.scheduledjob_nojob=Disabled
labels.scheduledjob_button_start=Start Now
labels.scheduledjob_button_stop=Stop
labels.joblog_button_back=Back
labels.joblog_button_delete=Delete

                    startLatch.await();

                    long threadStart = System.nanoTime();
                    for (int i = 0; i < operationsPerThread; i++) {
                        // Simulate the atomic byte tracking operation
                        long start = System.nanoTime();
                        mockBytesEncrypted.addAndGet(1024); // Simulate 1KB message
                        long end = System.nanoTime();

 * It supports password-protected PDFs and can extract embedded documents and annotations.
 *
 * <p>The extractor runs text extraction in a separate thread with a configurable timeout
 * to prevent hanging on problematic PDF files. It also extracts metadata from the PDF
 * document and includes it in the extraction result.
 *
 * <p>Features:
 * <ul>
 *   <li>Text extraction from PDF pages</li>

### Generate Source Code

    $ mvn dbflute:download # (one time command)
    $ mvn dbflute:freegen
    $ mvn license:format

### Integration Tests

Integration tests require a running Fess server with OpenSearch. Follow these steps:

#### 1. Build Fess

    $ mvn antrun:run  # Download OpenSearch plugins (if not done)
    $ mvn package     # Build the package

#### 2. Start Fess Server

### CrawlerContext (`CrawlerContext.java`)

Execution context and configuration.

**Important Fields**:
```java
String sessionId                // Format: yyyyMMddHHmmssSSS
volatile CrawlerStatus status   // DONE, RUNNING
AtomicLong accessCount          // Thread-safe counter
int numOfThread = 10            // Crawler threads
int maxDepth = -1               // Max depth (-1 = unlimited)

        // Assert
        assertNotSame(original, copy, "clone should return a different instance");
        assertTrue(original.equals(copy), "Cloned instance should be equal by content");

        // Mutate original backing array; clone should remain based on previous snapshot
        data[0] = 99;
        assertFalse(original.equals(copy), "After mutation, original should not equal previous clone");

        });
        return asJson(new ApiResponse().status(Status.OK).result());
    }

    /**
     * Deletes all old crawling info sessions except currently running ones.
     *
     * @return JSON response indicating the deletion status
     */
    // DELETE /api/admin/crawlinginfo/all
    @Execute
    public JsonResponse<ApiResult> delete$all() {
        try {