/** List of query rescorers for post-processing search results */
    protected List<QueryRescorer> queryRescorerList = new ArrayList<>();

    /**
     * Builds a complete QueryContext for search operations, applying all necessary filters,
     * boosts, and role-based access controls.
     *
     * @param searchRequestType the type of search request (e.g., regular search, admin search)

     * Handles various pattern formats including anchored patterns and quoted patterns.
     *
     * @param buf the string buffer to append to
     * @param v the pattern value to append
     * @return the complete pattern string from the buffer
     */
    protected String appendFileterPath(final StringBuilder buf, final String v) {
        if (StringUtil.isBlank(v)) {
            return StringUtil.EMPTY;
        }

    public static final int FILE_SYNCHRONOUS_IO_NONALERT = 0x20;
    /**
     * File being created or opened must not be a directory
     */
    public static final int FILE_NON_DIRECTORY_FILE = 0x40;
    /**
     * Complete this operation immediately with an oplock break if it would break an oplock
     */
    public static final int FILE_COMPLETE_IF_OPLOCKED = 0x100;
    /**
     * The client does not understand extended attributes

	}

	if tracker.ItemsFailed > 0 {
		healingLogEvent(ctx, "Healing of drive '%s' is incomplete, retried %d times (healed: %d, skipped: %d, failed: %d).", disk,
			tracker.RetryAttempts, tracker.ItemsHealed, tracker.ItemsSkipped, tracker.ItemsFailed)
	} else {
		if tracker.RetryAttempts > 0 {
			healingLogEvent(ctx, "Healing of drive '%s' is complete, retried %d times (healed: %d, skipped: %d).", disk,

<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note | 備考

`uvicorn main:app`は以下を示します:

* `main`: `main.py`ファイル (Python "module")。
* `app`:  `main.py`内部で作られるobject（`app = FastAPI()`のように記述される）。

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

    protected int maxDataCount;
    /** Maximum number of setup words the server should return */
    protected byte maxSetupCount;
    /** Timeout in milliseconds to wait for the transaction to complete */
    protected int timeout = 0;
    /** Number of setup words in this request */
    protected int setupCount = 1;
    private byte subCommand;
    /** The transaction name for named pipe transactions */

        req.encode(buffer, 0);

        // Then
        byte[] pathBytes = simplePath.getBytes(StandardCharsets.UTF_16LE);
        int bodyOffset = Smb2Constants.SMB2_HEADER_LENGTH;

        // Verify complete structure
        assertEquals(9, SMBUtil.readInt2(buffer, bodyOffset)); // Structure size
        assertEquals(0, SMBUtil.readInt2(buffer, bodyOffset + 2)); // Tree flags

   *
   * <p>The table is serializable if {@code backingMap}, {@code factory}, the maps generated by
   * {@code factory}, and the table contents are all serializable.
   *
   * <p>Note: the table assumes complete ownership over of {@code backingMap} and the maps returned
   * by {@code factory}. Those objects should not be manually updated and they should not use soft,
   * weak, or phantom references.
   *

        try {
            this.isComplete = true;
            this.hasChanges = false;
            this.lastUpdateTime = System.currentTimeMillis();
        } finally {
            lock.writeLock().unlock();
        }
    }
    
    public void invalidate() {
        lock.writeLock().lock();
        try {
            children.clear();
            isComplete = false;
            hasChanges = true;