volatile CrawlerStatus status   // DONE, RUNNING
AtomicLong accessCount          // Thread-safe counter
int numOfThread = 10            // Crawler threads
int maxDepth = -1               // Max depth (-1 = unlimited)
long maxAccessCount = 0         // Max URLs (0 = unlimited)
```

### CrawlerThread (`CrawlerThread.java`)

Worker thread for crawling.

     *
     * @param paramMap the data store parameters
     * @param dataMap the data map containing crawling configuration
     * @return the maximum access count (-1 for unlimited, 1 for single access, or specified count)
     */
    protected long getMaxAccessCount(final DataStoreParams paramMap, final Map<String, Object> dataMap) {

* Soporte para sistemas de autenticación de usuario complejos, **conexiones a bases de datos**, etc.
* **Sin compromisos** con bases de datos, frontends, etc. Pero fácil integración con todos ellos.

### "Plug-ins" ilimitados { #unlimited-plug-ins }

O de otra manera, no hay necesidad de ellos, importa y usa el código que necesitas.

        }
        load();
    }

    /**
     * Retrieves a list of all available related query entities from the data store.
     * The results are ordered by term and limited by the configured maximum fetch size.
     *
     * @return a list of RelatedQuery entities containing all available related queries
     */
    public List<RelatedQuery> getAvailableRelatedQueryList() {

g-guide.html), [file system](https://fess.codelibs.org/15.3/admin/fileconfig-guide.html), or [Data Store](https://fess.codelibs.org/15.3/admin/dataconfig-guide.html) (such as a CSV or database). Many file formats are supported including (but not limited to): Microsoft Office, PDF, and zip.

*[Fess Site Search](https://github.com/codelibs/fess-site-search)* is a free alternative to [Google Site Search](https://enterprise.google.com/search/products/gss.html). For more details, see the [FSS...

    }

    /**
     * Retrieves all available related content configurations from the data store.
     * The results are ordered by sort order ascending, then by term ascending.
     * The number of results is limited by the configured maximum fetch size.
     *
     * @return List of RelatedContent entities containing all available related content configurations
     */
    public List<RelatedContent> getAvailableRelatedContentList() {

      finalResults.clear();
    }
    executor.shutdown();
  }

  // In a previous implementation this would cause a stack overflow after ~2000 futures chained
  // together.  Now it should only be limited by available memory (and time)
  public void testSetFuture_stackOverflow() {
    SettableFuture<String> orig = SettableFuture.create();
    SettableFuture<String> prev = orig;
    for (int i = 0; i < 100000; i++) {

    receiving stream to process it.

    This change may increase OkHttp's memory use for applications that make many concurrent HTTP
    calls and that can receive data faster than they can process it. Previously, OkHttp limited
    HTTP/2 to 16 MiB of unacknowledged data per connection. With this fix there is a limit of 16 MiB
    of unacknowledged data per stream and no per-connection limit.

      finalResults.clear();
    }
    executor.shutdown();
  }

  // In a previous implementation this would cause a stack overflow after ~2000 futures chained
  // together.  Now it should only be limited by available memory (and time)
  public void testSetFuture_stackOverflow() {
    SettableFuture<String> orig = SettableFuture.create();
    SettableFuture<String> prev = orig;
    for (int i = 0; i < 100000; i++) {

                mode="serialization",
            )
            # Create a clone of the field, so that a Pydantic submodel is not returned
            # as is just because it's an instance of a subclass of a more limited class
            # e.g. UserInDB (containing hashed_password) could be a subclass of User
            # that doesn't have the hashed_password. But because it's a subclass, it