statistics.recordWriteError();
            throw e;
        }
    }

    /**
     * Gets the RDMA buffer manager for memory operations.
     *
     * @return buffer manager instance
     */
    public RdmaBufferManager getBufferManager() {
        return bufferManager;
    }

    /**
     * Gets RDMA statistics.
     *
     * @return statistics instance
     */

  long size();

  /**
   * Returns a current snapshot of this cache's cumulative statistics, or a set of default values if
   * the cache is not recording statistics. All statistics begin at zero and never decrease over the
   * lifetime of the cache.
   *
   * <p><b>Warning:</b> this cache may not be recording statistical data. For example, a cache

    /** The suggest helper for managing suggest functionality. */
    @Resource
    protected SuggestHelper suggestHelper;

    /**
     * Retrieves suggest statistics including word counts.
     *
     * @return JSON response containing suggest statistics
     */
    // GET /api/admin/suggest
    @Execute
    public JsonResponse<ApiResult> get$index() {
        final SuggestBody body = new SuggestBody();

  long size();

  /**
   * Returns a current snapshot of this cache's cumulative statistics, or a set of default values if
   * the cache is not recording statistics. All statistics begin at zero and never decrease over the
   * lifetime of the cache.
   *
   * <p><b>Warning:</b> this cache may not be recording statistical data. For example, a cache

                queueSize.incrementAndGet();
            }
        }
        // If queue is full, let the buffer be garbage collected
    }

    /**
     * Get current cache statistics for monitoring
     * @return formatted statistics string
     */
    public static String getCacheStatistics() {
        return String.format("BufferCache: queued=%d, max=%d, utilization=%.1f%%", queueSize.get(), MAX_BUFFERS,

        Map<EventType, Long> stats = logger.getStatistics();
        assertEquals(Long.valueOf(1), stats.get(EventType.CONFIGURATION_CHANGE), "Should have 1 configuration event");
    }

    @Test
    @DisplayName("Test statistics accumulation")
    void testStatisticsAccumulation() {
        logger.logAuthentication(true, "user1", "DOMAIN", "192.168.1.1");
        logger.logAuthentication(false, "user2", "DOMAIN", "192.168.1.2");

 *
 * <p>The core interface used to represent caches is {@link Cache}. In-memory caches can be
 * configured and created using {@link CacheBuilder}, with cache entries being loaded by {@link
 * CacheLoader}. Statistics about cache performance are exposed using {@link CacheStats}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caches</a>.
 *

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

 * total combined across the variables maintaining the sum.
 *
 * <p>This class is usually preferable to {@link AtomicLong} when multiple threads update a common
 * sum that is used for purposes such as collecting statistics, not for fine-grained synchronization
 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of