- [ ] Test pagination and sorting
- [ ] Validate security and access control

### Testing

- [ ] Functional testing of search queries
- [ ] Performance testing (response time, throughput)
- [ ] Security testing (authentication, authorization)
- [ ] Integration testing with client applications
- [ ] User acceptance testing
- [ ] Load testing for production capacity

### Go-Live

 *       anything about how the property is tested. To find out, read the code.
 *   <li>These tests are "conformance tests", and do not attempt to test throughput, latency,
 *       scalability or other performance factors (see the separate "jtreg" tests for a set intended
 *       to check these for the most central aspects of functionality.) So, most tests use the

 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but
 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues

- Implemented scoring for DRA-backed extended resources. ([#134058](https://github.com/kubernetes/kubernetes/pull/134058), [@bart0sh](https://github.com/bart0sh)) [SIG Node, Scheduling and Testing]

 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but
 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues

- DRA: scheduling pods is up to 16x faster, depending on the scenario. Scheduling throughput depends a lot on cluster utilization. It is higher for lightly loaded clusters with free resources and gets lower when the cluster utilization increases. ([#127277](https://github.com/kubernetes/kubernetes/pull/127277), [@pohly](https://github.com/pohly))...

- The scheduler implemented QueueingHint in the TaintToleration plugin, enhancing the throughput of scheduling. ([#124287](https://github.com/kubernetes/kubernetes/pull/124287), [@sanposhiho](https://github.com/sanposhiho)) [SIG Scheduling and Testing]

    assertThat(cache.asMap().keySet()).containsExactly(2, 4);

    CacheTesting.processPendingNotifications(cache);
    assertThat(removalListener.getCount()).isEqualTo(2);

    // Should we pepper more of these calls throughout the above? Where?
    CacheTesting.checkValidState(cache);
  }

  /**
   * Tests that when a single entry exceeds the segment's max weight, the new entry is immediately
   * evicted and nothing else.
   */

- `volatile` for status flags
- Synchronized blocks for critical sections
- Thread-local storage via `CrawlingParameterUtil`

**Resource Management**:
- `AutoCloseable` throughout
- `DeferredFileOutputStream` for large responses (temp files for >1MB)
- Connection pooling with limits
- Background temp file deletion via `FileUtil.deleteInBackground()`

**Fault Tolerance**:

 * <li>Default values for crawling and indexing operations</li>
 * <li>User agent strings and patterns for web crawling</li>
 * <li>Status constants for job execution and system states</li>
 * <li>Field names and keys used throughout the application</li>
 * <li>Date/time format patterns</li>
 * <li>Authentication type identifiers</li>
 * <li>Reserved words and regex patterns for query processing</li>
 * </ul>
 */