* <p>This method returns all duplicate host configurations in the system,
     * ordered by sort order, regular name, and duplicate hostname. The results
     * are limited by the configured maximum fetch size to prevent memory issues.</p>
     *
     * @return a list of all DuplicateHost entities
     */
    public List<DuplicateHost> getDuplicateHostList() {

        return duplicateHostBhv.selectList(cb -> {

            assertEquals(runtimeException, exception.getCause());
        });

        // Test with error
        Error error = new OutOfMemoryError("Out of memory");
        assertDoesNotThrow(() -> {
            RuntimeCIFSException exception = new RuntimeCIFSException(error);
            assertEquals(error, exception.getCause());
        });
    }

    @Test

    private AutoCloseable mocks;

    @BeforeEach
    public void setUp() throws Exception {
        mocks = MockitoAnnotations.openMocks(this);

        // Set up mock provider to return TCP memory regions
        when(mockProvider.registerMemory(any(ByteBuffer.class), any())).thenAnswer(invocation -> {
            ByteBuffer buffer = invocation.getArgument(0);
            EnumSet<RdmaAccess> access = invocation.getArgument(1);

   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share

      MockResponse
        .Builder()
        .onRequestBody(CloseSocket())
        .build(),
    )
    // Limit the size of the request body that the server holds in memory to an arbitrary
    // 3.5 MBytes so this test can pass on devices with little memory.
    server.bodyLimit = 7 * 512 * 1024
    val connection = server.url("/").toUrl().openConnection() as HttpURLConnection
    connection.requestMethod = "POST"

				return
			}
			for result := range prefixResultCh {
				results <- result
			}
		}
		xioutil.SafeClose(results)
	}()

	// Goroutine to periodically save batch-expire job's in-memory state
	saverQuitCh := make(chan struct{})
	go func() {
		saveTicker := time.NewTicker(10 * time.Second)
		defer saveTicker.Stop()
		quit := false
		after := time.Minute
		for !quit {
			select {

Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.

#### Framed protocols

	info := madmin.GetProcInfo(context.Background(), globalLocalNodeName)
	return madminProcInfo.NewJSONWith(&info), nil
}

// GetMemInfoHandler - returns memory information.
func (s *peerRESTServer) GetMemInfoHandler(_ *grid.MSS) (*grid.JSON[madmin.MemInfo], *grid.RemoteErr) {
	info := madmin.GetMemInfo(context.Background(), globalLocalNodeName)

 * {@link ESSourceReader} reads documents from Elasticsearch using the scroll API.
 * It implements the {@link DocumentReader} interface to provide a way to iterate over documents
 * in a large index without loading all of them into memory at once.
 * </p>
 *
 * <p>
 * The reader supports limiting the number of documents read based on a percentage of the total documents

 * highest valued character that requires escaping. For example a replacement map containing the
 * single character '{@code \}{@code u1000}' will require approximately 16K of memory. If you need
 * to create multiple escaper instances that have the same character replacement mapping consider
 * using {@link ArrayBasedEscaperMap}.
 *
 * @author Sven Mawson
 * @author David Beaumont
 * @since 15.0