*
     * @return write operation count
     */
    public long getRdmaWrites() {
        return rdmaWrites.get();
    }

    /**
     * Get total number of RDMA send operations
     *
     * @return send operation count
     */
    public long getRdmaSends() {
        return rdmaSends.get();
    }

    /**
     * Get total number of RDMA receive operations
     *

    public void test_startProcess_replaceExistingProcess() {
        String sessionId = "test_replace";
        List<String> cmdList1 = Arrays.asList("echo", "first");
        List<String> cmdList2 = Arrays.asList("echo", "second");
        Consumer<ProcessBuilder> pbCall = pb -> {
            pb.redirectErrorStream(true);
        };

        try {
            // Start first process

    assertEquals("Three Objects should be delivered.", 3, objectEvents.size());
    assertEquals("String fixture must be first object delivered.", EVENT, objectEvents.get(0));
    assertEquals("Object fixture must be second object delivered.", objEvent, objectEvents.get(1));
    assertEquals(
        "Comparable fixture must be thirdobject delivered.", compEvent, objectEvents.get(2));

    // Check the Catcher<Comparable<?>>...

        // Update first directory cache
        List<SmbFile> files1 = Arrays.asList(mockFile1);
        directoryLeaseManager.updateDirectoryCache(dir1, files1);

        // Update second directory cache
        List<SmbFile> files2 = Arrays.asList(mockFile2);
        directoryLeaseManager.updateDirectoryCache(dir2, files2);

        // Verify both caches are independent

> Notice the requirement of common SLA here original cluster had 1024 drives with 16 drives per erasure set with default parity of '4', second pool is expected to have a minimum of 8 drives per erasure set to match the original cluster SLA (parity count) of '4'. '12' drives stripe per erasure set in the second pool satisfies the original pool's parity count.

# WebSockets

When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

/// tip

        }

        /**
         * Compares two times.
         *
         * @param h1 the first hour
         * @param m1 the first minute
         * @param h2 the second hour
         * @param m2 the second minute
         * @return positive if first time is earlier, 0 if equal, negative if later
         */
        protected int compareTime(final int h1, final int m1, final int h2, final int m2) {

        assertEquals(2, names.length);
        assertEquals("Store1", names[0]);
        assertEquals("Store2", names[1]);
        assertEquals(1, loadCount[0]);

        // Second immediate call should use cache
        names = testFactory.getDataStoreNames();
        assertEquals(2, names.length);
        assertEquals(1, loadCount[0]); // Should not increment

                assertFalse(iterator2.hasNext(), "Second instance should have no elements");
                assertFalse(iterator3.hasNext(), "Third instance should have no elements");

                assertNull(iterator1.next(), "First instance next() should return null");
                assertNull(iterator2.next(), "Second instance next() should return null");

Und auch nachdem die `response` generiert wurde, bevor sie zurückgegeben wird.

Sie könnten beispielsweise einen benutzerdefinierten Header `X-Process-Time` hinzufügen, der die Zeit in Sekunden enthält, die benötigt wurde, um den Request zu verarbeiten und eine Response zu generieren:

{* ../../docs_src/middleware/tutorial001.py hl[10,12:13] *}

## Andere Middlewares