* currently carrying zero streams is an idle stream. We keep it alive because reusing an existing
 * connection is typically faster than establishing a new one.
 *
 * When a single logical call requires multiple streams due to redirects or authorization
 * challenges, we prefer to use the same physical connection for all streams in the sequence. There
 * are potential performance and behavior consequences to this preference. To support this feature,

Compression happens inflight, i.e objects are compressed before being written to disk(s).
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.

    @Test
    void testToStringWithOptions() throws DcerpcException {
        dcerpcBinding.setOption("connect", "80");
        dcerpcBinding.setOption("bind", "123");
        // Order of options in toString might vary due to HashMap, so check for containment
        String result = dcerpcBinding.toString();
        assertTrue(result.startsWith(PROTO + ":" + SERVER + "[null,"), "toString should start correctly.");

        byte[] unicodeHash = auth.getUnicodeHash(challenge);
        byte[] ansiHash = auth.getAnsiHash(challenge);

        // Unicode hash returns empty array due to static LM_COMPATIBILITY=3
        assertEquals(0, unicodeHash.length);
        // ANSI hash always returns 24 bytes
        assertEquals(24, ansiHash.length);
    }

    // Test ANONYMOUS constant
    @Test

  * Deployment was Alpha in 1.1 (though it had apiVersion extensions/v1beta1) and
was disabled by default. Due to some non-backward-compatible API changes, any
Deployment objects you created in 1.1 won’t work with in the 1.2 release.

                (byte) 0x05, (byte) 0x06, (byte) 0x07, (byte) 0x08
              },
              0x89abcdef,
              0x0123456789abcdefL, // asInt/asLong as above, due to equal eight first bytes
              "efcdab89674523010102030405060708"),
          new ExpectedHashCode(
              new byte[] {(byte) 0xdf, (byte) 0x9b, (byte) 0x57, (byte) 0x13},
              0x13579bdf,

        if (entry != null) {
            // If entry still exists, it should have the new state
            assertEquals(newState, entry.getLeaseState());
        }
        // If entry doesn't exist, it was cleaned up due to timeout
    }

    @Test
    @DisplayName("Should use default lease break timeout when not specified")
    void testDefaultLeaseBreakTimeout() {
        String path = "/share/default-timeout.txt";

}

func (m *minioFileInfo) Size() int64 {
	return m.info.Size
}

func (m *minioFileInfo) Mode() os.FileMode {
	if m.isDir {
		return os.ModeDir
	}
	return os.ModePerm
}

var minFileDate = time.Date(1980, 1, 1, 0, 0, 0, 0, time.UTC) // Workaround for Filezilla

func (m *minioFileInfo) ModTime() time.Time {
	if !m.info.LastModified.IsZero() {
		return m.info.LastModified
	}
	return minFileDate
}

Das ist auch bei den meisten Webanwendungen der Fall.

Viele, viele Benutzer, aber Ihr Server wartet 🕙 darauf, dass deren nicht so gute Internetverbindungen die Requests übermitteln.

Und dann warten 🕙, bis die Responses zurückkommen.

		case <-t.C:
			m.lastHandout = time.Now()

			if m2, err := rpc.UpdateMetacacheListing(ctx, m); err == nil {
				if m2.status != scanStateStarted {
					if serverDebugLog {
						console.Debugln("returning", m.id, "due to scan state", m2.status, time.Now().Format(time.RFC3339))
					}
					return
				}
				m = m2
				if serverDebugLog {
					console.Debugln("refreshed", m.id, time.Now().Format(time.RFC3339))
				}