"nine", 9,
            "ten", 10),
        "one",
        1,
        "two",
        2,
        "three",
        3,
        "four",
        4,
        "five",
        5,
        "six",
        6,
        "seven",
        7,
        "eight",
        8,
        "nine",
        9,
        "ten",
        10);
  }

on 16 drive MinIO deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB
file will take 200 MiB space. But, if you use ten data and six parity drives, same 100 MiB file takes around 160 MiB. If you use 14 data and
two parity drives, 100 MiB file takes only approximately 114 MiB.

Reed-Solomon code to shard objects into variable data and parity blocks. For example, in a 12 drive setup, an object can be sharded to a variable number of data and parity blocks across all the drives - ranging from six data and six parity blocks to ten data and two parity blocks.

By default, MinIO shards the objects across N/2 data and N/2 parity drives. Though, you can use [storage classes](https://github.com/minio/minio/tree/master/docs/erasure/storage-class) to use a custom configuration....

            "nine", 9,
            "ten", 10),
        "one",
        1,
        "two",
        2,
        "three",
        3,
        "four",
        4,
        "five",
        5,
        "six",
        6,
        "seven",
        7,
        "eight",
        8,
        "nine",
        9,
        "ten",
        10);
  }

        verifyArcfourHMAC(17, expect, data, key);
    }



    @Test
    public void testAES128Checksum () throws GeneralSecurityException {
        String data = "eight nine ten eleven twelve thirteen";
        String key = "9062430C8CDA3388922E6D6A509F5B7A";
        String expect = "01A4B088D45628F6946614E3";
        verifyAESHMAC(3, expect, key, data.getBytes(StandardCharsets.US_ASCII));
    }

            "nine", 9,
            "ten", 10),
        "one",
        1,
        "two",
        2,
        "three",
        3,
        "four",
        4,
        "five",
        5,
        "six",
        6,
        "seven",
        7,
        "eight",
        8,
        "nine",
        9,
        "ten",
        10);
  }

    for (int i = 0; i < LongMath.halfPowersOf10.length; i++) {
      assertEquals(
          BigIntegerMath.sqrt(BigInteger.TEN.pow(2 * i + 1), FLOOR),
          BigInteger.valueOf(LongMath.halfPowersOf10[i]));
    }
    BigInteger nextBigger =
        BigIntegerMath.sqrt(BigInteger.TEN.pow(2 * LongMath.halfPowersOf10.length + 1), FLOOR);
    assertTrue(nextBigger.compareTo(BigInteger.valueOf(Long.MAX_VALUE)) > 0);
  }

Bạn sẽ có được auto-completion trong code, thậm chí trước đó là không thể. Như trong ví dụ, khóa `price` bên trong một JSON (đó có thể được lồng nhau) đến từ một request.

Không còn nhập sai tên khóa, quay đi quay lại giữa các tài liệu hoặc cuộn lên cuộn xuống để tìm xem cuối cùng bạn đã sử dụng `username` hay `user_name`.

### Ngắn gọn

        .that(Longs.tryParse(BigInteger.valueOf(MAX_VALUE).multiply(BigInteger.TEN).toString()))
        .isNull();
    assertWithMessage("Min long - 1")
        .that(Longs.tryParse(BigInteger.valueOf(MIN_VALUE).subtract(BigInteger.ONE).toString()))
        .isNull();
    assertWithMessage("Min long * 10")
        .that(Longs.tryParse(BigInteger.valueOf(MIN_VALUE).multiply(BigInteger.TEN).toString()))
        .isNull();

        },
        "dutch_keywords": {
          "type":       "keyword_marker",
          "keywords": ["hallo", "wereld", "zoeken"]
        },