This document explains the design approach of server side bucket replication. If you're looking to get started with replication, we suggest you go through the [Bucket replication guide](https://github.com/minio/minio/blob/master/docs/bucket/replication/README.md) first.

## Overview

  - type: checkboxes
    attributes:
      label: Checklist
      options:
        - label: >
            I agree to follow the
            [code of conduct](https://github.com/google/.github/blob/master/CODE_OF_CONDUCT.md).
          required: true
        - label: >
            I have read and understood the [contribution
            guidelines](https://github.com/google/guava/wiki/HowToContribute#feature-requests).

## 기타 미들웨어

다른 많은 ASGI 미들웨어가 있습니다.

예를 들어:

<a href=“https://github.com/encode/uvicorn/blob/master/uvicorn/middleware/proxy_headers.py” class=“external-link” target=“_blank”>유비콘의 `ProxyHeadersMiddleware`></a>
<a href=“https://github.com/florimondmanca/msgpack-asgi” class=“external-link” target=“_blank”>MessagePack</a>

import org.jspecify.annotations.Nullable;

/**
 * A wrapper class for unsigned {@code long} values, supporting arithmetic operations.
 *
 * <p>In some cases, when speed is more important than code readability, it may be faster simply to
 * treat primitive {@code long} values as unsigned, using the methods from {@link UnsignedLongs}.
 *
 * <p>See the Guava User Guide article on <a

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,

    b ^= b >>> 47;
    b *= K3;
    return b;
  }

  /**
   * Computes intermediate hash of 32 bytes of byte array from the given offset. Results are
   * returned in the output array - this is 12% faster than allocating new arrays every time.
   */
  private static void weakHashLength32WithSeeds(
      byte[] bytes, int offset, long seedA, long seedB, long[] output) {
    long part1 = load64(bytes, offset);

   * moved to index "distance", and the element at index {@code i} ends up at index {@code (distance
   * + i) mod array.length}. This is equivalent to {@code Collections.rotate(Chars.asList(array),
   * distance)}, but is considerably faster and avoids allocation and garbage collection.
   *
   * <p>The provided "distance" may be negative, which will rotate left.
   *
   * @since 32.0.0
   */
  public static void rotate(char[] array, int distance) {

   * moved to index "distance", and the element at index {@code i} ends up at index {@code (distance
   * + i) mod array.length}. This is equivalent to {@code Collections.rotate(Shorts.asList(array),
   * distance)}, but is considerably faster and avoids allocation and garbage collection.
   *
   * <p>The provided "distance" may be negative, which will rotate left.
   *
   * @since 32.0.0
   */
  public static void rotate(short[] array, int distance) {

   *
   * <p>Since Strings are immutable and built into the jdk we can optimize some operations
   *
   * <ul>
   *   <li>use {@link StringReader} instead of {@link CharSequenceReader}. It is faster since it can
   *       use {@link String#getChars(int, int, char[], int)} instead of copying characters one by
   *       one with {@link CharSequence#charAt(int)}.

   *
   * <p>Since Strings are immutable and built into the jdk we can optimize some operations
   *
   * <ul>
   *   <li>use {@link StringReader} instead of {@link CharSequenceReader}. It is faster since it can
   *       use {@link String#getChars(int, int, char[], int)} instead of copying characters one by
   *       one with {@link CharSequence#charAt(int)}.