if objAPI == nil {
		return errServerNotInitialized
	}

	sys.objAPI = objAPI

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []string) {
	g := errgroup.WithNErrs(len(buckets))
	bucketMetas := make([]BucketMetadata, len(buckets))

MinIO's erasure coded backend uses high speed [HighwayHash](https://github.com/minio/highwayhash) checksums to protect against Bit Rot.

## How are drives used for Erasure Code?

------------------------------------------------

=== Seed and repetitions.

Run with a given seed (seed is a hex-encoded long).

------------------------------
./gradlew test -Dtests.seed=DEADBEEF
------------------------------

=== Repeats _all_ tests of ClassName N times.

Every test repetition will have a different method seed
(derived from a single random master seed).

import java.lang.annotation.Target;

/**
 * Disables Animal Sniffer's checking of compatibility with older versions of Java/Android.
 *
 * <p>Each package's copy of this annotation needs to be listed in our {@code pom.xml}.
 */
@Target({METHOD, CONSTRUCTOR, TYPE, FIELD})

import java.lang.annotation.Target;

/**
 * Disables Animal Sniffer's checking of compatibility with older versions of Java/Android.
 *
 * <p>Each package's copy of this annotation needs to be listed in our {@code pom.xml}.
 */
@Target({METHOD, CONSTRUCTOR, TYPE, FIELD})

        assertFalse(nic.isRdmaCapable());
        assertEquals(address, nic.getAddress());

        // Test scoring
        int score = nic.getScore();
        assertEquals(11000, score); // 10000 (link speed) + 1000 (RSS bonus)

        // Test encoding/decoding
        byte[] encoded = nic.encode();
        assertNotNull(encoded);
        assertEquals(Smb2ChannelCapabilities.NETWORK_INTERFACE_INFO_SIZE, encoded.length);

但是在查看基准得分和对比时，请注意以下几点。

## 基准测试和速度 { #benchmarks-and-speed }

当你查看基准测试时，几个不同类型的工具被等效地做比较是很常见的情况。

具体来说，是将 Uvicorn，Starlette 和 FastAPI 一起比较（在许多其它工具中）。

该工具解决的问题最简单，它将获得更好的性能。而且大多数基准测试并未测试该工具提供的其他功能。

层次结构如下：

* **Uvicorn**：ASGI服务器

但是在查看基準得分和對比時，請注意以下幾點。

## 基準測試和速度 { #benchmarks-and-speed }

當你查看基準測試時，常見到不同類型的多個工具被視為等同來比較。

具體來說，是將 Uvicorn、Starlette 和 FastAPI 同時進行比較（以及許多其他工具）。

該工具解決的問題越簡單，其效能就越好。而且大多數基準測試不會測試該工具提供的附加功能。

層次結構如下：

* **Uvicorn**：ASGI 伺服器

	setEventStreamHeaders(w)

	// Listen Publisher and peer-listen-client uses nonblocking send and hence does not wait for slow receivers.
	// Use buffered channel to take care of burst sends or slow w.Write()
	mergeCh := make(chan []byte, globalAPIConfig.getRequestsPoolCapacity()*len(globalEndpoints.Hostnames()))
	localCh := make(chan event.Event, globalAPIConfig.getRequestsPoolCapacity())

Daha fazla detay için [Dağıtım](deployment/index.md) bölümüne bakın.

///

## Kıyaslamalar ve Hız { #benchmarks-and-speed }