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docs/bucket/quota/README.md
Buckets can be configured to have `Hard` quota - it disallows writes to the bucket after configured quota limit is reached. ## Prerequisites - Install MinIO - [MinIO Quickstart Guide](https://min.io/docs/minio/linux/index.html#procedure). - [Use `mc` with MinIO Server](https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart) ## Set bucket quota configuration
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cmd/naughty-disk_test.go
"io" "sync" "time" "github.com/minio/madmin-go/v3" ) // naughtyDisk wraps a POSIX disk and returns programmed errors // specified by the developer. The purpose is to simulate errors // that are hard to simulate in practice like DiskNotFound. // Programmed errors are stored in errors field. type naughtyDisk struct { // The real disk disk StorageAPI // Programmed errors: API call number => error to return
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Tue Apr 23 17:15:52 GMT 2024 - 9.3K bytes - Viewed (0) -
.gitignore
docs/debugging/hash-set/hash-set docs/debugging/healing-bin/healing-bin docs/debugging/inspect/inspect docs/debugging/pprofgoparser/pprofgoparser docs/debugging/reorder-disks/reorder-disks docs/debugging/populate-hard-links/populate-hardlinks
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docs/erasure/README.md
Bit Rot, also known as data rot or silent data corruption is a data loss issue faced by disk drives today. Data on the drive may silently get corrupted without signaling an error has occurred, making bit rot more dangerous than a permanent hard drive failure. 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?
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cmd/bitrot.go
} } return nil } // bitrotSelfTest performs a self-test to ensure that bitrot // algorithms compute correct checksums. If any algorithm // produces an incorrect checksum it fails with a hard error. // // bitrotSelfTest tries to catch any issue in the bitrot implementation // early instead of silently corrupting data. func bitrotSelfTest() { checksums := map[BitrotAlgorithm]string{
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Tue Jan 30 20:43:25 GMT 2024 - 7.6K bytes - Viewed (0) -
docs/sts/wso2.md
### 2. Configure WSO2 Once WSO2 is up and running, configure WSO2 to generate Self contained id_tokens. In OAuth 2.0 specification there are primarily two ways to provide id_tokens 1. The id_token is an identifier that is hard to guess. For example, a randomly generated string of sufficient length, that the server handling the protected resource can use to lookup the associated authorization information.
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internal/dsync/dsync_test.go
func BenchmarkMutexNoSpin(b *testing.B) { b.ResetTimer() b.ReportAllocs() // This benchmark models a situation where spinning in the mutex should be // non-profitable and allows to confirm that spinning does not do harm. // To achieve this we create excess of goroutines most of which do local work. // These goroutines yield during local work, so that switching from // a blocked goroutine to other goroutines is profitable.
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internal/hash/reader.go
// callers to indicate if they want to disable md5sum checksum. func NewReaderWithOpts(ctx context.Context, src io.Reader, opts Options) (*Reader, error) { // return hard limited reader return newReader(ctx, src, opts.Size, opts.MD5Hex, opts.SHA256Hex, opts.ActualSize, opts.DisableMD5, opts.ForceMD5) } // NewReader returns a new Reader that wraps src and computes
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Mon Sep 18 17:00:54 GMT 2023 - 10.8K bytes - Viewed (0) -
cmd/object-api-utils.go
return gotIdx } } // compressSelfTest performs a self-test to ensure that compression // algorithms completes a roundtrip. If any algorithm // produces an incorrect checksum it fails with a hard error. // // compressSelfTest tries to catch any issue in the compression implementation // early instead of silently corrupting data. func compressSelfTest() { // 4 MB block. // Approx runtime ~30ms
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docs/kms/IAM.md
There used to be two different mechanisms - one for regular S3 objects and one for IAM data. - Reduced server startup time. For IAM encryption with the root credentials, MinIO had to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU. The new KMS-based approach can use a key derivation function that is orders of magnitudes cheaper w.r.t. memory and CPU.
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