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docs/erasure/storage-class/README.md
with values `REDUCED_REDUNDANCY` or `STANDARD`, MinIO server uses default parity values. ### Set metadata In below example `minio-go` is used to set the storage class to `REDUCED_REDUNDANCY`. This means this object will be split across 6 data drives and 2 parity drives (as per the storage class set in previous step). ```go s3Client, err := minio.New("localhost:9000", "YOUR-ACCESSKEYID", "YOUR-SECRETACCESSKEY", true) if err != nil { log.Fatalln(err)
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 5.9K bytes - Viewed (0) -
cmd/untar.go
"github.com/klauspost/compress/s2" "github.com/klauspost/compress/zstd" gzip "github.com/klauspost/pgzip" xioutil "github.com/minio/minio/internal/ioutil" "github.com/pierrec/lz4/v4" ) // Max bzip2 concurrency across calls. 50% of GOMAXPROCS. var bz2Limiter = pbzip2.CreateConcurrencyPool((runtime.GOMAXPROCS(0) + 1) / 2) func detect(r *bufio.Reader) format { z, err := r.Peek(4) if err != nil { return formatUnknown }
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Tue Feb 18 16:25:55 UTC 2025 - 6K bytes - Viewed (2) -
docs/distributed/CONFIG.md
the drives via an ellipses syntax such as `minio server http://host{1...4}/disk{1...4}` this requirement added an additional burden to have sequential hostnames for us to make sure that we can provide horizontal distribution, however we have come across situations where sometimes this is not feasible and there are no easier alternatives without modifying /etc/hosts on the host system as root user. Many times in airgapped deployments this is not allowed or requires audits and approvals. MinIO...Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Tue Jun 25 02:30:18 UTC 2024 - 4.2K bytes - Viewed (0) -
src/test/java/jcifs/internal/SmbBasicFileInfoTest.java
Assertions.assertEquals(42L, info.getSize(), "size should match"); } // --- Parameterized: edge and boundary values across getters --- @ParameterizedTest(name = "attributes={0}, c={1}, w={2}, a={3}, size={4}") @MethodSource("valueProvider")
Registered: Sat Dec 20 13:44:44 UTC 2025 - Last Modified: Thu Aug 14 05:31:44 UTC 2025 - 5.8K bytes - Viewed (0) -
android/guava-tests/benchmark/com/google/common/base/AsciiBenchmark.java
@Param boolean noWorkToDo; Random random; String testString; @BeforeExperiment void setUp() { random = new Random(0xdeadbeef); // fix the seed so results are comparable across runs int nonAlpha = size / nonAlphaRatio; int alpha = size - nonAlpha; List<Character> chars = Lists.newArrayListWithCapacity(size); for (int i = 0; i < alpha; i++) { chars.add(randomAlpha());
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Thu Dec 19 18:03:30 UTC 2024 - 4.8K bytes - Viewed (0) -
android/guava/src/com/google/common/collect/HashBasedTable.java
* a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer, * since an iteration across all row keys occurs. * * <p>Note that this implementation is not synchronized. If multiple threads access this table * concurrently and one of the threads modifies the table, it must be synchronized externally. *Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Thu Jul 17 15:26:41 UTC 2025 - 4.1K bytes - Viewed (0) -
guava/src/com/google/common/collect/HashBasedTable.java
* a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer, * since an iteration across all row keys occurs. * * <p>Note that this implementation is not synchronized. If multiple threads access this table * concurrently and one of the threads modifies the table, it must be synchronized externally. *Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Thu Jul 17 15:26:41 UTC 2025 - 4.1K bytes - Viewed (0) -
internal/s3select/progress.go
"github.com/klauspost/compress/zstd" gzip "github.com/klauspost/pgzip" "github.com/pierrec/lz4/v4" ) type countUpReader struct { reader io.Reader bytesRead int64 } // Max bzip2 concurrency across calls. 50% of GOMAXPROCS. var bz2Limiter = pbzip2.CreateConcurrencyPool((runtime.GOMAXPROCS(0) + 1) / 2) func (r *countUpReader) Read(p []byte) (n int, err error) { n, err = r.reader.Read(p)
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Sun Sep 22 00:33:43 UTC 2024 - 4.3K bytes - Viewed (0) -
src/main/java/jcifs/smb1/http/NtlmServlet.java
/** The default domain for NTLM authentication */ private String defaultDomain; /** The domain controller for authentication */ private String domainController; /** Flag to enable load balancing across domain controllers */ private boolean loadBalance; /** Flag to enable basic authentication */ private boolean enableBasic; /** Flag to allow insecure basic authentication */Registered: Sat Dec 20 13:44:44 UTC 2025 - Last Modified: Sat Aug 16 01:32:48 UTC 2025 - 7.1K bytes - Viewed (0) -
docs/es/docs/async.md
Podrías tener turnos como en el ejemplo de las hamburguesas, primero la sala de estar, luego la cocina, pero como no estás esperando 🕙 nada, solo limpiando y limpiando, los turnos no afectarían nada. Tomaría la misma cantidad de tiempo terminar con o sin turnos (concurrencia) y habrías hecho la misma cantidad de trabajo.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 10:15:01 UTC 2025 - 25.4K bytes - Viewed (0)