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docs/pt/docs/help-fastapi.md
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 8.4K bytes - Viewed (0) -
docs/pt/docs/deployment/concepts.md
Mas em muitos casos, você desejará executar vários processos de trabalho ao mesmo tempo. ### Processos Múltiplos - Trabalhadores Se você tiver mais clientes do que um único processo pode manipular (por exemplo, se a máquina virtual não for muito grande) e tiver **vários núcleos** na CPU do servidor, você poderá ter **vários processos** em execução com o mesmo aplicativo ao mesmo tempo e distribuir todas as solicitações entre eles.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun May 11 13:37:26 UTC 2025 - 19.7K bytes - Viewed (0) -
docs/pt/docs/async.md
Então, durante esse tempo, o computador pode ir e fazer outro trabalho, enquanto o "arquivo lento" 📝 termina. Então o computador / programa 🤖 irá voltar sempre que tiver uma chance, seja porque ele está esperando novamente, ou quando ele 🤖 terminar todo o trabalho que tem até esse ponto. E ele 🤖 irá ver se alguma das tarefas que estava esperando já terminaram de fazer o que quer que tinham que fazer.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 23.6K bytes - Viewed (0) -
src/main/resources/fess_indices/_aws/fess.json
}, "portuguese_keywords": {
Registered: Thu Sep 04 12:52:25 UTC 2025 - Last Modified: Sat Jun 14 00:36:40 UTC 2025 - 117.3K bytes - Viewed (0) -
cmd/tier.go
Help: "Time taken by requests served by warm tier", Buckets: []float64{0.01, 0.1, 1, 2, 5, 10, 60, 5 * 60, 15 * 60, 30 * 60}, }, []string{"tier"}), } func (t *tierMetrics) Observe(tier string, dur time.Duration) { t.histogram.With(prometheus.Labels{"tier": tier}).Observe(dur.Seconds()) } func (t *tierMetrics) logSuccess(tier string) { t.Lock() defer t.Unlock()
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 15.6K bytes - Viewed (0) -
cmd/erasure-sets.go
wg.Wait() // Reset for the next interval timer.Reset(globalAPIConfig.getDeleteCleanupInterval()) } } } func (s *erasureSets) cleanupStaleUploads(ctx context.Context) { timer := time.NewTimer(globalAPIConfig.getStaleUploadsCleanupInterval()) defer timer.Stop() for { select { case <-ctx.Done(): return case <-timer.C: var wg sync.WaitGroup for _, set := range s.sets {
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 37K bytes - Viewed (1) -
docs/bucket/lifecycle/DESIGN.md
Transition tiers can be added to MinIO using `mc admin tier add` command to associate a `gcs`, `s3` or `azure` bucket or prefix path on a bucket to the tier name. Lifecycle transition rules can be applied to buckets (both versioned and un-versioned) by specifying the tier name defined above as the transition storage class for the lifecycle rule. ## Implementation
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 4.2K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/timer/HotThreadMonitorTargetTest.java
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, * either express or implied. See the License for the specific language * governing permissions and limitations under the License. */ package org.codelibs.fess.timer; import org.codelibs.core.timer.TimeoutTarget; import org.codelibs.fess.unit.UnitFessTestCase; /** * Test class for HotThreadMonitorTarget. */ public class HotThreadMonitorTargetTest extends UnitFessTestCase {
Registered: Thu Sep 04 12:52:25 UTC 2025 - Last Modified: Tue Aug 19 14:09:36 UTC 2025 - 4K bytes - Viewed (0) -
cmd/bucket-lifecycle.go
} t.activeTasks.Add(-1) } } } func (t *transitionState) addLastDayStats(tier string, ts tierStats) { t.lastDayMu.Lock() defer t.lastDayMu.Unlock() if _, ok := t.lastDayStats[tier]; !ok { t.lastDayStats[tier] = &lastDayTierStats{} } t.lastDayStats[tier].addStats(ts) } func (t *transitionState) getDailyAllTierStats() DailyAllTierStats { t.lastDayMu.RLock()
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 33.7K bytes - Viewed (0) -
cmd/benchmark-utils_test.go
sha256hex := "" // benchmark utility which helps obtain number of allocations and bytes allocated per ops. b.ReportAllocs() // the actual benchmark for PutObject starts here. Reset the benchmark timer. for i := 0; b.Loop(); i++ { // insert the object. objInfo, err := obj.PutObject(b.Context(), bucket, "object"+strconv.Itoa(i),
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 8.1K bytes - Viewed (0)