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okhttp/src/test/java/okhttp3/CallTest.kt
.build() assertThat(client.retryOnConnectionFailure).isTrue() executeSynchronously("/").assertBody("seed connection pool") executeSynchronously("/").assertBody("retry success") // The call that seeds the connection pool. listener.removeUpToEvent(CallEnd::class.java) // The ResponseFailed event is not necessarily fatal!
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docs/metrics/prometheus/README.md
[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints.
Plain Text - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Fri Apr 12 15:49:30 GMT 2024 - 7.1K bytes - Viewed (0) -
docs/pt/docs/advanced/events.md
Pode ser muito útil para configurar **recursos** que você precisa usar por toda aplicação, e que são **compartilhados** entre as requisições, e/ou que você precisa **limpar** depois. Por exemplo, o pool de uma conexão com o banco de dados ou carregamento de um modelo compartilhado de aprendizado de máquina (_machine learning_). ## Caso de uso Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.
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CHANGELOG/CHANGELOG-1.29.md
- CRI: image pull per runtime class is now supported. ([#121121](https://github.com/kubernetes/kubernetes/pull/121121), [@kiashok](https://github.com/kiashok)) - Certain `requestBody` parameters in the OpenAPI `v3` are now correctly marked as required. ([#120735](https://github.com/kubernetes/kubernetes/pull/120735), [@Jefftree](https://github.com/Jefftree))
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pyproject.toml
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okhttp/src/main/kotlin/okhttp3/internal/connection/ConnectPlan.kt
user.connectionConnectEnd(connection, route) // If we raced another call connecting to this host, coalesce the connections. This makes for // 3 different lookups in the connection pool! val pooled3 = routePlanner.planReusePooledConnection(this, routes) if (pooled3 != null) return pooled3.connection connection.withLock { connectionPool.put(connection)
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CHANGELOG/CHANGELOG-1.26.md
- Kubernetes is now built with Go 1.19.6 ([#115833](https://github.com/kubernetes/kubernetes/pull/115833), [@cpanato](https://github.com/cpanato)) [SIG Release and Testing] - Use HorizontalPodAutoscaler v2 for kubectl ([#114886](https://github.com/kubernetes/kubernetes/pull/114886), [@a7i](https://github.com/a7i)) [SIG CLI]
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docs/metrics/v3.md
| `minio_cluster_erasure_set_write_quorum` | `gauge` | Write quorum for the erasure set in a pool | `pool_id,set_id` | | `minio_cluster_erasure_set_online_drives_count` | `gauge` | Count of online drives in the erasure set in a pool | `pool_id,set_id` |
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docs/de/docs/tutorial/dependencies/index.md
Mit dem Dependency Injection System können Sie **FastAPI** ebenfalls mitteilen, dass Ihre *Pfadoperation-Funktion* von etwas anderem „abhängt“, das vor Ihrer *Pfadoperation-Funktion* ausgeführt werden soll, und **FastAPI** kümmert sich darum, es auszuführen und die Ergebnisse zu „injizieren“. Andere gebräuchliche Begriffe für dieselbe Idee der „Abhängigkeitsinjektion“ sind: * Ressourcen * Provider * Services
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docs/de/docs/advanced/behind-a-proxy.md
"root_path": "/api/v1" } ``` Diesmal jedoch unter der URL mit dem vom Proxy bereitgestellten Präfixpfad: `/api/v1`. Die Idee hier ist natürlich, dass jeder über den Proxy auf die Anwendung zugreifen soll, daher ist die Version mit dem Pfadpräfix `/api/v1` die „korrekte“.
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