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README.md
```sh podman run -p 9000:9000 -p 9001:9001 \ quay.io/minio/minio server /data --console-address ":9001" ``` The MinIO deployment starts using default root credentials `minioadmin:minioadmin`. You can test the deployment using the MinIO Console, an embedded
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docs/en/docs/deployment/server-workers.md
You can see that: * The Gunicorn **process manager** starts with PID `19499` (in your case it will be a different number). * Then it starts `Listening at: http://0.0.0.0:80`. * Then it detects that it has to use the worker class at `uvicorn.workers.UvicornWorker`. * And then it starts **4 workers**, each with its own PID: `19511`, `19513`, `19514`, and `19515`.
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dbflute_fess/dfprop/commonColumnMap.dfprop
# ; beforeUpdateMap = map:{ # ; UPDATE_DATETIME = $$AccessContext$$.getAccessLocalDateTimeOnThread() # ; UPDATE_USER = $$AccessContext$$.getAccessUserOnThread() # } # } # # *The line that starts with '#' means comment-out. # map:{ #; commonColumnMap = map:{ # ; REGISTER_DATETIME=TIMESTAMP ; REGISTER_USER=VARCHAR # ; UPDATE_DATETIME=TIMESTAMP ; UPDATE_USER=VARCHAR #}
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dbflute_fess/dfprop/classificationDefinitionMap.dfprop
# ; where=[condition for select]; orderBy=[column-name for ordering] # ; exceptCodeList=[the list of except code] # } # } # } # # *The line that starts with '#' means comment-out. # map:{ # example for implicit classification #; Flg = list:{ # ; map:{topComment=general boolean classification for every flg-column; codeType=Number}
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architecture/networking/controllers.md
Construction should NOT actually start running all of these things, do I/O, or block in anyway. Running the controller actually starts processing things. Normally, this just means running the queue. All informers created by `kube.Client` are kept track in the client, and started in one go with `RunAndWait` in one centralized call.
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mockwebserver/src/main/kotlin/mockwebserver3/MockWebServer.kt
* replaced with [setDispatcher][dispatcher]. */ fun enqueue(response: MockResponse) = (dispatcher as QueueDispatcher).enqueueResponse(response) /** * Starts the server on the loopback interface for the given port. * * @param port the port to listen to, or 0 for any available port. Automated tests should always
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dbflute_fess/dfprop/lastafluteMap.dfprop
# ; freeGenList = list:{ [env or config or label or message or html] } # ; propertiesHtmlList = list:{ [env or config or label or message] } # } # } # } # # *The line that starts with '#' means comment-out. # map:{ # your service name, camel case, initial uncapitalised ; serviceName = fess # package for your domain name, e.g. com.example ; domainPackage = org.codelibs.fess
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docs/en/docs/tutorial/static-files.md
You can read more about this in the [Advanced User Guide](../advanced/index.md){.internal-link target=_blank}. ## Details The first `"/static"` refers to the sub-path this "sub-application" will be "mounted" on. So, any path that starts with `"/static"` will be handled by it. The `directory="static"` refers to the name of the directory that contains your static files. The `name="static"` gives it a name that can be used internally by **FastAPI**.
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okhttp/src/test/java/okhttp3/internal/idn/IdnaMappingTableTest.kt
val rangeLimit = when { r + 1 < rangesOffsets.size -> rangesOffsets[r + 1] * 4 else -> rangesOffsets.size * 4 } // Confirm this range starts with byte 0. assertThat(compactTable.ranges[rangePos].code).isEqualTo(0) // Confirm this range's index byte is increasing. val rangeStarts = mutableListOf<Int>()
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docs/en/docs/deployment/concepts.md
And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨 ### Multiple Processes - An Example In this example, there's a **Manager Process** that starts and controls two **Worker Processes**. This Manager Process would probably be the one listening on the **port** in the IP. And it would transmit all the communication to the worker processes.
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