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After updating the configuration file, restart the Minio sever to put the changes into effect. The server will print a line like SQS ARNs: arn:minio:sqs::1:mqtt at start-up if there were no errors.

Minio supports any MQTT server that supports MQTT 3.1 or 3.1.1 and can connect to them over TCP, TLS, or a Websocket connection using tcp:// , tls:// , or ws:// respectively as the scheme for the broker url. See the Go Client documentation for more information.

Note that, you can add as many MQTT server endpoint configurations as needed by providing an identifier (like "1" in the example above) for the MQTT instance and an object of per-server configuration parameters.

We will enable bucket event notification to trigger whenever a JPEG image is uploaded or deleted images bucket on myminio server. Here ARN value is arn:minio:sqs::1:mqtt .

The python program below waits on mqtt topic /minio and prints event notifications on the console. We use paho-mqtt library to do this.

Execute this example python program to watch for MQTT events on the console.

You should receive the following event notification via MQTT once the upload completes.

Install Elasticsearch server.

This notification target supports two formats: namespace and access .

When the namespace format is used, Minio synchronizes objects in the bucket with documents in the index. For each event in the Minio, the server creates a document with the bucket and object name from the event as the document ID. Other details of the event are stored in the body of the document. Thus if an existing object is over-written in Minio, the corresponding document in the Elasticsearch index is updated. If an object is deleted, the corresponding document is deleted from the index.

When the access format is used, Minio appends events as documents in an Elasticsearch index. For each event, a document with the event details, with the timestamp of document set to the event's timestamp is appended to an index. The ID of the documented is randomly generated by Elasticsearch. No documents are deleted or modified in this format.

The steps below show how to use this notification target in namespace format. The other format is very similar and is omitted for brevity.

Minio requires a 5.x series version of Elasticsearch. This is the latest major release series. Elasticsearch provides version upgrade migration guidelines .

The default location of Minio server configuration file is ~/.minio/config.json . The Elasticsearch configuration is located in the elasticsearch key under the notify top-level key. Create a configuration key-value pair here for your Elasticsearch instance. The key is a name for your Elasticsearch endpoint, and the value is a collection of key-value parameters described in the table below.

TypeError is raised if func is not a Python function or method.

New in version 3.3.

Get the object wrapped by func . It follows the chain of __wrapped__ attributes returning the last object in the chain.

stop is an optional callback accepting an object in the wrapper chain as its sole argument that allows the unwrapping to be terminated early if the callback returns a true value. If the callback never returns a true value, the last object in the chain is returned as usual. For example, signature() uses this to stop unwrapping if any object in the chain has a __signature__ attribute defined.

ValueError is raised if a cycle is encountered.

New in version 3.4.

When the following functions return “frame records,” each record is a named tuple FrameInfo(frame, filename, lineno, function, code_context, index) . The tuple contains the frame object, the filename, the line number of the current line, the function name, a list of lines of context from the source code, and the index of the current line within that list.

Changed in version 3.5: Return a named tuple instead of a tuple.

Keeping references to frame objects, as found in the first element of the frame records these functions return, can cause your program to create reference cycles. Once a reference cycle has been created, the lifespan of all objects which can be accessed from the objects which form the cycle can become much longer even if Python’s optional cycle detector is enabled. If such cycles must be created, it is important to ensure they are explicitly broken to avoid the delayed destruction of objects and increased memory consumption which occurs.

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clause. This is also important if the cycle detector was disabled when Python was compiled or using gc.disable() . For example:

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The optional context argument supported by most of these functions specifies the number of lines of context to return, which are centered around the current line.

Overview

You can create a new OpenShift Enterprise application from source code, images, or templates by using either the OpenShift CLI or web console.

The command allows you to create applications using source code in a local or remote Git repository.

To create an application using a Git repository in a local directory:

You can use a subdirectory of your source code repository by specifying a flag. To create an application using a remote Git repository and a context subdirectory:

Also, when specifying a remote URL, you can specify a Git branch to use by appending to the end of the URL:

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to provide load-balanced access to the deployment running your image.

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Docker Source

Build Strategy Detection

If a is in the repository when creating a new application, OpenShift Enterprise generates a build strategy . Otherwise, it generates a strategy .

You can specify a strategy by setting the flag to either or .

Language Detection

If creating a build, attempts to determine the language builder to use by the presence of certain files in the root of the repository:

After a language is detected, searches the OpenShift Enterprise server for image stream tags that have a annotation matching the detected language, or an image stream that matches the name of the detected language. If a match is not found, searches the Docker Hub registry for an image that matches the detected language based on name.

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