# MinIO Grid

The MinIO Grid is a package that provides two-way communication between servers.
It uses a single two-way connection to send and receive messages between servers.

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.

| `minio_cluster_audit_failed_messages`     | `counter` | Total number of messages that failed to send since start | `target_id` |
| `minio_cluster_audit_target_queue_length` | `gauge`   | Number of unsent messages in queue for target            | `target_id` |
| `minio_cluster_audit_total_messages`      | `counter` | Total number of messages sent since start                | `target_id` |

- To run `make test` and `make build` completes.

### Commit changes

After verification, commit your changes. This is a [great post](https://chris.beams.io/posts/git-commit/) on how to write useful commit messages

```
git commit -am 'Add some feature'
```

### Push to the branch

Push your locally committed changes to the remote origin (your fork)

```
git push origin my-new-feature
```

|:----------------------------------|:----------------------------------------------------------|
| `minio_audit_failed_messages`     | Total number of messages that failed to send since start. |
| `minio_audit_target_queue_length` | Number of unsent messages in queue for target.            |
| `minio_audit_total_messages`      | Total number of messages sent since start.                |

## Cluster Capacity Metrics

  # qos level is set to 1
  client.subscribe("minio", 1)

def on_message(client, userdata, msg):
    print(msg.payload)

# client_id is a randomly generated unique ID for the mqtt broker to identify the connection.
client = mqtt.Client(client_id="myclientid",clean_session=False)

client.on_connect = on_connect
client.on_message = on_message

client.connect("localhost",1883,60)
client.loop_forever()
```

```json
{
    "reason": <string>
}
```

The reason message is returned to the client.

## Example Plugin Implementation

#### **4.2.2  Run the Spark shell:**

```
./bin/spark-shell --master yarn-client --driver-memory 512m --executor-memory 512m
```

The command should produce an output as shown below. (with additional status messages):

```
Spark context Web UI available at http://172.26.236.247:4041
Spark context available as 'sc' (master = yarn, app id = application_1490217230866_0002).
Spark session available as 'spark'.
Welcome to