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https://github.com/Ayanda-D/rabbitmq-queue-master-balancer
RabbitMQ tool and plugin for balancing out Queue Masters in a clustered installation
https://github.com/Ayanda-D/rabbitmq-queue-master-balancer
Last synced: 21 days ago
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RabbitMQ tool and plugin for balancing out Queue Masters in a clustered installation
- Host: GitHub
- URL: https://github.com/Ayanda-D/rabbitmq-queue-master-balancer
- Owner: Ayanda-D
- Created: 2017-09-26T07:24:08.000Z (almost 7 years ago)
- Default Branch: v3.7.x
- Last Pushed: 2022-07-03T20:40:37.000Z (almost 2 years ago)
- Last Synced: 2024-02-23T07:33:27.214Z (4 months ago)
- Language: Erlang
- Homepage:
- Size: 282 KB
- Stars: 53
- Watchers: 7
- Forks: 4
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Lists
- awesome-stars - rabbitmq-queue-master-balancer - D | 53 | (Erlang)
README
## RabbitMQ Queue Master Balancer
RabbitMQ Queue Master Balancer is a tool used for attaining queue master equilibrium across a RabbitMQ cluster installation. The plugin achieves this by computing queue master counts on nodes and engaging in shuffling procedures, with the ultimate goal of evenly distributing `queue masters` across RabbitMQ cluster nodes. Internally, the tool comprises of an FSM engine which transitions between different states of operation, to allow the procedures to be carried in a fully controllable manner.
We define **Queue Equilibrium** as the state in which the following condition is/has been satisfied across all running cluster nodes:
Points to consider prior usage:
- This plugin will only apply to **mirrored queues (with or without messages)**, and **non-mirrored queues without messages**. For non-mirrored queues holding messages, we recommend users first setup an [HA policy](https://www.rabbitmq.com/ha.html) of choice, based on their cluster setup and needs, and then make use of this plugin.
- The plugin considers **single, non-mirrored queues holding messages** a risk to migrate around cluster nodes, for example, in case of any network problems during migration procedures of such a queue, possibility of losing messages cannot be ignored. It therefore ignores such queues, up until users have setup an [HA policy](https://www.rabbitmq.com/ha.html) of choice and have slave queues running on the cluster for message redundancy. This is a safety precaution to protect users from any possibility of message loss during queue migration.
- The plugin is young, and yet to mature. We strictly recommend usage for RabbitMQ support operations only, at planned and scheduled time periods when the cluster nodes are under minimal, or most preferably, zero traffic load.
## Design
The following diagram depicts the underlying design and operational concepts of the Queue Master Balancer FSM engine.
As illustrated, the plugin is at any time in it's operation in one of 4 states, which are:
- **IDLE:** In this state, the plugin is at rest and carries out no actions while awaiting to be triggered into READY or BALANCING QUEUES states depending on the received event, which are `$load_queues` or `$balance_queues` event.
- **READY:** The plugin engages the READY state whenever it is loaded with queues. The `$load_queues` event will cause the plugin to acquire all queues in preparation for balancing them out in the cluster, thus entering the READY state.
- **BALANCING QUEUES:** This is the state in which the plugin is "working", i.e. moving queues around the cluster to achieve queue equilibrium. The `$balance_queues` event will bring the plugin into this state, depending on its previous state.
- **PAUSE:** While in BALANCING QUEUES state, the plugin may be paused by triggering the `$pause` event. Once in PAUSE state, the plugin retains the current pending queues still to be balanced, and awaits reception of `$continue` event to proceed in balancing them out. This `$continue` event takes the plugin's state back to BALANCING QUEUES.
In addition, regardless of its current state, the Queue Master Balancer plugin is always receptive to `$load_queues`, `$stop` and `$reset` events. Details on events and their execution are discussed in **Operation** section.
## Supported RabbitMQ Versions
This plugin is compatible with RabbitMQ 3.6.x and 3.7.x.
**NOTE:** RabbitMQ 3.8.x, use the new `rabbitmq-queues rebalance` command:
https://www.rabbitmq.com/rabbitmq-queues.8.html#rebalance
## Installation
### Packaging
Download pre-compiled versions from [https://github.com/Ayanda-D/rabbitmq-queue-master-balancer/releases](https://github.com/Ayanda-D/rabbitmq-queue-master-balancer/releases)
### Build
Clone and switch to branch `v3.6.x` or `v3.7.x` to build the plugin for RabbitMQ versions `3.6.x` or `3.7.x` respectively, then execute `make`. To create a package, execute `make dist` and find the `.ez` package file in the `plugins` directory.
Ensure the RabbitMQ version you are building/packaging for is compatible to the Erlang, as well as Elixir versions installed. For more detail on this, please refer to https://www.rabbitmq.com/which-erlang.html
### Testing
Likewise, clone and switch to branch `v3.6.x` or `v3.7.x` to build the plugin for RabbitMQ versions `3.6.x` or `3.7.x` respectively, then execute `make tests` to test the plugin. View test results from the generated HTML files.
**NOTE:** Tests can take as long as 15 minutes to execute.
## Configuration
The Queue Master Balancer is configured in the `rabbitmq.config` file for versions `3.6.x,` or in the `advanced.config` file, for versions `3.7.x` or later. The following is an example of how it is configured:
```
[{rabbitmq_queue_master_balancer,
[{queue_equilibrium, 70},
{operational_priority, 5},
{preload_queues, false},
{sync_delay_timeout, 10000},
{sync_verification_factor, 300},
{policy_transition_delay, 100}]
}].
```
The following table summarizes the meaning of these configuration parameters.
| PARAMETER NAME | ABBREV | DESCRIPTION | TYPE | DEFAULT |
|---|---|---|---|---|
| queue\_equilibrium | QEQ | The desired queue equilibrium percentage level. Once this queue equilibrium threshold is satisfied across all cluster nodes, balancing will be marked as complete and stop. If set to `ignore` or `undefined`, balancing procedures will run through all queues and ensure they're balanced across the cluster. The minimum allowed queue equilibrium threshold is `50%` and the maximum allowed is `100%`. If set to `100%`, the balancing will operate as in `ignore` or `undefined` configuration mode | Integer | 70 |
| operational\_priority | OP | Priority level the plugin will use to balance queues across the cluster. This should be higher than the highest configured policy priority | Integer | 5 |
| preload\_queues | PQ | Determines whether queues are automatically loaded on plugin start-up before the balancing operation is started | Boolean | false |
| sync\_verification\_factor | SVF | Time period factor (in milliseconds), relative to the message count per queue currently being balanced, which the plugin will apply and use to ensure message synchronization when a queue has undergone balance transitions. The delay factor is applied for 100 messages (plus the next), hence if for example, if a queue has a message count of 5110, then the effective delay to ensure synchronization will be 15600 milliseconds | Integer | 300 |
| sync\_delay_timeout | SDT | Time period (in milliseconds) the plugin should wait for slave queues to synchronize to the master queue before balancing procedure is marked complete | Integer | 3000 |
| policy\_transition_delay | PTD | Time period (in milliseconds), relative to the message count per queue currently being balanced, the plugin should wait while changing/transitioning from one policy to another. The plugin undergoes `4` transitions when balancing a queue and similar to `SVF`, the configured `PTD` is proportionally applied for every 100 messages (plus the next) in the current queue undergoing balance transitions | Integer | 50 |
## Operation
For RabbitMQ versions 3.6.x, the plugin is operated and executed using the traditional and classic `rabbitmq-plugins` and `rabbitmqctl eval` command line interfaces. Supported operations are as follows:
### 1. Enable plugin
The plugin is enabled like any other standard [RabbitMQ plugin](https://www.rabbitmq.com/plugins.html).
`rabbitmq-plugins enable rabbitmq_queue_master_balancer`
### 2. Get plugin information
The plugin may be queried for its current state information at any point of its operation. This is carried out by executing the `info` call:
`rabbitmqctl eval 'rabbit_queue_master_balancer:info().'`
### 3. Get plugin status
The plugin may be queried for it's status information at any point during its execution run. Unlike the `info` query, the `status` query is independent of the FSM engine's operational procedures, and gives a short summary of the engine's Process Identifier, Queues Pending Balance and Memory Utilization. The `status` call is executed as follows:
`rabbitmqctl eval 'rabbit_queue_master_balancer:status().'`
### 4. Load queues
Once enabled, the plugin must be loaded with queues which it's going to balance across the cluster. If the `preload_queues` configuration parameter is set to `true` in the `rabbitmq.config` file, this procedure may not be necessary. However, queues may still be loaded as follows regardless of the plugin's configuration:
`rabbitmqctl eval 'rabbit_queue_master_balancer:load_queues().'`
### 5. Balance loaded queues
Once queues have been loaded, the balancing procedures may then be executed by issuing the `go` command as follows:
`rabbitmqctl eval 'rabbit_queue_master_balancer:go().'`
### 6. Pause balancing
While queues are undergoing balancing, the plugin may be `paused`, at which point it switches into its PAUSE state, retaining the queues pending balance up until that point in time. The following command is executed to trigger the plugin's PAUSE state:
`rabbitmqctl eval 'rabbit_queue_master_balancer:pause().'`
### 7. Continue balancing
To proceed back into BALANCING QUEUES from the PAUSE state, the `continue` command is executed as follows:
`rabbitmqctl eval 'rabbit_queue_master_balancer:continue().'`
### 8. Reset plugin
The plugin may be reset at any point in time, setting it back to its IDLE state and in the following manner.
`rabbitmqctl eval 'rabbit_queue_master_balancer:reset().`
### 9. Stop plugin
In context of the plugin, stopping is similar to `reset`, in that it is set back to IDLE. The different being the state variables are maintained, and the plugin may still be queried for its last information:
`rabbitmqctl eval 'rabbit_queue_master_balancer:stop().'`
### 10. Report
To acquire a report illustrating the distribution of queues across the cluster (at any moment in time), the following command may be used:
`rabbitmqctl eval 'rabbit_queue_master_balancer:report().'`
### 11. Disable plugin
The plugin is disabled as follows:
`rabbitmq-plugins disable rabbitmq_queue_master_balancer`
## Additional information
The following aspects must be put into consideration when putting it to use:
- Queue balancing is a delicate operation which **must** be carried out in a very controlled manner and environment not prone to network partitions. Ensure your network is in a stable condition prior to executing queue balancing procedures.
- Configuration parameters such as `PTD` need to be bumped up as aspects such as cluster size, queue slave count and message size increase.
- The distribution of Queues within a cluster is non-deterministic and a single execution round of the Queue Master Balancer may not be enough to attain immediate equilibria. The plugin may (or may not) need multiple execution rounds before satisfactory queue equilibrium is attained.
## Example Usage
This [link illustrates](https://gist.github.com/Ayanda-D/ddd5fcb5d87c8761fbf2c663fdd07ce6) the plugin in full use. An **unbalanced 3-node** cluster exists, consisting of 21 queues, in which all queue masters reside on a single node: `'rabbit@Ayandas-MacBook-Pro'`. The Queue Master Balancer is then executed, and queried for its status information during the process until balancing procedures have completed. To illustrate its results, we generate queue distribution report of the cluster prior balancing the queues, and another after the balancing procedures have completed. The results summary are as follows:
- Report **before** Queue Master Balancer is executed:
```
Ayandas-MacBook-Pro:sbin ayandadube$ ./rabbitmqctl eval 'rabbit_queue_master_balancer:report().'
{ok,[{'rabbit_2@Ayandas-MacBook-Pro',{queues,0}},
{'rabbit@Ayandas-MacBook-Pro',{queues,21}},
{'rabbit_1@Ayandas-MacBook-Pro',{queues,0}}]}
```
- Report **after** Queue Master Balancer is executed:
```
Ayandas-MacBook-Pro:sbin ayandadube$ ./rabbitmqctl eval 'rabbit_queue_master_balancer:report().'
{ok,[{'rabbit_2@Ayandas-MacBook-Pro',{queues,7}},
{'rabbit@Ayandas-MacBook-Pro',{queues,6}},
{'rabbit_1@Ayandas-MacBook-Pro',{queues,8}}]}
```
The resulting distribution of queues across the cluster is near even, a state in which we have attained an acceptable level of queue equilibrium. Computing Queue Equilibrium for the node with the least number of queues, `'rabbit@Ayandas-MacBook-Pro'`, with 6 queues, yields the following percentage:
which satisfies condition/equation [i], being **>= 70%**.
## License and Copyright
(c) Erlang Solutions Ltd. 2017-2022
https://www.erlang-solutions.com/