View Source Simple state management with agents
In this chapter, we will learn how to keep and share state between multiple entities. If you have previous programming experience, you may think of globally shared variables, but the model we will learn here is quite different. The next chapters will generalize the concepts introduced here.
If you have skipped the Getting Started guide or read it long ago, be sure to re-read the Processes chapter. We will use it as a starting point.
The trouble with (mutable) state
Elixir is an immutable language where nothing is shared by default. If we want to share information, which can be read and modified from multiple places, we have two main options in Elixir:
- Using processes and message passing
- ETS (Erlang Term Storage)
We covered processes in the Getting Started guide. ETS (Erlang Term Storage) is a new topic that we will explore in later chapters. When it comes to processes though, we rarely hand-roll our own, instead we use the abstractions available in Elixir and OTP:
Agent
— Simple wrappers around state.GenServer
— "Generic servers" (processes) that encapsulate state, provide sync and async calls, support code reloading, and more.Task
— Asynchronous units of computation that allow spawning a process and potentially retrieving its result at a later time.
We will explore these abstractions as we move forward. Keep in mind that they are all implemented on top of processes using the basic features provided by the VM, like send/2
, receive/1
, spawn/1
and Process.link/1
.
Here, we will use agents, and create a module named KV.Bucket
, responsible for storing our key-value entries in a way that allows them to be read and modified by other processes.
Agents 101
Agent
s are simple wrappers around state. If all you want from a process is to keep state, agents are a great fit. Let's start a iex
session inside the project with:
$ iex -S mix
And play a bit with agents:
iex> {:ok, agent} = Agent.start_link(fn -> [] end)
{:ok, #PID<0.57.0>}
iex> Agent.update(agent, fn list -> ["eggs" | list] end)
:ok
iex> Agent.get(agent, fn list -> list end)
["eggs"]
iex> Agent.stop(agent)
:ok
We started an agent with an initial state of an empty list. We updated the agent's state, adding our new item to the head of the list. The second argument of Agent.update/3
is a function that takes the agent's current state as input and returns its desired new state. Finally, we retrieved the whole list. The second argument of Agent.get/3
is a function that takes the state as input and returns the value that Agent.get/3
itself will return. Once we are done with the agent, we can call Agent.stop/3
to terminate the agent process.
The Agent.update/3
function accepts as a second argument any function that receives one argument and returns a value:
iex> {:ok, agent} = Agent.start_link(fn -> [] end)
{:ok, #PID<0.338.0>}
iex> Agent.update(agent, fn _list -> 123 end)
:ok
iex> Agent.update(agent, fn content -> %{a: content} end)
:ok
iex> Agent.update(agent, fn content -> [12 | [content]] end)
:ok
iex> Agent.update(agent, fn list -> [:nop | list] end)
:ok
iex> Agent.get(agent, fn content -> content end)
[:nop, 12, %{a: 123}]
As you can see, we can modify the agent state in any way we want. Therefore, we most likely don't want to access the Agent API throughout many different places in our code. Instead, we want to encapsulate all Agent-related functionality in a single module, which we will call KV.Bucket
. Before we implement it, let's write some tests which will outline the API exposed by our module.
Create a file at test/kv/bucket_test.exs
(remember the .exs
extension) with the following:
defmodule KV.BucketTest do
use ExUnit.Case, async: true
test "stores values by key" do
{:ok, bucket} = KV.Bucket.start_link([])
assert KV.Bucket.get(bucket, "milk") == nil
KV.Bucket.put(bucket, "milk", 3)
assert KV.Bucket.get(bucket, "milk") == 3
end
end
use ExUnit.Case
is responsible for setting up our module for testing and imports many test-related functionality, such as the test/2
macro.
Our first test starts a new KV.Bucket
by calling the start_link/1
and passing an empty list of options. Then we perform some get/2
and put/3
operations on it, asserting the result.
Also note the async: true
option passed to ExUnit.Case
. This option makes the test case run in parallel with other :async
test cases by using multiple cores in our machine. This is extremely useful to speed up our test suite. However, :async
must only be set if the test case does not rely on or change any global values. For example, if the test requires writing to the file system or access a database, keep it synchronous (omit the :async
option) to avoid race conditions between tests.
Async or not, our new test should obviously fail, as none of the functionality is implemented in the module being tested:
** (UndefinedFunctionError) function KV.Bucket.start_link/1 is undefined (module KV.Bucket is not available)
In order to fix the failing test, let's create a file at lib/kv/bucket.ex
with the contents below. Feel free to give a try at implementing the KV.Bucket
module yourself using agents before peeking at the implementation below.
defmodule KV.Bucket do
use Agent
@doc """
Starts a new bucket.
"""
def start_link(_opts) do
Agent.start_link(fn -> %{} end)
end
@doc """
Gets a value from the `bucket` by `key`.
"""
def get(bucket, key) do
Agent.get(bucket, &Map.get(&1, key))
end
@doc """
Puts the `value` for the given `key` in the `bucket`.
"""
def put(bucket, key, value) do
Agent.update(bucket, &Map.put(&1, key, value))
end
end
The first step in our implementation is to call use Agent
. Most of the functionality we will learn, such as GenServer
and Supervisor
, follow this pattern. For all of them, calling use
generates a child_spec/1
function with default configuration, which will be handy when we start supervising processes in chapter 4.
Then we define a start_link/1
function, which will effectively start the agent. It is a convention to define a start_link/1
function that always accepts a list of options. We don't plan on using any options right now, but we might later on. We then proceed to call Agent.start_link/1
, which receives an anonymous function that returns the Agent's initial state.
We are keeping a map inside the agent to store our keys and values. Getting and putting values on the map is done with the Agent API and the capture operator &
, introduced in the Getting Started guide. The agent passes its state to the anonymous function via the &1
argument when Agent.get/2
and Agent.update/2
are called.
Now that the KV.Bucket
module has been defined, our test should pass! You can try it yourself by running: mix test
.
Test setup with ExUnit callbacks
Before moving on and adding more features to KV.Bucket
, let's talk about ExUnit callbacks. As you may expect, all KV.Bucket
tests will require a bucket agent to be up and running. Luckily, ExUnit supports callbacks that allow us to skip such repetitive tasks.
Let's rewrite the test case to use callbacks:
defmodule KV.BucketTest do
use ExUnit.Case, async: true
setup do
{:ok, bucket} = KV.Bucket.start_link([])
%{bucket: bucket}
end
test "stores values by key", %{bucket: bucket} do
assert KV.Bucket.get(bucket, "milk") == nil
KV.Bucket.put(bucket, "milk", 3)
assert KV.Bucket.get(bucket, "milk") == 3
end
end
We have first defined a setup callback with the help of the setup/1
macro. The setup/1
macro defines a callback that is run before every test, in the same process as the test itself.
Note that we need a mechanism to pass the bucket
PID from the callback to the test. We do so by using the test context. When we return %{bucket: bucket}
from the callback, ExUnit will merge this map into the test context. Since the test context is a map itself, we can pattern match the bucket out of it, providing access to the bucket inside the test:
test "stores values by key", %{bucket: bucket} do
# `bucket` is now the bucket from the setup block
end
You can read more about ExUnit cases in the ExUnit.Case
module documentation and more about callbacks in ExUnit.Callbacks
.
Other agent actions
Besides getting a value and updating the agent state, agents allow us to get a value and update the agent state in one function call via Agent.get_and_update/2
. Let's implement a KV.Bucket.delete/2
function that deletes a key from the bucket, returning its current value:
@doc """
Deletes `key` from `bucket`.
Returns the current value of `key`, if `key` exists.
"""
def delete(bucket, key) do
Agent.get_and_update(bucket, &Map.pop(&1, key))
end
Now it is your turn to write a test for the functionality above! Also, be sure to explore the documentation for the Agent
module to learn more about them.
Client/server in agents
Before we move on to the next chapter, let's discuss the client/server dichotomy in agents. Let's expand the delete/2
function we have just implemented:
def delete(bucket, key) do
Agent.get_and_update(bucket, fn dict ->
Map.pop(dict, key)
end)
end
Everything that is inside the function we passed to the agent happens in the agent process. In this case, since the agent process is the one receiving and responding to our messages, we say the agent process is the server. Everything outside the function is happening in the client.
This distinction is important. If there are expensive actions to be done, you must consider if it will be better to perform these actions on the client or on the server. For example:
def delete(bucket, key) do
Process.sleep(1000) # puts client to sleep
Agent.get_and_update(bucket, fn dict ->
Process.sleep(1000) # puts server to sleep
Map.pop(dict, key)
end)
end
When a long action is performed on the server, all other requests to that particular server will wait until the action is done, which may cause some clients to timeout.
In the next chapter, we will explore GenServers, where the segregation between clients and servers is made more apparent.