View Source Getting Started
This guide is an introduction to Nebulex, a local and distributed caching toolkit for Elixir. Nebulex API is pretty much inspired by Ecto, taking advantage of its simplicity, flexibility and pluggable architecture. In the same way as Ecto, developers can provide their own cache (adapter) implementations.
In this guide, we're going to learn some basics about Nebulex, such as insert, retrieve and destroy cache entries.
Adding Nebulex to an application
Let's start creating a new Elixir application by running this command:
mix new blog --sup
The --sup
option ensures that this application has
a supervision tree,
which will be needed by Nebulex later on.
To add Nebulex to this application, there are a few steps that we need to take.
The first step will be adding Nebulex to our mix.exs
file, which we'll do by
changing the deps
definition in that file to this:
defp deps do
[
{:nebulex, "~> 2.6"},
{:shards, "~> 1.0"}, #=> When using :shards as backend
{:decorator, "~> 1.4"}, #=> When using Caching Annotations
{:telemetry, "~> 1.0"} #=> When using the Telemetry events (Nebulex stats)
]
end
In order to give more flexibility and loading only needed dependencies, Nebulex makes all its dependencies as optional. For example:
For intensive workloads, you may want to use
:shards
as the backend for the local adapter and having partitioned tables. In such a case, you have to add:shards
to the dependency list.For enabling the usage of declarative annotation-based caching via decorators, you have to add
:decorator
to the dependency list.For enabling Telemetry events to be dispatched when using Nebulex, you have to add
:telemetry
to the dependency list. See telemetry guide.If you want to use an external adapter (e.g: Cachex or Redis adapter), you have to add the adapter dependency too.
To install these dependencies, we will run this command:
mix deps.get
We now need to define a Cache and setup some configuration for Nebulex so that we can perform actions on a cache from within the application's code.
We can set up this configuration by running this command:
mix nbx.gen.cache -c Blog.Cache
This command will generate the configuration required to use the cache. The
first bit of configuration is in config/config.exs
:
config :blog, Blog.Cache,
# When using :shards as backend
# backend: :shards,
# GC interval for pushing new generation: 12 hrs
gc_interval: :timer.hours(12),
# Max 1 million entries in cache
max_size: 1_000_000,
# Max 2 GB of memory
allocated_memory: 2_000_000_000,
# GC min timeout: 10 sec
gc_cleanup_min_timeout: :timer.seconds(10),
# GC max timeout: 10 min
gc_cleanup_max_timeout: :timer.minutes(10)
Assuming we will use :shards
as backend, can add uncomment the first line in
the config
config :blog, Blog.Cache,
# When using :shards as backend
backend: :shards,
# GC interval for pushing new generation: 12 hrs
gc_interval: :timer.hours(12),
# Max 1 million entries in cache
max_size: 1_000_000,
# Max 2 GB of memory
allocated_memory: 2_000_000_000,
# GC min timeout: 10 sec
gc_cleanup_min_timeout: :timer.seconds(10),
# GC max timeout: 10 min
gc_cleanup_max_timeout: :timer.minutes(10)
By default,
partitions:
option is set toSystem.schedulers_online()
.
NOTE: For more information about the provided options, see the adapter's documentation.
And the Blog.Cache
module is defined in lib/blog/cache.ex
by our
mix nbx.gen.cache
command:
defmodule Blog.Cache do
use Nebulex.Cache,
otp_app: :blog,
adapter: Nebulex.Adapters.Local
end
This module is what we'll be using to interact with the cache. It uses the
Nebulex.Cache
module and it expects the :otp_app
as option. The otp_app
tells Nebulex which Elixir application it can look for cache configuration in.
In this case, we've specified that it is the :blog
application where Nebulex
can find that configuration and so Nebulex will use the configuration that was
set up in config/config.exs
.
The final piece of configuration is to setup the Blog.Cache
as a
supervisor within the application's supervision tree, which we can do in
lib/blog/application.ex
, inside the start/2
function:
def start(_type, _args) do
children = [
Blog.Cache
]
...
This piece of configuration will start the Nebulex process which receives and executes our application's commands. Without it, we wouldn't be able to use the cache at all!
We've now configured our application so that it's able to execute commands against our cache.
IMPORTANT: Make sure the cache is put in first place within the children
list, or at least before the process or processes using it. Otherwise, there
could be race conditions causing Nebulex.RegistryLookupError
errors;
processes attempting to use the cache and this one hasn't been even
started.
Inserting entries
We can insert a new entries into our blog cache with this code:
iex> user = %{id: 1, first_name: "Galileo", last_name: "Galilei"}
iex> Blog.Cache.put(user[:id], user, ttl: :timer.hours(1))
:ok
To insert the data into our cache, we call put
on Blog.Cache
. This function
tells Nebulex that we want to insert a new key/value entry into the cache
corresponding Blog.Cache
.
It is also possible to insert multiple entries at once:
iex> users = %{
...> 1 => %{id: 1, first_name: "Galileo", last_name: "Galilei"},
...> 2 => %{id: 2, first_name: "Charles", last_name: "Darwin"},
...> 3 => %{id: 3, first_name: "Albert", last_name: "Einstein"}
...> }
iex> Blog.Cache.put_all(users)
:ok
The given entries can be a
map
or a Key/Value tuple list.
Inserting new entries and replacing existing ones
As we saw previously, put
creates a new entry in cache if it doesn't exist,
or overrides it if it does exist (including the :ttl
). However, there might
be circumstances where we want to set the entry only if it doesn't exit or the
other way around, this is where put_new
and replace
functions come in.
Let's try put_new
and put_new!
functions:
iex> new_user = %{id: 4, first_name: "John", last_name: "Doe"}
iex> Blog.Cache.put_new(new_user.id, new_user, ttl: 900)
true
iex> Blog.Cache.put_new(new_user.id, new_user)
false
# same as previous one but raises `Nebulex.KeyAlreadyExistsError`
iex> Blog.Cache.put_new!(new_user.id, new_user)
Now replace
and replace!
functions:
iex> existing_user = %{id: 5, first_name: "John", last_name: "Doe2"}
iex> Blog.Cache.replace(existing_user.id, existing_user)
false
iex> Blog.Cache.put_new(existing_user.id, existing_user)
true
iex> Blog.Cache.replace(existing_user.id, existing_user, ttl: 900)
true
# same as previous one but raises `KeyError`
iex> Blog.Cache.replace!(100, existing_user)
It is also possible to insert multiple new entries at once:
iex> new_users = %{
...> 6 => %{id: 6, first_name: "Isaac", last_name: "Newton"},
...> 7 => %{id: 7, first_name: "Marie", last_name: "Curie"}
...> }
iex> Blog.Cache.put_new_all(new_users)
true
# none of the entries is inserted if at least one key already exists
iex> Blog.Cache.put_new_all(new_users)
false
Retrieving entries
Let’s start off with fetching data by the key, which is the most basic and common operation to retrieve data from a cache.
iex> Blog.Cache.get(1)
_user_1
iex> for key <- 1..3 do
...> user = Blog.Cache.get(key)
...> user.first_name
...> end
["Galileo", "Charles", "Albert"]
There is a function has_key?
to check if a key exist in cache:
iex> Blog.Cache.has_key?(1)
true
iex> Blog.Cache.has_key?(10)
false
Retrieving multiple entries
iex> Blog.Cache.get_all([1, 2, 3])
_users
Updating entries
Nebulex provides update
and get_and_update
functions to update an
entry value based on current one, for example:
iex> initial = %{id: 1, first_name: "", last_name: ""}
# using `get_and_update`
iex> Blog.Cache.get_and_update(1, fn v ->
...> if v, do: {v, %{v | first_name: "X"}}, else: {v, initial}
...> iex> end)
{_old, _updated}
# using `update`
iex> Blog.Cache.update(1, initial, &(%{&1 | first_name: "Y"}))
_updated
Counters
The function incr
is provided to increment or decrement a counter; by default,
a counter is initialized to 0
. Let's see how counters works:
# by default, the counter is incremented by 1
iex> Blog.Cache.incr(:my_counter)
1
# but we can also provide a custom increment value
iex> Blog.Cache.incr(:my_counter, 5)
6
# to decrement the counter, just pass a negative value
iex> Blog.Cache.incr(:my_counter, -5)
1
Deleting entries
We’ve now covered inserting, reading and updating entries. Now let's see how to delete an entry using Nebulex.
iex> Blog.Cache.delete(1)
:ok
Take
This is another way not only for deleting an entry but also for retrieving it before its delete it:
iex> Blog.Cache.take(1)
_entry
# returns `nil` if `key` doesn't exist
iex> Blog.Cache.take("nonexistent")
nil
# same as previous one but raises `KeyError`
iex> Blog.Cache.take!("nonexistent")
Info
The last thing we’ll cover in this guide is how to retrieve information about cached objects or the cache itself.
Remaining TTL
iex> Blog.Cache.ttl(1)
_remaining_ttl
iex> Blog.Cache.ttl("nonexistent")
nil
Query and/or Stream entries
Nebulex provides functions to fetch, count, delete, or stream all entries from cache matching the given query.
Fetch all entries from cache matching the given query
# by default, returns all keys
iex> Blog.Cache.all()
_all_entries
# fetch all entries and return the keys
iex> Blog.Cache.all(nil, return: :key)
_keys
# built-in queries in `Nebulex.Adapters.Local` adapter
iex> Blog.Cache.all(nil)
iex> Blog.Cache.all(:unexpired)
iex> Blog.Cache.all(:expired)
# if we are using `Nebulex.Adapters.Local` adapter, the stored entry
# is a tuple `{:entry, key, value, touched, ttl}`, then the match spec
# could be something like:
iex> spec = [{{:_, :"$1", :"$2", :_, :_}, [{:>, :"$2", 10}], [{{:"$1", :"$2"}}]}]
iex> Blog.Cache.all(spec)
_all_matched
# using Ex2ms
iex> import Ex2ms
iex> spec =
...> fun do
...> {_, key, value, _, _} when value > 10 -> {key, value}
...> end
iex> Blog.Cache.all(spec)
_all_matched
Count all entries from cache matching the given query
For example, to get the total number of cached objects (cache size):
iex> Blog.Cache.count_all()
_num_cached_entries
By default, since none query is given to
count_all/2
, all entries in cache match.
In the same way as all/2
, you can pass a query to count only the matched
entries:
# using Ex2ms
iex> import Ex2ms
iex> spec =
...> fun do
...> {_, value, _, _} when rem(value, 2) == 0 -> true
...> end
iex> Blog.Cache.count_all(spec)
_num_of_matched_entries
The previous example assumes you are using the built-in local adapter.
Also, if you are using the built-in local adapter, you can use the queries
:expired
and :unexpired
too, like so:
iex> expired_entries = Blog.Cache.count_all(:expired)
iex> unexpired_entries = Blog.Cache.count_all(:unexpired)
Delete all entries from cache matching the given query
Similar to count_all/2
, Nebulex provides delete_all/2
to not only count
the matched entries but also remove them from the cache at once, in one single
execution.
The first example is flushing the cache, delete all cached entries (which is the default behavior when none query is provided):
iex> Blog.Cache.delete_all()
_num_of_removed_entries
And just like count_all/2
, you can also provide a custom query to delete only
the matched entries, or if you are using the built-in local adapter you can also
use the queries :expired
and :unexpired
. For example:
iex> expired_entries = Blog.Cache.delete_all(:expired)
iex> unexpired_entries = Blog.Cache.delete_all(:unexpired)
# using Ex2ms
iex> import Ex2ms
iex> spec =
...> fun do
...> {_, value, _, _} when rem(value, 2) == 0 -> true
...> end
iex> Blog.Cache.delete_all(spec)
_num_of_matched_entries
These examples assumes you are using the built-in local adapter.
Stream all entries from cache matching the given query
Similar to all/2
but returns a lazy enumerable that emits all entries from the
cache matching the provided query.
If the query is nil
, then all entries in cache match and are returned when the
stream is evaluated; based on the :return
option.
iex> Blog.Cache.stream()
iex> Blog.Cache.stream(nil, page_size: 100, return: :value)
iex> Blog.Cache.stream(nil, page_size: 100, return: :entry)
# using `Nebulex.Adapters.Local` adapter
iex> spec = [{{:"$1", :"$2", :_, :_}, [{:>, :"$2", 10}], [{{:"$1", :"$2"}}]}]
iex> Blog.Cache.stream(spec)
_all_matched
# using Ex2ms
iex> import Ex2ms
iex> spec =
...> fun do
...> {key, value, _, _} when value > 10 -> {key, value}
...> end
iex> Blog.Cache.stream(spec)
_all_matched
Partitioned Cache
Nebulex provides the adapter Nebulex.Adapters.Partitioned
, which allows to
set up a partitioned cache topology.
Let's set up the partitioned cache by using the mix
task mix nbx.gen.cache
:
mix nbx.gen.cache -c Blog.PartitionedCache -a Nebulex.Adapters.Partitioned
As we saw previously, this command will generate the cache in
lib/bolg/partitioned_cache.ex
(in this case using the partitioned adapter)
module along with the initial configuration in config/config.exs
.
The cache:
defmodule Blog.PartitionedCache do
use Nebulex.Cache,
otp_app: :blog,
adapter: Nebulex.Adapters.Partitioned,
primary_storage_adapter: Nebulex.Adapters.Local
end
And the config:
config :blog, Blog.PartitionedCache,
primary: [
# When using :shards as backend
backend: :shards,
# GC interval for pushing new generation: 12 hrs
gc_interval: :timer.hours(12),
# Max 1 million entries in cache
max_size: 1_000_000,
# Max 2 GB of memory
allocated_memory: 2_000_000_000,
# GC min timeout: 10 sec
gc_cleanup_min_timeout: :timer.seconds(10),
# GC max timeout: 10 min
gc_cleanup_max_timeout: :timer.minutes(10)
]
And remember to add the new cache Blog.PartitionedCache
to your application's
supervision tree (such as we did it previously):
def start(_type, _args) do
children = [
Blog.Cache,
Blog.PartitionedCache
]
...
Now we are ready to start using our partitioned cache!
Timeout option
The Nebulex.Adapters.Partitioned
supports :timeout
option, it is a value in
milliseconds for the command that will be executed.
iex> Blog.PartitionedCache.get("foo", timeout: 10)
_value
# if the timeout is exceeded, then the current process will exit
iex> Blog.PartitionedCache.put("foo", "bar", timeout: 10)
# ** (EXIT) time out
To learn more about how partitioned cache works, please check
Nebulex.Adapters.Partitioned
documentation, and also it is recommended see the
partitioned cache example
Multilevel Cache
Nebulex also provides the adapter Nebulex.Adapters.Multilevel
, which allows to
setup a multi-level caching hierarchy.
First, let's set up the multi-level cache by using the mix
task
mix nbx.gen.cache
:
mix nbx.gen.cache -c Blog.NearCache -a Nebulex.Adapters.Multilevel
By default, the command generates a 2-level near-cache topology. The first
level or L1
using the built-in local adapter, and the second one or L2
using the built-in partitioned adapter.
The generated cache module lib/blog/near_cache.ex
:
defmodule Blog.NearCache do
use Nebulex.Cache,
otp_app: :blog,
adapter: Nebulex.Adapters.Multilevel
## Cache Levels
# Default auto-generated L1 cache (local)
defmodule L1 do
use Nebulex.Cache,
otp_app: :blog,
adapter: Nebulex.Adapters.Local
end
# Default auto-generated L2 cache (partitioned cache)
defmodule L2 do
use Nebulex.Cache,
otp_app: :blog,
adapter: Nebulex.Adapters.Partitioned
end
## TODO: Add, remove or modify the auto-generated cache levels above
end
And the configuration (config/config.exs
):
config :blog, Blog.NearCache,
model: :inclusive,
levels: [
# Default auto-generated L1 cache (local)
{
Blog.NearCache.L1,
# GC interval for pushing new generation: 12 hrs
gc_interval: :timer.hours(12),
# Max 1 million entries in cache
max_size: 1_000_000
},
# Default auto-generated L2 cache (partitioned cache)
{
Blog.NearCache.L2,
primary: [
# GC interval for pushing new generation: 12 hrs
gc_interval: :timer.hours(12),
# Max 1 million entries in cache
max_size: 1_000_000
]
}
]
Remember you can add
backend: :shards
to use Shards as backend.
Finally, add the new cache Blog.NearCache
to your application's supervision
tree (such as we did it previously):
def start(_type, _args) do
children = [
Blog.Cache,
Blog.PartitionedCache,
Blog.NearCache
]
...
Let's try it out!
iex> Blog.NearCache.put("foo", "bar", ttl: :timer.hours(1))
"bar"
iex> Blog.NearCache.get("foo")
"bar"
To learn more about how multilevel-cache works, please check
Nebulex.Adapters.Multilevel
documentation, and also it is recommended see the
near cache example
Next
- Cache Usage Patterns via Nebulex.Caching - Annotations-based DSL to implement different cache usage patterns.