Crates.io | cw-storage |
lib.rs | cw-storage |
version | 0.2.2 |
source | src |
created_at | 2020-01-08 16:51:37.525332 |
updated_at | 2020-07-13 06:40:37.657248 |
description | CosmWasm library with useful helpers for Storage patterns |
homepage | |
repository | https://github.com/CosmWasm/cw-storage |
max_upload_size | |
id | 196619 |
size | 62,730 |
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This repository and the cw-storage crate are unmaintained. All features were moved to the
cosmwasm-storage package in https://github.com/CosmWasm/cosmwasm.
CosmWasm library with useful helpers for Storage patterns. This is not in the core library, so feel free to fork it and modify or extend as desired for your contracts. Pull Requests back to upstream repo with new or improved features are always welcome.
Requires Rust v1.38+ (for std::any::type_name
used to generate serialization error messages)
Compatible with CosmWasm v0.7.x
One common technique in smart contracts, especially when multiple types of data
are being stored, is to create separate sub-stores with unique prefixes. Thus instead
of directly dealing with storage, we wrap it and put all Foo
in a Storage with
key "foo" + id
, and all Bar
in a Storage with key "bar" + id
. This lets us add multiple
types of objects without too much cognitive overhead. Similar separation like Mongo collections
or SQL tables.
Since we have different types for Storage
and ReadonlyStorage
, we use two different constructors:
use cw_storage::{prefixed, prefixed_read};
let mut store = MockStorage::new();
let mut foos = prefixed(b"foo", &mut store);
foos.set(b"one", b"foo");
let mut bars = prefixed(b"bar", &mut store);
bars.set(b"one", b"bar");
let read_foo = prefixed_read(b"foo", &store);
assert_eq!(b"foo".to_vec(), read_foo.get(b"one").unwrap());
let read_bar = prefixed_read(b"bar", &store);
assert_eq!(b"bar".to_vec(), read_bar.get(b"one").unwrap());
Please note that only one mutable reference to the underlying store may be valid at one point.
The compiler sees we do not ever use foos
after constructing bars
, so this example is valid.
However, if we did use foos
again at the bottom, it would properly complain about violating
unique mutable reference.
The takeaway is to create the PrefixedStorage
objects when needed and not to hang around to them too long.
As we divide our storage space into different subspaces or "buckets", we will quickly notice that each
"bucket" works on a unique type. This leads to a lot of repeated serialization and deserialization
boilerplate that can be removed. We do this by wrapping a Storage
with a type-aware TypedStorage
struct that provides us a higher-level access to the data.
Note that TypedStorage
itself does not implement the Storage
interface, so when combining
with PrefixStorage
, make sure to wrap the prefix first.
use cosmwasm::mock::MockStorage;
use cw_storage::{prefixed, typed};
let mut store = MockStorage::new();
let mut space = prefixed(b"data", &mut store);
let mut bucket = typed::<_, Data>(&mut space);
// save data
let data = Data {
name: "Maria".to_string(),
age: 42,
};
bucket.save(b"maria", &data).unwrap();
// load it properly
let loaded = bucket.load(b"maria").unwrap();
assert_eq!(data, loaded);
// loading empty can return Ok(None) or Err depending on the chosen method:
assert!(bucket.load(b"john").is_err());
assert_eq!(bucket.may_load(b"john"), Ok(None));
Beyond the basic save
, load
, and may_load
, there is a higher-level API exposed, update
.
Update
will load the data, apply an operation and save it again (if the operation was successful).
It will also return any error that occurred, or the final state that was written if successful.
let birthday = |mut m: Option<Data>| match m {
Some(mut d) => {
d.age += 1;
Ok(d)
},
None => NotFound{ kind: 'Data'}.fail(),
};
let output = bucket.update(b"maria", &birthday).unwrap();
let expected = Data {
name: "Maria".to_string(),
age: 43,
};
assert_eq!(output, expected);
Since the above idiom (a subspace for a class of items) is so common and useful,
and there is no easy way to return this from a function
(bucket holds a reference to space, and cannot live longer than the local variable), the two are often
combined into a Bucket
. A Bucket works just like the example above, except the creation can be
in another function:
use cosmwasm::mock::MockStorage;
use cw_storage::{bucket, Bucket};
fn people<'a, S: Storage>(storage: &'a mut S) -> Bucket<'a, S, Data> {
bucket(b"people", storage)
}
fn do_stuff() -> Result <()> {
let mut store = MockStorage::new();
people(&mut store).save(b"john", &Data{
name: "John",
age: 314,
})?;
OK(())
}
Singleton is another wrapper around the TypedStorage
API. There are cases when we don't need
a whole subspace to hold arbitrary key-value lookup for typed data, but rather one single instance.
The simplest example is some configuration information for a contract. For example, in the
name service example,
there is a Bucket
to look up name to name data, but we also have a Singleton
to store
global configuration - namely the price of buying a name.
use cosmwasm::mock::MockStorage;
use cosmwasm::types::{Coin, coin};
use cw_storage::{singleton};
#[derive(Serialize, Deserialize, Clone, Debug, PartialEq, JsonSchema)]
pub struct Config {
pub purchase_price: Option<Coin>,
pub transfer_price: Option<Coin>,
}
fn initialize() -> Result<()> {
let mut store = MockStorage::new();
let config = singleton(&mut store, b"config");
config.save(&Config{
purchase_price: Some(coin("5", "FEE")),
transfer_price: None,
})?;
config.update(|mut cfg| {
cfg.transfer_price = Some(coin(2, "FEE"));
Ok(cfg)
})?;
let loaded = config.load()?;
OK(())
}
Singleton
works just like Bucket
, except the save
, load
, update
methods don't take
a key, and update
requires the object to already exist, so the closure takes
type T
, rather than Option<T>
. (Use save
to create the object the first time).
For Buckets
, we often don't know which keys exist, but Singletons
should be
initialized when the contract is instantiated.
Since the heart of much of the smart contract code is simply transformations upon some stored state,
We may be able to just code the state transitions and let the TypedStorage
APIs take care of all
the boilerplate.