Collections
Collections is a library meant to simplify the experience with respect to module state handling.
Cosmos SDK modules handle their state using the KVStore
interface. The problem with working with
KVStore
is that it forces you to think of state as a bytes KV pairings when in reality the majority of
state comes from complex concrete golang objects (strings, ints, structs, etc.).
Collections allows you to work with state as if they were normal golang objects and removes the need for you to think of your state as raw bytes in your code.
It also allows you to migrate your existing state without causing any state breakage that forces you into tedious and complex chain state migrations.
Installation
To install collections in your cosmos-sdk chain project, run the following command:
go get cosmossdk.io/collections
Core types
Collections offers 5 different APIs to work with state, which will be explored in the next sections, these APIs are:
Map
: to work with typed arbitrary KV pairings.KeySet
: to work with just typed keysItem
: to work with just one typed valueSequence
: which is a monotonically increasing number.IndexedMap
: which combinesMap
andKeySet
to provide aMap
with indexing capabilities.
Preliminary components
Before exploring the different collections types and their capability it is necessary to introduce
the three components that every collection shares. In fact when instantiating a collection type by doing, for example,
collections.NewMap/collections.NewItem/...
you will find yourself having to pass them some common arguments.
For example, in code:
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
sdk "github.com/cosmos/cosmos-sdk/types"
)
var AllowListPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
AllowList collections.KeySet[string]
}
func NewKeeper(storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
AllowList: collections.NewKeySet(sb, AllowListPrefix, "allow_list", collections.StringKey),
}
}
Let's analyse the shared arguments, what they do, and why we need them.
SchemaBuilder
The first argument passed is the SchemaBuilder
SchemaBuilder
is a structure that keeps track of all the state of a module, it is not required by the collections
to deal with state but it offers a dynamic and reflective way for clients to explore a module's state.
We instantiate a SchemaBuilder
by passing it a function that given the modules store key returns the module's specific store.
We then need to pass the schema builder to every collection type we instantiate in our keeper, in our case the AllowList
.
Prefix
The second argument passed to our KeySet
is a collections.Prefix
, a prefix represents a partition of the module's KVStore
where all the state of a specific collection will be saved.
Since a module can have multiple collections, the following is expected:
- module params will become a
collections.Item
- the
AllowList
is acollections.KeySet
We don't want a collection to write over the state of the other collection so we pass it a prefix, which defines a storage partition owned by the collection.
If you already built modules, the prefix translates to the items you were creating in your types/keys.go
file, example: https://github.com/cosmos/cosmos-sdk/blob/main/x/feegrant/key.go#L27
your old:
var (
// FeeAllowanceKeyPrefix is the set of the kvstore for fee allowance data
// - 0x00<allowance_key_bytes>: allowance
FeeAllowanceKeyPrefix = []byte{0x00}
// FeeAllowanceQueueKeyPrefix is the set of the kvstore for fee allowance keys data
// - 0x01<allowance_prefix_queue_key_bytes>: <empty value>
FeeAllowanceQueueKeyPrefix = []byte{0x01}
)
becomes:
var (
// FeeAllowanceKeyPrefix is the set of the kvstore for fee allowance data
// - 0x00<allowance_key_bytes>: allowance
FeeAllowanceKeyPrefix = collections.NewPrefix(0)
// FeeAllowanceQueueKeyPrefix is the set of the kvstore for fee allowance keys data
// - 0x01<allowance_prefix_queue_key_bytes>: <empty value>
FeeAllowanceQueueKeyPrefix = collections.NewPrefix(1)
)
Rules
collections.NewPrefix
accepts either uint8
, string
or []bytes
it's good practice to use an always increasing uint8
for disk space efficiency.
A collection MUST NOT share the same prefix as another collection in the same module, and a collection prefix MUST NEVER start with the same prefix as another, examples:
prefix1 := collections.NewPrefix("prefix")
prefix2 := collections.NewPrefix("prefix") // THIS IS BAD!
prefix1 := collections.NewPrefix("a")
prefix2 := collections.NewPrefix("aa") // prefix2 starts with the same as prefix1: BAD!!!
Human-Readable Name
The third parameter we pass to a collection is a string, which is a human-readable name. It is needed to make the role of a collection understandable by clients who have no clue about what a module is storing in state.
Rules
Each collection in a module MUST have a unique humanised name.
Key and Value Codecs
A collection is generic over the type you can use as keys or values. This makes collections dumb, but also means that hypothetically we can store everything that can be a go type into a collection. We are not bounded to any type of encoding (be it proto, json or whatever)
So a collection needs to be given a way to understand how to convert your keys and values to bytes.
This is achieved through KeyCodec
and ValueCodec
, which are arguments that you pass to your
collections when you're instantiating them using the collections.NewMap/collections.NewItem/...
instantiation functions.
NOTE: Generally speaking you will never be required to implement your own Key/ValueCodec
as
the SDK and collections libraries already come with default, safe and fast implementation of those.
You might need to implement them only if you're migrating to collections and there are state layout incompatibilities.
Let's explore an example:
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
sdk "github.com/cosmos/cosmos-sdk/types"
)
var IDsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
IDs collections.Map[string, uint64]
}
func NewKeeper(storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
IDs: collections.NewMap(sb, IDsPrefix, "ids", collections.StringKey, collections.Uint64Value),
}
}
We're now instantiating a map where the key is string and the value is uint64
.
We already know the first three arguments of the NewMap
function.
The fourth parameter is our KeyCodec
, we know that the Map
has string
as key so we pass it a KeyCodec
that handles strings as keys.
The fifth parameter is our ValueCodec
, we know that the Map
has a uint64
as value so we pass it a ValueCodec
that handles uint64.
Collections already comes with all the required implementations for golang primitive types.
Let's make another example, this falls closer to what we build using cosmos SDK, let's say we want
to create a collections.Map
that maps account addresses to their base account. So we want to map an sdk.AccAddress
to an auth.BaseAccount
(which is a proto):
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
authtypes "github.com/cosmos/cosmos-sdk/x/auth/types"
)
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts collections.Map[sdk.AccAddress, authtypes.BaseAccount]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewMap(sb, AccountsPrefix, "accounts",
sdk.AccAddressKey, codec.CollValue[authtypes.BaseAccount](cdc)),
}
}
As we can see here since our collections.Map
maps sdk.AccAddress
to authtypes.BaseAccount
,
we use the sdk.AccAddressKey
which is the KeyCodec
implementation for AccAddress
and we use codec.CollValue
to
encode our proto type BaseAccount
.
Generally speaking you will always find the respective key and value codecs for types in the go.mod
path you're using
to import that type. If you want to encode proto values refer to the codec codec.CollValue
function, which allows you
to encode any type implement the proto.Message
interface.
Map
We analyse the first and most important collection type, the collections.Map
.
This is the type that everything else builds on top of.
Use case
A collections.Map
is used to map arbitrary keys with arbitrary values.
Example
It's easier to explain a collections.Map
capabilities through an example:
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"fmt"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
authtypes "github.com/cosmos/cosmos-sdk/x/auth/types"
)
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts collections.Map[sdk.AccAddress, authtypes.BaseAccount]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewMap(sb, AccountsPrefix, "accounts",
sdk.AccAddressKey, codec.CollValue[authtypes.BaseAccount](cdc)),
}
}
func (k Keeper) CreateAccount(ctx sdk.Context, addr sdk.AccAddress, account authtypes.BaseAccount) error {
has, err := k.Accounts.Has(ctx, addr)
if err != nil {
return err
}
if has {
return fmt.Errorf("account already exists: %s", addr)
}
err = k.Accounts.Set(ctx, addr, account)
if err != nil {
return err
}
return nil
}
func (k Keeper) GetAccount(ctx sdk.Context, addr sdk.AccAddress) (authtypes.BaseAccount, error) {
acc, err := k.Accounts.Get(ctx, addr)
if err != nil {
return authtypes.BaseAccount{}, err
}
return acc, nil
}
func (k Keeper) RemoveAccount(ctx sdk.Context, addr sdk.AccAddress) error {
err := k.Accounts.Remove(ctx, addr)
if err != nil {
return err
}
return nil
}
Set method
Set maps with the provided AccAddress
(the key) to the auth.BaseAccount
(the value).
Under the hood the collections.Map
will convert the key and value to bytes using the key and value codec.
It will prepend to our bytes key the prefix and store it in the KVStore of the module.
Has method
The has method reports if the provided key exists in the store.
Get method
The get method accepts the AccAddress
and returns the associated auth.BaseAccount
if it exists, otherwise it errors.
Remove method
The remove method accepts the AccAddress
and removes it from the store. It won't report errors
if it does not exist, to check for existence before removal use the Has
method.
Iteration
Iteration has a separate section.
KeySet
The second type of collection is collections.KeySet
, as the word suggests it maintains
only a set of keys without values.
Implementation curiosity
A collections.KeySet
is just a collections.Map
with a key
but no value.
The value internally is always the same and is represented as an empty byte slice []byte{}
.
Example
As always we explore the collection type through an example:
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"fmt"
sdk "github.com/cosmos/cosmos-sdk/types"
)
var ValidatorsSetPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
ValidatorsSet collections.KeySet[sdk.ValAddress]
}
func NewKeeper(storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
ValidatorsSet: collections.NewKeySet(sb, ValidatorsSetPrefix, "validators_set", sdk.ValAddressKey),
}
}
func (k Keeper) AddValidator(ctx sdk.Context, validator sdk.ValAddress) error {
has, err := k.ValidatorsSet.Has(ctx, validator)
if err != nil {
return err
}
if has {
return fmt.Errorf("validator already in set: %s", validator)
}
err = k.ValidatorsSet.Set(ctx, validator)
if err != nil {
return err
}
return nil
}
func (k Keeper) RemoveValidator(ctx sdk.Context, validator sdk.ValAddress) error {
err := k.ValidatorsSet.Remove(ctx, validator)
if err != nil {
return err
}
return nil
}
The first difference we notice is that KeySet
needs use to specify only one type parameter: the key (sdk.ValAddress
in this case).
The second difference we notice is that KeySet
in its NewKeySet
function does not require
us to specify a ValueCodec
but only a KeyCodec
. This is because a KeySet
only saves keys and not values.
Let's explore the methods.
Has method
Has allows us to understand if a key is present in the collections.KeySet
or not, functions in the same way as collections.Map.Has
Set method
Set inserts the provided key in the KeySet
.
Remove method
Remove removes the provided key from the KeySet
, it does not error if the key does not exist,
if existence check before removal is required it needs to be coupled with the Has
method.
Item
The third type of collection is the collections.Item
.
It stores only one single item, it's useful for example for parameters, there's only one instance
of parameters in state always.
implementation curiosity
A collections.Item
is just a collections.Map
with no key but just a value.
The key is the prefix of the collection!
Example
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
stakingtypes "cosmossdk.io/x/staking/types"
)
var ParamsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Params collections.Item[stakingtypes.Params]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Params: collections.NewItem(sb, ParamsPrefix, "params", codec.CollValue[stakingtypes.Params](cdc)),
}
}
func (k Keeper) UpdateParams(ctx sdk.Context, params stakingtypes.Params) error {
err := k.Params.Set(ctx, params)
if err != nil {
return err
}
return nil
}
func (k Keeper) GetParams(ctx sdk.Context) (stakingtypes.Params, error) {
return k.Params.Get(ctx)
}
The first key difference we notice is that we specify only one type parameter, which is the value we're storing.
The second key difference is that we don't specify the KeyCodec
, since we store only one item we already know the key
and the fact that it is constant.
Iteration
One of the key features of the KVStore
is iterating over keys.
Collections which deal with keys (so Map
, KeySet
and IndexedMap
) allow you to iterate
over keys in a safe and typed way. They all share the same API, the only difference being
that KeySet
returns a different type of Iterator
because KeySet
only deals with keys.
Every collection shares the same Iterator
semantics.
Let's have a look at the Map.Iterate
method:
func (m Map[K, V]) Iterate(ctx context.Context, ranger Ranger[K]) (Iterator[K, V], error)
It accepts a collections.Ranger[K]
, which is an API that instructs map on how to iterate over keys.
As always we don't need to implement anything here as collections
already provides some generic Ranger
implementers
that expose all you need to work with ranges.
Example
We have a collections.Map
that maps accounts using uint64
IDs.
package collections
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
authtypes "github.com/cosmos/cosmos-sdk/x/auth/types"
)
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts collections.Map[uint64, authtypes.BaseAccount]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewMap(sb, AccountsPrefix, "accounts", collections.Uint64Key, codec.CollValue[authtypes.BaseAccount](cdc)),
}
}
func (k Keeper) GetAllAccounts(ctx sdk.Context) ([]authtypes.BaseAccount, error) {
// passing a nil Ranger equals to: iterate over every possible key
iter, err := k.Accounts.Iterate(ctx, nil)
if err != nil {
return nil, err
}
accounts, err := iter.Values()
if err != nil {
return nil, err
}
return accounts, err
}
func (k Keeper) IterateAccountsBetween(ctx sdk.Context, start, end uint64) ([]authtypes.BaseAccount, error) {
// The collections.Range API offers a lot of capabilities
// like defining where the iteration starts or ends.
rng := new(collections.Range[uint64]).
StartInclusive(start).
EndExclusive(end).
Descending()
iter, err := k.Accounts.Iterate(ctx, rng)
if err != nil {
return nil, err
}
accounts, err := iter.Values()
if err != nil {
return nil, err
}
return accounts, nil
}
func (k Keeper) IterateAccounts(ctx sdk.Context, do func(id uint64, acc authtypes.BaseAccount) (stop bool)) error {
iter, err := k.Accounts.Iterate(ctx, nil)
if err != nil {
return err
}
defer iter.Close()
for ; iter.Valid(); iter.Next() {
kv, err := iter.KeyValue()
if err != nil {
return err
}
if do(kv.Key, kv.Value) {
break
}
}
return nil
}
Let's analyse each method in the example and how it makes use of the Iterate
and the returned Iterator
API.
GetAllAccounts
In GetAllAccounts
we pass to our Iterate
a nil Ranger
. This means that the returned Iterator
will include
all the existing keys within the collection.
Then we use the Values
method from the returned Iterator
API to collect all the values into a slice.
Iterator
offers other methods such as Keys()
to collect only the keys and not the values and KeyValues
to collect
all the keys and values.
IterateAccountsBetween
Here we make use of the collections.Range
helper to specialise our range.
We make it start in a point through StartInclusive
and end in the other with EndExclusive
, then
we instruct it to report us results in reverse order through Descending
Then we pass the range instruction to Iterate
and get an Iterator
, which will contain only the results
we specified in the range.
Then we use again the Values
method of the Iterator
to collect all the results.
collections.Range
also offers a Prefix
API which is not applicable to all keys types,
for example uint64 cannot be prefix because it is of constant size, but a string
key
can be prefixed.
IterateAccounts
Here we showcase how to lazily collect values from an Iterator.
Keys/Values/KeyValues
fully consume and close the Iterator
, here we need to explicitly do a defer iterator.Close()
call.
Iterator
also exposes a Value
and Key
method to collect only the current value or key, if collecting both is not needed.
For this callback
pattern, collections expose a Walk
API.
Composite keys
So far we've worked only with simple keys, like uint64
, the account address, etc.
There are some more complex cases in, which we need to deal with composite keys.
A key is composite when it is composed of multiple keys, for example bank balances as stored as the composite key
(AccAddress, string)
where the first part is the address holding the coins and the second part is the denom.
Example, let's say address BOB
holds 10atom,15osmo
, this is how it is stored in state:
(bob, atom) => 10
(bob, osmos) => 15
Now this allows to efficiently get a specific denom balance of an address, by simply getting
(address, denom)
, or getting all the balances
of an address by prefixing over (address)
.
Let's see now how we can work with composite keys using collections.
Example
In our example we will show-case how we can use collections when we are dealing with balances, similar to bank,
a balance is a mapping between (address, denom) => math.Int
the composite key in our case is (address, denom)
.
Instantiation of a composite key collection
package collections
import (
"cosmossdk.io/collections"
"cosmossdk.io/math"
storetypes "cosmossdk.io/store/types"
sdk "github.com/cosmos/cosmos-sdk/types"
)
var BalancesPrefix = collections.NewPrefix(1)
type Keeper struct {
Schema collections.Schema
Balances collections.Map[collections.Pair[sdk.AccAddress, string], math.Int]
}
func NewKeeper(storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Balances: collections.NewMap(
sb, BalancesPrefix, "balances",
collections.PairKeyCodec(sdk.AccAddressKey, collections.StringKey),
sdk.IntValue,
),
}
}
The Map Key definition
First of all we can see that in order to define a composite key of two elements we use the collections.Pair
type:
collections.Map[collections.Pair[sdk.AccAddress, string], math.Int]
collections.Pair
defines a key composed of two other keys, in our case the first part is sdk.AccAddress
, the second
part is string
.
The Key Codec instantiation
The arguments to instantiate are always the same, the only thing that changes is how we instantiate
the KeyCodec
, since this key is composed of two keys we use collections.PairKeyCodec
, which generates
a KeyCodec
composed of two key codecs. The first one will encode the first part of the key, the second one will
encode the second part of the key.
Working with composite key collections
Let's expand on the example we used before:
var BalancesPrefix = collections.NewPrefix(1)
type Keeper struct {
Schema collections.Schema
Balances collections.Map[collections.Pair[sdk.AccAddress, string], math.Int]
}
func NewKeeper(storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Balances: collections.NewMap(
sb, BalancesPrefix, "balances",
collections.PairKeyCodec(sdk.AccAddressKey, collections.StringKey),
sdk.IntValue,
),
}
}
func (k Keeper) SetBalance(ctx sdk.Context, address sdk.AccAddress, denom string, amount math.Int) error {
key := collections.Join(address, denom)
return k.Balances.Set(ctx, key, amount)
}
func (k Keeper) GetBalance(ctx sdk.Context, address sdk.AccAddress, denom string) (math.Int, error) {
return k.Balances.Get(ctx, collections.Join(address, denom))
}
func (k Keeper) GetAllAddressBalances(ctx sdk.Context, address sdk.AccAddress) (sdk.Coins, error) {
balances := sdk.NewCoins()
rng := collections.NewPrefixedPairRange[sdk.AccAddress, string](address)
iter, err := k.Balances.Iterate(ctx, rng)
if err != nil {
return nil, err
}
kvs, err := iter.KeyValues()
if err != nil {
return nil, err
}
for _, kv := range kvs {
balances = balances.Add(sdk.NewCoin(kv.Key.K2(), kv.Value))
}
return balances, nil
}
func (k Keeper) GetAllAddressBalancesBetween(ctx sdk.Context, address sdk.AccAddress, startDenom, endDenom string) (sdk.Coins, error) {
rng := collections.NewPrefixedPairRange[sdk.AccAddress, string](address).
StartInclusive(startDenom).
EndInclusive(endDenom)
iter, err := k.Balances.Iterate(ctx, rng)
if err != nil {
return nil, err
}
...
}
SetBalance
As we can see here we're setting the balance of an address for a specific denom.
We use the collections.Join
function to generate the composite key.
collections.Join
returns a collections.Pair
(which is the key of our collections.Map
)
collections.Pair
contains the two keys we have joined, it also exposes two methods: K1
to fetch the 1st part of the
key and K2
to fetch the second part.
As always, we use the collections.Map.Set
method to map the composite key to our value (math.Int
in this case)
GetBalance
To get a value in composite key collection, we simply use collections.Join
to compose the key.
GetAllAddressBalances
We use collections.PrefixedPairRange
to iterate over all the keys starting with the provided address.
Concretely the iteration will report all the balances belonging to the provided address.
The first part is that we instantiate a PrefixedPairRange
, which is a Ranger
implementer aimed to help
in Pair
keys iterations.
rng := collections.NewPrefixedPairRange[sdk.AccAddress, string](address)
As we can see here we're passing the type parameters of the collections.Pair
because golang type inference
with respect to generics is not as permissive as other languages, so we need to explicitly say what are the types of the pair key.
GetAllAddressesBalancesBetween
This showcases how we can further specialise our range to limit the results further, by specifying the range between the second part of the key (in our case the denoms, which are strings).
IndexedMap
collections.IndexedMap
is a collection that uses under the hood a collections.Map
, and has a struct, which contains the indexes that we need to define.
Example
Let's say we have an auth.BaseAccount
struct which looks like the following:
type BaseAccount struct {
AccountNumber uint64 `protobuf:"varint,3,opt,name=account_number,json=accountNumber,proto3" json:"account_number,omitempty"`
Sequence uint64 `protobuf:"varint,4,opt,name=sequence,proto3" json:"sequence,omitempty"`
}
First of all, when we save our accounts in state we map them using a primary key sdk.AccAddress
.
If it were to be a collections.Map
it would be collections.Map[sdk.AccAddres, authtypes.BaseAccount]
.
Then we also want to be able to get an account not only by its sdk.AccAddress
, but also by its AccountNumber
.
So we can say we want to create an Index
that maps our BaseAccount
to its AccountNumber
.
We also know that this Index
is unique. Unique means that there can only be one BaseAccount
that maps to a specific
AccountNumber
.
First of all, we start by defining the object that contains our index:
var AccountsNumberIndexPrefix = collections.NewPrefix(1)
type AccountsIndexes struct {
Number *indexes.Unique[uint64, sdk.AccAddress, authtypes.BaseAccount]
}
func NewAccountIndexes(sb *collections.SchemaBuilder) AccountsIndexes {
return AccountsIndexes{
Number: indexes.NewUnique(
sb, AccountsNumberIndexPrefix, "accounts_by_number",
collections.Uint64Key, sdk.AccAddressKey,
func(_ sdk.AccAddress, v authtypes.BaseAccount) (uint64, error) {
return v.AccountNumber, nil
},
),
}
}
We create an AccountIndexes
struct which contains a field: Number
. This field represents our AccountNumber
index.
AccountNumber
is a field of authtypes.BaseAccount
and it's a uint64
.
Then we can see in our AccountIndexes
struct the Number
field is defined as:
*indexes.Unique[uint64, sdk.AccAddress, authtypes.BaseAccount]
Where the first type parameter is uint64
, which is the field type of our index.
The second type parameter is the primary key sdk.AccAddress
.
And the third type parameter is the actual object we're storing authtypes.BaseAccount
.
Then we create a NewAccountIndexes
function that instantiates and returns the AccountsIndexes
struct.
The function takes a SchemaBuilder
. Then we instantiate our indexes.Unique
, let's analyse the arguments we pass to
indexes.NewUnique
.
NOTE: indexes list
The AccountsIndexes
struct contains the indexes, the NewIndexedMap
function will infer the indexes form that struct
using reflection, this happens only at init and is not computationally expensive. In case you want to explicitly declare
indexes: implement the Indexes
interface in the AccountsIndexes
struct:
func (a AccountsIndexes) IndexesList() []collections.Index[sdk.AccAddress, authtypes.BaseAccount] {
return []collections.Index[sdk.AccAddress, authtypes.BaseAccount]{a.Number}
}
Instantiating a indexes.Unique
The first three arguments, we already know them, they are: SchemaBuilder
, Prefix
which is our index prefix (the partition
where index keys relationship for the Number
index will be maintained), and the human name for the Number
index.
The second argument is a collections.Uint64Key
which is a key codec to deal with uint64
keys, we pass that because
the key we're trying to index is a uint64
key (the account number), and then we pass as fifth argument the primary key codec,
which in our case is sdk.AccAddress
(remember: we're mapping sdk.AccAddress
=> BaseAccount
).
Then as last parameter we pass a function that: given the BaseAccount
returns its AccountNumber
.
After this we can proceed instantiating our IndexedMap
.
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts *collections.IndexedMap[sdk.AccAddress, authtypes.BaseAccount, AccountsIndexes]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewIndexedMap(
sb, AccountsPrefix, "accounts",
sdk.AccAddressKey, codec.CollValue[authtypes.BaseAccount](cdc),
NewAccountIndexes(sb),
),
}
}
As we can see here what we do, for now, is the same thing as we did for collections.Map
.
We pass it the SchemaBuilder
, the Prefix
where we plan to store the mapping between sdk.AccAddress
and authtypes.BaseAccount
,
the human name and the respective sdk.AccAddress
key codec and authtypes.BaseAccount
value codec.
Then we pass the instantiation of our AccountIndexes
through NewAccountIndexes
.
Full example:
package docs
import (
"cosmossdk.io/collections"
"cosmossdk.io/collections/indexes"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
authtypes "github.com/cosmos/cosmos-sdk/x/auth/types"
)
var AccountsNumberIndexPrefix = collections.NewPrefix(1)
type AccountsIndexes struct {
Number *indexes.Unique[uint64, sdk.AccAddress, authtypes.BaseAccount]
}
func (a AccountsIndexes) IndexesList() []collections.Index[sdk.AccAddress, authtypes.BaseAccount] {
return []collections.Index[sdk.AccAddress, authtypes.BaseAccount]{a.Number}
}
func NewAccountIndexes(sb *collections.SchemaBuilder) AccountsIndexes {
return AccountsIndexes{
Number: indexes.NewUnique(
sb, AccountsNumberIndexPrefix, "accounts_by_number",
collections.Uint64Key, sdk.AccAddressKey,
func(_ sdk.AccAddress, v authtypes.BaseAccount) (uint64, error) {
return v.AccountNumber, nil
},
),
}
}
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts *collections.IndexedMap[sdk.AccAddress, authtypes.BaseAccount, AccountsIndexes]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewIndexedMap(
sb, AccountsPrefix, "accounts",
sdk.AccAddressKey, codec.CollValue[authtypes.BaseAccount](cdc),
NewAccountIndexes(sb),
),
}
}
Working with IndexedMaps
Whilst instantiating collections.IndexedMap
is tedious, working with them is extremely smooth.
Let's take the full example, and expand it with some use-cases.
package docs
import (
"cosmossdk.io/collections"
"cosmossdk.io/collections/indexes"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
authtypes "github.com/cosmos/cosmos-sdk/x/auth/types"
)
var AccountsNumberIndexPrefix = collections.NewPrefix(1)
type AccountsIndexes struct {
Number *indexes.Unique[uint64, sdk.AccAddress, authtypes.BaseAccount]
}
func (a AccountsIndexes) IndexesList() []collections.Index[sdk.AccAddress, authtypes.BaseAccount] {
return []collections.Index[sdk.AccAddress, authtypes.BaseAccount]{a.Number}
}
func NewAccountIndexes(sb *collections.SchemaBuilder) AccountsIndexes {
return AccountsIndexes{
Number: indexes.NewUnique(
sb, AccountsNumberIndexPrefix, "accounts_by_number",
collections.Uint64Key, sdk.AccAddressKey,
func(_ sdk.AccAddress, v authtypes.BaseAccount) (uint64, error) {
return v.AccountNumber, nil
},
),
}
}
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts *collections.IndexedMap[sdk.AccAddress, authtypes.BaseAccount, AccountsIndexes]
}
func NewKeeper(storeKey *storetypes.KVStoreKey, cdc codec.BinaryCodec) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewIndexedMap(
sb, AccountsPrefix, "accounts",
sdk.AccAddressKey, codec.CollValue[authtypes.BaseAccount](cdc),
NewAccountIndexes(sb),
),
}
}
func (k Keeper) CreateAccount(ctx sdk.Context, addr sdk.AccAddress) error {
nextAccountNumber := k.getNextAccountNumber()
newAcc := authtypes.BaseAccount{
AccountNumber: nextAccountNumber,
Sequence: 0,
}
return k.Accounts.Set(ctx, addr, newAcc)
}
func (k Keeper) RemoveAccount(ctx sdk.Context, addr sdk.AccAddress) error {
return k.Accounts.Remove(ctx, addr)
}
func (k Keeper) GetAccountByNumber(ctx sdk.Context, accNumber uint64) (sdk.AccAddress, authtypes.BaseAccount, error) {
accAddress, err := k.Accounts.Indexes.Number.MatchExact(ctx, accNumber)
if err != nil {
return nil, authtypes.BaseAccount{}, err
}
acc, err := k.Accounts.Get(ctx, accAddress)
return accAddress, acc, nil
}
func (k Keeper) GetAccountsByNumber(ctx sdk.Context, startAccNum, endAccNum uint64) ([]authtypes.BaseAccount, error) {
rng := new(collections.Range[uint64]).
StartInclusive(startAccNum).
EndInclusive(endAccNum)
iter, err := k.Accounts.Indexes.Number.Iterate(ctx, rng)
if err != nil {
return nil, err
}
return indexes.CollectValues(ctx, k.Accounts, iter)
}
func (k Keeper) getNextAccountNumber() uint64 {
return 0
}
Collections with interfaces as values
Although cosmos-sdk is shifting away from the usage of interface registry, there are still some places where it is used. In order to support old code, we have to support collections with interface values.
The generic codec.CollValue
is not able to handle interface values, so we need to use a special type codec.CollValueInterface
.
codec.CollValueInterface
takes a codec.BinaryCodec
as an argument, and uses it to marshal and unmarshal values as interfaces.
The codec.CollValueInterface
lives in the codec
package, whose import path is github.com/cosmos/cosmos-sdk/codec
.
Instantiating Collections with interface values
In order to instantiate a collection with interface values, we need to use codec.CollValueInterface
instead of codec.CollValue
.
package example
import (
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
sdk "github.com/cosmos/cosmos-sdk/types"
authtypes "github.com/cosmos/cosmos-sdk/x/auth/types"
)
var AccountsPrefix = collections.NewPrefix(0)
type Keeper struct {
Schema collections.Schema
Accounts *collections.Map[sdk.AccAddress, sdk.AccountI]
}
func NewKeeper(cdc codec.BinaryCodec, storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Accounts: collections.NewMap(
sb, AccountsPrefix, "accounts",
sdk.AccAddressKey, codec.CollInterfaceValue[sdk.AccountI](cdc),
),
}
}
func (k Keeper) SaveBaseAccount(ctx sdk.Context, account authtypes.BaseAccount) error {
return k.Accounts.Set(ctx, account.GetAddress(), account)
}
func (k Keeper) SaveModuleAccount(ctx sdk.Context, account authtypes.ModuleAccount) error {
return k.Accounts.Set(ctx, account.GetAddress(), account)
}
func (k Keeper) GetAccount(ctx sdk.context, addr sdk.AccAddress) (sdk.AccountI, error) {
return k.Accounts.Get(ctx, addr)
}
Triple key
The collections.Triple
is a special type of key composed of three keys, it's identical to collections.Pair
.
Let's see an example.
package example
import (
"context"
"cosmossdk.io/collections"
storetypes "cosmossdk.io/store/types"
"github.com/cosmos/cosmos-sdk/codec"
)
type AccAddress = string
type ValAddress = string
type Keeper struct {
// let's simulate we have redelegations which are stored as a triple key composed of
// the delegator, the source validator and the destination validator.
Redelegations collections.KeySet[collections.Triple[AccAddress, ValAddress, ValAddress]]
}
func NewKeeper(storeKey *storetypes.KVStoreKey) Keeper {
sb := collections.NewSchemaBuilder(sdk.OpenKVStore(storeKey))
return Keeper{
Redelegations: collections.NewKeySet(sb, collections.NewPrefix(0), "redelegations", collections.TripleKeyCodec(collections.StringKey, collections.StringKey, collections.StringKey)
}
}
// RedelegationsByDelegator iterates over all the redelegations of a given delegator and calls onResult providing
// each redelegation from source validator towards the destination validator.
func (k Keeper) RedelegationsByDelegator(ctx context.Context, delegator AccAddress, onResult func(src, dst ValAddress) (stop bool, err error)) error {
rng := collections.NewPrefixedTripleRange[AccAddress, ValAddress, ValAddress](delegator)
return k.Redelegations.Walk(ctx, rng, func(key collections.Triple[AccAddress, ValAddress, ValAddress]) (stop bool, err error) {
return onResult(key.K2(), key.K3())
})
}
// RedelegationsByDelegatorAndValidator iterates over all the redelegations of a given delegator and its source validator and calls onResult for each
// destination validator.
func (k Keeper) RedelegationsByDelegatorAndValidator(ctx context.Context, delegator AccAddress, validator ValAddress, onResult func(dst ValAddress) (stop bool, err error)) error {
rng := collections.NewSuperPrefixedTripleRange[AccAddress, ValAddress, ValAddress](delegator, validator)
return k.Redelegations.Walk(ctx, rng, func(key collections.Triple[AccAddress, ValAddress, ValAddress]) (stop bool, err error) {
return onResult(key.K3())
})
}
Advanced Usages
Alternative Value Codec
The codec.AltValueCodec
allows a collection to decode values using a different codec than the one used to encode them.
Basically it enables to decode two different byte representations of the same concrete value.
It can be used to lazily migrate values from one bytes representation to another, as long as the new representation is
not able to decode the old one.
A concrete example can be found in x/bank
where the balance was initially stored as Coin
and then migrated to Int
.
var BankBalanceValueCodec = codec.NewAltValueCodec(sdk.IntValue, func(b []byte) (sdk.Int, error) {
coin := sdk.Coin{}
err := coin.Unmarshal(b)
if err != nil {
return sdk.Int{}, err
}
return coin.Amount, nil
})
The above example shows how to create an AltValueCodec
that can decode both sdk.Int
and sdk.Coin
values. The provided
decoder function will be used as a fallback in case the default decoder fails. When the value will be encoded back into state
it will use the default encoder. This allows to lazily migrate values to a new bytes representation.