Datastore
The Juno Datastore offers a simple key-value model, organized by collections containing documents, for storing data on the blockchain. It eliminates the need to write backend code, allowing easy management of distributed, cross-user data.
To use these features, the Juno SDK must be installed and initialized in your app.
How does it work?
Each satellite you create has a "Datastore", which can have as many collections as you wish.
A collection contains a list of documents, each identified by a textual key that you define.
Each document is a record that holds the data you want to persist on chain, along with timestamps (created and last updated) and an associated owner (the creator of the document).
Timestamps are used to prevent data from being overwritten, and the associated owner is used to grant read and write permissions.
Each document is identified by a key
(unique within a collection).
In essence, a "Datastore" functions as a keypair store.
Limitation
Each satellite has specific memory limits. For detailed information, please refer to the related documentation page.
As for documents, they can be up to 2MB in size. However, larger files can be saved in the storage.
Collections
You can create or update a collection in the "Collections" tab in Juno's console under the datastore view.
Rules
A rule is assigned to a collection to define read and write permissions, which can be configured as public
, private
, managed
, or controllers
.
public
: everyone can read from (resp. write to) any document in the collectionprivate
: only the owner of a document can read from (resp. write to) a document in the collectionmanaged
: the owner of a document and the controllers of the satellite can read from (resp. write to) a document in the collectioncontrollers
: only the controllers of the satellite can read from (resp. write to) any document in the collection
- You can modify the rules at any time, and changes will take effect immediately.
- Any collection with read permissions set to
public
,managed
orcontrollers
can be viewed by the satellite's controllers in the console under the datastore view.
Memory
When you create a collection, it's assigned to either heap or stable memory. This assignment is permanent and cannot be changed once the collection is created. The default allocation is stable
memory.
Add a document
To add a document, use the setDoc
function:
import { setDoc } from "@junobuild/core";
await setDoc({
collection: "my_collection_key",
doc: {
key: "my_document_key",
data: myExample
}
});
You need to provide the collection
in which to save the data and the key
to use as an index for the document. The data
can be any JSON-serializable data.
Key
The key
can be any string
, but it's recommended to generate IDs using the nanoid library.
import { setDoc } from "@junobuild/core";
import { nanoid } from "nanoid";
const myId = nanoid();
await setDoc({
collection: "my_collection_key",
doc: {
key: myId,
data: myExample
}
});
Description
A document can be saved with an optional description
field, allowing for a maximum length of 1024 characters. This field serves both descriptive purposes and can be used for more granular filtering of your documentation. When retrieving documents, you can also filter based on the description field in addition to the keys, providing additional flexibility and organization options.
import { setDoc } from "@junobuild/core";
await setDoc({
collection: "my_collection_key",
doc: {
key: "my_document_key_1",
data: myExample,
description: "This is a description"
}
});
await setDoc({
collection: "my_collection_key",
doc: {
key: "my_document_key_2",
data: myExample,
description: "#programming #technology #web3 #junobuild"
}
});
Get a document
To retrieve data, use the getDoc
function and provide the collection
and the key
of the document:
import { getDoc } from "@junobuild/core";
const myDoc = await getDoc({
collection: "my_collection_key",
key: myId
});
Get multiple documents
Obtaining multiple documents at once can improve performance compared to making multiple individual getDoc
calls depending on the use case.
You can achieve this by using the getManyDocs
function:
import { getManyDocs } from "@junobuild/core";
const docPair1 = {
collection: "my_collection",
key: "my_document_key_1"
};
const docPair2 = {
collection: "my_other_collection",
key: "my_document_key_2"
};
const docs = await getManyDocs({ docs: [docPair1, docPair2] });
Update a document
To update a document, use the setDoc
function with its current version to validate that the most recent entry is being updated:
import { setDoc } from "@junobuild/core";
await setDoc({
collection: "my_collection_key",
doc: {
key: myId,
data: myExample,
version: 3n
}
});
The version
must match the current version of the last document within the satellite; otherwise, the call will fail. This prevents unexpected concurrent overwrites, which is useful, for example, if your users use your projects simultaneously on multiple devices.
You can spread the document you have previously retrieved, for example with getDoc
, to populate the version
and key
fields.
import { setDoc } from "@junobuild/core";
await setDoc({
collection: "my_collection_key",
doc: {
...myDoc, // includes 'key' and 'version'
data: myNewData
}
});
Set multiple documents
You might need to set multiple documents, whether within the same collection or across collections, all at once in an atomic manner. This ensures that if any of the creations or deletions fail, the entire batch will be automatically reverted.
You can achieve this using the setManyDocs
function:
import { setManyDocs } from "@junobuild/core";
const update1 = {
collection: "my_collection",
doc: {
key: "my_document_key_1",
data: {
hello: "world"
}
}
};
const update2 = {
collection: "my_other_collection",
doc: {
key: "my_document_key_2",
data: {
count: 123
}
}
};
const docs = await setManyDocs({ docs: [update1, update2] });
List documents
The listDocs
function is used to retrieve documents from a specified collection.
import { listDocs } from "@junobuild/core";
const myList = await listDocs({
collection: "my_collection_key"
});
Parameters
The function requires a collection and accepts various optional parameters, including a matcher (a regex applied to the document keys and descriptions), pagination options, and sorting order.
-
collection
(required)- Description: The key of the collection from which documents are to be listed.
- Type:
string
-
filter
(optional)- Description: An optional object that can be used to provide various parameters to filter documents.
a.
matcher
(optional)-
Description: An object used to filter documents based on their keys or descriptions using regular expressions.
-
Type:
ListMatcher
interface ListMatcher {
key?: string;
description?: string;
createdAt?: ListTimestampMatcher;
updatedAt?: ListTimestampMatcher;
}- key: A regex to match against document keys.
- description: A regex to match against document descriptions.
- createdAt: A
ListTimestampMatcher
to filter documents based on their creation timestamp. - updatedAt: A
ListTimestampMatcher
to filter documents based on their last update timestamp.
-
Type:
ListTimestampMatcher
can be used to specify criteria for timestamp matching.type ListTimestampMatcher =
| {
matcher: "equal";
timestamp: bigint;
}
| {
matcher: "greaterThan";
timestamp: bigint;
}
| {
matcher: "lessThan";
timestamp: bigint;
}
| {
matcher: "between";
timestamps: {
start: bigint;
end: bigint;
};
};-
matcher: Specifies the type of timestamp comparison. Can be one of the following:
- equal: Matches documents where the timestamp is exactly equal to the specified value.
- greaterThan: Matches documents where the timestamp is greater than the specified value.
- lessThan: Matches documents where the timestamp is less than the specified value.
- between: Matches documents where the timestamp falls within a specified range.
-
timestamp: Used with
equal
,greaterThan
, andlessThan
matchers to specify the exact timestamp for comparison. -
timestamps: Used with the
between
matcher to specify a range of timestamps. The range is inclusive of both the start and end values.
-
b.
paginate
(optional)-
Description: An object to control pagination of the results
-
Type:
ListPaginate
interface ListPaginate {
startAfter?: string;
limit?: number;
}- startAfter: A string key to start listing documents after this key.
- limit: The maximum number of documents to return.
c.
order
(optional)-
Description: Control the sorting order of the results.
-
Type:
ListOrder
interface ListOrder {
desc: boolean;
field: ListOrderField;
}
type ListOrderField = "keys" | "updated_at" | "created_at";
d.
owner
(optional)-
Description: The owner of the documents.
-
Type:
ListOwner
type ListOwner = string | Principal;
Usage of the parameters:
import { listDocs } from "@junobuild/core";
const myList = await listDocs({
collection: "my_collection_key",
filter: {
matcher: {
key: "^doc_",
description: "example",
createdAt: {
matcher: "greaterThan",
timestamp: 1627776000n
},
updatedAt: {
matcher: "between",
timestamps: {
start: 1627770000n,
end: 1627900000n
}
}
},
paginate: {
startAfter: "doc_10",
limit: 5
},
order: {
desc: true,
field: "updated_at"
},
owner: "some_owner_id_or_principal"
}
});
The function returns the documents and various information, in the form of an object whose interface is given below.
{
items: []; // The data - array of documents
items_length: bigint; // The number of documents - basically items.length
items_page?: bigint; // If the query is paginated, at what page (starting from 0) do the items find the place
matches_length: bigint; // The total number of matching results
matches_pages?: bigint; // If the query is paginated, the total number (starting from 0) of pages
}
Count documents
The countDocs
function is used to count the number of documents in a specified collection without retrieving the actual documents.
import { countDocs } from "@junobuild/core";
const count = await countDocs({
collection: "my_collection_key"
});
Usage
This function accepts similar parameters as the listDocs
function, including collection
, matcher
, and owner
, and returns the count of matching documents.
For detailed information on how to use these parameters, refer to the List documents section.
The return value is the same as the items_length
property from the listDocs
function, providing the count of documents that match the criteria.
Delete
There are multiple ways to delete documents from your Datastore.
Delete a document
To delete a document, use the deleteDoc
function, which performs version validation to ensure that the most recent document is being deleted:
import { deleteDoc } from "@junobuild/core";
await deleteDoc({
collection: "my_collection_key",
doc: myDoc
});
The document must include the current version
from the latest entry within the satellite; otherwise, the call will fail. This prevents unexpected concurrent overwrites, which is particularly useful if your users access your projects simultaneously on multiple devices.
Delete multiple documents
To delete multiple documents in an atomic manner, you can use the function deleteManyDocs
:
import { deleteManyDocs } from "@junobuild/core";
await deleteManyDocs({ docs: [myDoc1, myDo2, myDoc3] });
Delete filtered documents
The deleteFilteredDocs
function allows you to delete multiple documents from a collection based on specific filter criteria. This function simplifies bulk deletions by leveraging the same parameters as the listDocs function for filtering.
import { deleteFilteredDocs } from "@junobuild/core";
await deleteFilteredDocs({
collection: "my_collection_key",
filter: {
// Same options as filter of listDocs
}
});
Configuration
The Datastore supports various configuration options to fine-tune its behavior, such as resource limits and operational constraints. For a detailed explanation of all available options, see the configuration section.