Datastores

Datastores are a Slack-hosted way to store data for your next generation Slack apps. Datastores are backed by DynamoDB, a secure and performant NoSQL database. DynamoDB's data model uses three basic types of data units: tables, items, and attributes. Tables are collections of items, and items are collections of attributes. You will see how a collection of attributes comprises an item when we define a datastore later in this page.

Initialize a datastore

To initialize a datastore:

• Define the datastore
• Add it to your manifest

Defining a datastore

To keep your app tidy, datastores can be defined in their own source files just like custom functions.

If you don't already have one, create a datastores directory in the root of your project, and inside, create a source file to define your datastore.

In the following example, we'll create a datastore called "Good Tunes" and define it in a file named good_tunes_datastore.ts. It will hold information about music artists and their songs:

// datastores/good_tunes_datastore.ts 
import { DefineDatastore, Schema } from "deno-slack-sdk/mod.ts";

export const GoodTunesDatastore = DefineDatastore({
  name: "good_tunes",
  primary_key: "id",
  attributes: {
    id: { type: Schema.types.string },
    artist: { type: Schema.types.string },
    song: { type: Schema.types.string },
  },
});

Datastores can contain three primary properties. While primary_key is the only required property, unhandled optional properties may cause TypeScript errors in your code.

Property	Type	Description	Required
name	String	A string to identify your datastore	No
primary_key	String	The attribute to be used as the datastore's unique key; ensure this is an actual attribute that you have defined	Yes
attributes	Object (see below)	Properties to scaffold your datastore's columns	No

Attributes can be custom types, built-in types, and the following basic schema types:

• array
• boolean
• int
• number
• object
• string

Adding the datastore to your app's manifest

The last step in initializing your datastore is to add it to the datastores property in your manifest and include the required datastore bot scopes.

To do that, first add the datastores property to your manifest if it does not exist, then list the datastores you have defined. Second, add the following datastore permission scopes to the botScopes property:

• datastore:read
• datastore:write

Here's an example manifest definition given the above GoodTunesDatastore:

import { Manifest } from "deno-slack-sdk/mod.ts";

// Import the datastore definition
import { GoodTunesDatastore } from "./datastores/good_tunes.ts";

export default Manifest({
  name: "Good Tunes",
  description: "Add a song to the Good Tunes queue",
  icon: "assets/icon.png",
  outgoingDomains: [],
  datastores: [GoodTunesDatastore], // Add the database to this list
  botScopes: [
    "commands",
    "chat:write",
    "chat:write.public",
    "datastore:read",
    "datastore:write",
  ],
});

Note that we've also added the required datastore:read and datastore:write bot scopes.

Interact with a datastore

There are two ways to interact with your app's datastore.

➡️ To interact with your datastore through the command-line tool, see the datastore commands section.

⤵️ The other way to interact with your datastore is with a custom function. Let's do that now.

Interacting with your app's datastore requires hitting the SlackAPI. To do this from within your code, we first need to import a mechanism that will allow us to call the SlackAPI. That mechanism is SlackFunction. First we import it into our function file from the deno-slack-sdk package, then we add a SlackFunction into our code. SlackFunction contains a property, client, which allows us to call the datastore. Check out the example here or below. In all interactions with your datastore, double and triple-check the exact spelling of the fields in the datastore definition match your query, lest you should receive an error.

Visualizing the datastore

When interacting with your datastore, it may be helpful to first visualize its structure. In our GoodTunesDatastore example, let's say we have stored the following artists and their songs:

id	artist	song
1	Aretha Franklin	Respect
2	The Beatles	Yesterday
3	Led Zeppelin	Stairway to Heaven
4	Whitney Houston	I Will Always Love You
5	Fred Rogers	Won't You be My Neighbor?

We're almost ready to start diving into datastore interactions, but first:

Creating or replacing an item

The apps.datastore.put method is used for both creating and updating an item in a datastore. Let's see how that works in the following examples where we pass in values for each of the datastore's attributes:

// functions/insert_into_datastore.ts
import { DefineFunction, Schema, SlackFunction } from "deno-slack-sdk/mod.ts"; // Note the SlackFunction import here

export const InsertIntoDatastoreFunctionDefinition = DefineFunction({
  callback_id: "insert_into_datastore",
  title: "Insert into datastore",
  description: "Adds artist and song to a datastore",
  source_file: "functions/insert_into_datastore.ts",
  input_parameters: {
    properties: {
      artist: {
        type: Schema.types.string,
        description: "The name of the artist",
      },
      song: {
        type: Schema.types.string,
        description: "The name of the artist's song",
      },
    },
    required: ["artist", "song"],
  },
});

export default SlackFunction(
  InsertIntoDatastoreFunctionDefinition,
  // Note the `async`, required since we `await` any `client` call.
  async ({ inputs, client }) => {
    // The below will create a *new* item, since we're creating a new ID:
    const uuid = crypto.randomUUID();
    // Use the client prop to call the SlackAPI
    const response = await client.apps.datastore.put({ // Here's that client property we mentioned that allows us to call the SlackAPI's datastore functions
      datastore: "good_tunes",
      item: {
        // To update an existing item, pass the `id` returned from a previous put command
        id: uuid,
        artist: inputs.artist,
        song: inputs.song,
      },
    });

    if (!response.ok) {
      const error = `Failed to save a row in datastore: ${response.error}`;
      return { error };
    } else {
      console.log(`A new row saved: ${response.item}`);
      return { outputs: {} };
    }
  },
);

If the call was successful, the payload's ok property will be true, and the item property will return a copy of the data you just inserted:

{
  "ok": true,
  "datastore": "good_tunes",
  "item": {
    "artist": "The artist you entered",
    "song": "The song you entered",
    "id": "unique_id_for_this_item"
  }
}

If the call was not successful, the payload's ok property will be false, and you will have a error code and message property available:

{
  "ok": false,
  "error": "datastore_error",
  "errors": [
    {
      "code": "some_error_code",
      "message": "A description of the error",
      "pointer": "/datastore/good_tunes"
    }
  ]
}

If you're adding new data via the put method, provide an item with a new primary key value in the id property shown here. If you're updating an existing item, provide the id of the item you wish to replace. Note that a put request replaces the entire object, if it exists.

Creating or update an item

Updating only some of an item's attributes is done with the apps.datastore.update API method. Let's see how that works by passing in values for only some of the datastore's attributes:

// functions/update_datastore.ts
import { DefineFunction, Schema, SlackFunction } from "deno-slack-sdk/mod.ts"; // Note the SlackFunction import here

export const UpdateDatastoreFunctionDefinition = DefineFunction({
  callback_id: "update_datastore",
  title: "Update a datastore",
  description: "Updates a song in a datastore",
  source_file: "functions/update_datastore.ts",
  input_parameters: {
    properties: {
      item_id: {
        type: Schema.types.string,
        description: "The ID of the datastore item to update",
      },
      song: {
        type: Schema.types.string,
        description: "The updated name of the song",
      },
    },
    required: ["item_id", "song"],
  },
});

export default SlackFunction(
  UpdateDatastoreFunctionDefinition,
  // Note the `async`, required since we `await` any `client` call.
  async ({ inputs, client }) => {
    // Use the client prop to call the SlackAPI
    const response = await client.apps.datastore.update({
      datastore: "good_tunes",
      item: {
        id: inputs.item_id,
        song: inputs.song,
      },
    });

    if (!response.ok) {
      const error = `Failed to update datastore: ${response.error}`;
      return { error };
    } else {
      console.log(`A row updated: ${response.item}`);
      return { outputs: {} };
    }
  },
);

If the call was successful, the payload's ok property will be true, and the item property will return a copy of the updated data:

{
  "ok": true,
  "datastore": "good_tunes",
  "item": {
    "artist": "The artist that was already in the datastore",
    "song": "The new song title you entered",
    "id": "unique_id_for_this_item"
  }
}

If the call was not successful, the payload's ok property will be false, and you will have a error code and message property available:

{
  "ok": false,
  "error": "datastore_error",
  "errors": [
    {
      "code": "some_error_code",
      "message": "A description of the error",
      "pointer": "/datastore/good_tunes"
    }
  ]
}

If an item with the provided id doesn't exist in the datastore, update will insert the item using the provided attributes.

Retrieving a single item

Now, let's retrieve an item by its primary key attribute using the apps.datastore.get API Method. For example, consider doing following:

// Somewhere in your function:
const uuid = "6db46604-7910-4684-b706-ac5929dd16ef";
const response = await client.apps.datastore.get({
  datastore: "good_tunes",
  id: uuid,
});

if (!response.ok) {
  const error = `Failed to get a row from datastore: ${response.error}`;
  return { error };
}

Regardless of what you named your primary_key, the query will always use id.

If the call was successful and data was found, an item property in the payload will include the attributes (and their values) from the datastore definition:

{
  "ok": true,
  "datastore": "good_tunes",
  "item": {
    "artist": "Fred Rodgers",
    "song": "Won't You be My Neighbor?",
    "id": "6db46604-7910-4684-b706-ac5929dd16ef"
  }
}

If the call was successful but no data was found, the item property in the payload will be blank:

{
  "ok": true,
  "datastore": "good_tunes",
  "item": {}
}

If the call was unsuccessful, the payload will contain two fields:

{
  "ok": false,
  "error": "(some error string)"
}

It is possible to have records with undefined values, and it's important to be proactive in expecting those situations in your code. Here are some examples of how to code around a potential undefined field while retrieving an item. This example snippet supports the case where the function returns an optional output:

const getResponse = client.apps.datastore.get<typeof UserDatastore.definition>({...});
const artistId = getResponse.item.id; // id is the primary_key
const artistEmail = getResponse.item.email; // email could be undefined

return {
  outputs: {
    id: artistId, // id is always defined
    email: artistEmail,  // email must be an optional output of the function
  }
}

This example snippet supports the case where the function assigns a default:

const getResponse = client.apps.datastore.get<typeof UserDatastore.definition>({...});
const artistId = getResponse.item.id; // id is the primary_key

// email could be undefined, so use a fallback
const artistEmail = getResponse.item.email ?? "support@good-tunes.com";

return {
  outputs: {
    id: artistId, // id is always defined
    email: artistEmail,  // email is always defined
  }
}

And finally, this example snippet supports the case where the function should error:

const getResponse = client.apps.datastore.get<typeof UserDatastore.definition>({...});
const artistId = getResponse.item.id; // id is the primary_key

if (getResponse.item.email) {
  const artistEmail = getResponse.item.email;
  return {
    outputs: { 
      id: artistId,
      email: artistEmail }
  }
} else {
  return {
    error: "Artist doesn't have an email assigned"
  } 
}

Querying the datastore

If you need to retrieve more than a single row or find data without already knowing the id, you'll want to run a query. The apps.datastore.query API method uses DynamoDB syntax to do just that.

Parameter	Description
datastore	A string with the name of the datastore to read the data from
expression	(Optional) A DynamoDB filter expression
expression_attributes	(Optional) A map of columns used by the expression
expression_values	(Optional) A map of values used by the expression
limit	(Optional) The maximum number of entries to return, 1-1000 (both inclusive); default is 100
cursor	(Optional) The string value to access the next page of results

Here's an example of how to query our GoodTunesDatastore and retrieve a list of all the songs with names starting with "Won't":

const result = await client.apps.datastore.query({
  datastore: "good_tunes",
  expression: "begins_with (#song_name, :name)",
  expression_attributes: { "#song_name": "song" },
  expression_values: { ":name": "Won't" },
});

In this example, we're doing the following:

1. Defining a temporary variable #song_name to use when iterating through the :name (rows) of the song (column).
2. If the :name value begins with "Won't", return that item.

Here's another example with GoodTunesDatastore where we retrieve all the songs written by Fred Rodgers:

const result = await client.apps.datastore.query({
  datastore: "good_tunes",
  expression: "#artist_name = :name",
  expression_attributes: { "#artist_name": "artist" },
  expression_values: { ":name": "Fred Rodgers" },
});

Similarly, in this example, we're doing the following:

1. Defining a temporary variable #artist_name to use when iterating through the :name (rows) of the artist (column).
2. If the :name value matches "Fred Rodgers", return that item.

Pagination

For cursor-paginated methods, use the cursor parameter to retrieve the next page of your query results.

If your initial query has another page of results, the next_cursor response parameter is the key returned that will unlock your next page of results. Use this key to query the datastore again and set cursor to the value of next_cursor.

That request might look like:

const result = await client.apps.datastore.query({
  datastore: "good_tunes",
  cursor: "eyJfX2NWaVhnOTJ4Ym5fXyI6eyJTIjoiMDExYWIwNzItMTU4Yy00ZmJlLTg4OTYtNWExMjdjZmE4ZDUxIn19"
});

Express yourself

An expression is a way to build a query using comparison operators like =, <, <=.

An expression_attributes object is a map of the columns used for the comparison, and an expression_values object is a map of values. The expression_attributes property must always begin with a #, and the expression_values property must always begin with a :

Here's an example of a function that receives a song via an input and queries for the song record that matches the provided song name:

const result = await client.apps.datastore.query({
  datastore: "good_tunes",
  expression: "#song = :song",
  expression_attributes: {"#song": "song"},
  expression_values: {":song": input.song}
});

You could also chain expressions together to narrow your results even further:

const result = await client.apps.datastore.query({
  datastore: "good_tunes",
  expression: "#song = :song AND #artist = :artist",
  expression_attributes: {"#song": "song", "#artist": "artist"},
  expression_values: {":song": input.song, ":artist": input.artist}
});

A full list of comparison operators is below:

Operator	Description	Example
=	True if both values are equal	a = b
<	True if the left value is less than but not equal to the right	a < b
<=	True if the left value is less than or equal do the right	a <= b
>	True if the left value is greater than but not equal to the right	a > b
>=	True if the left value is greater than or equal do the right	a >= b
BETWEEN ... AND	True if one value is greater than or equal to one and less than or equal to another	a BETWEEN b AND c (a: 6,b: 3, c: 6)
begins_with(str, substr)	True if a string begins with substring	begins_with("racecar", "race")
contains (path, operand)	True if attribute specified by path is a string that contains the operand string	contains (#song, :inputsong)

Deleting from the datastore

Now, let's delete an item from the datastore by its primary key attribute using the apps.datastore.delete API Method. For example, consider the following:

// Somewhere in your function:
const uuid = "6db46604-7910-4684-b706-ac5929dd16ef";
const response = await client.apps.datastore.delete({
  datastore: "good_tunes",
  id: uuid,
});

if (!response.ok) {
  const error = `Failed to delete a row in datastore: ${response.error}`;
  return { error };
}

Regardless of what you named your primary_key, the query will always use id.

If the call was successful, the payload's ok property will be true, and if not, it will be false and provide an error in the errors property.

Generic types for datastores

You can provide your datastore's definition as a generic type, which will provide some automatic typing on the arguments and response:

// datastores/my_datastore.ts
import { DefineDatastore, Schema } from "deno-slack-sdk/mod.ts";

export const MyDatastore = DefineDatastore({
  name: "my_datastore",
  primary_key: "id",
  attributes: {
    id: { type: Schema.types.string },
    email: { type: Schema.types.string },
  },
});

You can use the result of your DefineDatastore() call as the type by using its definition property:

// functions/save_my_data.ts
import { MyDatastore } from "../datastores/my_datastore.ts";

const response = await client.apps.datastore.put<typeof MyDatastore.definition>(
  {
    datastore: MyDatastore.definition.name,
    item: { id: `${Date.now()}`, email: "test@test.com" },
  },
);

By using typed methods, the datastore property (e.g. MyDatastore.datastore) will enforce that its value matches the datastore definition's name property across methods and the item matches the definition's attributes in arguments and responses. Also, for get() and delete(), a property matching the primary_key will be expected as an argument.

Deleting a datastore

If you need to delete a datastore completely, for instance you've changed the primary key, you have a couple of options. Datastores do support primary key changes, so first try using the --force flag on a datastore CLI operation if the Slack CLI informs you that the datastore has changed. Otherwise, do the following:

• Remove the datastore definition from the app's manifest
• Run slack deploy
• Modify the datastore definition to your heart's content and add it back into the app's manifest
• Run slack deploy again

Troubleshooting

If you're looking to audit or query your datastore from the terminal without having to go through code, see the datastore commands.

If you're getting errors, check the following:

• The primary key is formatted as a string
• The datastore is included in the manifest's datastores property
• The datastore bot scopes are included in the manifest (datastore:read and datastore:write)
• The spelling of the fields in your query match exactly the spelling of the fields in the datastore's definition