You can build complex queries against data stored in the Custom Entity Store using a wide variety of filters and conditions.
To start, import the Forge KVS package in your app, as follows:
1
import { kvs } from '@forge/kvs';
Each installation of your app is subject to the API's quotas and limits. See Storage quotas and Storage limits for more details.
Using the @forge/kvs
package requires the storage:app
scope in your manifest file:
1 2 3
permissions: scopes: - storage:app
See Permissions for more information about scopes.
Before you can store data in the Custom Entity Store, you'll need to declare your custom entities and indexes first in your app's manifest file. Custom entities are user-defined data structures for storing app data. Forge's storage API lets you query data stored in these structures using a wide array of query conditions. These query conditions make it possible to build advanced, complex queries to suit your app's operations.
For information about storing data to the Custom Entity Store, see Storing data in custom entities .
For a detailed tutorial on storing and querying structured data through custom entities, see Use custom entities to store structured data.
All complex queries operate on a custom entity's index. Complex queries follow the same basic signature:
1 2await kvs .entity("<custom-entity>") .query() .index()
This structure contains all the required methods for a complex query. The entity
method sets which custom entity to query, and index
sets which of those entity's indexes to query. Each query can only target one index from one custom entity.
When using indexes that feature a partition
, you must specify a value to match the parameter's attribute:
1 2await kvs .entity("<custom-entity>") .query() .index("<index-name>", { partition: ["<value>"] })
If your index's partition
has multiple attributes, then you must set a value for each attribute. In addition, you must also set each value in the order they are declared in the index. For example, consider the following index:
1 2indexes: - name: by-gender-and-age range: - employmentyear partition: - gender - age
An appropriate query for this would be:
1 2await kvs .entity("employee") .query() .index("by-gender-and-age", { partition: ["male", 20] }) .where(WhereConditions.greaterThan(2003))
This query will fetch employees who are:
employmentyear
is higher than 2003
).Every complex query returns up to 10 values by default. You can increase this to a maximum of 100 using query.limit.
While index
lets you filter matches to an index's partition
, where
lets you filter against an index's range
. To use the where
filter:
1 2import { WhereConditions } from '@forge/kvs';
1 2.where(WhereConditions.<condition>("<value>"))
The where
filtering method supports the following conditions:
beginsWith
between
equalTo
greaterThan
, lessThan
greaterThanEqualTo
, lessThanEqualTo
Constructs a predicate used in the query.where
method to filter results. beginsWith
enforces that the specified field must start with the specified string.
1 2beginsWith(value: string): Predicate
The filters
method allows you to filter the query results with multiple conditions. You can use the filters method once in a query, but it can include multiple conditions by utilizing various filtering methods and conditions.
To use filtering methods and
and or
,
1 2import { Filter, FilterConditions } from '@forge/kvs';
and create a new Filter
instance:
1 2new Filter()
Each filtering method use the following signatures:
and
: all conditions must be matched.
1 2new Filter().and("<attribute>", FilterConditions.<condition>("<value>"))
or
: only one condition must be matched.
1 2new Filter().or("<attribute>", FilterConditions.<condition>("<value>"))
Within the same query, you can use multiple and
and or
methods. However, you cannot use both methods within the same query.
In addition, the and
and or
methods are in-memory filters. Using them can sometimes produce pages with no results, with cursor pointing to the next page where actual results exist.
Both filtering methods support the following conditions:
beginsWith
between
equalTo
, notEqualTo
greaterThan
, lessThan
greaterThanEqualTo
, lessThanEqualTo
exists
, notExists
contains
, notContains
The sort
method displays your results in either ascending (ASC
) or descending (DESC
) order:
1 2.sort(Sort.<"ASC|DESC">)
By default, results are displayed in ascending order.
Returns a new Query
with a limit on how many matching values get returned. The query
API returns up to 10 values by default, this can be increased to a maximum of 100.
1 2query().limit(limit: number): Query
Returns a new Query
that will start after the provided
cursor. Cursors enable your
app to fetch subsequent pages of results after completing an initial query.
Cursors are returned from the getMany
query API.
1 2query().cursor(after: string): Query;
Execute the query and return a list of results up to the provided limit in length. This method returns both the array of results and a cursor that's used to fetch subsequent pages of results.
1 2query().getMany(): Promise<ListResult<T>>; interface ListResult<T> { results: Result<T>[]; nextCursor?: string; } export interface Result<T> { key: string; value: T; }
Execute the query and get the first matching result, if any matches exist. If there
is no match, the result resolves to undefined
.
1 2query().getOne(): Promise<Result<T> | undefined>; export interface Result<T> { key: string; value: T; }
The following manifest.yml
excerpt shows a custom entity named employee
with several attributes and indexes:
1 2app: id: "ari:cloud:ecosystem::app/406d303d-0393-4ec4-ad7c-1435be94583a" storage: entities: - name: employee attributes: surname: type: string age: type: integer employmentyear: type: integer gender: type: string nationality: type: string indexes: - surname - employmentyear - name: by-age range: - age - name: by-age-per-gender partition: - gender range: - age
This entity also creates four indexes based on the following employee
attributes:
surname
employmentyear
age
(further optimized for filtering according to different age ranges)age
per gender
(further optimized for filtering according to age ranges for each gender)Using the previous section's example entity and its indexes, the following queries demonstrate the use of each method:
Targets the surname
index of the employee
entity.
1 2await kvs .entity("employee") .query() .index("surname") .getMany()
Targets the by-age
index, which uses age
as its range
. From this, the where
method will limit matches to employees above the age of 30. Results will be displayed in descending order.
1 2await kvs .entity("employee") .query().index("by-age") .where(WhereConditions.isGreaterThan(30)) .sort(SortOrder.DESC) .getMany()
Targets the by-age-per-gender
index, and will limit matches to female employees.
1 2await kvs .entity("employee") .query() .index("by-age-per-gender", { partition: ["female"] }) .getMany()
Using the by-age-per-gender
index, limits matches only to female Australian employees above the age of 30 who were also hired after 2020.
1 2await kvs .entity("employee") .query() .index("by-age-per-gender", { partition: ["female"] }) .where(WhereConditions.isGreaterThan(30)) .filters(new Filter() .and("employmentyear", FilterConditions.isGreaterThan(2020)) .and("nationality", FilterConditions.equalsTo("Australian")) ) .getMany()
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