218 lines
6.4 KiB
Plaintext
218 lines
6.4 KiB
Plaintext
---
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title: Querying your Documents
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label: Overview
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order: 10
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desc: Payload provides a querying language through all APIs, allowing you to filter or search through documents within a Collection.
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keywords: query, documents, overview, documentation, Content Management System, cms, headless, javascript, node, react, express
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---
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Payload provides an extremely granular querying language through all APIs. Each API takes the same syntax and fully supports all options.
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<Banner>
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<strong>
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Here, "querying" relates to filtering or searching through documents within
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a Collection.
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</strong>{" "}
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You can build queries to pass to Find operations as well as to{" "}
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<a href="/docs/access-control/overview">
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restrict which documents certain users can access
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</a>{" "}
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via access control functions.
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</Banner>
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### Simple queries
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For example, say you have a collection as follows:
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```js
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const Post = {
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slug: "posts",
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fields: [
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{
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name: "color",
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type: "select",
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options: ["mint", "dark-gray", "white"],
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},
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{
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name: "featured",
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type: "checkbox",
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},
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],
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};
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```
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You may eventually have a lot of documents within this Collection. If you wanted to find only documents with `color` equal to `mint`, you could write a query as follows:
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```js
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const query = {
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color: {
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// property name to filter on
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equals: "mint", // operator to use and value to compare against
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},
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};
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```
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The above example demonstrates a simple query but you can get much more complex.
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### Operators
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| Operator | Description |
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| -------------------- | ----------------------------------------------------------------------------------------- |
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| `equals` | The value must be exactly equal. |
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| `not_equals` | The query will return all documents where the value is not equal. |
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| `greater_than` | For numeric or date-based fields. |
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| `greater_than_equal` | For numeric or date-based fields. |
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| `less_than` | For numeric or date-based fields. |
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| `less_than_equal` | For numeric or date-based fields. |
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| `like` | The value must partially match. |
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| `in` | The value must be found within the provided comma-delimited list of values. |
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| `not_in` | The value must NOT be within the provided comma-delimited list of values. |
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| `exists` | Only return documents where the value either exists (`true`) or does not exist (`false`). |
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<Banner type="success">
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<strong>Tip</strong>:<br />
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If you know your users will be querying on certain fields a lot, you can add <strong>
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index: true
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</strong> to a field's config which will speed up searches using that field immensely.
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</Banner>
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### And / Or Logic
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In addition to defining simple queries, you can join multiple queries together using simple AND / OR logic. Let's take the above `Post` collection for example and write a more complex query usnig AND / OR:
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```js
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const query = {
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or: [
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// array of OR conditions
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{
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color: {
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equals: "mint",
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},
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},
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{
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and: [
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// nested array of AND conditions
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{
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color: {
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equals: "white",
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},
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},
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{
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featured: {
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equals: false,
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},
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},
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],
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},
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],
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};
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```
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Written in plain English, if the above query were passed to a `find` operation, it would translate to finding posts where either the `color` is `mint` OR the `color` is `white` AND `featured` is set to false.
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### GraphQL Find Queries
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All GraphQL `find` queries support the `where` argument, which accepts queries exactly as detailed above.
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**For example:**
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```
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query {
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Posts(where: { color: { equals: mint } }) {
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docs {
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color
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}
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totalDocs
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}
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}
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```
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### REST Queries
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With the REST API, you can use the full power of Payload queries as well but they become a bit more unwieldy the more complex that they get.
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Simple queries are fairly straightforward to write. To understand the syntax, you need to understand how Express and similar languages would go about parsing a complex URL search string into a JSON object. For example, the above [simple query](#simple-queries) would be parsed into a string like this:
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**`https://localhost:3000/api/posts?where[color][equals]=mint`**
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This one isn't too bad, but more complex queries get unavoidably more difficult to write as query strings. For this reason, we recommend to use the extremely helpful and ubiquitous [`qs`](https://www.npmjs.com/package/qs) package to parse your JSON / object-formatted queries into query strings for use with the REST API.
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**For example, using fetch:**
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```js
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import qs from "qs";
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const query = {
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color: {
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equals: "mint",
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},
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// This query could be much more complex
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// and QS would handle it beautifully
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};
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const getPosts = async () => {
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const stringifiedQuery = qs.stringify(
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{
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where: query, // ensure that `qs` adds the `where` property, too!
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},
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{ addQueryPrefix: true }
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);
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const response = await fetch(
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`http://localhost:3000/api/posts${stringifiedQuery}`
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);
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// Continue to handle the response below...
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};
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```
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### Local API Queries
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The Local API's `find` operation accepts an object exactly how you write it. For example:
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```js
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const getPosts = async () => {
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const posts = await payload.find({
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collection: "posts",
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where: {
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color: {
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equals: "mint",
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},
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},
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});
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return posts;
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};
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```
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## Sort
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Payload `find` queries support a `sort` parameter through all APIs. Pass the `name` of a top-level field to sort by that field in ascending order. Prefix the name of the field with a minus symbol ("-") to sort in descending order.
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**REST example:**
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**`https://localhost:3000/api/posts?sort=-createdAt`**
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**GraphQL example:**
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```
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query {
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Posts(sort: "-createdAt") {
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docs {
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color
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}
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}
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}
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```
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**Local API example:**
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```js
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const getPosts = async () => {
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const posts = await payload.find({
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collection: "posts",
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sort: "-createdAt",
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});
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return posts;
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};
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```
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