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Angelico
fda3aa9419
The following were done: - Complete delete.mdx and patch.mdx. - (Boyscout) Change one sentence in about.md. - Reroute internal links due to the restructuring of the library section in the previous commit.
122 lines
2.7 KiB
Plaintext
122 lines
2.7 KiB
Plaintext
---
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id: patch
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title: 'Update Rows'
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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We will be using these tables as reference for our examples:
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```json
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{
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"companies": [
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{ "Id": 1, "name": "Pied Piper", "employeeCount": 10 },
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{ "Id": 2, "name": "Hooli", "employeeCount": 1000 },
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{ "Id": 3, "name": "Yao Net", "employeeCount": 100 },
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{ "Id": 4, "name": "See Food App", "employeeCount": null }
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],
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}
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```
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<Tabs
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defaultValue="nodeJs"
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values={[
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{ label: 'Node.js', value: 'nodeJs', },
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{ label: 'Python', value: 'py', },
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]
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}>
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<TabItem value="nodeJs">
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```js
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supabase.patch(tableName, data, options?)
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```
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Given the `options?` set (if any), this **asynchronously** and partially updates all rows from the specified `tableName` in your database
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with the specified `data`.
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</TabItem>
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<TabItem value="py">
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```py
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# TODO
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```
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</TabItem>
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</Tabs>
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<Tabs
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defaultValue="nodeJs"
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values={[
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{ label: 'Node.js', value: 'nodeJs', },
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{ label: 'Python', value: 'py', },
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]
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}>
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<TabItem value="nodeJs">
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```js
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supabase.put(tableName, data, options?)
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```
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Given the `options?` set (if any), this **asynchronously** and fully replaces all rows from the specified `tableName` in your database
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with the specified `data`.
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</TabItem>
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<TabItem value="py">
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```py
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# TODO
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```
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</TabItem>
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</Tabs>
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## Method arguments
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Arguments for both types of update are the same.
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### tableName
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`required` string
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Name of table in the database that will be updated.
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### data
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`required` array
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Array of rows of type `object` which contain information to be updated into the selected table.
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### options
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`optional` object
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All available options and examples it their usage can be found [here](../library/options).
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## Additional filtering
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To specifically indicate which resources are to be updated, additional filters can be used.
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They can be found [here](../library/filters).
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## Example
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### Mass update
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Updating employeeCount for all companies.
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```js
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supabase.patch("companies", { employeeCount: 50 })
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```
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The following will be returned with the status code `200 OK`:
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```json
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[
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{ "Id": 1, "name": "Pied Piper", "employeeCount": 50 },
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{ "Id": 2, "name": "Hooli", "employeeCount": 50 },
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{ "Id": 3, "name": "Yao Net", "employeeCount": 50 },
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{ "Id": 4, "name": "See Food App", "employeeCount": 50 }
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]
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```
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### Using filters
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Updating employeeCount for companies where its columnName "name" is equal to "See Food App".
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```js
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supabase.patch("companies", { employeeCount: 50 }).eq("name", "See Food App")
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```
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The following will be returned with the status code `200 OK`:
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```json
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[
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{ "Id": 4, "name": "See Food App", "employeeCount": 50 }
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]
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```
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## Responses
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Aside from the status code `200 OK`, other common responses can be found [here](../library/responses). |