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3aab4e6
First set up updates
benitav Feb 4, 2026
5da1c69
Redundant description
benitav Feb 4, 2026
f269dd3
Sync Streams only in section heading
benitav Feb 4, 2026
608bee8
Update Early alpha -> beta references
benitav Feb 4, 2026
cff35dd
Sync streams section
benitav Feb 5, 2026
9ab1686
Sync Streams section with new features
benitav Feb 5, 2026
e176dab
Polish
benitav Feb 5, 2026
226ba5e
sync_rules.yaml to sync_config.yaml
benitav Feb 5, 2026
cb64f6b
Merge branch 'main' into sync-stream-beta
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Polish
benitav Feb 5, 2026
189e3ed
Merge branch 'sync-stream-beta' of github.com:powersync-ja/powersync-…
benitav Feb 5, 2026
8cf81a4
Bring Sync Rules back into Setup guide
benitav Feb 5, 2026
86382f0
Polish
benitav Feb 5, 2026
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8dd0c19
Merge branch 'main' into sync-stream-beta
benitav Feb 10, 2026
0fddf81
Corrected Swift examples
benitav Feb 10, 2026
a67adf0
Merge branch 'main' into sync-stream-beta
benitav Feb 16, 2026
8cf21ef
Polish
Feb 17, 2026
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72bbb23
Merge branch 'main' into sync-stream-beta
benitav Feb 17, 2026
8eb1d62
Correction regarding _id with MongoDB
benitav Feb 17, 2026
eb29cf2
Merge branch 'main' into sync-stream-beta
benitav Feb 18, 2026
b2dab68
Polish
Feb 18, 2026
e96452d
Merge branch 'sync-stream-beta' of github.com:powersync-ja/powersync-…
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typo
benitav Feb 19, 2026
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14f4c43
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benitav Feb 19, 2026
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benitav Feb 19, 2026
efbe0d9
More specific supported SQL and restrictions
benitav Feb 19, 2026
42dc8d2
Document new error codes
benitav Feb 19, 2026
7aa695d
Merge branch 'main' into sync-stream-beta
benitav Feb 19, 2026
93c881c
PR feedback
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Document between and case, more polish on Supported SQL
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110 changes: 89 additions & 21 deletions architecture/client-architecture.mdx
Original file line number Diff line number Diff line change
@@ -1,13 +1,14 @@
---
title: "Client Architecture"
description: Learn how the PowerSync Client SDK manages connections, authentication, and the local SQLite database.
---

The [PowerSync Client SDK](/client-sdks/overview) is embedded into a software application.

The Client SDK manages the client connection to the [PowerSync Service](/architecture/powersync-service), authenticating via a [JWT](/configuration/auth/overview). The connection between the client and the PowerSync Service is encrypted, and either uses HTTP streams or WebSockets (depending on the specific [Client SDK](/client-sdks/overview) being used)
The Client SDK manages the client connection to your [PowerSync Service](/architecture/powersync-service) instance, authenticating via a [JWT](/configuration/auth/overview). The connection between the client and the PowerSync Service is encrypted, and either uses HTTP streams or WebSockets (depending on the specific [Client SDK](/client-sdks/overview) being used)


The Client SDK provides access to a managed [SQLite](/resources/faq#why-does-powersync-use-sqlite-as-the-client-side-database) database that is automatically kept in sync with the backend source database via the PowerSync Service, based on the [Sync Rules](/sync/rules/overview) that are active on the PowerSync Service instance.
The Client SDK provides access to a managed [SQLite](/resources/faq#why-does-powersync-use-sqlite-as-the-client-side-database) database that is automatically kept in sync with the backend source database via the PowerSync Service, based on the [Sync Streams](/sync/streams/overview) (or legacy [Sync Rules](/sync/rules/overview)) that are active on the PowerSync Service instance.

<Frame>
<img src="/images/architecture/powersync-docs-diagram-client-architecture-002.png" />
Expand All @@ -16,39 +17,106 @@

## Reading Data (SQLite)

App clients always read data from the client-side [SQLite](https://sqlite.org/) database. When the user is online and the app is connected to the PowerSync Service, changes on the source database reflect in real-time in the SQLite database, and [Live Queries / Watch Queries](/client-sdks/watch-queries) allows the app UI to have real-time reactivity too.
App clients always read data from the client-side [SQLite](https://sqlite.org/) database, regardless of whether the user is online or offline.

When the user is online and the app is connected to the PowerSync Service, changes on the source database reflect in real-time in the SQLite database.

[Live Queries / Watch Queries](/client-sdks/watch-queries) allows the app UI to have real-time reactivity too.


## Client-Side Schema and SQLite Database Structure

When you implement the PowerSync Client SDK in your application, you need to define a [client-side schema](/intro/setup-guide#define-your-client-side-schema) with tables, columns and indexes that correspond to your [Sync Rules](/sync/rules/overview). You provide this schema when the PowerSync-managed SQLite database is [instantiated](/intro/setup-guide#instantiate-the-powersync-database).
When you implement the PowerSync Client SDK in your application, you need to define a [client-side schema](/intro/setup-guide#define-your-client-side-schema) with tables, columns and indexes that correspond to your [Sync Streams](/sync/streams/overview) (or legacy [Sync Rules](/sync/rules/overview)). You provide this schema when the PowerSync-managed SQLite database is [instantiated](/intro/setup-guide#instantiate-the-powersync-database).

The tables defined in your client-side schema are usable in SQL queries as if they were actual SQLite tables, while in reality they are created as _SQLite views_ based on the schemaless JSON data being synced (see [PowerSync Protocol](/architecture/powersync-protocol)).


The PowerSync Client SDK automatically maintains the following tables in the SQLite database:

1. `ps_data__<table>` - This contains the data for each "table", in JSON format. Since JSON is being used, this table's schema does not change when columns are added, removed or changed in the Sync Rules and client-side schema.

2. `ps_data_local__<table>` - Same as the previous point, but for [local-only](/client-sdks/advanced/local-only-usage) tables.

3. `<table>` (`VIEW`) - These are views on the above `ps_data` tables, with each defined column in the client-side schema extracted from the JSON. For example, a `description` text column would be `CAST(data ->> '$.description' as TEXT)`.

4. `ps_untyped` - Any synced table that does is not defined in the client-side schema is placed here. If the table is added to the schema at a later point, the data is then migrated to `ps_data__<table>`.

5. `ps_oplog` - This is operation history data as received from the [PowerSync Service](/architecture/powersync-service), grouped per bucket.

6. `ps_crud` - The client-side upload queue (see [Writing Data](#writing-data) below)

7. `ps_buckets` - A small amount of metadata for each bucket.

8. `ps_migrations` - Table keeping track of Client SDK schema migrations.
<table>
<thead>
<tr>
<th width="25%">
Table
</th>
<th>
Description
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
`ps_data__<table>`
</td>
<td>
This contains the data for each "table", in JSON format. Since JSON is being used, this table's schema does not change when columns are added, removed or changed in the Sync Streams (or legacy Sync Rules) and client-side schema.
</td>
</tr>
<tr>
<td>
`ps_data_local__<table>`
</td>
<td>
Same as the previous point, but for [local-only](/client-sdks/advanced/local-only-usage) tables.
</td>
</tr>
<tr>
<td>
`<table>` (`VIEW`)
</td>
<td>
These are views on the above `ps_data` tables, with each defined column in the client-side schema extracted from the JSON. For example, a `description` text column would be `CAST(data ->> '$.description' as TEXT)`.
</td>
</tr>
<tr>
<td>
`ps_untyped`
</td>
<td>
Any synced table that is not defined in the client-side schema is placed here. If the table is added to the schema at a later point, the data is then migrated to `ps_data__<table>`.
</td>
</tr>
<tr>
<td>
`ps_oplog`
</td>
<td>
This is the operation history data as received from the [PowerSync Service](/architecture/powersync-service), grouped per bucket.
</td>
</tr>
<tr>
<td>
`ps_crud`
</td>
<td>
The client-side upload queue (see [Writing Data](#writing-data-via-sqlite-database-and-upload-queue) below)
</td>
</tr>
<tr>
<td>
`ps_buckets`
</td>
<td>
A small amount of metadata for each bucket.
</td>
</tr>
<tr>
<td>
`ps_migrations`
</td>
<td>
Table keeping track of Client SDK schema migrations.
</td>
</tr>
</tbody>
</table>

Most rows will be present in at least two tables — the `ps_data__<table>` table, and in `ps_oplog`.

The copy of the row in `ps_oplog` may be newer than the one in `ps_data__<table>`. This is because of the checkpoint system in PowerSync that gives the system its consistency properties. When a full [checkpoint](/architecture/consistency) has been downloaded, data is copied over from `ps_oplog` to the individual `ps_data__<table>` tables.

It is possible for different [buckets](/architecture/powersync-service#bucket-system) in Sync Rules to include overlapping data (for example, if multiple buckets query data from the same table). If rows with the same table and ID have been synced via multiple buckets, it may be present multiple times in `ps_oplog`, but only one will be preserved in the `ps_data__<table>` table (the one with the highest `op_id`).
It is possible for different [buckets](/architecture/powersync-service#bucket-system) to include overlapping data (for example, if multiple buckets contain data from the same table). If rows with the same table and ID have been synced via multiple buckets, it may be present multiple times in `ps_oplog`, but only one will be preserved in the `ps_data__<table>` table (the one with the highest `op_id`).


<Note>
Expand All @@ -58,7 +126,7 @@

## Writing Data (via SQLite Database and Upload Queue)

Any mutations on the SQLite database, namely updates, deletes and inserts, are immediately reflected in the SQLite database, and also also automatically placed into an **upload queue** by the Client SDK.

Check warning on line 129 in architecture/client-architecture.mdx

View check run for this annotation

Mintlify / Mintlify Validation (powersync) - vale-spellcheck

architecture/client-architecture.mdx#L129

'also' is repeated!

The upload queue is a blocking [FIFO](https://en.wikipedia.org/wiki/FIFO_%28computing_and_electronics%29) queue.

Expand All @@ -68,7 +136,7 @@

The reason why we designed PowerSync this way is that it allows you to apply your own backend business logic, validations and authorization to any mutations going to your source database.

The PowerSync Client SDK automatically takes care of network failures and retries. If processing the upload queue fails (e.g. because the user is offline), it is automatically retried.
The PowerSync Client SDK automatically takes care of network failures and retries. If processing mutations in the upload queue fails (e.g. because the user is offline), it is automatically retried.

<Frame>
<img src="/images/architecture/powersync-docs-diagram-client-architecture-003.png" />
Expand Down
3 changes: 2 additions & 1 deletion architecture/powersync-protocol.mdx
Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
---
title: "PowerSync Protocol"
description: Overview of the sync protocol used between PowerSync clients and the PowerSync Service for efficient delta syncing.
---

This contains a broad overview of the sync protocol used between PowerSync clients and the [PowerSync Service](/architecture/powersync-service).
Expand All @@ -25,7 +26,7 @@ All synced data is grouped into [buckets](/architecture/powersync-service#bucket
Each bucket keeps an ordered list of changes to rows within the bucket (operation history) — generally as `PUT` or `REMOVE` operations.

* `PUT` is the equivalent of `INSERT OR REPLACE`
* `REMOVE` is slightly different from `DELETE`: a row is only deleted from the client if it has been removed from <Tooltip tip="It is possible for different buckets in Sync Rules to include overlapping data (for example, if multiple buckets query data from the same table). So the same row may be present in more than one bucket.">_all_ buckets</Tooltip> synced to the client.
* `REMOVE` is slightly different from `DELETE`: a row is only deleted from the client if it has been removed from <Tooltip tip="It is possible for different buckets to include overlapping data (for example, if multiple buckets contain data from the same table). So the same row may be present in more than one bucket.">_all_ buckets</Tooltip> synced to the client.

<Note>
As a practical example of how buckets manifest themselves, let's say you have a bucket named `user_todo_lists` that contains the to-do lists for a user, and that bucket utilizes a `user_id` parameter (which will be obtained from the JWT). Now let's say users with IDs `A` and `B` exist in the source database. PowerSync will then replicate data from the source database and create individual buckets with bucket IDs `user_todo_lists["A"]` and `user_todo_lists["B"]`.
Expand Down
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