feat(node): add read_consistency_interval to Node and Rust (#1002)

This PR adds the same consistency semantics as was added in #828. It
*does not* add the same lazy-loading of tables, since that breaks some
existing tests.

This closes #998.

---------

Co-authored-by: Weston Pace <weston.pace@gmail.com>
This commit is contained in:
Will Jones
2024-02-22 15:04:30 -08:00
committed by GitHub
parent 677b7c1fcc
commit 3aa0c40168
19 changed files with 735 additions and 1127 deletions

View File

@@ -636,6 +636,70 @@ The `values` parameter is used to provide the new values for the columns as lite
When rows are updated, they are moved out of the index. The row will still show up in ANN queries, but the query will not be as fast as it would be if the row was in the index. If you update a large proportion of rows, consider rebuilding the index afterwards.
## Consistency
In LanceDB OSS, users can set the `read_consistency_interval` parameter on connections to achieve different levels of read consistency. This parameter determines how frequently the database synchronizes with the underlying storage system to check for updates made by other processes. If another process updates a table, the database will not see the changes until the next synchronization.
There are three possible settings for `read_consistency_interval`:
1. **Unset (default)**: The database does not check for updates to tables made by other processes. This provides the best query performance, but means that clients may not see the most up-to-date data. This setting is suitable for applications where the data does not change during the lifetime of the table reference.
2. **Zero seconds (Strong consistency)**: The database checks for updates on every read. This provides the strongest consistency guarantees, ensuring that all clients see the latest committed data. However, it has the most overhead. This setting is suitable when consistency matters more than having high QPS.
3. **Custom interval (Eventual consistency)**: The database checks for updates at a custom interval, such as every 5 seconds. This provides eventual consistency, allowing for some lag between write and read operations. Performance wise, this is a middle ground between strong consistency and no consistency check. This setting is suitable for applications where immediate consistency is not critical, but clients should see updated data eventually.
!!! tip "Consistency in LanceDB Cloud"
This is only tune-able in LanceDB OSS. In LanceDB Cloud, readers are always eventually consistent.
=== "Python"
To set strong consistency, use `timedelta(0)`:
```python
from datetime import timedelta
db = lancedb.connect("./.lancedb",. read_consistency_interval=timedelta(0))
table = db.open_table("my_table")
```
For eventual consistency, use a custom `timedelta`:
```python
from datetime import timedelta
db = lancedb.connect("./.lancedb", read_consistency_interval=timedelta(seconds=5))
table = db.open_table("my_table")
```
By default, a `Table` will never check for updates from other writers. To manually check for updates you can use `checkout_latest`:
```python
db = lancedb.connect("./.lancedb")
table = db.open_table("my_table")
# (Other writes happen to my_table from another process)
# Check for updates
table.checkout_latest()
```
=== "JavaScript/Typescript"
To set strong consistency, use `0`:
```javascript
const db = await lancedb.connect({ uri: "./.lancedb", readConsistencyInterval: 0 });
const table = await db.openTable("my_table");
```
For eventual consistency, specify the update interval as seconds:
```javascript
const db = await lancedb.connect({ uri: "./.lancedb", readConsistencyInterval: 5 });
const table = await db.openTable("my_table");
```
<!-- Node doesn't yet support the version time travel: https://github.com/lancedb/lancedb/issues/1007
Once it does, we can show manual consistency check for Node as well.
-->
## What's next?
Learn the best practices on creating an ANN index and getting the most out of it.