Previously we were iterating over every entry in the page cache,
clearing the dirty flag from each page.
Reviewed-by: Pere Diaz Bou <pere-altea@homail.com>
Reviewed-by: Nikita Sivukhin (@sivukhin)
Closes#2988
closes#2240
Incrementally build the frame cache by reading the WAL file in chunks
instead of reading the entire file into memory.
<img width="247" height="254" alt="image" src="https://github.com/user-
attachments/assets/803645ab-002a-4efd-ac47-b2f690e63fc7" />
Reviewed-by: Pere Diaz Bou <pere-altea@homail.com>
Reviewed-by: Nikita Sivukhin (@sivukhin)
Closes#2986
This PR restructure JS packages and also adds support for OPFS for
tursodatabase in browser.
The new structure looks like this:
1. `@tursodatabase/database-common` - contains abstract JS code for
bindings which depends only on `NativeDB` interface and not on the
explicit native bindings
2. `@tursodatabase/database` - contains native bindings for the database
and re-use `core` package
3. `@tursodatabase/database-browser` - contains bindings for browser
(WASM + OPFS)
As OPFS sync API (which is the most performant one in the web) works
only in the web worker - this PR also make few operations async in order
to run them as `napi-rs` AsyncTask. The following operations became
async in `promise.ts` for node and browser: `pragma` / `exec` / `close`.
Also, as few code pathes during initialization are non-async - they
complicates integration of sync constructor in the browser with OPFS.
So, right now - turso support only `connect` method for browser in non-
memory mode.
Closes#2927
Convert `LEFT JOIN` to `INNER JOIN` when the result of `LEFT JOIN` can
never be different from the result of an `INNER JOIN`
This is useful because 1. it uses less instructions and 2. it allows for
join reordering due to inner join commutativity
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#2972
The MakeRecord instruction now accepts an optional affinity_str
parameter that applies column-specific type conversions before creating
records. When provided, the affinity string is applied
character-by-character to each register using the existing
apply_affinity_char() function, matching SQLite's behavior.
Fixes#2040Fixes#2041
only use `self.stack.top()` when we need to store `Arc<Page>` in struct
```sh
Execute `SELECT count() FROM users`/limbo_execute_select_count
time: [5.3733 µs 5.3801 µs 5.3881 µs]
change: [-34.047% -33.949% -33.851%] (p = 0.00 < 0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high severe
```
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#2962
Closes#2949
This fixes a special case of the behavior described in #2501 - the
special case is that WHERE conditions that were selected as seek
predicates for the left join table were not properly evaluated when the
right-hand-side table returned no match.
The test in commit 12d72d115588a9e744bdb22382998ba1bf9031ab should
demonstrate this adequately - this should return no rows, but on `main`
it returns `1|NULL`.
Closes#2955
Closes#2946
currently we always evaluate the binary expression, then coerce it to
zero/null with the `ZeroOrNull` instruction, and then emit a separate
jump.
this is fine for non-conditional expressions where we are using the
value itself (e.g. in a SELECT result column), but in conditionals we
don't care about that at all and just want to either jump or not jump.
so: try to keep the spirit of code reuse, but still have distinct
implementations for conditionals and non-conditionals.
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#2947
This adds the [`json_each`](https://sqlite.org/json1.html#the_json_each_
and_json_tree_table_valued_functions) TVF. Only the 1-arg version is
supported for now.
As suggested in the comments on this PR, I've also extended the virtual
table system to support internal TVF's, as opposed to extensions and
pragma TVF's.
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#2691
currently we always evaluate the binary expression, then coerce it
to zero/null with the `ZeroOrNull` instruction, and then emit a separate
jump.
this is fine for non-conditional expressions where we are using the value
itself (e.g. in a SELECT result column), but in conditionals we don't care
about that at all and just want to jump.
so: try to keep the spirit of code reuse, but still have distinct implementations
for conditionals and non-conditionals.