RE: #3970
That Column::new having 14 boolean arguments was not great.
Also this removes the unneeded `parent_cols: Vec<String>` from
`ResolvedFkRef`
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#3973
I didn't end up having to use the RowSet instructions for this after
all. Maybe there's some edge cases where it's required -- sqlite uses
ephemeral tables or rowsets in all RETURNING handling, but I haven't
found a need to do that yet.
Note: contains 1000 lines of TCL tests generated by cursor :] runtime
changes are smaller and this actually deletes code in aggregate.
---
Main change is to support arbitrary expressions in RETURNING instead of
a specialcased subset, but also e.g. disallow returning TABLE.* which is
illegal syntax in SQLite.
Main idea is we add the columns of the target table (the table affected
by INSERT/UPDATE/DELETE) into `expr_to_reg_cache`) and then just
translate the RETURNING expressions as normal
Closes#3942
This PR implements basic support for partial sync. Right now the scope
is limited to only `:memory:` IO and later will be properly expanded to
the file based IO later.
The main addition is `PartialDatabaseStorage` which make request to the
remote server for missing local pages on demand.
The main change is that now tursodatabase JS bindings accept optional
"external" IO event loop which in case of sync will drive `ProtocolIo`
internal work associated with remote page fetching tasks.
Closes#3931
Currently RETURNING was a bit of a hack since it had a special
translate_expr_for_returning() function that only supported a subset
of expressions.
Instead, we can store the columns of the target table of the INSERT/UPDATE/DELETE
we are RETURNING from in `Resolver::expr_to_reg_cache` and make those columns point
to the registers that hold the OLD/NEW column values (depending on the operation).
# Fix: Clean up DBSP state table when dropping materialized views
## Problem
When dropping a materialized view, the internal DBSP state table (e.g.,
`__turso_internal_dbsp_state_v1_view_name`) and its automatic primary
key index were not being properly cleaned up. This caused two issues:
1. **Persistent schema entries**: The DBSP table and index entries
remained in `sqlite_schema` after dropping the view
2. **In-memory schema inconsistency**: The DBSP table remained in the
in-memory schema's `tables` HashMap, causing "table already exists"
errors when trying to recreate a materialized view with the same name
## Root Cause
The issue had two parts:
1. **Missing sqlite_schema cleanup**: The `translate_drop_view` function
deleted the view entry from `sqlite_schema` but didn't delete the
associated DBSP state table and index entries
2. **Missing in-memory schema cleanup**: The `remove_view` function
removed the materialized view from the in-memory schema but didn't
remove the DBSP state table and its indexes
## Solution
### Changes in `core/translate/view.rs`
- Added a second pass loop in `translate_drop_view` to scan
`sqlite_schema` and delete DBSP table and index entries
- The loop checks for entries matching the DBSP table name pattern
(`__turso_internal_dbsp_state_v{version}_{view_name}`) and the automatic
index name pattern (`sqlite_autoindex___turso_internal_dbsp_state_v{vers
ion}_{view_name}_1`)
- Registers for comparison values are allocated outside the loop for
efficiency
- Column registers are reused across loop iterations
### Changes in `core/schema.rs`
- Updated `remove_view` to also remove the DBSP state table and its
indexes from the in-memory schema's `tables` HashMap and `indexes`
collection
- This ensures consistency between the persistent schema
(`sqlite_schema`) and the in-memory schema
### Tests Added
Added two new test cases in `testing/materialized_views.test`:
1. **`matview-drop-cleans-up-dbsp-table`**: Explicitly verifies that
after dropping a materialized view:
- The view entry is removed from `sqlite_schema`
- The DBSP state table entry is removed from `sqlite_schema`
- The DBSP state index entry is removed from `sqlite_schema`
2. **`matview-recreate-after-drop`**: Verifies that a materialized view
can be successfully recreated after being dropped, which implicitly
tests that all underlying resources (including DBSP tables) are properly
cleaned up
## Testing
- All existing materialized view tests pass
- New tests specifically verify the cleanup behavior
- Manual testing confirms that materialized views can be dropped and
recreated without errors
## Related
This fix ensures that materialized views can be safely dropped and
recreated, resolving issues where the DBSP state table would persist and
cause conflicts.
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#3928
## What
Rowsets are used in SQLite for two purposes:
1. for membership tests on a set of `i64`s,
2. for in-order iteration of a set of `i64`s,
Both in cases where we can just use rowids (which are `i64`) instead of
building an entire ephemeral btree from a table's contents.
For example, in cases where a `DELETE FROM tbl WHERE ...` is performed
on a table that has any `BEFORE DELETE` triggers, SQLite collects the
table's rowids into a RowSet before actually performing the deletion.
This is similar to how an UPDATE that modifies rowids (or the index used
to iterate the UPDATE loop) will first collect the rows into an
ephemeral index, and same with `INSERT INTO ... SELECT`.
## Details
RowSet uses a "batch" concept where insertions of a given batch must be
guaranteed by caller to contain no duplicates and will be pushed into a
vector for O(1). When a new batch is started, the previous batch is
folded into a `BTreeSet` so that membership tests can be performed in
O(logn). As far as I can tell, the "in-order iteration" use case doesn't
use this batch logic at all.
## AI disclosure
This entire PR description was written by me - no AIs were harmed in the
production of it. However, the code itself was mostly vibecoded using
two agents in Cursor:
- Composer 1: given the SQLite opcode documentation and rowset.c source
code, and asked to implement the VDBE instructions and the RowSet
module.
- GPT-5: given the same SQLite docs and source code, and asked to review
Composer 1's work and write feedback into a separate markdown file.
This loop was run for roughly 4-5 iterations, where each time GPT-5's
feedback was given to Composer 1, until GPT-5 found nothing to comment
anymore.
After this, I instructed Composer 1 to improve the documentation to be
less stupid.
After that, I made a manual editing pass over the runtime code to e.g.
change boolean flags to a `RowSetMode` enum to make clearer that the
rowset has two distinct mutually exclusive purposes (membership tests
and in-order iteration), plus cleaned up some other dumb shit and added
comments.
I am still not sure if this saved time or not.
Closes#3938
When building text values, we could not pass ownership of newly created
strings, which meant a lot of the times we were double cloning strings,
one to transform, and one to build the Value
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#3932
Right now tursodb treat parameters/variable as non-constant. But
actually they are constant in a sense that parameters/variables has
fixed value during query execution which never changes.
This PR makes tursodb to treat parameters as constant and evaluate
expressions related to them only once.
One real-world scenario where this can be helpful is vector search
query:
```sql
SELECT id, vector_distance_jaccard(embedding, vector32_sparse(?)) as distance
FROM vectors
ORDER BY distance ASC
LIMIT ?
```
Without constant optimization, `vector32_sparse` function will be
executed for every row - which is very inefficient and query can be 100x
slower due to that (but there is no need to evaluate this function for
every query as we can transform text representation to binary only once)
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#3936
