Implement very basic views using DBSP
This is just the bare minimum that I needed to convince myself that this
approach will work. The only views that we support are slices of the
main table: no aggregations, no joins, no projections.
* drop view is implemented.
* view population is implemented.
* deletes, inserts and updates are implemented.
much like indexes before, a flag must be passed to enable views.
Closes#2530
This is just the bare minimum that I needed to convince myself that this
approach will work. The only views that we support are slices of the
main table: no aggregations, no joins, no projections.
drop view is implemented.
view population is implemented.
deletes, inserts and updates are implemented.
much like indexes before, a flag must be passed to enable views.
This PR emit CDC entries as changes in `sqlite_schema` table for DDL
statements: `CREATE TABLE` / `CREATE INDEX` / etc.
The logic is a bit tricky as under the hood `turso` can do some implicit
DDL operations like:
1. Creating auto-indexes in case of `CREATE TABLE`
2. Deletion of all attached indices in case of `DROP TABLE`
```
turso> PRAGMA unstable_capture_data_changes_conn('full');
turso> CREATE TABLE t(x, y, z UNIQUE, q, PRIMARY KEY (x, y));
turso> CREATE INDEX t_xy ON t(x, y);
turso> CREATE TABLE q(a, b, c);
turso> ALTER TABLE q DROP COLUMN b;
turso> SELECT
change_id,
id,
change_type,
table_name,
bin_record_json_object(table_columns_json_array(table_name), before) AS before,
bin_record_json_object(table_columns_json_array(table_name), after) AS after
FROM turso_cdc;
┌───────────┬────┬─────────────┬───────────────┬─────────────────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐
│ change_id │ id │ change_type │ table_name │ before │ after │
├───────────┼────┼─────────────┼───────────────┼─────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────┤
│ 1 │ 2 │ 1 │ sqlite_schema │ │ {"type":"table","name":"t","tbl_name":"t","rootpage":3,"sql":"CREA… │
├───────────┼────┼─────────────┼───────────────┼─────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────┤
│ 2 │ 5 │ 1 │ sqlite_schema │ │ {"type":"index","name":"t_xy","tbl_name":"t","rootpage":6,"sql":"C… │
├───────────┼────┼─────────────┼───────────────┼─────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────┤
│ 3 │ 6 │ 1 │ sqlite_schema │ │ {"type":"table","name":"q","tbl_name":"q","rootpage":7,"sql":"CREA… │
├───────────┼────┼─────────────┼───────────────┼─────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────┤
│ 4 │ 6 │ 0 │ sqlite_schema │ {"type":"table","name":"q","tbl_name":"q","rootpage":7,"sql":"CREA… │ {"type":"table","name":"q","tbl_name":"q","rootpage":7,"sql":"CREA… │
└───────────┴────┴─────────────┴───────────────┴─────────────────────────────────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘
```
For now, CDC capture only all explicit operations and ignore all
implicit operations. The reasoning for that is that one use case for CDC
is to apply logical changes as is with simple SQL statements - but if
implicit operations will be logged to the CDC table too - we can have
hard times using simple SQL statement (for example, creation of
`autoindices` will always work; implicit deletion of indices for `DROP
TABLE` also can lead to some troubles and force us to is `DROP INDEX IF
EXISTS ...` statements + we will need to filter out autoindices in this
case too).
Also, to simplify PR, for now `DatabaseTape` from `turso-sync` package
just ignore all schema changes from CDC table.
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#2426
## Beef
Adds `AddColumn`, `DropColumn`, `RenameColumn`
## Details
- Previously the test was hardcoded to assume there's always 2 named
columns, so changed a bunch of things for this reason
- Still assumes the primary key column is always `id` and is never
renamed or dropped etc.
Closes#2434
Closes#1967
To support this I had to change how we did `epilogue` similarly to how
SQLite does it. SQLIte first declares a `beginWriteOperation` when some
statement is going to necessitate a Write Transaction. And as we now
need to pass the current schema cookie to `epilogue` it was easier to
call epilogue only in one location (like we do with prologue), and just
have each statement declare their intentions separately. This allows us
to not have to pass the Schema around just to do the epilogue. I believe
this is something that @jussisaurio would be interested in.
~Also had to disable the MVCC test, as it was extremely buggy for me.~
Just disabled reprepare statements for MVCC
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#2214
More changes. I want to avoid big PRs, so doing these changes in small
increments. I think in like 2 PRs after this one, I will be able make
the change effectively.
Closes#2400
- try_wal_watermark_read_page - try to read page from the DB with given WAL watermark value
- wal_changed_pages_after - return set of unique pages changed after watermark WAL position
closes: #2101
Refactors exec_concat_ws to skip null and blob arguments instead of
inserting separators for them. Also adds a fuzz test.
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#2338
SQLite behavior is: if another connection has modified the DB when a
read tx starts, it must clear its page cache due to the potentiality
of there being stale versions of pages in it.
In the future, we may want to do either:
1. a more granular invalidation logic for per-conn cache, or
2. a shared versioned page cache
But right now we must follow SQLite to make our current behavior not
corrupt data
