SQLite surprisingly supports this:
select sqlite_version(*);
this gets translated at the parser level to sqlite_version(), and it
works for all functions that take 0 arguments.
Let's be compatible with SQLite and support the same thing.
Closes#3630
SQLite surprisingly supports this:
select sqlite_version(*);
this gets translated at the parser level to sqlite_version(), and it
works for all functions that take 0 arguments.
Let's be compatible with SQLite and support the same thing.
Fixes the following problems with COLLATE:
- Fix: incorrectly used e.g. `x COLLATE NOCASE = 'fOo'` as index
constraint on an index whose column was not case-insensitively collated
- Fix: various ephemeral indexes (in GROUP BY, ORDER BY, DISTINCT) and
subqueries did not retain proper collation information of columns
- Fix: collation of a given expression was not determined properly
according to SQLite's rules
Adds TCL tests and fuzz test
Closes#3476Closes#1524Closes#3305
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#3538
Improve serialization for DBSP views.
The serialization code was written organically, without much forward
thinking about stability as we evolved the table and operator format.
Now that this is done, we are at at point where we can actually make it
suck less and take a considerable step towards making this production
ready.
We also add a simple version check (in the table name, because that is
much easier than reading contents in parse_schema_row) to prevent views
to be used if we had to do anything to evolve the format of the circuit
(including the operators)
Closes#3351
as we make changes to the way materialized views are generated (think
adding new operators, changing the id of existing operators, etc), we
will need to persist the topology of the circuit itself. This is a
change that I believe to be premature. For now, it is enough to reserve
the first operator id for it, and add a version number to the table
name. We can just detect that something changed, and ask the user to
drop the view. We can get away with it due to the fact that the views
are experimental.
fixes#1976
and #1605
```zsh
turso> DROP TABLE IF EXISTS t;
CREATE TABLE t (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT
);
turso> INSERT INTO t (name) VALUES ('A'); SELECT * FROM sqlite_sequence;
┌──────┬─────┐
│ name │ seq │
├──────┼─────┤
│ t │ 1 │
└──────┴─────┘
turso> DROP TABLE IF EXISTS t;
CREATE TABLE t (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT
);
turso> INSERT INTO t (name) VALUES ('A'); SELECT * FROM sqlite_sequence;
┌──────┬─────┐
│ name │ seq │
├──────┼─────┤
│ t │ 1 │
└──────┴─────┘
turso> INSERT INTO t (name) VALUES ('A'); SELECT * FROM sqlite_sequence;
┌──────┬─────┐
│ name │ seq │
├──────┼─────┤
│ t │ 2 │
└──────┴─────┘
turso>
```
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#2983
In e.g. `SELECT x AS y, y AS x FROM t ORDER BY x;`, the `x` in the
`ORDER BY` should reference t.y, which has been aliased as `x` for this
query. The same goes for GROUP BY, JOIN ON etc. but NOT for WHERE.
Previously we had wrong precedence in `bind_and_rewrite_expr`.
Previously we were rewriting/traversing the AST in a couple different
places, each of these added kinda ad-hoc as we needed them. This
attempts to do the binding of column references as well as the rewriting
of anonymous `Expr::Variable` -> `__param_N` that we use to maintain the
order of bound variables, also normalizes the Qualified Name's.
Also we previously weren't accepting Variable (or at least they wouldn't
work) in places like `LIMIT ? OFFSET ?`, which this PR adds.
I kinda want to keep refactoring translation a bit, and try to break
plan building up into more easy-to-digest chunks.. but I will resist the
urge right now as it's definitely not high priority pre-beta
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#3210
Our code for view needs to extract the list of columns used in the view.
We currently extract only from "the base table", but once we have joins,
we need a more complex structure, that keeps the mapping of
(tables, columns).
This actually affects both views and materialized views: for views, the
queries with joins work just fine, because views are just aliases for
a query. But the list of columns returned by pragma table_info on the
view is incorrect. We add a test to make sure it is fixed.
For materialized views, we add extensive tests to make sure that the
columns are extracted correctly.
Adds initial support for window functions. For now, only existing
aggregate functions can be used as window functions—no specialized
window-specific functions are supported yet.
Currently, only the default frame definition is implemented:
RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW EXCLUDE NO OTHERS.
indexes with the naming scheme "sqlite_autoindex_<tblname>_<number>"
are automatically created when a table is created with UNIQUE or
PRIMARY KEY definitions.
these indexes must map to the table definition SQL in definition order,
i.e. sqlite_autoindex_foo_1 must be the first instance of UNIQUE or
PRIMARY KEY and so on.
this commit fixes our autoindex creation / parsing so that this invariant
is upheld.
This fairly long commit implements persistence for materialized view.
It is hard to split because of all the interdependencies between components,
so it is a one big thing. This commit message will at least try to go into
details about the basic architecture.
Materialized Views as tables
============================
Materialized views are now a normal table - whereas before they were a virtual
table. By making a materialized view a table, we can reuse all the
infrastructure for dealing with tables (cursors, etc).
One of the advantages of doing this is that we can create indexes on view
columns. Later, we should also be able to write those views to separate files
with ATTACH write.
Materialized Views as Zsets
===========================
The contents of the table are a ZSet: rowid, values, weight. Readers will
notice that because of this, the usage of the ZSet data structure dwindles
throughout the codebase. The main difference between our materialized ZSet and
the standard DBSP ZSet, is that obviously ours is backed by a BTree, not a Hash
(since SQLite tables are BTrees)
Aggregator State
================
In DBSP, the aggregator nodes also have state. To store that state, there is a
second table. The table holds all aggregators in the view, and there is one
table per view. That is __turso_internal_dbsp_state_{view_name}. The format of
that table is similar to a ZSet: rowid, serialized_values, weight. We serialize
the values because there will be many aggregators in the table. We can't rely
on a particular format for the values.
The Materialized View Cursor
============================
Reading from a Materialized View essentially means reading from the persisted
ZSet, and enhancing that with data that exists within the transaction.
Transaction data is ephemeral, so we do not materialize this anywhere: we have
a carefully crafted implementation of seek that takes care of merging weights
and stitching the two sets together.
This PR unifies the logic for resolving aggregate functions. Previously,
bare aggregates (e.g. `SELECT max(a) FROM t1`) and aggregates wrapped in
expressions (e.g. `SELECT max(a) + 1 FROM t1`) were handled differently,
which led to duplicated code. Now both cases are resolved consistently.
The added benchmark shows a small improvement:
```
Prepare `SELECT first_name, last_name, state, city, age + 10, LENGTH(email), UPPER(first_name), LOWE...
time: [59.791 µs 59.898 µs 60.006 µs]
change: [-7.7090% -7.2760% -6.8242%] (p = 0.00 < 0.05)
Performance has improved.
Found 10 outliers among 100 measurements (10.00%)
8 (8.00%) high mild
2 (2.00%) high severe
```
For an existing benchmark, no change:
```
Prepare `SELECT first_name, count(1) FROM users GROUP BY first_name HAVING count(1) > 1 ORDER BY cou...
time: [11.895 µs 11.913 µs 11.931 µs]
change: [-0.2545% +0.2426% +0.6960%] (p = 0.34 > 0.05)
No change in performance detected.
Found 8 outliers among 100 measurements (8.00%)
1 (1.00%) low severe
2 (2.00%) high mild
5 (5.00%) high severe
```
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Reviewed-by: Preston Thorpe <preston@turso.tech>
Closes#2884
Aggregate functions cannot be nested, and this is validated during the
translation of aggregate function arguments. Therefore, traversing their
child expressions is unnecessary.
Handled in the same way as in `prepare_one_select_plan` for bare
function calls. In `prepare_one_select_plan`, however, resolving
external scalar functions is performed unnecessarily twice.
This commit consolidates the creation of the Aggregate struct, which was
previously handled differently in `prepare_one_select_plan` and
`resolve_aggregates`. That discrepancy caused inconsistent handling of
zero-argument aggregates.
The queries added in the new tests would previously trigger a panic.
