WAL insert API introduced in the #2231 works incorrectly as it never
mark inserted pages as dirty.
This PR fixes this issue and also add simple fuzz test which fails
without fixes.
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#2245
# Fix SUM aggregate function for mixed types
Fixes#2133
The SUM aggregate function was returning incorrect results when
processing tables with mixed numeric and non-numeric values. According
to SQLite documentation:
> "If any input to sum() is neither an integer nor a NULL, then sum()
returns a floating point value"
[*](https://sqlite.org/lang_aggfunc.html)
Now both SQLite and Turso yield the same output of 44.0.
--
I modified `Sum` to increment only for numeric values, skipping non-
numeric values. However, if we have mixed numeric values or non-numeric
values, we return a float output. Added a flag to keep track of it.
as pointed out by @FHaggs , If there are no non-NULL input rows then
sum() returns NULL but total() returns 0.0. I decided to include it in
this PR as well. Empty was such a natural test case.
Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>
Closes#2182
`BTreeTable::to_sql` makes us incompatible with SQLite by losing e.g. the original whitespace provided during the CREATE TABLE command.
For now let's fix our tests by regex-replacing every CREATE TABLE in
the entire repo to have exactly 1 space after the table name in the
CREATE TABLE statement.
The original `rowid_seek_fuzz` test had a design flaw: it inserted contiguous
integers, which prevented issues such as the one fixed in #2065 from being
discovered.
Further, the test has at some point also been neutered a bit by only inserting
100 values which makes the btree very small, hiding interactions between interior
pages and neighboring leaf pages.
This should not be merged until #2065 is merged.
Makes it easier to test the feature:
```
$ cargo run -- --experimental-indexes
Limbo v0.0.22
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database
limbo> CREATE TABLE t(x);
limbo> CREATE INDEX t_idx ON t(x);
limbo> DROP INDEX t_idx;
```
It is easy to chalk this fuzzer issue to erratic floating point
behaviour, but this is not the case here.
Currently, `exec_math_log` calculates log with arbitrary bases by using
the following formula: `log_a(b) ~= ln(b) / ln(a)`. This calculation is
an approximation with lots of its floating point precision lost to
dividing the results of natural logarithms.
By using the specialized versions of the log functions (`log2` &
`log10`), we can avoid this loss of precision.
SQLite also uses these specialized log functions when possible, so it
doesn't hurt to do the same thing when aiming for parity.
