The handling of filesystem level errors was basically non-existing or
consisting of `VERIFY_NOT_REACHED` assertions. Addressed this by
* Adding `open` methods to `Heap` and `Database` which return errors.
* Changing the interface of methods of these classes and clients
downstream to propagate these errors.
The constructors of `Heap` and `Database` don't open the underlying
filesystem file anymore.
The SQL statement handlers return an `SQLErrorCode::InternalError`
error code if an error comes back from the lower levels. Note that some
of these errors are things like duplicate index entry errors that should
be caught before the SQL layer attempts to actually update the database.
Added tests to catch attempts to open weird or non-existent files as
databases.
Finally, in between me writing this patch and submitting the PR the
AK::Result<Foo, Bar> template got deprecated in favour of ErrorOr<Foo>.
This resulted in more busywork.
Our existing implementation did not check the element type of the other
pointer in the constructors and move assignment operators. This meant
that some operations that would require explicit casting on raw pointers
were done implicitly, such as:
- downcasting a base class to a derived class (e.g. `Kernel::Inode` =>
`Kernel::ProcFSDirectoryInode` in Kernel/ProcFS.cpp),
- casting to an unrelated type (e.g. `Promise<bool>` => `Promise<Empty>`
in LibIMAP/Client.cpp)
This, of course, allows gross violations of the type system, and makes
the need to type-check less obvious before downcasting. Luckily, while
adding the `static_ptr_cast`s, only two truly incorrect usages were
found; in the other instances, our casts just needed to be made
explicit.
The implemtation of the Value class was based on lambda member variables
implementing type-dependent behaviour. This was done to ensure that
Values can be used as stack-only objects; the simplest alternative,
virtual methods, forces them onto the heap. The problem with the the
lambda approach is that it bloats the Values (which are supposed to be
lightweight objects) quite considerably, because every object contains
more than a dozen function pointers.
The solution to address both problems (we want Values to be able to live
on the stack and be as lightweight as possible) chosen here is to
encapsulate type-dependent behaviour and state in an implementation
class, and let the Value be an AK::Variant of those implementation
classes. All methods of Value are now basically straight delegates to
the implementation object using the Variant::visit method.
One issue complicating matters is the addition of two aggregate types,
Tuple and Array, which each contain a Vector of Values. At this point
Tuples and Arrays (and potential future aggregate types) can't contain
these aggregate types. This is limiting and needs to be addressed.
Another area that needs attention is the nomenclature of things; it's
a bit of a tangle of 'ValueBlahBlah' and 'ImplBlahBlah'. It makes sense
right now I think but admit we probably can do better.
Other things included here:
- Added the Boolean and Null types (and Tuple and Array, see above).
- to_string now always succeeds and returns a String instead of an
Optional. This had some impact on other sources.
- Added a lot of tests.
- Started moving the serialization mechanism more towards where I want
it to be, i.e. a 'DataSerializer' object which just takes
serialization and deserialization requests and knows for example how
to store long strings out-of-line.
One last remark: There is obviously a naming clash between the Tuple
class and the Tuple Value type. This is intentional; I plan to make the
Tuple class a subclass of Value (and hence Key and Row as well).
Since Clang enables a couple of warnings that we don't have in GCC,
these were not caught before. Included fixes:
- Use correct printf format string for `size_t`
- Don't compare Nonnull(Ref|Own)Ptr` to nullptr
- Fix unsigned int& => unsigned long& conversion
Scanning tables is a linear process using pointers in the table's
tuples, and does not involve more 'stochastic' code paths like index
traversals. Therefore the 1000 and 10000 row tests were basically
overkill and added nothing we can't find out with less rows.
