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To more easily adopt radix_tree over existing code base, add
abstraction over 'radix_tree_iterate' which basically builds
an array of all traversed values, and then it's just easy to
go over all array elements.
TODO: code should be converted to use radix_tree_iterate()
directly as it's more efficient.
Note: it can be possibly to rewrite recursive _iterate() usage
to linear travesal, not sure whether it's worth the effort
as conversion to 'radix_itree_iterator' is relatively simple.
Add simple 'wrapper' inline functions to insert or return ptr lookup value.
(So the user doesn't need to deal with 'union radix_value' locally and
also it makes easier to translage some lvm2 functions to use radix_tree).
Note: If the stored 'value' would NULL, it cannot be recognized
from a case of 'not found'. So usable only when 'values' stored with
tree are not NULL.
Instead of using 'key state & key end' uint8_t* switch to use
void* key, & size_t keylen. This allows easier adaptation with
lvm code base with way too much casting with every use of function.
Also correctly mark const buffers to avoid compiled warnings and
casting.
Adapt the only bcache user ATM for API change.
Adapt unit test to match changed API.
Since configure.h is a generated header and it's missing traditional
ifdefs preambule - it can be included & parsed multiple times.
Normally compiler is fine when defines have same value and there is
no warning - yet we don't need to parse this several times
and by adding -include directive we can ensure every file
in the package is rightly compile with configure.h as the
first header file.
Ensure configure.h is always 1st. included header.
Maybe we could eventually introduce gcc -include option, but for now
this better uses dependency tracking.
Also move _REENTRANT and _GNU_SOURCE into configure.h so it
doesn't need to be present in various source files.
This ensures consistent compilation of headers like stdio.h since
it may produce different declaration.
An implementation of an adaptive radix tree. Has the following nice
properties:
- At least as fast as the hash table
- Uses less memory
- You don't need to give an expected size when you create
- It scales nicely (ie. no large reallocations like the hash table).
- You can iterate the keys in lexicographical order.
Only insert and lookup are implemented so far. Plus there's a lot
more performance to come.