SmallVector also provides a nice portable and efficient replacement for
``alloca``.
+.. note::
+
+ Prefer to use ``SmallVectorImpl<T>`` as a parameter type.
+
+ In APIs that don't care about the "small size" (most?), prefer to use
+ the ``SmallVectorImpl<T>`` class, which is basically just the "vector
+ header" (and methods) without the elements allocated after it. Note that
+ ``SmallVector<T, N>`` inherits from ``SmallVectorImpl<T>`` so the
+ conversion is implicit and costs nothing. E.g.
+
+ .. code-block:: c++
+
+ // BAD: Clients cannot pass e.g. SmallVector<Foo, 4>.
+ hardcodedSmallSize(SmallVector<Foo, 2> &Out);
+ // GOOD: Clients can pass any SmallVector<Foo, N>.
+ allowsAnySmallSize(SmallVectorImpl<Foo> &Out);
+
+ void someFunc() {
+ SmallVector<Foo, 8> Vec;
+ hardcodedSmallSize(Vec); // Error.
+ allowsAnySmallSize(Vec); // Works.
+ }
+
+ Even though it has "``Impl``" in the name, this is so widely used that
+ it really isn't "private to the implementation" anymore. A name like
+ ``SmallVectorHeader`` would be more appropriate.
+
.. _dss_vector:
<vector>
This combination provides the several nice properties: the result data is
contiguous in memory (good for cache locality), has few allocations, is easy to
address (iterators in the final vector are just indices or pointers), and can be
-efficiently queried with a standard binary or radix search.
+efficiently queried with a standard binary search (e.g.
+``std::lower_bound``; if you want the whole range of elements comparing
+equal, use ``std::equal_range``).
.. _dss_smallset:
and fast iteration over small sets. It is not intended for building composite
data structures.
+.. _dss_sparsemultiset:
+
+llvm/ADT/SparseMultiSet.h
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+SparseMultiSet adds multiset behavior to SparseSet, while retaining SparseSet's
+desirable attributes. Like SparseSet, it typically uses a lot of memory, but
+provides operations that are almost as fast as a vector. Typical keys are
+physical registers, virtual registers, or numbered basic blocks.
+
+SparseMultiSet is useful for algorithms that need very fast
+clear/find/insert/erase of the entire collection, and iteration over sets of
+elements sharing a key. It is often a more efficient choice than using composite
+data structures (e.g. vector-of-vectors, map-of-vectors). It is not intended for
+building composite data structures.
+
.. _dss_FoldingSet:
llvm/ADT/FoldingSet.h