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107 Commits

Author SHA1 Message Date
Christian Mazakas 0c93fbc330 Make typedef private and rename it so older versions of msvc don't erroneously treat the typedef like it's in scope when doing template instantiation 2023-02-13 09:10:21 -08:00
Christian Mazakas b8ff76f4ab Manually implement node_handle_base's default constructor instead of defaulting it which can delete it on older toolchains 2023-02-10 15:16:59 -08:00
Christian Mazakas 5df80086ed Add foa-based node containers to extract tests in transparent_tests 2023-02-10 14:19:20 -08:00
Christian Mazakas f9c32e7f8c Clean up impl of node_handle 2023-02-10 14:19:01 -08:00
Christian Mazakas 21e673c697 Begin cleanup of node_handle implementation 2023-02-09 15:59:23 -08:00
Christian Mazakas b96dd2184f Add foa-based node containers to node_handle_tests 2023-02-08 15:08:51 -08:00
Christian Mazakas 9636875596 Fix incorrect placement new of allocator type by reifying ad hoc node handle implementations into a base class 2023-02-08 10:36:19 -08:00
Christian Mazakas bd6829220c Add extract/insert semantics to foa-based node set, add more tests 2023-02-07 15:17:25 -08:00
Christian Mazakas 71bf336c9d Add missing empty_ initialization to move constructor of node_type 2023-02-07 10:08:58 -08:00
Christian Mazakas b7c1e6a184 Remove print statements 2023-02-07 10:08:34 -08:00
Christian Mazakas 77edd24b4e Interim checkin of attempt at extract/insert node handles 2023-02-06 15:56:55 -08:00
Christian Mazakas b7032baaf4 fixup osx fix 2023-02-03 10:02:49 -08:00
Christian Mazakas 6580dc8d80 Add regression test for test::exception::less 2023-02-03 10:02:28 -08:00
Christian Mazakas 5384edd568 Attempt osx ci fix by fixing logic buf in less_impl for test::exception::less 2023-02-02 13:32:08 -08:00
Christian Mazakas 2a7a8f55e1 Revert OSX CI experiment as it breaks emplace_tests 2023-02-01 10:49:20 -08:00
Christian Mazakas 18a664c4a6 Experiment for failing OSX CI 2023-02-01 10:25:50 -08:00
Christian Mazakas e1b394d5b2 Disable immovable test for libstdc++ versions below 6.0 as their std::pair implementation doesn't support immovable types 2023-02-01 09:02:05 -08:00
Christian Mazakas dc548a1a9e Update compare_range() to skip size check and use direct comparison function 2023-01-31 15:59:29 -08:00
Christian Mazakas 2787717d78 Update compare_range to use BOOST_TEST_ALL_WITH in lieu of homegrown implementation 2023-01-31 13:55:06 -08:00
Christian Mazakas d6ba04ca4b Remove use of unevaluated function in init_type_insert_tests for older versions of gcc 2023-01-31 13:45:29 -08:00
Christian Mazakas 43add11970 Add macos-12 to GHA 2023-01-31 13:45:10 -08:00
Christian Mazakas 8e45197d4d Add -Wunused-template only to clang-14 builds 2023-01-31 13:44:57 -08:00
Christian Mazakas a46220986f Replace usage of rote try-catch with corresponding Boost versions 2023-01-31 10:32:06 -08:00
Christian Mazakas 16099478db Clean up implementation of emplace_dispatch(false_type) 2023-01-31 10:31:52 -08:00
Christian Mazakas e5320df017 Fix msvc warnings 2023-01-31 09:03:25 -08:00
Christian Mazakas b9fcfeb24e Update foa table to support immovable types in the case of the node-based maps 2023-01-30 13:55:50 -08:00
Christian Mazakas f1aeb3b099 Update init_type_insert_tests for node-based foa containers 2023-01-30 13:55:50 -08:00
Christian Mazakas 5b706bb7b5 Update node-based foa containers to default their element_type default constructor and delete the copy constructor to get the appropriate type-based optimizations 2023-01-30 13:55:50 -08:00
Christian Mazakas fd7d888832 Add missing test back in for non-foa runs 2023-01-30 13:55:50 -08:00
Christian Mazakas 827c69eb1a Conditionally exclude node_map from non-foa test runs 2023-01-30 13:55:50 -08:00
Christian Mazakas 9973b3f8a8 Comment tests back in 2023-01-30 13:55:50 -08:00
joaquintides e6f911e815 provide erase_on_exit ctor 2023-01-30 13:55:50 -08:00
joaquintides 53e4531295 fixed bug with dangling moved element on throwing rehash during merge 2023-01-30 13:55:50 -08:00
Christian Mazakas 8da44f4f46 Check in interim tests for easy debugging between team members 2023-01-30 13:55:50 -08:00
Christian Mazakas dddfbf8aa8 Add node-based foa containers to swap_exception_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas a66eedef58 Add node-based foa containers to insert_exception_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 202049ddc0 Add node-based foa containers to merge_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 000833d647 fixup insert_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas d84e6f7be2 fixup assign_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 8acfccdf6e fixup constructor_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas c85dd289f9 Add node-based foa containers to simple_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 8ac6019d30 Add node-based foa containers to incomplete_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 9602799710 Add node-based foa containers to link tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 217a171b33 Add node-based foa containers to noexcept_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas b372ab6641 Add node-based foa containers to compile_map 2023-01-30 13:55:50 -08:00
Christian Mazakas 140cb56e2b Add node-based foa containers to compile_set 2023-01-30 13:55:50 -08:00
Christian Mazakas 8b842c4640 fixup fwd_set_test 2023-01-30 13:55:50 -08:00
Christian Mazakas 9b2ecd6ec5 Add node-based foa containers to fwd_map_test 2023-01-30 13:55:50 -08:00
Christian Mazakas 351e5ae41a Add node-based foa containers to fwd_set_test 2023-01-30 13:55:50 -08:00
Christian Mazakas 1c5733ed15 Add node-based foa containers to exception tests 2023-01-30 13:55:50 -08:00
Christian Mazakas cd44e0ba08 Add node-based foa containers to max_load_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 3363261ad8 Add node-based foa containers to scary_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 58b8b00233 Add node-based foa containers to reserve_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 6474f3c8d3 Add node-based foa containers to transparent_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 63269d2115 Add node-based foa container to scoped_allocator tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 0925a99d98 Add node-based foa containers to swap_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 1b23d08941 Add node-based foa containers to equality_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 28142b6251 Add node-based foa container to at_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas b60f2ce22c Add rehash tests proving that elements are not relocated for node-based containers 2023-01-30 13:55:50 -08:00
Christian Mazakas 473ed9b88b Update check used to determine when to move during rehashing to accomodate node-based containers 2023-01-30 13:55:50 -08:00
Christian Mazakas c554c5b1c9 Add node-based foa containers to rehash_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas e244b35d23 fixup load_factor_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas f7bfb85d84 Add node-based foa containers to load_factor_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 5e0257cb08 Add node-based foa containers to erase_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 64721fa1ef Clean up insert tests to use more idiomatic UNORDERED_TEST macros 2023-01-30 13:55:50 -08:00
Christian Mazakas 5bfc77c3e4 Add node-based foa containers to emplace_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas aaf0e40247 Update unordered_node_map to be a proper copy of unordered_flat_map 2023-01-30 13:55:50 -08:00
Christian Mazakas 8e86a263fc Add node-based foa containers to insert_hint_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas a5a5b75dcc Add node-based foa containers to post_move_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas b57b51b036 Remove moved_value_from() in favor of overloading move() in container type traits 2023-01-30 13:55:50 -08:00
Christian Mazakas 91b3863c77 Add node-based foa containers to erase_if tests 2023-01-30 13:55:50 -08:00
Christian Mazakas b4a23a875c fixup copy_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas f0afa5aaef Add node-based foa containers to equivalent_keys_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 7ce7ef5050 Add moved_value_from() to container policies, enabling proper move semantics for node-based containers in the case of unequal allocators 2023-01-30 13:55:50 -08:00
Christian Mazakas a3d4a078de Add node-based foa containers to move_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 1e61423eac Prove relevance of strong typedef for node-based foa containers 2023-01-30 13:55:50 -08:00
Christian Mazakas 904e806b1e Update node containers to no longer memcpy their pointer arrays 2023-01-30 13:55:50 -08:00
Christian Mazakas 3201a014c4 Add node-based foa containers to copy_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 1a87580c58 Add node-based foa containers to contains_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas ab58b613c9 Remove multiset from set_tests2_impl call 2023-01-30 13:55:50 -08:00
Christian Mazakas bb57d91675 Update insert_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 7d1e64a3c6 Update node set to conditionally use strong vs weak typedef 2023-01-30 13:55:50 -08:00
Christian Mazakas ff956ad080 Update flat_set to eschew strong typedef 2023-01-30 13:55:50 -08:00
Christian Mazakas d9bf1e435c Revert perfect forwarding when hashing for transparent ops 2023-01-30 13:55:50 -08:00
Christian Mazakas eb6d0d1f66 remove print statements 2023-01-30 13:55:50 -08:00
Christian Mazakas bce898165c Add transparent insert, show we don't need a strong typedef 2023-01-30 13:55:50 -08:00
Christian Mazakas e3c66a5e82 Remove print statements 2023-01-30 13:55:50 -08:00
Christian Mazakas b167ab7d84 Update code to use strong typedefs 2023-01-30 13:55:50 -08:00
Christian Mazakas 71fd0c07ed Add new failing test case 2023-01-30 13:55:50 -08:00
Christian Mazakas 130b483123 Add node-based foa containers to assign_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 03ee5d135b Add node-based foa containers to constructor_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 72841102f6 Add node-based foa containers to find_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas cc6748e2b1 Flesh out insert_tests for node-based foa set 2023-01-30 13:55:50 -08:00
Christian Mazakas f99decc0ca Add unordered_node_set to the insert_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas ae10a1e0df Add unordered_node_set 2023-01-30 13:55:50 -08:00
Christian Mazakas b1e497cd1d Get test suite passing 2023-01-30 13:55:50 -08:00
Christian Mazakas cbe19722a3 interim commit 2023-01-30 13:55:50 -08:00
Christian Mazakas dcff2ac5b5 Pull type policies into detail namespace 2023-01-30 13:55:50 -08:00
Christian Mazakas cb4e636d78 Implement new type policy requirements for flat containers 2023-01-30 13:55:50 -08:00
Christian Mazakas 6e41418744 Reinstate insert_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 1d8d065113 Update interim prototype to eschew allocator wrapper and instead use extended map_types 2023-01-30 13:55:50 -08:00
Christian Mazakas a858517c49 Update clang to warn on unused static function templates 2023-01-30 13:55:50 -08:00
Christian Mazakas 2cdcbd24f5 Catch remaining places where value_type was used instead of storage_type 2023-01-30 13:55:50 -08:00
Christian Mazakas 721d8713cd Extend insert_tests to test unordered_node_map wherever unordered_flat_map is also tested 2023-01-30 13:55:50 -08:00
Christian Mazakas 62e1d3eafb Remove bad static_assert() from insert_tests 2023-01-30 13:55:50 -08:00
Christian Mazakas 3744bafa55 Update implementation to use storage_type when allocating arrays and constructing/destroying elements 2023-01-30 13:55:50 -08:00
Christian Mazakas f034e43b74 Get simple prototype of insert_tests working for unordered_node_map 2023-01-30 13:55:50 -08:00
161 changed files with 1655 additions and 17550 deletions
+22 -149
View File
@@ -6,12 +6,11 @@ local library = "unordered";
local triggers =
{
branch: [ "master", "develop", "bugfix/*", "fix/*", "pr/*" ]
branch: [ "master", "develop", "feature/*", "bugfix/*" ]
};
local ubsan = { UBSAN: '1', UBSAN_OPTIONS: 'print_stacktrace=1' };
local asan = { ASAN: '1' };
local tsan = { TSAN: '1' };
local linux_pipeline(name, image, environment, packages = "", sources = [], arch = "amd64") =
{
@@ -158,29 +157,16 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 18.04 GCC 8 32/64 (03,11)",
"Linux 18.04 GCC 8 32/64",
"cppalliance/droneubuntu1804:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-8', CXXSTD: '03,11', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++-8', CXXSTD: '03,11,14,17', ADDRMD: '32,64' },
"g++-8-multilib",
),
linux_pipeline(
"Linux 18.04 GCC 8 32/64 (14,17)",
"cppalliance/droneubuntu1804:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-8', CXXSTD: '14,17', ADDRMD: '32,64' },
"g++-8-multilib",
),
linux_pipeline(
"Linux 20.04 GCC 9* 32/64 (03,11,14)",
"Linux 20.04 GCC 9* 32/64",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14', ADDRMD: '32,64' },
),
linux_pipeline(
"Linux 20.04 GCC 9* 32/64 (17,2a)",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '17,2a', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14,17,2a', ADDRMD: '32,64' },
),
linux_pipeline(
@@ -191,77 +177,36 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 20.04 GCC 9* S390x (03,11,14)",
"Linux 20.04 GCC 9* S390x",
"cppalliance/droneubuntu2004:multiarch",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14' },
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14,17,2a' },
arch="s390x",
),
linux_pipeline(
"Linux 20.04 GCC 9* S390x (17,2a)",
"cppalliance/droneubuntu2004:multiarch",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '17,2a' },
arch="s390x",
),
linux_pipeline(
"Linux 20.04 GCC 10 32/64 (03,11,14)",
"Linux 20.04 GCC 10 32/64",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-10', CXXSTD: '03,11,14', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++-10', CXXSTD: '03,11,14,17,20', ADDRMD: '32,64' },
"g++-10-multilib",
),
linux_pipeline(
"Linux 20.04 GCC 10 32/64 (17,20)",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-10', CXXSTD: '17,20', ADDRMD: '32,64' },
"g++-10-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 11* 32/64 (03,11,14)",
"Linux 22.04 GCC 11* 32/64",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14', ADDRMD: '32,64' },
),
linux_pipeline(
"Linux 22.04 GCC 11* 32/64 (17,2a)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '17,2a', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14,17,2a', ADDRMD: '32,64' },
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (03,11,14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '03,11', ADDRMD: '32' } + asan,
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '03,11,14', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (14)",
"Linux 22.04 GCC 12 32 ASAN (17,20,2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '14', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (17)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '20', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '2b', ADDRMD: '32' } + asan,
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17,20,2b', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
@@ -273,47 +218,12 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 22.04 GCC 12 64 ASAN (17)",
"Linux 22.04 GCC 12 64 ASAN (17,20,2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17', ADDRMD: '64' } + asan,
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17,20,2b', ADDRMD: '64' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 64 ASAN (20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '20', ADDRMD: '64' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 64 ASAN (2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '2b', ADDRMD: '64' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 64 TSAN (11,14,17,20,2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '11,14,17,20,2b', ADDRMD: '64', TARGET: 'libs/unordered/test//cfoa_tests' } + tsan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 23.04 GCC 13 32/64 (03,11,14)",
"cppalliance/droneubuntu2304:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-13', CXXSTD: '03,11,14', ADDRMD: '32,64' },
"g++-13 g++-13-multilib",
),
linux_pipeline(
"Linux 23.04 GCC 13 32/64 (17,20,2b)",
"cppalliance/droneubuntu2304:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-13', CXXSTD: '17,20,2b', ADDRMD: '32,64' },
"g++-13 g++-13-multilib",
),
linux_pipeline(
"Linux 16.04 Clang 3.5",
"cppalliance/droneubuntu1604:1",
@@ -420,40 +330,19 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 22.04 Clang 14 UBSAN (03,11,14)",
"Linux 22.04 Clang 14 UBSAN",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14' } + ubsan,
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14,17,20' } + ubsan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 UBSAN (17,20)",
"Linux 22.04 Clang 14 ASAN",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '17,20' } + ubsan,
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14,17,20' } + asan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 ASAN (03,11,14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14' } + asan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 ASAN (17,20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '17,20' } + asan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 libc++ 64 TSAN",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', ADDRMD: '64', TARGET: 'libs/unordered/test//cfoa_tests', CXXSTD: '11,14,17,20', STDLIB: 'libc++' } + tsan,
"clang-14 libc++-14-dev libc++abi-14-dev",
),
linux_pipeline(
"Linux 22.04 Clang 15",
"cppalliance/droneubuntu2204:1",
@@ -463,18 +352,8 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
macos_pipeline(
"MacOS 10.15 Xcode 12.2 UBSAN (03,11)",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '03,11' } + ubsan,
),
macos_pipeline(
"MacOS 10.15 Xcode 12.2 UBSAN (14)",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '14' } + ubsan,
),
macos_pipeline(
"MacOS 10.15 Xcode 12.2 UBSAN (1z)",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '1z' } + ubsan,
"MacOS 10.15 Xcode 12.2 UBSAN",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '03,11,14,1z' } + ubsan,
),
macos_pipeline(
@@ -483,12 +362,6 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
xcode_version = "13.4.1", osx_version = "monterey", arch = "arm64",
),
macos_pipeline(
"MacOS 12.4 Xcode 13.4.1 TSAN",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '11,14,1z', TARGET: 'libs/unordered/test//cfoa_tests' } + tsan,
xcode_version = "13.4.1", osx_version = "monterey", arch = "arm64",
),
windows_pipeline(
"Windows VS2015 msvc-14.0",
"cppalliance/dronevs2015",
+1 -3
View File
@@ -7,8 +7,6 @@
set -ex
export PATH=~/.local/bin:/usr/local/bin:$PATH
: ${TARGET:="libs/$LIBRARY/test"}
DRONE_BUILD_DIR=$(pwd)
BOOST_BRANCH=develop
@@ -24,4 +22,4 @@ python tools/boostdep/depinst/depinst.py $LIBRARY
./b2 -d0 headers
echo "using $TOOLSET : : $COMPILER ;" > ~/user-config.jam
./b2 -j3 $TARGET toolset=$TOOLSET cxxstd=$CXXSTD variant=debug,release ${ADDRMD:+address-model=$ADDRMD} ${STDLIB:+stdlib=$STDLIB} ${UBSAN:+undefined-sanitizer=norecover debug-symbols=on} ${ASAN:+address-sanitizer=norecover debug-symbols=on} ${TSAN:+thread-sanitizer=norecover debug-symbols=on} ${LINKFLAGS:+linkflags=$LINKFLAGS}
./b2 -j3 libs/$LIBRARY/test toolset=$TOOLSET cxxstd=$CXXSTD variant=debug,release ${ADDRMD:+address-model=$ADDRMD} ${UBSAN:+undefined-sanitizer=norecover debug-symbols=on} ${ASAN:+address-sanitizer=norecover debug-symbols=on} ${LINKFLAGS:+linkflags=$LINKFLAGS}
+4 -15
View File
@@ -15,9 +15,9 @@ on:
- master
- develop
- bugfix/**
- feature/**
- fix/**
- pr/**
- feature/cfoa-size-padding
concurrency:
group: ${{format('{0}:{1}', github.repository, github.ref)}}
@@ -52,10 +52,7 @@ jobs:
- { name: "gcc-12 w/ sanitizers (17,20,2b)", sanitize: yes,
compiler: gcc-12, cxxstd: '17,20,2b', os: ubuntu-22.04, ccache_key: "san2" }
- { name: Collect coverage, coverage: yes,
compiler: gcc-12, cxxstd: '03,20', os: ubuntu-22.04, install: 'g++-12-multilib', address-model: '32,64', ccache_key: "cov" }
- { name: "cfoa tsan (gcc)", cxxstd: '11,14,17,20,2b', os: ubuntu-22.04, compiler: gcc-12,
targets: 'libs/unordered/test//cfoa_tests', thread-sanitize: yes }
compiler: gcc-8, cxxstd: '03,11', os: ubuntu-20.04, install: 'g++-8-multilib', address-model: '32,64', ccache_key: "cov" }
# Linux, clang, libc++
- { compiler: clang-7, cxxstd: '03,11,14,17', os: ubuntu-20.04, stdlib: libc++, install: 'clang-7 libc++-7-dev libc++abi-7-dev' }
@@ -68,23 +65,17 @@ jobs:
compiler: clang-12, cxxstd: '17,20,2b', os: ubuntu-20.04, stdlib: libc++, install: 'clang-12 libc++-12-dev libc++abi-12-dev', ccache_key: "san2" }
- { compiler: clang-13, cxxstd: '03,11,14,17,20,2b', os: ubuntu-22.04, stdlib: libc++, install: 'clang-13 libc++-13-dev libc++abi-13-dev' }
- { compiler: clang-14, cxxstd: '03,11,14,17,20,2b', os: ubuntu-22.04, stdlib: libc++, install: 'clang-14 libc++-14-dev libc++abi-14-dev' }
# not using libc++ because of https://github.com/llvm/llvm-project/issues/52771
- { name: "clang-14 w/ sanitizers (03,11,14)", sanitize: yes,
compiler: clang-14, cxxstd: '03,11,14', os: ubuntu-22.04, ccache_key: "san1" }
- { name: "clang-14 w/ sanitizers (17,20,2b)", sanitize: yes,
compiler: clang-14, cxxstd: '17,20,2b', os: ubuntu-22.04, ccache_key: "san2" }
- { name: "cfoa tsan (clang)", cxxstd: '11,14,17,20,2b', os: ubuntu-22.04, compiler: clang-14,
targets: 'libs/unordered/test//cfoa_tests', thread-sanitize: yes,
stdlib: libc++, install: 'clang-14 libc++-14-dev libc++abi-14-dev' }
# OSX, clang
- { compiler: clang, cxxstd: '03,11,14,17,2a', os: macos-11, }
- { compiler: clang, cxxstd: '03,11,14,17,2a', os: macos-12, sanitize: yes }
- { compiler: clang, cxxstd: '11,14,17,2a', os: macos-12, thread-sanitize: yes, targets: 'libs/unordered/test//cfoa_tests' }
timeout-minutes: 180
timeout-minutes: 120
runs-on: ${{matrix.os}}
container: ${{matrix.container}}
env: {B2_USE_CCACHE: 1}
@@ -193,8 +184,6 @@ jobs:
B2_COMPILER: ${{matrix.compiler}}
B2_CXXSTD: ${{matrix.cxxstd}}
B2_SANITIZE: ${{matrix.sanitize}}
B2_TSAN: ${{matrix.thread-sanitize}}
B2_TARGETS: ${{matrix.targets}}
B2_STDLIB: ${{matrix.stdlib}}
# More entries can be added in the same way, see the B2_ARGS assignment in ci/enforce.sh for the possible keys.
# B2_DEFINES: ${{matrix.defines}}
@@ -208,7 +197,7 @@ jobs:
- name: Run tests
if: '!matrix.coverity'
run: B2_TARGETS=${{matrix.targets}} ci/build.sh
run: ci/build.sh
- name: Upload coverage
if: matrix.coverage
-1
View File
@@ -22,7 +22,6 @@ target_link_libraries(boost_unordered
Boost::mp11
Boost::predef
Boost::preprocessor
Boost::static_assert
Boost::throw_exception
Boost::tuple
Boost::type_traits
-10
View File
@@ -1,5 +1,4 @@
// Copyright 2021 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/core/detail/splitmix64.hpp>
#include <boost/config.hpp>
@@ -274,9 +272,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -350,9 +345,6 @@ std::unordered_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_map_fnv1a =
boost::unordered_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map_fnv1a =
boost::unordered_node_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map_fnv1a =
boost::unordered_flat_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
@@ -381,7 +373,6 @@ int main()
test<std_unordered_map>( "std::unordered_map" );
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
@@ -399,7 +390,6 @@ int main()
test<std_unordered_map_fnv1a>( "std::unordered_map, FNV-1a" );
test<boost_unordered_map_fnv1a>( "boost::unordered_map, FNV-1a" );
test<boost_unordered_node_map_fnv1a>( "boost::unordered_node_map, FNV-1a" );
test<boost_unordered_flat_map_fnv1a>( "boost::unordered_flat_map, FNV-1a" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
-10
View File
@@ -1,5 +1,4 @@
// Copyright 2021 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/core/detail/splitmix64.hpp>
#include <boost/config.hpp>
@@ -275,9 +273,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -351,9 +346,6 @@ std::unordered_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_map_fnv1a =
boost::unordered_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map_fnv1a =
boost::unordered_node_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map_fnv1a =
boost::unordered_flat_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
@@ -382,7 +374,6 @@ int main()
test<std_unordered_map>( "std::unordered_map" );
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
@@ -400,7 +391,6 @@ int main()
test<std_unordered_map_fnv1a>( "std::unordered_map, FNV-1a" );
test<boost_unordered_map_fnv1a>( "boost::unordered_map, FNV-1a" );
test<boost_unordered_node_map_fnv1a>( "boost::unordered_node_map, FNV-1a" );
test<boost_unordered_flat_map_fnv1a>( "boost::unordered_flat_map, FNV-1a" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
-6
View File
@@ -1,5 +1,4 @@
// Copyright 2021 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/endian/conversion.hpp>
#include <boost/core/detail/splitmix64.hpp>
@@ -291,9 +289,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -320,7 +315,6 @@ int main()
test<std_unordered_map>( "std::unordered_map" );
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
-6
View File
@@ -1,5 +1,4 @@
// Copyright 2021 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/endian/conversion.hpp>
#include <boost/core/detail/splitmix64.hpp>
@@ -291,9 +289,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -330,7 +325,6 @@ int main()
#endif
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
-6
View File
@@ -1,5 +1,4 @@
// Copyright 2021, 2022 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/endian/conversion.hpp>
#include <boost/core/detail/splitmix64.hpp>
@@ -342,9 +340,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -371,7 +366,6 @@ int main()
test<std_unordered_map>( "std::unordered_map" );
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
-10
View File
@@ -1,5 +1,4 @@
// Copyright 2021, 2022 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/regex.hpp>
#ifdef HAVE_ABSEIL
@@ -229,9 +227,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -305,9 +300,6 @@ std::unordered_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_map_fnv1a =
boost::unordered_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map_fnv1a =
boost::unordered_node_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map_fnv1a =
boost::unordered_flat_map<K, V, fnv1a_hash, std::equal_to<K>, allocator_for<K, V>>;
@@ -336,7 +328,6 @@ int main()
test<std_unordered_map>( "std::unordered_map" );
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
@@ -354,7 +345,6 @@ int main()
test<std_unordered_map_fnv1a>( "std::unordered_map, FNV-1a" );
test<boost_unordered_map_fnv1a>( "boost::unordered_map, FNV-1a" );
test<boost_unordered_node_map_fnv1a>( "boost::unordered_node_map, FNV-1a" );
test<boost_unordered_flat_map_fnv1a>( "boost::unordered_flat_map, FNV-1a" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
-6
View File
@@ -1,5 +1,4 @@
// Copyright 2021, 2022 Peter Dimov.
// Copyright 2023 Joaquin M Lopez Munoz.
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
@@ -7,7 +6,6 @@
#define _SILENCE_CXX20_CISO646_REMOVED_WARNING
#include <boost/unordered_map.hpp>
#include <boost/unordered/unordered_node_map.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <boost/regex.hpp>
#ifdef HAVE_ABSEIL
@@ -183,9 +181,6 @@ template<class K, class V> using std_unordered_map =
template<class K, class V> using boost_unordered_map =
boost::unordered_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_node_map =
boost::unordered_node_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
template<class K, class V> using boost_unordered_flat_map =
boost::unordered_flat_map<K, V, boost::hash<K>, std::equal_to<K>, allocator_for<K, V>>;
@@ -212,7 +207,6 @@ int main()
test<std_unordered_map>( "std::unordered_map" );
test<boost_unordered_map>( "boost::unordered_map" );
test<boost_unordered_node_map>( "boost::unordered_node_map" );
test<boost_unordered_flat_map>( "boost::unordered_flat_map" );
#ifdef HAVE_ANKERL_UNORDERED_DENSE
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+1 -3
View File
@@ -13,10 +13,8 @@
include::unordered/intro.adoc[]
include::unordered/buckets.adoc[]
include::unordered/hash_equality.adoc[]
include::unordered/regular.adoc[]
include::unordered/concurrent.adoc[]
include::unordered/comparison.adoc[]
include::unordered/compliance.adoc[]
include::unordered/structures.adoc[]
include::unordered/benchmarks.adoc[]
include::unordered/rationale.adoc[]
include::unordered/ref.adoc[]
+2 -263
View File
@@ -278,14 +278,13 @@ max load factor 5
|===
== boost::unordered_(flat|node)_map
== boost::unordered_flat_map
All benchmarks were created using:
* `https://abseil.io/docs/cpp/guides/container[absl::flat_hash_map^]<uint64_t, uint64_t>`
* `boost::unordered_map<uint64_t, uint64_t>`
* `boost::unordered_flat_map<uint64_t, uint64_t>`
* `boost::unordered_node_map<uint64_t, uint64_t>`
* `boost::unordered_map<uint64_t, uint64_t>`
The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_unordered_flat_map[found here^].
@@ -431,263 +430,3 @@ h|unsuccessful lookup
|===
== boost::concurrent_flat_map
All benchmarks were created using:
* `https://spec.oneapi.io/versions/latest/elements/oneTBB/source/containers/concurrent_hash_map_cls.html[oneapi::tbb::concurrent_hash_map^]<int, int>`
* `https://github.com/greg7mdp/gtl/blob/main/docs/phmap.md[gtl::parallel_flat_hash_map^]<int, int>` with 64 submaps
* `boost::concurrent_flat_map<int, int>`
The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_concurrent_flat_map[found here^].
The benchmarks exercise a number of threads _T_ (between 1 and 16) concurrently performing operations
randomly chosen among **update**, **successful lookup** and **unsuccessful lookup**. The keys used in the
operations follow a https://en.wikipedia.org/wiki/Zipf%27s_law#Formal_definition[Zipf distribution^]
with different _skew_ parameters: the higher the skew, the more concentrated are the keys in the lower values
of the covered range.
=== GCC 12, x64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Clang 15, x64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Visual Studio 2022, x64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Clang 12, ARM64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== GCC 12, x86
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Clang 15, x86
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Visual Studio 2022, x86
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
+171 -9
View File
@@ -2,9 +2,9 @@
:idprefix: buckets_
:imagesdir: ../diagrams
= Basics of Hash Tables
= The Data Structure
The containers are made up of a number of _buckets_, each of which can contain
The containers are made up of a number of 'buckets', each of which can contain
any number of elements. For example, the following diagram shows a <<unordered_set,`boost::unordered_set`>> with 7 buckets containing 5 elements, `A`,
`B`, `C`, `D` and `E` (this is just for illustration, containers will typically
have more buckets).
@@ -12,7 +12,8 @@ have more buckets).
image::buckets.png[]
In order to decide which bucket to place an element in, the container applies
the hash function, `Hash`, to the element's key (for sets the key is the whole element, but is referred to as the key
the hash function, `Hash`, to the element's key (for `unordered_set` and
`unordered_multiset` the key is the whole element, but is referred to as the key
so that the same terminology can be used for sets and maps). This returns a
value of type `std::size_t`. `std::size_t` has a much greater range of values
then the number of buckets, so the container applies another transformation to
@@ -52,7 +53,8 @@ h|*Method* h|*Description*
|`size_type bucket_count() const`
|The number of buckets.
2+^h| *Closed-addressing containers only*
2+^h| *Closed-addressing containers only* +
`boost::unordered_[multi]set`, `boost::unordered_[multi]map`
h|*Method* h|*Description*
|`size_type max_bucket_count() const`
@@ -78,7 +80,7 @@ h|*Method* h|*Description*
|===
== Controlling the Number of Buckets
== Controlling the number of buckets
As more elements are added to an unordered associative container, the number
of collisions will increase causing performance to degrade.
@@ -88,8 +90,8 @@ calling `rehash`.
The standard leaves a lot of freedom to the implementer to decide how the
number of buckets is chosen, but it does make some requirements based on the
container's _load factor_, the number of elements divided by the number of buckets.
Containers also have a _maximum load factor_ which they should try to keep the
container's 'load factor', the number of elements divided by the number of buckets.
Containers also have a 'maximum load factor' which they should try to keep the
load factor below.
You can't control the bucket count directly but there are two ways to
@@ -131,7 +133,8 @@ h|*Method* h|*Description*
|`void rehash(size_type n)`
|Changes the number of buckets so that there at least `n` buckets, and so that the load factor is less than the maximum load factor.
2+^h| *Open-addressing and concurrent containers only*
2+^h| *Open-addressing containers only* +
`boost::unordered_flat_set`, `boost::unordered_flat_map`
h|*Method* h|*Description*
|`size_type max_load() const`
@@ -139,7 +142,7 @@ h|*Method* h|*Description*
|===
A note on `max_load` for open-addressing and concurrent containers: the maximum load will be
A note on `max_load` for open-addressing containers: the maximum load will be
(`max_load_factor() * bucket_count()`) right after `rehash` or on container creation, but may
slightly decrease when erasing elements in high-load situations. For instance, if we
have a <<unordered_flat_map,`boost::unordered_flat_map`>> with `size()` almost
@@ -147,4 +150,163 @@ at `max_load()` level and then erase 1,000 elements, `max_load()` may decrease b
few dozen elements. This is done internally by Boost.Unordered in order
to keep its performance stable, and must be taken into account when planning for rehash-free insertions.
== Iterator Invalidation
It is not specified how member functions other than `rehash` and `reserve` affect
the bucket count, although `insert` can only invalidate iterators
when the insertion causes the container's load to be greater than the maximum allowed.
For most implementations this means that `insert` will only
change the number of buckets when this happens. Iterators can be
invalidated by calls to `insert`, `rehash` and `reserve`.
As for pointers and references,
they are never invalidated for closed-addressing containers (`boost::unordered_[multi]set`, `boost::unordered_[multi]map`),
but they will when rehashing occurs for open-addressing
`boost::unordered_flat_set` and `boost::unordered_flat_map`: this is because
these containers store elements directly into their holding buckets, so
when allocating a new bucket array the elements must be transferred by means of move construction.
In a similar manner to using `reserve` for ``vector``s, it can be a good idea
to call `reserve` before inserting a large number of elements. This will get
the expensive rehashing out of the way and let you store iterators, safe in
the knowledge that they won't be invalidated. If you are inserting `n`
elements into container `x`, you could first call:
```
x.reserve(n);
```
Note:: `reserve(n)` reserves space for at least `n` elements, allocating enough buckets
so as to not exceed the maximum load factor.
+
Because the maximum load factor is defined as the number of elements divided by the total
number of available buckets, this function is logically equivalent to:
+
```
x.rehash(std::ceil(n / x.max_load_factor()))
```
+
See the <<unordered_map_rehash,reference for more details>> on the `rehash` function.
== Fast Closed Addressing Implementation
++++
<style>
.imageblock > .title {
text-align: inherit;
}
</style>
++++
Boost.Unordered sports one of the fastest implementations of closed addressing, also commonly known as https://en.wikipedia.org/wiki/Hash_table#Separate_chaining[separate chaining]. An example figure representing the data structure is below:
[#img-bucket-groups,.text-center]
.A simple bucket group approach
image::bucket-groups.png[align=center]
An array of "buckets" is allocated and each bucket in turn points to its own individual linked list. This makes meeting the standard requirements of bucket iteration straight-forward. Unfortunately, iteration of the entire container is often times slow using this layout as each bucket must be examined for occupancy, yielding a time complexity of `O(bucket_count() + size())` when the standard requires complexity to be `O(size())`.
Canonical standard implementations will wind up looking like the diagram below:
[.text-center]
.The canonical standard approach
image::singly-linked.png[align=center,link=../diagrams/singly-linked.png,window=_blank]
It's worth noting that this approach is only used by pass:[libc++] and pass:[libstdc++]; the MSVC Dinkumware implementation uses a different one. A more detailed analysis of the standard containers can be found http://bannalia.blogspot.com/2013/10/implementation-of-c-unordered.html[here].
This unusually laid out data structure is chosen to make iteration of the entire container efficient by inter-connecting all of the nodes into a singly-linked list. One might also notice that buckets point to the node _before_ the start of the bucket's elements. This is done so that removing elements from the list can be done efficiently without introducing the need for a doubly-linked list. Unfortunately, this data structure introduces a guaranteed extra indirection. For example, to access the first element of a bucket, something like this must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* p = buckets[idx]; // first load
node* n = p->next; // second load
if (n && is_in_bucket(n, idx)) {
value_type const& v = *n; // third load
// ...
}
```
With a simple bucket group layout, this is all that must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* n = buckets[idx]; // first load
if (n) {
value_type const& v = *n; // second load
// ...
}
```
In practice, the extra indirection can have a dramatic performance impact to common operations such as `insert`, `find` and `erase`. But to keep iteration of the container fast, Boost.Unordered introduces a novel data structure, a "bucket group". A bucket group is a fixed-width view of a subsection of the buckets array. It contains a bitmask (a `std::size_t`) which it uses to track occupancy of buckets and contains two pointers so that it can form a doubly-linked list with non-empty groups. An example diagram is below:
[#img-fca-layout]
.The new layout used by Boost
image::fca.png[align=center]
Thus container-wide iteration is turned into traversing the non-empty bucket groups (an operation with constant time complexity) which reduces the time complexity back to `O(size())`. In total, a bucket group is only 4 words in size and it views `sizeof(std::size_t) * CHAR_BIT` buckets meaning that for all common implementations, there's only 4 bits of space overhead per bucket introduced by the bucket groups.
A more detailed description of Boost.Unordered's closed-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/06/advancing-state-of-art-for.html[external article].
For more information on implementation rationale, read the
xref:#rationale_boostunordered_multiset_and_boostunordered_multimap[corresponding section].
== Open Addressing Implementation
The diagram shows the basic internal layout of `boost::unordered_flat_map` and
`boost:unordered_flat_set`.
[#img-foa-layout]
.Open-addressing layout used by Boost.Unordered.
image::foa.png[align=center]
As with all open-addressing containers, elements are stored directly in the bucket array.
This array is logically divided into 2^_n_^ _groups_ of 15 elements each.
In addition to the bucket array, there is an associated _metadata array_ with 2^_n_^
16-byte words.
[#img-foa-metadata]
.Breakdown of a metadata word.
image::foa-metadata.png[align=center]
A metadata word is divided into 15 _h_~_i_~ bytes (one for each associated
bucket), and an _overflow byte_ (_ofw_ in the diagram). The value of _h_~_i_~ is:
- 0 if the corresponding bucket is empty.
- 1 to encode a special empty bucket called a _sentinel_, which is used internally to
stop iteration when the container has been fully traversed.
- If the bucket is occupied, a _reduced hash value_ obtained from the hash value of
the element.
When looking for an element with hash value _h_, SIMD technologies such as
https://en.wikipedia.org/wiki/SSE2[SSE2] and
https://en.wikipedia.org/wiki/ARM_architecture_family#Advanced_SIMD_(Neon)[Neon] allow us
to very quickly inspect the full metadata word and look for the reduced value of _h_ among all the
15 buckets with just a handful of CPU instructions: non-matching buckets can be
readily discarded, and those whose reduced hash value matches need be inspected via full
comparison with the corresponding element. If the looked-for element is not present,
the overflow byte is inspected:
- If the bit in the position _h_ mod 8 is zero, lookup terminates (and the
element is not present).
- If the bit is set to 1 (the group has been _overflowed_), further groups are
checked using https://en.wikipedia.org/wiki/Quadratic_probing[_quadratic probing_], and
the process is repeated.
Insertion is algorithmically similar: empty buckets are located using SIMD,
and when going past a full group its corresponding overflow bit is set to 1.
In architectures without SIMD support, the logical layout stays the same, but the metadata
word is codified using a technique we call _bit interleaving_: this layout allows us
to emulate SIMD with reasonably good performance using only standard arithmetic and
logical operations.
[#img-foa-metadata-interleaving]
.Bit-interleaved metadata word.
image::foa-metadata-interleaving.png[align=center]
A more detailed description of Boost.Unordered's open-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/11/inside-boostunorderedflatmap.html[external article].
For more information on implementation rationale, read the
xref:#rationale_boostunordered_flat_set_and_boostunordered_flat_map[corresponding section].
+2 -16
View File
@@ -6,24 +6,10 @@
:github-pr-url: https://github.com/boostorg/unordered/pull
:cpp: C++
== Release 1.83.0 - Major update
== Release 1.82.0
* Added `boost::concurrent_flat_map`, a fast, thread-safe hashmap based on open addressing.
* Sped up iteration of open-addressing containers.
== Release 1.82.0 - Major update
* {cpp}03 support is planned for deprecation. Boost 1.84.0 will no longer support
{cpp}03 mode and {cpp}11 will become the new minimum for using the library.
* Added node-based, open-addressing containers
`boost::unordered_node_map` and `boost::unordered_node_set`.
* Extended heterogeneous lookup to more member functions as specified in
https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2023/p2363r5.html[P2363].
* Replaced the previous post-mixing process for open-addressing containers with
a new algorithm based on extended multiplication by a constant.
* Fixed bug in internal emplace() impl where stack-local types were not properly
constructed using the Allocator of the container which breaks uses-allocator
construction.
https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2022/p2363r3.html[P2363].
== Release 1.81.0 - Major update
@@ -1,99 +1,8 @@
[#regular]
= Regular Containers
:idprefix: regular_
Boost.Unordered closed-addressing containers (`boost::unordered_set`, `boost::unordered_map`,
`boost::unordered_multiset` and `boost::unordered_multimap`) are fully conformant with the
C++ specification for unordered associative containers, so for those who know how to use
`std::unordered_set`, `std::unordered_map`, etc., their homonyms in Boost.Unordered are
drop-in replacements. The interface of open-addressing containers (`boost::unordered_node_set`,
`boost::unordered_node_map`, `boost::unordered_flat_set` and `boost::unordered_flat_map`)
is very similar, but they present some minor differences listed in the dedicated
xref:#compliance_open_addressing_containers[standard compliance section].
For readers without previous experience with hash containers but familiar
with normal associative containers (`std::set`, `std::map`,
`std::multiset` and `std::multimap`), Boost.Unordered containers are used in a similar manner:
[source,cpp]
----
typedef boost::unordered_map<std::string, int> map;
map x;
x["one"] = 1;
x["two"] = 2;
x["three"] = 3;
assert(x.at("one") == 1);
assert(x.find("missing") == x.end());
----
But since the elements aren't ordered, the output of:
[source,c++]
----
for(const map::value_type& i: x) {
std::cout<<i.first<<","<<i.second<<"\n";
}
----
can be in any order. For example, it might be:
[source]
----
two,2
one,1
three,3
----
There are other differences, which are listed in the
<<comparison,Comparison with Associative Containers>> section.
== Iterator Invalidation
It is not specified how member functions other than `rehash` and `reserve` affect
the bucket count, although `insert` can only invalidate iterators
when the insertion causes the container's load to be greater than the maximum allowed.
For most implementations this means that `insert` will only
change the number of buckets when this happens. Iterators can be
invalidated by calls to `insert`, `rehash` and `reserve`.
As for pointers and references,
they are never invalidated for node-based containers
(`boost::unordered_[multi]set`, `boost::unordered_[multi]map`, `boost::unordered_node_set`, `boost::unordered_node_map`),
but they will be when rehashing occurs for
`boost::unordered_flat_set` and `boost::unordered_flat_map`: this is because
these containers store elements directly into their holding buckets, so
when allocating a new bucket array the elements must be transferred by means of move construction.
In a similar manner to using `reserve` for ``vector``s, it can be a good idea
to call `reserve` before inserting a large number of elements. This will get
the expensive rehashing out of the way and let you store iterators, safe in
the knowledge that they won't be invalidated. If you are inserting `n`
elements into container `x`, you could first call:
```
x.reserve(n);
```
Note:: `reserve(n)` reserves space for at least `n` elements, allocating enough buckets
so as to not exceed the maximum load factor.
+
Because the maximum load factor is defined as the number of elements divided by the total
number of available buckets, this function is logically equivalent to:
+
```
x.rehash(std::ceil(n / x.max_load_factor()))
```
+
See the <<unordered_map_rehash,reference for more details>> on the `rehash` function.
[#comparison]
:idprefix: comparison_
== Comparison with Associative Containers
= Comparison with Associative Containers
[caption=, title='Table {counter:table-counter} Interface differences']
[cols="1,1", frame=all, grid=rows]
@@ -123,9 +32,9 @@ See the <<unordered_map_rehash,reference for more details>> on the `rehash` func
|`iterator`, `const_iterator` are of at least the forward category.
|Iterators, pointers and references to the container's elements are never invalidated.
|<<regular_iterator_invalidation,Iterators can be invalidated by calls to insert or rehash>>. +
**Node-based containers:** Pointers and references to the container's elements are never invalidated. +
**Flat containers:** Pointers and references to the container's elements are invalidated when rehashing occurs.
|<<buckets_iterator_invalidation,Iterators can be invalidated by calls to insert or rehash>>. +
**Closed-addressing containers:** Pointers and references to the container's elements are never invalidated. +
**Open-addressing containers:** Pointers and references to the container's elements are invalidated when rehashing occurs.
|Iterators iterate through the container in the order defined by the comparison object.
|Iterators iterate through the container in an arbitrary order, that can change as elements are inserted, although equivalent elements are always adjacent.
+18 -79
View File
@@ -5,15 +5,15 @@
:cpp: C++
== Closed-addressing Containers
== Closed-addressing containers: unordered_[multi]set, unordered_[multi]map
`unordered_[multi]set` and `unordered_[multi]map` are intended to provide a conformant
The intent of Boost.Unordered is to provide a conformant
implementation of the {cpp}20 standard that will work with {cpp}98 upwards.
This wide compatibility does mean some compromises have to be made.
With a compiler and library that fully support {cpp}11, the differences should
be minor.
=== Move Emulation
=== Move emulation
Support for move semantics is implemented using Boost.Move. If rvalue
references are available it will use them, but if not it uses a close,
@@ -25,7 +25,7 @@ but imperfect emulation. On such compilers:
* The containers themselves are not movable.
* Argument forwarding is not perfect.
=== Use of Allocators
=== Use of allocators
{cpp}11 introduced a new allocator system. It's backwards compatible due to
the lax requirements for allocators in the old standard, but might need
@@ -58,7 +58,7 @@ Due to imperfect move emulation, some assignments might check
`propagate_on_container_copy_assignment` on some compilers and
`propagate_on_container_move_assignment` on others.
=== Construction/Destruction Using Allocators
=== Construction/Destruction using allocators
The following support is required for full use of {cpp}11 style
construction/destruction:
@@ -117,88 +117,27 @@ Variadic constructor arguments for `emplace` are only used when both
rvalue references and variadic template parameters are available.
Otherwise `emplace` can only take up to 10 constructors arguments.
== Open-addressing Containers
== Open-addressing containers: unordered_flat_set, unordered_flat_map
The C++ standard does not currently provide any open-addressing container
specification to adhere to, so `boost::unordered_flat_set`/`unordered_node_set` and
`boost::unordered_flat_map`/`unordered_node_map` take inspiration from `std::unordered_set` and
specification to adhere to, so `boost::unordered_flat_set` and
`boost::unordered_flat_map` take inspiration from `std::unordered_set` and
`std::unordered_map`, respectively, and depart from their interface where
convenient or as dictated by their internal data structure, which is
radically different from that imposed by the standard (closed addressing).
radically different from that imposed by the standard (closed addressing, node based).
Open-addressing containers provided by Boost.Unordered only work with reasonably
`unordered_flat_set` and `unordered_flat_map` only work with reasonably
compliant C++11 (or later) compilers. Language-level features such as move semantics
and variadic template parameters are then not emulated.
The containers are fully https://en.cppreference.com/w/cpp/named_req/AllocatorAwareContainer[AllocatorAware^].
`unordered_flat_set` and `unordered_flat_map` are fully https://en.cppreference.com/w/cpp/named_req/AllocatorAwareContainer[AllocatorAware^].
The main differences with C++ unordered associative containers are:
* In general:
** `begin()` is not constant-time.
** `erase(iterator)` returns `void` instead of an iterator to the following element.
** There is no API for bucket handling (except `bucket_count`).
** The maximum load factor of the container is managed internally and can't be set by the user. The maximum load,
exposed through the public function `max_load`, may decrease on erasure under high-load conditions.
* Flat containers (`boost::unordered_flat_set` and `boost::unordered_flat_map`):
** `value_type` must be move-constructible.
** Pointer stability is not kept under rehashing.
** There is no API for node extraction/insertion.
* `value_type` must be move-constructible.
* Pointer stability is not kept under rehashing.
* `begin()` is not constant-time.
* `erase(iterator)` returns `void` instead of an iterator to the following element.
* There is no API for bucket handling (except `bucket_count`) or node extraction/insertion.
* The maximum load factor of the container is managed internally and can't be set by the user. The maximum load,
exposed through the public function `max_load`, may decrease on erasure under high-load conditions.
== Concurrent Containers
There is currently no specification in the C++ standard for this or any other concurrent
data structure. `boost::concurrent_flat_map` takes the same template parameters as `std::unordered_map`
and all the maps provided by Boost.Unordered, and its API is modelled after that of
`boost::unordered_flat_map` with the crucial difference that iterators are not provided
due to their inherent problems in concurrent scenarios (high contention, prone to deadlocking):
so, `boost::concurrent_flat_map` is technically not a
https://en.cppreference.com/w/cpp/named_req/Container[Container^], although
it meets all the requirements of https://en.cppreference.com/w/cpp/named_req/AllocatorAwareContainer[AllocatorAware^]
containers except those implying iterators.
In a non-concurrent unordered container, iterators serve two main purposes:
* Access to an element previously located via lookup.
* Container traversal.
In place of iterators, `boost::concurrent_flat_map` uses _internal visitation_
facilities as a thread-safe substitute. Classical operations returning an iterator to an
element already existing in the container, like for instance:
[source,c++]
----
iterator find(const key_type& k);
std::pair<iterator, bool> insert(const value_type& obj);
----
are transformed to accept a _visitation function_ that is passed such element:
[source,c++]
----
template<class F> size_t visit(const key_type& k, F f);
template<class F> bool insert_or_visit(const value_type& obj, F f);
----
(In the second case `f` is only invoked if there's an equivalent element
to `obj` in the table, not if insertion is successful). Container traversal
is served by:
[source,c++]
----
template<class F> size_t visit_all(F f);
----
of which there are parallelized versions in C++17 compilers with parallel
algorithm support. In general, the interface of `boost::concurrent_flat_map`
is derived from that of `boost::unordered_flat_map` by a fairly straightforward
process of replacing iterators with visitation where applicable. If
`iterator` and `const_iterator` provide mutable and const access to elements,
respectively, here visitation is granted mutable or const access depending on
the constness of the member function used (there are also `*cvisit` overloads for
explicit const visitation).
The one notable operation not provided is `operator[]`/`at`, which can be
replaced, if in a more convoluted manner, by
xref:#concurrent_flat_map_try_emplace_or_cvisit[`try_emplace_or_visit`].
//-
-182
View File
@@ -1,182 +0,0 @@
[#concurrent]
= Concurrent Containers
:idprefix: concurrent_
Boost.Unordered currently provides just one concurrent container named `boost::concurrent_flat_map`.
`boost::concurrent_flat_map` is a hash table that allows concurrent write/read access from
different threads without having to implement any synchronzation mechanism on the user's side.
[source,c++]
----
std::vector<int> input;
boost::concurrent_flat_map<int,int> m;
...
// process input in parallel
const int num_threads = 8;
std::vector<std::jthread> threads;
std::size_t chunk = input.size() / num_threads; // how many elements per thread
for (int i = 0; i < num_threads; ++i) {
threads.emplace_back([&,i] {
// calculate the portion of input this thread takes care of
std::size_t start = i * chunk;
std::size_t end = (i == num_threads - 1)? input.size(): (i + 1) * chunk;
for (std::size_t n = start; n < end; ++n) {
m.emplace(input[n], calculation(input[n]));
}
});
}
----
In the example above, threads access `m` without synchronization, just as we'd do in a
single-threaded scenario. In an ideal setting, if a given workload is distributed among
_N_ threads, execution is _N_ times faster than with one thread —this limit is
never attained in practice due to synchronization overheads and _contention_ (one thread
waiting for another to leave a locked portion of the map), but `boost::concurrent_flat_map`
is designed to perform with very little overhead and typically achieves _linear scaling_
(that is, performance is proportional to the number of threads up to the number of
logical cores in the CPU).
== Visitation-based API
The first thing a new user of `boost::concurrent_flat_map` will notice is that this
class _does not provide iterators_ (which makes it technically
not a https://en.cppreference.com/w/cpp/named_req/Container[Container^]
in the C++ standard sense). The reason for this is that iterators are inherently
thread-unsafe. Consider this hypothetical code:
[source,c++]
----
auto it = m.find(k); // A: get an iterator pointing to the element with key k
if (it != m.end() ) {
some_function(*it); // B: use the value of the element
}
----
In a multithreaded scenario, the iterator `it` may be invalid at point B if some other
thread issues an `m.erase(k)` operation between A and B. There are designs that
can remedy this by making iterators lock the element they point to, but this
approach lends itself to high contention and can easily produce deadlocks in a program.
`operator[]` has similar concurrency issues, and is not provided by
`boost::concurrent_flat_map` either. Instead, element access is done through
so-called _visitation functions_:
[source,c++]
----
m.visit(k, [](const auto& x) { // x is the element with key k (if it exists)
some_function(x); // use it
});
----
The visitation function passed by the user (in this case, a lambda function)
is executed internally by `boost::concurrent_flat_map` in
a thread-safe manner, so it can access the element without worrying about other
threads interfering in the process.
On the other hand, a visitation function can _not_ access the container itself:
[source,c++]
----
m.visit(k, [&](const auto& x) {
some_function(x, m.size()); // forbidden: m can't be accessed inside visitation
});
----
Access to a different container is allowed, though:
[source,c++]
----
m.visit(k, [&](const auto& x) {
if (some_function(x)) {
m2.insert(x); // OK, m2 is a different boost::concurrent_flat_map
}
});
----
But, in general, visitation functions should be as lightweight as possible to
reduce contention and increase parallelization. In some cases, moving heavy work
outside of visitation may be beneficial:
[source,c++]
----
std::optional<value_type> o;
bool found = m.visit(k, [&](const auto& x) {
o = x;
});
if (found) {
some_heavy_duty_function(*o);
}
----
Visitation is prominent in the API provided by `boost::concurrent_flat_map`, and
many classical operations have visitation-enabled variations:
[source,c++]
----
m.insert_or_visit(x, [](auto& y) {
// if insertion failed because of an equivalent element y,
// do something with it, for instance:
++y.second; // increment the mapped part of the element
});
----
Note that in this last example the visitation function could actually _modify_
the element: as a general rule, operations on a `boost::concurrent_flat_map` `m`
will grant visitation functions const/non-const access to the element depending on whether
`m` is const/non-const. Const access can be always be explicitly requested
by using `cvisit` overloads (for instance, `insert_or_cvisit`) and may result
in higher parallelization. Consult the xref:#concurrent_flat_map[reference]
for a complete list of available operations.
== Whole-table Visitation
In the absence of iterators, `boost::concurrent_flat_map` provides `visit_all`
as an alternative way to process all the elements in the map:
[source,c++]
----
m.visit_all([](auto& x) {
x.second = 0; // reset the mapped part of the element
});
----
In C++17 compilers implementing standard parallel algorithms, whole-table
visitation can be parallelized:
[source,c++]
----
m.visit_all(std::execution::par, [](auto& x) { // run in parallel
x.second = 0; // reset the mapped part of the element
});
----
There is another whole-table visitation operation, `erase_if`:
[source,c++]
----
m.erase_if([](auto& x) {
return x.second == 0; // erase the elements whose mapped value is zero
});
----
`erase_if` can also be parallelized. Note that, in order to increase efficiency,
these operations do not block the table during execution: this implies that elements
may be inserted, modified or erased by other threads during visitation. It is
advisable not to assume too much about the exact global state of a `boost::concurrent_flat_map`
at any point in your program.
== Blocking Operations
``boost::concurrent_flat_map``s can be copied, assigned, cleared and merged just like any
Boost.Unordered container. Unlike most other operations, these are _blocking_,
that is, all other threads are prevented from accesing the tables involved while a copy, assignment,
clear or merge operation is in progress. Blocking is taken care of automatically by the library
and the user need not take any special precaution, but overall performance may be affected.
Another blocking operation is _rehashing_, which happens explicitly via `rehash`/`reserve`
or during insertion when the table's load hits `max_load()`. As with non-concurrent containers,
reserving space in advance of bulk insertions will generally speed up the process.
File diff suppressed because it is too large Load Diff
+3 -3
View File
@@ -9,10 +9,10 @@ Copyright (C) 2003, 2004 Jeremy B. Maitin-Shepard
Copyright (C) 2005-2008 Daniel James
Copyright (C) 2022-2023 Christian Mazakas
Copyright (C) 2022 Christian Mazakas
Copyright (C) 2022-2023 Joaqu&iacute;n M L&oacute;pez Mu&ntilde;oz
Copyright (C) 2022 Joaqu&iacute;n M L&oacute;pez Mu&ntilde;oz
Copyright (C) 2022-2023 Peter Dimov
Copyright (C) 2022 Peter Dimov
Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+3 -3
View File
@@ -20,14 +20,14 @@ class unordered_map;
The hash function comes first as you might want to change the hash function
but not the equality predicate. For example, if you wanted to use the
https://en.wikipedia.org/wiki/Fowler%E2%80%93Noll%E2%80%93Vo_hash_function#FNV-1a_hash[FNV-1a hash^] you could write:
http://www.isthe.com/chongo/tech/comp/fnv/[FNV-1 hash^] you could write:
```
boost::unordered_map<std::string, int, hash::fnv_1a>
boost::unordered_map<std::string, int, hash::fnv_1>
dictionary;
```
There is an link:../../examples/fnv1.hpp[implementation of FNV-1a^] in the examples directory.
There is an link:../../examples/fnv1.hpp[implementation of FNV-1^] in the examples directory.
If you wish to use a different equality function, you will also need to use a matching hash function. For example, to implement a case insensitive dictionary you need to define a case insensitive equality predicate and hash function:
+120 -60
View File
@@ -4,65 +4,26 @@
:idprefix: intro_
:cpp: C++
link:https://en.wikipedia.org/wiki/Hash_table[Hash tables^] are extremely popular
computer data structures and can be found under one form or another in virtually any programming
language. Whereas other associative structures such as rb-trees (used in {cpp} by `std::set` and `std::map`)
have logarithmic-time complexity for insertion and lookup, hash tables, if configured properly,
perform these operations in constant time on average, and are generally much faster.
For accessing data based on key lookup, the {cpp} standard library offers `std::set`,
`std::map`, `std::multiset` and `std::multimap`. These are generally
implemented using balanced binary trees so that lookup time has
logarithmic complexity. That is generally okay, but in many cases a
link:https://en.wikipedia.org/wiki/Hash_table[hash table^] can perform better, as accessing data has constant complexity,
on average. The worst case complexity is linear, but that occurs rarely and
with some care, can be avoided.
{cpp} introduced __unordered associative containers__ `std::unordered_set`, `std::unordered_map`,
`std::unordered_multiset` and `std::unordered_multimap` in {cpp}11, but research on hash tables
hasn't stopped since: advances in CPU architectures such as
more powerful caches, link:https://en.wikipedia.org/wiki/Single_instruction,_multiple_data[SIMD] operations
and increasingly available link:https://en.wikipedia.org/wiki/Multi-core_processor[multicore processors]
open up possibilities for improved hash-based data structures and new use cases that
are simply beyond reach of unordered associative containers as specified in 2011.
Also, the existing containers require a 'less than' comparison object
to order their elements. For some data types this is impossible to implement
or isn't practical. In contrast, a hash table only needs an equality function
and a hash function for the key.
Boost.Unordered offers a catalog of hash containers with different standards compliance levels,
performances and intented usage scenarios:
[caption=, title='Table {counter:table-counter}. Boost.Unordered containers']
[cols="1,1,.^1", frame=all, grid=all]
|===
^h|
^h|*Node-based*
^h|*Flat*
^.^h|*Closed addressing*
^m|
boost::unordered_set +
boost::unordered_map +
boost::unordered_multiset +
boost::unordered_multimap
^| N/A
^.^h|*Open addressing*
^m| boost::unordered_node_set +
boost::unordered_node_map
^m| boost::unordered_flat_set +
boost::unordered_flat_map
^.^h|*Concurrent*
^|
^| `boost::concurrent_flat_map`
|===
* **Closed-addressing containers** are fully compliant with the C++ specification
for unordered associative containers and feature one of the fastest implementations
in the market within the technical constraints imposed by the required standard interface.
* **Open-addressing containers** rely on much faster data structures and algorithms
(more than 2 times faster in typical scenarios) while slightly diverging from the standard
interface to accommodate the implementation.
There are two variants: **flat** (the fastest) and **node-based**, which
provide pointer stability under rehashing at the expense of being slower.
* Finally, `boost::concurrent_flat_map` (the only **concurrent container** provided
at present) is a hashmap designed and implemented to be used in high-performance
multithreaded scenarios. Its interface is radically different from that of regular C++ containers.
All sets and maps in Boost.Unordered are instantiatied similarly as
`std::unordered_set` and `std::unordered_map`, respectively:
With this in mind, unordered associative containers were added to the {cpp}
standard. Boost.Unordered provides an implementation of the containers described in {cpp}11,
with some <<compliance,deviations from the standard>> in
order to work with non-{cpp}11 compilers and libraries.
`unordered_set` and `unordered_multiset` are defined in the header
`<boost/unordered/unordered_set.hpp>`
[source,c++]
----
namespace boost {
@@ -71,20 +32,116 @@ namespace boost {
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_set;
// same for unordered_multiset, unordered_flat_set, unordered_node_set
class unordered_set;
template<
class Key,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_multiset;
}
----
`unordered_map` and `unordered_multimap` are defined in the header
`<boost/unordered/unordered_map.hpp>`
[source,c++]
----
namespace boost {
template <
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_map;
// same for unordered_multimap, unordered_flat_map, unordered_node_map
// and concurrent_flat_map
template<
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_multimap;
}
----
These containers, and all other implementations of standard unordered associative
containers, use an approach to its internal data structure design called
*closed addressing*. Starting in Boost 1.81, Boost.Unordered also provides containers
`boost::unordered_flat_set` and `boost::unordered_flat_map`, which use a
different data structure strategy commonly known as *open addressing* and depart in
a small number of ways from the standard so as to offer much better performance
in exchange (more than 2 times faster in typical scenarios):
[source,c++]
----
// #include <boost/unordered/unordered_flat_set.hpp>
//
// Note: no multiset version
namespace boost {
template <
class Key,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_flat_set;
}
----
[source,c++]
----
// #include <boost/unordered/unordered_flat_map.hpp>
//
// Note: no multimap version
namespace boost {
template <
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_flat_map;
}
----
`boost::unordered_flat_set` and `boost::unordered_flat_map` require a
reasonably compliant C++11 compiler.
Boost.Unordered containers are used in a similar manner to the normal associative
containers:
[source,cpp]
----
typedef boost::unordered_map<std::string, int> map;
map x;
x["one"] = 1;
x["two"] = 2;
x["three"] = 3;
assert(x.at("one") == 1);
assert(x.find("missing") == x.end());
----
But since the elements aren't ordered, the output of:
[source,c++]
----
for(const map::value_type& i: x) {
std::cout<<i.first<<","<<i.second<<"\n";
}
----
can be in any order. For example, it might be:
[source]
----
two,2
one,1
three,3
----
To store an object in an unordered associative container requires both a
key equality function and a hash function. The default function objects in
the standard containers support a few basic types including integer types,
@@ -95,3 +152,6 @@ you have to extend Boost.Hash to support the type or use
your own custom equality predicates and hash functions. See the
<<hash_equality,Equality Predicates and Hash Functions>> section
for more details.
There are other differences, which are listed in the
<<comparison,Comparison with Associative Containers>> section.
+15 -41
View File
@@ -4,10 +4,9 @@
= Implementation Rationale
== Closed-addressing Containers
== boost::unordered_[multi]set and boost::unordered_[multi]map
`boost::unordered_[multi]set` and `boost::unordered_[multi]map`
adhere to the standard requirements for unordered associative
These containers adhere to the standard requirements for unordered associative
containers, so the interface was fixed. But there are
still some implementation decisions to make. The priorities are
conformance to the standard and portability.
@@ -65,8 +64,8 @@ of bits in the hash value, so it was only used when `size_t` was 64 bit.
Since release 1.79.0, https://en.wikipedia.org/wiki/Hash_function#Fibonacci_hashing[Fibonacci hashing]
is used instead. With this implementation, the bucket number is determined
by using `(h * m) >> (w - k)`, where `h` is the hash value, `m` is `2^w` divided
by the golden ratio, `w` is the word size (32 or 64), and `2^k` is the
by using `(h * m) >> (w - k)`, where `h` is the hash value, `m` is the golden
ratio multiplied by `2^w`, `w` is the word size (32 or 64), and `2^k` is the
number of buckets. This provides a good compromise between speed and
distribution.
@@ -74,7 +73,7 @@ Since release 1.80.0, prime numbers are chosen for the number of buckets in
tandem with sophisticated modulo arithmetic. This removes the need for "mixing"
the result of the user's hash function as was used for release 1.79.0.
== Open-addresing Containers
== boost::unordered_flat_set and boost::unordered_flat_map
The C++ standard specification of unordered associative containers impose
severe limitations on permissible implementations, the most important being
@@ -82,33 +81,30 @@ that closed addressing is implicitly assumed. Slightly relaxing this specificati
opens up the possibility of providing container variations taking full
advantage of open-addressing techniques.
The design of `boost::unordered_flat_set`/`unordered_node_set` and `boost::unordered_flat_map`/`unordered_node_map` has been
The design of `boost::unordered_flat_set` and `boost::unordered_flat_map` has been
guided by Peter Dimov's https://pdimov.github.io/articles/unordered_dev_plan.html[Development Plan for Boost.Unordered^].
We discuss here the most relevant principles.
=== Hash Function
=== Hash function
Given its rich functionality and cross-platform interoperability,
`boost::hash` remains the default hash function of open-addressing containers.
`boost::hash` remains the default hash function of `boost::unordered_flat_set` and `boost::unordered_flat_map`.
As it happens, `boost::hash` for integral and other basic types does not possess
the statistical properties required by open addressing; to cope with this,
we implement a post-mixing stage:
{nbsp}{nbsp}{nbsp}{nbsp} _a_ <- _h_ *mulx* _C_, +
{nbsp}{nbsp}{nbsp}{nbsp} _h_ <- *high*(_a_) *xor* *low*(_a_),
where *mulx* is an _extended multiplication_ (128 bits in 64-bit architectures, 64 bits in 32-bit environments),
and *high* and *low* are the upper and lower halves of an extended word, respectively.
In 64-bit architectures, _C_ is the integer part of 2^64^&#8725;https://en.wikipedia.org/wiki/Golden_ratio[_&phi;_],
whereas in 32 bits _C_ = 0xE817FB2Du has been obtained from https://arxiv.org/abs/2001.05304[Steele and Vigna (2021)^].
* 64-bit architectures: we use the `xmx` function defined in
Jon Maiga's http://jonkagstrom.com/bit-mixer-construction/index.html[The construct of a bit mixer^].
* 32-bit architectures: the mixer used was selected from a set generated with https://github.com/skeeto/hash-prospector[Hash Function Prospector^]
as the best overall performer in our internal benchmarks. Score assigned by Hash Prospector is 333.7934929677524.
When using a hash function directly suitable for open addressing, post-mixing can be opted out by via a dedicated <<hash_traits_hash_is_avalanching,`hash_is_avalanching`>>trait.
`boost::hash` specializations for string types are marked as avalanching.
=== Platform Interoperability
=== Platform interoperability
The observable behavior of `boost::unordered_flat_set`/`unordered_node_set` and `boost::unordered_flat_map`/`unordered_node_map` is deterministically
identical across different compilers as long as their ``std::size_t``s are the same size and the user-provided
The observable behavior of `boost::unordered_flat_set` and `boost::unordered_flat_map` is deterministically
identical across different compilers as long as their ``std::size_type``s are the same size and the user-provided
hash function and equality predicate are also interoperable
&#8212;this includes elements being ordered in exactly the same way for the same sequence of
operations.
@@ -117,25 +113,3 @@ Although the implementation internally uses SIMD technologies, such as https://e
and https://en.wikipedia.org/wiki/ARM_architecture_family#Advanced_SIMD_(NEON)[Neon^], when available,
this does not affect interoperatility. For instance, the behavior is the same
for Visual Studio on an x64-mode Intel CPU with SSE2 and for GCC on an IBM s390x without any supported SIMD technology.
== Concurrent Containers
The same data structure used by Boost.Unordered open-addressing containers has been chosen
also as the foundation of `boost::concurrent_flat_map`:
* Open-addressing is faster than closed-addressing alternatives, both in non-concurrent and
concurrent scenarios.
* Open-addressing layouts are eminently suitable for concurrent access and modification
with minimal locking. In particular, the metadata array can be used for implementations of
lookup that are lock-free up to the last step of actual element comparison.
* Layout compatibility with Boost.Unordered flat containers allows for fast transfer
of all elements between `boost::concurrent_flat_map` and `boost::unordered_flat_map`.
(This feature has not been implemented yet.)
=== Hash Function and Platform Interoperability
`boost::concurrent_flat_map` makes the same decisions and provides the same guarantees
as Boost.Unordered open-addressing containers with regards to
xref:#rationale_hash_function[hash function defaults] and
xref:#rationale_platform_interoperability[platform interoperability].
-3
View File
@@ -8,6 +8,3 @@ include::unordered_multiset.adoc[]
include::hash_traits.adoc[]
include::unordered_flat_map.adoc[]
include::unordered_flat_set.adoc[]
include::unordered_node_map.adoc[]
include::unordered_node_set.adoc[]
include::concurrent_flat_map.adoc[]
-179
View File
@@ -1,179 +0,0 @@
[#structures]
= Data Structures
:idprefix: structures_
== Closed-addressing Containers
++++
<style>
.imageblock > .title {
text-align: inherit;
}
</style>
++++
Boost.Unordered sports one of the fastest implementations of closed addressing, also commonly known as https://en.wikipedia.org/wiki/Hash_table#Separate_chaining[separate chaining]. An example figure representing the data structure is below:
[#img-bucket-groups,.text-center]
.A simple bucket group approach
image::bucket-groups.png[align=center]
An array of "buckets" is allocated and each bucket in turn points to its own individual linked list. This makes meeting the standard requirements of bucket iteration straight-forward. Unfortunately, iteration of the entire container is often times slow using this layout as each bucket must be examined for occupancy, yielding a time complexity of `O(bucket_count() + size())` when the standard requires complexity to be `O(size())`.
Canonical standard implementations will wind up looking like the diagram below:
[.text-center]
.The canonical standard approach
image::singly-linked.png[align=center,link=../diagrams/singly-linked.png,window=_blank]
It's worth noting that this approach is only used by pass:[libc++] and pass:[libstdc++]; the MSVC Dinkumware implementation uses a different one. A more detailed analysis of the standard containers can be found http://bannalia.blogspot.com/2013/10/implementation-of-c-unordered.html[here].
This unusually laid out data structure is chosen to make iteration of the entire container efficient by inter-connecting all of the nodes into a singly-linked list. One might also notice that buckets point to the node _before_ the start of the bucket's elements. This is done so that removing elements from the list can be done efficiently without introducing the need for a doubly-linked list. Unfortunately, this data structure introduces a guaranteed extra indirection. For example, to access the first element of a bucket, something like this must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* p = buckets[idx]; // first load
node* n = p->next; // second load
if (n && is_in_bucket(n, idx)) {
value_type const& v = *n; // third load
// ...
}
```
With a simple bucket group layout, this is all that must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* n = buckets[idx]; // first load
if (n) {
value_type const& v = *n; // second load
// ...
}
```
In practice, the extra indirection can have a dramatic performance impact to common operations such as `insert`, `find` and `erase`. But to keep iteration of the container fast, Boost.Unordered introduces a novel data structure, a "bucket group". A bucket group is a fixed-width view of a subsection of the buckets array. It contains a bitmask (a `std::size_t`) which it uses to track occupancy of buckets and contains two pointers so that it can form a doubly-linked list with non-empty groups. An example diagram is below:
[#img-fca-layout]
.The new layout used by Boost
image::fca.png[align=center]
Thus container-wide iteration is turned into traversing the non-empty bucket groups (an operation with constant time complexity) which reduces the time complexity back to `O(size())`. In total, a bucket group is only 4 words in size and it views `sizeof(std::size_t) * CHAR_BIT` buckets meaning that for all common implementations, there's only 4 bits of space overhead per bucket introduced by the bucket groups.
A more detailed description of Boost.Unordered's closed-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/06/advancing-state-of-art-for.html[external article].
For more information on implementation rationale, read the
xref:#rationale_closed_addressing_containers[corresponding section].
== Open-addressing Containers
The diagram shows the basic internal layout of `boost::unordered_flat_map`/`unordered_node_map` and
`boost:unordered_flat_set`/`unordered_node_set`.
[#img-foa-layout]
.Open-addressing layout used by Boost.Unordered.
image::foa.png[align=center]
As with all open-addressing containers, elements (or pointers to the element nodes in the case of
`boost::unordered_node_map` and `boost::unordered_node_set`) are stored directly in the bucket array.
This array is logically divided into 2^_n_^ _groups_ of 15 elements each.
In addition to the bucket array, there is an associated _metadata array_ with 2^_n_^
16-byte words.
[#img-foa-metadata]
.Breakdown of a metadata word.
image::foa-metadata.png[align=center]
A metadata word is divided into 15 _h_~_i_~ bytes (one for each associated
bucket), and an _overflow byte_ (_ofw_ in the diagram). The value of _h_~_i_~ is:
- 0 if the corresponding bucket is empty.
- 1 to encode a special empty bucket called a _sentinel_, which is used internally to
stop iteration when the container has been fully traversed.
- If the bucket is occupied, a _reduced hash value_ obtained from the hash value of
the element.
When looking for an element with hash value _h_, SIMD technologies such as
https://en.wikipedia.org/wiki/SSE2[SSE2] and
https://en.wikipedia.org/wiki/ARM_architecture_family#Advanced_SIMD_(Neon)[Neon] allow us
to very quickly inspect the full metadata word and look for the reduced value of _h_ among all the
15 buckets with just a handful of CPU instructions: non-matching buckets can be
readily discarded, and those whose reduced hash value matches need be inspected via full
comparison with the corresponding element. If the looked-for element is not present,
the overflow byte is inspected:
- If the bit in the position _h_ mod 8 is zero, lookup terminates (and the
element is not present).
- If the bit is set to 1 (the group has been _overflowed_), further groups are
checked using https://en.wikipedia.org/wiki/Quadratic_probing[_quadratic probing_], and
the process is repeated.
Insertion is algorithmically similar: empty buckets are located using SIMD,
and when going past a full group its corresponding overflow bit is set to 1.
In architectures without SIMD support, the logical layout stays the same, but the metadata
word is codified using a technique we call _bit interleaving_: this layout allows us
to emulate SIMD with reasonably good performance using only standard arithmetic and
logical operations.
[#img-foa-metadata-interleaving]
.Bit-interleaved metadata word.
image::foa-metadata-interleaving.png[align=center]
A more detailed description of Boost.Unordered's open-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/11/inside-boostunorderedflatmap.html[external article].
For more information on implementation rationale, read the
xref:#rationale_open_addresing_containers[corresponding section].
== Concurrent Containers
`boost::concurrent_flat_map` uses the basic
xref:#structures_open_addressing_containers[open-addressing layout] described above
augmented with synchronization mechanisms.
[#img-cfoa-layout]
.Concurrent open-addressing layout used by Boost.Unordered.
image::cfoa.png[align=center]
Two levels of synchronization are used:
* Container level: A read-write mutex is used to control access from any operation
to the container. Typically, such access is in read mode (that is, concurrent) even
for modifying operations, so for most practical purposes there is no thread
contention at this level. Access is only in write mode (blocking) when rehashing or
performing container-wide operations such as swapping or assignment.
* Group level: Each 15-slot group is equipped with an 8-byte word containing:
** A read-write spinlock for synchronized access to any element in the group.
** An atomic _insertion counter_ used for optimistic insertion as described
below.
By using atomic operations to access the group metadata, lookup is (group-level)
lock-free up to the point where an actual comparison needs to be done with an element
that has been previously SIMD-matched: only then it's the group's spinlock used.
Insertion uses the following _optimistic algorithm_:
* The value of the insertion counter for the initial group in the probe
sequence is locally recorded (let's call this value `c0`).
* Lookup is as described above. If lookup finds no equivalent element,
search for an available slot for insertion successively locks/unlocks
each group in the probing sequence.
* When an available slot is located, it is preemptively occupied (its
reduced hash value is set) and the insertion counter is atomically
incremented: if no other thread has incremented the counter during the
whole operation (which is checked by comparing with `c0`), then we're
good to go and complete the insertion, otherwise we roll back and start
over.
This algorithm has very low contention both at the lookup and actual
insertion phases in exchange for the possibility that computations have
to be started over if some other thread interferes in the process by
performing a succesful insertion beginning at the same group. In
practice, the start-over frequency is extremely small, measured in the range
of parts per million for some of our benchmarks.
For more information on implementation rationale, read the
xref:#rationale_concurrent_containers[corresponding section].
+10 -11
View File
@@ -1,5 +1,5 @@
[#unordered_flat_map]
== Class Template unordered_flat_map
== Class template unordered_flat_map
:idprefix: unordered_flat_map_
@@ -280,7 +280,6 @@ namespace boost {
unordered_flat_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_flat_map<K, T, H, P, A>::size_type
xref:#unordered_flat_map_erase_if[erase_if](unordered_flat_map<K, T, H, P, A>& c, Predicate pred);
@@ -860,7 +859,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the container from `*first`.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, pointers and references, but only if the insert causes the load to be greater than the maximum load.
@@ -876,7 +875,7 @@ template<class K, class... Args>
std::pair<iterator, bool> try_emplace(K&& k, Args&&... args);
```
Inserts a new element into the container if there is no existing element with key `k` contained within it.
Inserts a new node into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -905,7 +904,7 @@ unlike xref:#unordered_flat_map_emplace[emplace], which simply forwards all argu
Can invalidate iterators pointers and references, but only if the insert causes the load to be greater than the maximum load.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
--
@@ -921,7 +920,7 @@ template<class K, class... Args>
iterator try_emplace(const_iterator hint, K&& k, Args&&... args);
```
Inserts a new element into the container if there is no existing element with key `k` contained within it.
Inserts a new node into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -950,7 +949,7 @@ unlike xref:#unordered_flat_map_emplace_hint[emplace_hint], which simply forward
Can invalidate iterators pointers and references, but only if the insert causes the load to be greater than the maximum load.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
--
@@ -1161,7 +1160,7 @@ template<class K>
[horizontal]
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `end()` if no such element exists.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1174,7 +1173,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1187,7 +1186,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1203,7 +1202,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+6 -7
View File
@@ -1,5 +1,5 @@
[#unordered_flat_set]
== Class Template unordered_flat_set
== Class template unordered_flat_set
:idprefix: unordered_flat_set_
@@ -234,7 +234,6 @@ namespace boost {
unordered_flat_set<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_flat_set<K, T, H, P, A>::size_type
xref:#unordered_flat_set_erase_if[erase_if](unordered_flat_set<K, T, H, P, A>& c, Predicate pred);
@@ -838,7 +837,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the container from `*first`.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, pointers and references, but only if the insert causes the load to be greater than the maximum load.
@@ -972,7 +971,7 @@ template<class K>
[horizontal]
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `end()` if no such element exists.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -985,7 +984,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -998,7 +997,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1014,7 +1013,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+11 -12
View File
@@ -1,5 +1,5 @@
[#unordered_map]
== Class Template unordered_map
== Class template unordered_map
:idprefix: unordered_map_
@@ -286,7 +286,6 @@ namespace boost {
unordered_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_map<K, T, H, P, A>::size_type
xref:#unordered_map_erase_if[erase_if](unordered_map<K, T, H, P, A>& c, Predicate pred);
@@ -996,7 +995,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into `X` from `*first`.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load factor to be greater to or equal to the maximum load factor. +
+
@@ -1010,11 +1009,11 @@ template<class... Args>
std::pair<iterator, bool> try_emplace(const key_type& k, Args&&... args);
template<class... Args>
std::pair<iterator, bool> try_emplace(key_type&& k, Args&&... args);
template<class K, class... Args>
template <class K, class... Args>
std::pair<iterator, bool> try_emplace(K&& k, Args&&... args)
```
Inserts a new element into the container if there is no existing element with key `k` contained within it.
Inserts a new node into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -1044,7 +1043,7 @@ Can invalidate iterators, but only if the insert causes the load factor to be gr
Pointers and references to elements are never invalidated.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
If the compiler doesn't support variadic template arguments or rvalue references, this is emulated for up to `10` arguments, with no support for rvalue references or move semantics.
@@ -1063,7 +1062,7 @@ template<class K, class... Args>
iterator try_emplace(const_iterator hint, K&& k, Args&&... args);
```
Inserts a new element into the container if there is no existing element with key `k` contained within it.
Inserts a new node into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -1095,7 +1094,7 @@ Can invalidate iterators, but only if the insert causes the load factor to be gr
Pointers and references to elements are never invalidated.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
If the compiler doesn't support variadic template arguments or rvalue references, this is emulated for up to `10` arguments, with no support for rvalue references or move semantics.
@@ -1467,7 +1466,7 @@ template<typename CompatibleKey, typename CompatibleHash, typename CompatiblePre
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `b.end()` if no such element exists.
Notes:;; The templated overloads containing `CompatibleKey`, `CompatibleHash` and `CompatiblePredicate` are non-standard extensions which allow you to use a compatible hash function and equality predicate for a key of a different type in order to avoid an expensive type cast. In general, its use is not encouraged and instead the `K` member function templates should be used. +
+
The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1480,7 +1479,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1493,7 +1492,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1509,7 +1508,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+6 -7
View File
@@ -1,5 +1,5 @@
[#unordered_multimap]
== Class Template unordered_multimap
== Class template unordered_multimap
:idprefix: unordered_multimap_
@@ -253,7 +253,6 @@ namespace boost {
unordered_multimap<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_multimap<K, T, H, P, A>::size_type
xref:#unordered_multimap_erase_if[erase_if](unordered_multimap<K, T, H, P, A>& c, Predicate pred);
@@ -942,7 +941,7 @@ void insert(std::initializer_list<value_type> il);
Inserts a range of elements into the container.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into `X` from `*first`.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load factor to be greater to or equal to the maximum load factor. +
+
@@ -1224,7 +1223,7 @@ template<typename CompatibleKey, typename CompatibleHash, typename CompatiblePre
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `b.end()` if no such element exists.
Notes:;; The templated overloads containing `CompatibleKey`, `CompatibleHash` and `CompatiblePredicate` are non-standard extensions which allow you to use a compatible hash function and equality predicate for a key of a different type in order to avoid an expensive type cast. In general, its use is not encouraged and instead the `K` member function templates should be used. +
+
The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1237,7 +1236,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1250,7 +1249,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1266,7 +1265,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---

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