memgraph/tests/benchmark
Teon Banek 023538c19c Add PoolResource benchmarking in execution and skiplist
Summary:
With a pool allocator, lookups in STL set and map are up to 50% faster.
This is probably due to contiguous memory of pooled objects, i.e. nodes
of those containers. In some cases, the lookup outperforms the SkipList.
Insertions are also faster, though not as dramatically, up to 30%. This
does make a significant difference when the STL containers are used in a
single thread as they outperform the SkipList significantly.

Reviewers: mferencevic, ipaljak

Reviewed By: mferencevic

Subscribers: pullbot

Differential Revision: https://phabricator.memgraph.io/D2326
2019-08-27 09:32:01 +02:00
..
data_structures RingBuffer - buffer on heap instead of stack 2017-11-02 12:07:23 +01:00
query Add PoolResource benchmarking in execution and skiplist 2019-08-27 09:32:01 +02:00
CMakeLists.txt Remove distributed 2019-07-17 15:23:42 +02:00
edge_storage.cpp Edge storage benchmark added 2017-09-08 13:12:20 +02:00
expansion.cpp Migrate to C++17 2019-04-23 14:46:44 +02:00
mvcc.cpp Refactor storage file structure 2018-11-06 18:17:31 +01:00
rpc.cpp Add SSL support to HA RPC 2019-05-20 12:53:52 +02:00
skip_list_common.hpp Implement new SkipList 2019-01-14 13:01:15 +01:00
skip_list_random.cpp Implement new SkipList 2019-01-14 13:01:15 +01:00
skip_list_real_world.cpp Implement new SkipList 2019-01-14 13:01:15 +01:00
skip_list_same_item.cpp Implement new SkipList 2019-01-14 13:01:15 +01:00
skip_list_vs_stl.cpp Add PoolResource benchmarking in execution and skiplist 2019-08-27 09:32:01 +02:00
storage_v2_gc.cpp Implement existence constraints 2019-08-20 16:27:36 +02:00
tx_engine.cpp Remove virtual and pimpl from single node 2018-10-09 11:48:30 +02:00