memgraph/tests/benchmark/query
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
..
eval.cpp Use execution memory for Frame allocations 2019-06-24 15:05:44 +02:00
execution.cpp Add PoolResource benchmarking in execution and skiplist 2019-08-27 09:32:01 +02:00
planner.cpp Remove unique from label-prop index 2019-05-23 12:39:41 +02:00
profile.cpp Output profiling data within the summary in JSON format 2019-01-17 13:54:06 +01:00
stripped.cpp Move Parsing utils from query/common to frontend/parsing 2019-07-11 12:12:59 +02:00