Open-source graph database, built for real-time streaming data, compatible with Neo4j.
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Teon Banek 9f460914ed Separate distributed implementation of GraphDbAccessor
Summary:
GraphDbAccessor is now constructed only through GraphDb. This allows the
concrete GraphDb to instantiate a concrete GraphDbAccessor. This allows
us to use virtual calls, so that the implementation may be kept
separate. The major downside of doing things this way is heap allocation
of GraphDbAccessor. In case it turns out to be a real performance
issues, another solution with pointer to static implementation may be
used.

InsertVertexIntoRemote is now a non-member function, which reduces
coupling. It made no sense for it to be member function because it used
only the public parts of GraphDbAccessor.

Reviewers: msantl, mtomic, mferencevic

Reviewed By: msantl

Subscribers: pullbot

Differential Revision: https://phabricator.memgraph.io/D1504
2018-07-26 09:16:39 +02:00
cmake Cleanup and reorganize release directory 2018-01-15 10:12:59 +01:00
config Add support for the id function 2018-07-04 22:14:13 +02:00
customers Implement manage script for card fraud demo 2018-02-12 13:29:12 +01:00
docs Add initial version of dynamic partitioning feature spec 2018-07-23 17:39:22 +02:00
experimental Integrate code coverage with Apollo 2018-01-15 12:20:11 +01:00
libs Add kafka library and integrate it into memgraph 2018-07-06 15:52:23 +02:00
poc Clean utils folder (namespaces, function names) 2018-04-22 09:44:32 +02:00
release Install openssl inside docker, update order of sections in the documentation 2018-06-22 18:44:11 +02:00
src Separate distributed implementation of GraphDbAccessor 2018-07-26 09:16:39 +02:00
tests Separate distributed implementation of GraphDbAccessor 2018-07-26 09:16:39 +02:00
tools Separate distributed implementation of GraphDbAccessor 2018-07-26 09:16:39 +02:00
.arcconfig arcconfig: Default to master for diff and land 2017-11-07 18:41:51 +01:00
.clang-format Edges data structure now supports multiple edge filtering (implicit OR) 2017-09-26 13:46:18 +02:00
.gdbinit Add pretty printer to gdb for TypedValue 2017-08-16 11:32:25 +02:00
.gitignore Replace boost with capnp in RPC 2018-06-04 10:45:12 +02:00
.ycm_extra_conf.py Add kafka library and integrate it into memgraph 2018-07-06 15:52:23 +02:00
apollo_archives.py Refactor Apollo build projects 2018-03-27 13:47:18 +02:00
apollo_archives.yaml Refactor Apollo build projects 2018-03-27 13:47:18 +02:00
apollo_build.yaml Increase init timeout 2018-05-18 14:32:41 +02:00
CHANGELOG.md Update changelog and bump version to 0.12 2018-07-04 20:41:10 +02:00
CMakeLists.txt Add kafka library and integrate it into memgraph 2018-07-06 15:52:23 +02:00
Doxyfile Add initial version of Apollo config files 2018-01-10 14:46:10 +01:00
Doxylogo.png Doxygen setup 2016-12-20 15:49:52 +01:00
init Implement kafka transform functionality 2018-07-19 12:52:25 +02:00
README.md Migrate command line args to gflgs in tests 2017-07-06 13:54:12 +02:00

memgraph

Memgraph is an ACID compliant high performance transactional distributed in-memory graph database featuring runtime native query compiling, lock free data structures, multi-version concurrency control and asynchronous IO.

dependencies

Memgraph can be compiled using any modern c++ compiler. It mostly relies on the standard template library, however, some things do require external libraries.

Some code contains linux-specific libraries and the build is only supported on a 64 bit linux kernel.

  • linux
  • clang 3.8 (good c++11 support, especially lock free atomics)
  • antlr (compiler frontend)
  • cppitertools
  • fmt format
  • google benchmark
  • google test
  • glog
  • gflags