Summary:
This is the first step in cutting the crazy dependencies of
communication module to the whole database. Includes have been
reorganized and conversion between DecodedValue and other Memgraph types
(TypedValue and PropertyValue) has been extracted to a higher level
component called `communication/conversion`. Encoder, like Decoder, now
relies only on DecodedValue. Hopefully the conversion operations will
not significantly slow down streaming Bolt data.
Additionally, Bolt ID is now wrapped in a class. Our storage model uses
*unsigned* int64, while Bolt expects *signed* int64. The implicit
conversions may lead to encode/decode errors, so the wrapper should
enforce some type safety to prevent such errors.
Reviewers: mferencevic, buda, msantl, mtomic
Reviewed By: mferencevic, mtomic
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1453
Summary:
This diff implements OpenSSL support in the network stack.
Currently SSL support is only enabled for Bolt connections,
support for RPC connections will be added in another diff.
Reviewers: buda, teon.banek
Reviewed By: buda
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1328
Summary: RemoveEdges is an extremely slow operation because it iterates over all the vertices to find the appropriate edge. It kind of messes up the DB usage. This diff stops it ever getting called, but does not delete the function. We might want it to happen **very rarely**, but it's probably best never to call it.
Reviewers: buda, mferencevic
Reviewed By: mferencevic
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D910
Summary:
Increased query execution timeout.
Enabled global queries by default.
Implemented faster RandomElement for vertices and edges.
Changed long running verify message format.
Changed vertex and edge count to be per worker.
Reviewers: mislav.bradac
Reviewed By: mislav.bradac
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D864
Summary:
Batch creation now does not iterate over V**2 vertex pairs, but over V vertices and generates E/V random edges for each one. Assuming there is an index over :V(id), this is much more efficient and supports larger vertex counts (Ferenc: modify the test config as desired).
An additional requirement is that E/V (for each worker) is a whole number.
Reviewers: mferencevic
Reviewed By: mferencevic
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D860
