Summary:
Depends on D2471
- Add pointer to storage to `InterpreterContext`
- Rename `operator()` to `Prepare`
- Use `Interpret` instead of `operator()` (`Interpret` will be removed soon)
- Remove the `in_explicit_transaction` parameter
- Remove the memory resource parameter from `Interpret`
- Remove the storage accessor parameter from `Interpret`
- Fix up tests (remove the `Interpreter` from `database_transaction_timeout`)
Reviewers: teon.banek, mferencevic
Reviewed By: teon.banek
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D2482
Summary: Make `InterpreterContext` a top level instead of a nested struct
Reviewers: teon.banek
Reviewed By: teon.banek
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D2512
Summary:
For HA benchmarks, if one of the executables exits with a status other
than zero, the benchmark should fail.
Also, removing `LOG(INFO)`, since failing benchmarks should flag where to look.
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1921
Summary:
This macro benchmark measures read throughput in HA.
The test first creates a random graph with a given number of nodes
and edges. After that, it concurently performs the following query
for 10 seconds:
```
MATCH (n {id:$random_id})-[e]->(m) RETURN e, m;
```
In other words, it randomly picks a node and returns all its neighbours.
Locally measured results are as follows:
| nodes | edges | queries per second |
| 100 | 500 | 8900 |
| 1000 | 5000 | 2700 |
| 10000 | 50000 | 1200 |
Running the same test on Memgraph single node yields very similar results
(up to a few hundred queries).
Reviewers: msantl
Reviewed By: msantl
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1916
Summary:
Added a new config parameter, replication timeout. This parameter sets the
upper limit to the replication phase and once the timeout exceeds, the
transaction engine stops accepting new transactions.
We could experience this timeout in two cases:
1. a network partition
2. majority of the cluster stops working
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1893
Summary:
During the following scenario:
- start a HA cluster with 3 machines
- find the leader and start sending queries
- SIGTERM the leader but leave other 2 machines untouched
The leader would be stuck in the shutdown phase.
This was happening because during the shutdown phase of the Bolt server, a
`graph_db_accessor` would try to commit a transaction after we've already shut
down Raft server. Raft, although not running, is still thinking it's in the
Leader mode. Tx Engine calls the `SafeToCommit` method to Commit transactions,
and ends up in an infinite loop.
Since Raft was shut down it won't handle any of the incoming RPCs and won't
change it's mode.
The fix here is to shut down the Bolt server before Raft, so we don't have any
pending commits once Raft is shut down.
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1853
Summary:
In this part of log compaction for raft, I've implemented snapshooting
and snapshot recovery. I've also refactored the code a bit, so `RaftServer` now
has a pointer to the `GraphDb` and it can do some things by itself.
Log compaction requires some further work. Since snapshooting isn't synchronous
between peers, and each peer can work at their own pace, once we've compacted
the log so that the next log to be sent to peer `x` isn't available anymore, we
need to send the snapshot over the wire. This means that the next part will
contain the `InstallSnapshotRPC` and then maybe one more that will implement the
logic of sending `LogEntry` or the whole snapshot.
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1834
Summary:
Once a leader loses it's leadership, in order to handle hanging
transactions, we reset the storage and the transaction engine.
This requires to re-apply all the commited entries from the log.
Once we add snapshot (log compaction) we would need to do that also.
One thing to have in mind is the `election_timeout_min` parameter. If it's set
too low it could trigger leader re-election too often.
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1822
Summary:
It seems like the HA benchmark is flaky and unrelated builds fail
because of it. Lets disable it for now until we figure out what is happening.
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1814
Summary:
In order to get more consistent results, give the benchmark a certain
amount of time it is supposed to run and not the number of queries.
The resluts on my machine are as following:
```
duration 10.0004
executed_writes 25190
write_per_second 2518.91
duration 10.0005
executed_writes 25096
write_per_second 2509.48
duration 10.0004
executed_writes 23068
write_per_second 2306.7
duration 10.0006
executed_writes 26390
write_per_second 2638.84
duration 10.0008
executed_writes 26246
write_per_second 2624.38
duration 10.0006
executed_writes 24752
write_per_second 2475.06
duration 10.0027
executed_writes 24818
write_per_second 2481.14
duration 10.0032
executed_writes 25148
write_per_second 2513.99
duration 10.0009
executed_writes 25075
write_per_second 2507.28
duration 10.0008
executed_writes 25846
write_per_second 2584.4
duration 10.0006
executed_writes 25671
write_per_second 2566.96
duration 10.0025
executed_writes 25983
write_per_second 2597.65
```
Reviewers: ipaljak
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1812
Summary:
Each `raft::LogEntry` is now persisted under its own key in our `KVStore`. Locally running our HA feature benchmark yields the following results:
```
duration 23.7
executed_writes: 15000
write_per_second: 632.888
```
This represents about 5x increase in throughput.
Reviewers: msantl
Reviewed By: msantl
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1799
Summary:
A simple benchmark that starts a HA cluster with 3 machines.
The benchmark issues only `CREATE (:Node)` queries.
Local results (debug build), for this raft config, are:
```
duration 4.26899
executed_writes 300
write_per_second 70.2743
```
Reviewers: ipaljak, mferencevic
Reviewed By: ipaljak
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1798
Summary:
To clean the working directory after this diff you should execute:
```
rm src/database/counters_rpc_messages.capnp
rm src/database/counters_rpc_messages.hpp
rm src/database/serialization.capnp
rm src/database/serialization.hpp
```
Reviewers: teon.banek, msantl
Reviewed By: msantl
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1636
Summary:
This diff splits single node and distributed storage from each other.
Currently all of the storage code is copied into two directories (one single
node, one distributed). The logic used in the storage implementation isn't
touched, it will be refactored in following diffs.
To clean the working directory after this diff you should execute:
```
rm database/state_delta.capnp
rm database/state_delta.hpp
rm storage/concurrent_id_mapper_rpc_messages.capnp
rm storage/concurrent_id_mapper_rpc_messages.hpp
```
Reviewers: teon.banek, buda, msantl
Reviewed By: teon.banek, msantl
Subscribers: teon.banek, pullbot
Differential Revision: https://phabricator.memgraph.io/D1625
Summary:
In order to add kafka benchmark, `memgraph_bolt.cpp` has been split.
Now we have `memgraph_init.cpp/hpp` files with common memgraph startup code.
Kafka benchmark implements a new `main` function that doesn't start a bolt
server, it just creates and starts a stream. Then it waits for the stream to
start consuming and measures the time it took to import the given number of
entries.
This benchmark is in a new folder, `feature_benchmark`, and so should any new
bechmark that measures performance of memgraphs features.
Reviewers: mferencevic, teon.banek, ipaljak, vkasljevic
Reviewed By: mferencevic, teon.banek
Subscribers: pullbot
Differential Revision: https://phabricator.memgraph.io/D1552
