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1693530d92
memgraph/tests/public_benchmark/ldbc/README.md
Teon Banek 1693530d92 ldbc: Separate running short reads from updates 
Reviewers: buda

Reviewed By: buda

Subscribers: mferencevic, pullbot

Differential Revision: https://phabricator.memgraph.io/D758
2017-09-07 10:45:09 +02:00

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LDBC benchmarks

How to run the benchmark against Neo4j OR Memgraph?

cd memgraph/tests/public_benchmark/ldbc
./setup_system
./setup_dependencies
./setup_dataset [--scale-factor 1]
./neo [--run] OR ./mg [--run]
# To run short reads by default, just call:
./run_benchmark
# To run update queries use the following.
./run_benchmark --properties-file ldbc-snb-impls-updates.properties
# You may need to increase the time compression when updating:
./run_benchmark --time-compresion-ratio 1.5 --properties-file ldbc-snb-impls-updates.properties

How to run a specific test?

cd memgraph/tests/public_benchmark/ldbc/ldbc-snb-impls/snb-interactive-neo4j
mvn exec:java -Dexec.mainClass="net.ellitron.ldbcsnbimpls.interactive.neo4j.util.QueryTester" -Dexec.args="shortquery1 933 --repeat=10000 --timeUnits=MICROSECONDS"

Useful terminal commands

How to find out Default Query Limits?

cd memgraph/tests/public_benchmark/ldbc/ldbc_driver
ag "DEFAULT_LIMIT"

How to run test cases?

cd memgraph/tests/public_benchmark/ldbc
neo4j-client --insecure -u "" -p "" -o test_cases/results/short_query_2.oc.out -i test_cases/queries/short_query_2.oc localhost 7687

How to create indexes manually?

cd memgraph/tests/public_benchmark/ldbc
source ve3/bin/activate
./index_creation.py ldbc-snb-impls/snb-interactive-neo4j/scripts/indexCreation.neo4j

Where is and how to use LDBC plotting?

cd memgraph/tests/public_benchmark/ldbc
source ve2/bin/activate
cd memgraph/tests/public_benchmark/ldbc/ldbc_driver/plotting
python make_charts_all_queries_all_metrics.py /path/to/ldbc_driver/results/LDBC-results.json legend_location

TODOs

  1. Run & validate all Short queries + optimize MemGraph performance.
  2. Write the log parser.
  3. Visualize the results.
  4. Run & validate all Update queries + optimize MemGraph performance.
  5. Run apacaci code an compare the results (Do We Need Specialized Graph Database?).
  6. Optimize MemGraph performance.
  7. Scale benchmarks (scale factors 1, 3, 10).
  8. Test against Postgres and make comparison between Neo, Memgraph & Postgres. Latency + Throughput.
  9. Run & validate all queries + optimize MemGraph performance.
  10. Optimize MemGraph spinup time.