Umbra implementation of the LDBC Social Network Benchmark's Interactive workload.
The recommended environment is that the benchmark scripts (Bash) and the LDBC driver (Java 8) run on the host machine, while the Umbra database runs in a Docker container. Therefore, the requirements are as follows:
- Bash
- Java 8
- Docker 19+
libpg5
- the
psycopg
Python library:scripts/install-dependencies.sh
- enough free space in the directory
${UMBRA_DATABASE_DIR}
(its default value is specified inscripts/vars.sh
)
The default configuration of the database (e.g. database name, user, password) is set in the scripts/vars.sh
file.
Alternatively, a docker-compose available to start the Umbra container and a container loading the data. This requires docker-compose
installed on the host machine. Running Umbra and loading the data can be done by executing:
docker-compose build && docker-compose up
The default environment variables are loaded from .env
. Change the UMBRA_CSV_DIR
to point to point to the data set, e.g.
UMBRA_CSV_DIR=`pwd`/test-data/
The Umbra container is available upon request from TU Munich's Database group. Load it to Docker as follows:
curl ... | docker load
Umbra uses the same data format at PostgreSQL (CsvMergeForeign
).
-
Set the
${UMBRA_CSV_DIR}
environment variable to point to the data set, e.g.:export UMBRA_CSV_DIR=`pwd`/../postgres/test-data/
-
To start the DBMS, create a database and load the data, run:
scripts/load-in-one-step.sh
-
To run the scripts of benchmark framework, edit the
driver/{create-validation-parameters,validate,benchmark}.properties
files, then run their script, one of:driver/create-validation-parameters.sh driver/validate.sh driver/benchmark.sh
scripts/backup-database.sh
and scripts/restore-database.sh
scripts to achieve this.