DuckDB implementation of the LDBC Social Network Benchmark's Interactive workload.

Grab DuckDB:

scripts/get.sh

The data sets need to be generated before loading it to the database. No preprocessing is required. To generate the data sets for DuckDB, use the same settings as for PostgreSQL, i.e. the Hadoop-based Datagen's CsvMergeForeign serializer classes.

Set the following environment variable based on your data source:

export DUCKDB_CSV_DIR=`pwd`/../postgres/test-data

Load the data set as follows:

scripts/load.sh

The instructions below explain how to run the benchmark driver in one of the three modes (create validation parameters, validate, benchmark). For more details on the driver modes, check the "Driver modes" section of the main README.

1. Edit the driver/benchmark.properties file. Make sure that the ldbc.snb.interactive.scale_factor, ldbc.snb.interactive.updates_dir, ldbc.snb.interactive.parameters_dir properties are set correctly and are in sync.

2. Run the script:

   driver/create-validation-parameters.sh

1. Edit the driver/validate.properties file. Make sure that the validate_database property points to the file you would like to validate against.

2. Run the script:

   driver/validate.sh

1. Edit the driver/benchmark.properties file. Make sure that the ldbc.snb.interactive.scale_factor, ldbc.snb.interactive.updates_dir, and ldbc.snb.interactive.parameters_dir properties are set correctly and are in sync.

2. Run the script:

   driver/benchmark.sh

⚠️ The default workload contains updates which are persisted in the database. Therefore, the database needs to be reloaded or restored from backup before each run. Use the provided scripts/backup-database.sh and scripts/restore-database.sh scripts to achieve this.