Join Order Benchmark

Opis

General This is a re-distribution of the IMDB dataset, adapted for different database systems. The dumps was obtained from the official IMDB servers at a later time than the original publication. Therefore, it contains significantly more data. For example, the title relation contains approx. 4.7M tuples instead of 2.5M. The dumps contain all possible foreign key constraints. In addition to the IMDB dataset, we also provide different variants of the Join Order Benchmark (JOB): the original JOB workload as introduced by Leis et al. in their paper "How Good Are Query Optimizers, Really?" (Proc. VLDB ,Vol. 9, Issue 3) (DOI 10.14778/2850583.2850594 ) the simplified JOB-light version as introduced by Kipf et al. in their paper "Learned Cardinalities: Estimating Correlated Joins with Deep Learning" (CIDR 2019) ( Link ) the extended JOB-Complex workload as introduced by Wehrstein et al. in their paper "JOB-Complex: A Challenging Benchmark for Traditional and Learned Query Optimization" (AIDB 2025) ( Link ) Import for PostgreSQL The PostgreSQL dump was created using PostgreSQL 16, so it should work on all Postgres version starting from PG 16. To load the dump, first create a new Postgres…

Opis sa Zenodo, skraćen.

Fajlovi (8)

• DUCKDBimdb.duckdb8,3 GB
• ZIPcsv.zip1,9 GB
• PGimdb_dump.pg1,9 GB
• SQLschema-duckdb.sql6 kB
• ZIPjob-complex.zip18 kB
• ZIPjob-light.zip23 kB
• SQLschema-postgres.sql7,7 kB
• ZIPjob.zip59 kB

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