Add benchmark pipeline for dense and sparse query testing

Introduces a complete query benchmark track to evaluate performance and verify consistency between dense and sparse index formats. Adds scripts to simulate fixed-size paired-end reads, pack a sparse presence index, execute queries in both modes, and capture wall time and RSS metrics. Includes a verification step that compares outputs by read ID to ensure content identity across parallel processing. Updates build configuration, documentation, and ignore patterns to support the new pipeline for two microbial specimens.
This commit is contained in:
Eric Coissac
2026-08-20 13:59:12 +02:00
parent 5a9d903e51
commit 89ea077456
14 changed files with 565 additions and 74 deletions
+6
View File
@@ -24,6 +24,12 @@ case "${TYPE}" in
specific_kmer_presence|specific_kmer_count)
HEADER="run,species,rebuild_wall_s,rebuild_rss_b,pack_wall_s,pack_rss_b,filter_total_wall_s,filter_total_rss_b,select_wall_s,select_rss_b,select_total_wall_s,select_total_rss_b"
;;
query_dense|query_sparse)
HEADER="run,species,strain,query_wall_s,query_rss_b,total_wall_s,total_rss_b"
;;
verify_query)
HEADER="run,species,strain,n_reads,n_common,missing_in_dense,missing_in_sparse,mismatched,mismatch_pct"
;;
*)
echo "ERROR: unknown stats type '${TYPE}'" >&2
exit 1