Test main aggmetrics benchmark

benchmarks/bench.sh

@@ -164,6 +164,7 @@ nlj:                    Benchmark for simple nested loop joins, testing various
 hj:                     Benchmark for simple hash joins, testing various join scenarios
 smj:                    Benchmark for simple sort merge joins, testing various join scenarios
 dict:                   Benchmark for dictionary-encoded group-by scenarios
+array_agg_distinct:     10K-group, two-row-per-group array_agg(DISTINCT) benchmark
 compile_profile:        Compile and execute TPC-H across selected Cargo profiles, reporting timing and binary size
 
 
@@ -651,6 +652,9 @@ main() {
                 dict)
                     run_dict
                     ;;
+                array_agg_distinct)
+                    run_array_agg_distinct
+                    ;;
                 compile_profile)
                     run_compile_profile "${PROFILE_ARGS[@]}"
                     ;;
@@ -1661,6 +1665,14 @@ run_dict() {
     debug_run $CARGO_COMMAND --bin dfbench -- dict --iterations 5 -o "${RESULTS_FILE}" ${QUERY_ARG} ${LATENCY_ARG}
 }
 
+# Runs the data-free high-cardinality array_agg(DISTINCT) SQL benchmark.
+run_array_agg_distinct() {
+    echo "Running array_agg_distinct benchmark..."
+    debug_run env BENCH_NAME=array_agg_distinct \
+      ${QUERY:+BENCH_QUERY="${QUERY}"} \
+      bash -c "$SQL_CARGO_COMMAND"
+}
+
 
 compare_benchmarks() {
     BASE_RESULTS_DIR="${SCRIPT_DIR}/results"

benchmarks/sql_benchmarks/array_agg_distinct/array_agg_distinct.suite

@@ -0,0 +1,11 @@
+description = "High-cardinality array_agg(DISTINCT) SQL benchmarks"
+
+query_pattern = "q{QUERY_ID_PADDED}.benchmark"
+
+[[examples]]
+command = "cargo run --release --bin benchmark_runner -- array_agg_distinct"
+description = "Run the high-cardinality array_agg(DISTINCT) benchmark."
+
+[[examples]]
+command = "cargo run --release --bin benchmark_runner -- array_agg_distinct --query 1 --iterations 5 --output /tmp/array_agg_distinct.json"
+description = "Run five iterations and write comparable JSON results."

benchmarks/sql_benchmarks/array_agg_distinct/benchmarks/q01.benchmark

@@ -0,0 +1,11 @@
+name Q01
+group array_agg_distinct
+
+expect_plan AggregateExec
+
+run
+-- 10K groups, 2 rows/group, and 2 distinct values/group. `range` is end-exclusive.
+-- This is data-free so comparisons isolate grouped array_agg(DISTINCT) execution.
+SELECT value / 2 AS k, array_agg(DISTINCT value % 2) AS distinct_values
+FROM range(20000)
+GROUP BY value / 2;