From 6b15265ed873a842d0d1713cc1902c41fbdb62d5 Mon Sep 17 00:00:00 2001
From: discord9 <55937128+discord9@users.noreply.github.com>
Date: Thu, 10 Sep 2026 18:32:27 +0800
Subject: [PATCH] test(perf): qualify constant-tag series concat

Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
---
 .../promql_constant_tag_concat/case.toml      | 138 ++++++++++++++++++
 1 file changed, 138 insertions(+)
 create mode 100644 tests/perf/query_cases/promql_constant_tag_concat/case.toml

diff --git a/tests/perf/query_cases/promql_constant_tag_concat/case.toml b/tests/perf/query_cases/promql_constant_tag_concat/case.toml
new file mode 100644
index 00000000000..f876d1d871a
--- /dev/null
+++ b/tests/perf/query_cases/promql_constant_tag_concat/case.toml
@@ -0,0 +1,138 @@
+# CI performance qualification for the constant-tag concat experiment.
+#
+# This direct-SST fixture fixes file, row-group, and label layout independently
+# of ingestion and SQL flush behavior; it does not claim to reproduce a
+# SQL-flush baseline. With timestamp-major generation, every series occurs at
+# every scrape timestamp and each series spans all 32 non-overlapping SSTs,
+# exercising cross-file reads for the multi-evaluation queries.
+
+[case]
+name = "promql_constant_tag_concat"
+description = "PromQL selector and topk/bottomk qualification on a controlled constant-tag direct-SST fixture"
+
+[scenario]
+kind = "direct_readable_sst"
+seed = 4096
+
+[[scenario.tables]]
+database = "public"
+name = "promql_constant_tag_concat"
+engine = "mito"
+append_mode = true
+sst_format = "flat"
+primary_key = ["host", "instance"]
+time_index = "ts"
+
+[[scenario.tables.columns]]
+name = "host"
+type = "STRING"
+semantic = "tag"
+distribution = { kind = "cardinality", values = 16, prefix = "host" }
+
+[[scenario.tables.columns]]
+name = "instance"
+type = "STRING"
+semantic = "tag"
+distribution = { kind = "cardinality", values = 4096, prefix = "instance" }
+
+[[scenario.tables.columns]]
+name = "reading"
+type = "DOUBLE"
+semantic = "field"
+distribution = { kind = "deterministic_wave", min = 0.0, max = 1000.0 }
+
+[[scenario.tables.columns]]
+name = "ts"
+type = "TIMESTAMP(9)"
+semantic = "timestamp"
+
+[scenario.layout]
+regions = 1
+sst_count = 32
+rows_per_sst = 32768
+row_group_size = 8192
+series_count = 4096
+start_unix_nanos = 1_704_067_200_000_000_000  # 2024-01-01T00:00:00Z
+step_nanos = 15_000_000_000
+time_range_layout = "non_overlapping_per_sst"
+series_layout = "timestamp_major"
+
+[[scenario.queries]]
+name = "selector_full"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069900, '15s') promql_constant_tag_concat"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "selector_host1"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069900, '15s') promql_constant_tag_concat{host='host1'}"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "topk_5_full"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069900, '15s') topk(5, promql_constant_tag_concat)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "topk_5_host1"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069900, '15s') topk(5, promql_constant_tag_concat{host='host1'})"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "topk_100_full"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069900, '15s') topk(100, promql_constant_tag_concat)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "bottomk_5_full"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069900, '15s') bottomk(5, promql_constant_tag_concat)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+# One evaluation time is a likely single-batch selector control, not a guarantee:
+# PromQL lookback can still require multiple batches.
+[[scenario.queries]]
+name = "instant_selector_single_evaluation_control"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704069000, 1704069000, '15s') promql_constant_tag_concat"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+# A single evaluation for output-parity inspection, separate from timed controls.
+[[scenario.queries]]
+name = "instant_topk_5_output_parity_control"
+kind = "tql"
+query = "TQL EVAL (1704069000, 1704069000, '15s') topk(5, promql_constant_tag_concat)"
+warmup = 0
+iterations = 1