From b43c012417f511cd17112088ed20b9576fa7e8d5 Mon Sep 17 00:00:00 2001
From: discord9 <55937128+discord9@users.noreply.github.com>
Date: Thu, 10 Sep 2026 20:51:56 +0800
Subject: [PATCH] test(perf): cover smoothing copy removal across window
 layouts

Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
---
 .../promql_smoothing_copy/case.toml           | 115 ++++++++++++++++++
 1 file changed, 115 insertions(+)
 create mode 100644 tests/perf/query_cases/promql_smoothing_copy/case.toml

diff --git a/tests/perf/query_cases/promql_smoothing_copy/case.toml b/tests/perf/query_cases/promql_smoothing_copy/case.toml
new file mode 100644
index 0000000000..187794dd1c
--- /dev/null
+++ b/tests/perf/query_cases/promql_smoothing_copy/case.toml
@@ -0,0 +1,115 @@
+# Bounded nightly PromQL double-exponential-smoothing regression coverage.
+#
+# 128 series × 780 samples at 15-second cadence = 99,840 rows. Remote write
+# ingests four 195-sample chunks and flushes each chunk before querying.
+
+[case]
+name = "promql_smoothing_copy"
+description = "Bounded nightly PromQL double-exponential-smoothing copy-removal regression"
+
+[scenario]
+kind = "prom_remote_write_then_query"
+
+[scenario.remote_write]
+database = "public"
+metric = "promql_smoothing_copy"
+physical_table = "greptime_physical_table"
+series_count = 128
+samples_per_series = 780
+sample_chunk_size = 195
+flush_every_sample_chunks = 1
+start_unix_millis = 1_704_067_200_000
+step_millis = 15_000
+chunk_series_count = 128
+timeout_seconds = 180
+visibility_timeout_seconds = 120
+
+[scenario.remote_write.value]
+pattern = "linear"
+base = 0
+step = 1
+
+[scenario.remote_write.prom_store]
+pending_rows_flush_interval = "1s"
+max_batch_rows = 100000
+
+# Selector-only scan control for unrelated PromQL/metric-engine variance.
+[[scenario.queries]]
+name = "selector_2h_15s_control"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') promql_smoothing_copy{host=~'host.*'}"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "double_exponential_smoothing_1m_15s"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') double_exponential_smoothing(promql_smoothing_copy{host=~'host.*'}[1m], 0.5, 0.1)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "double_exponential_smoothing_5m_15s"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') double_exponential_smoothing(promql_smoothing_copy{host=~'host.*'}[5m], 0.5, 0.1)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+# Primary copy-removal stress case: 481 highly-overlapping 240-sample windows.
+[[scenario.queries]]
+name = "double_exponential_smoothing_1h_15s"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') double_exponential_smoothing(promql_smoothing_copy{host=~'host.*'}[1h], 0.5, 0.1)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+[[scenario.queries]]
+name = "double_exponential_smoothing_1h_5m_overlap"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '5m') double_exponential_smoothing(promql_smoothing_copy{host=~'host.*'}[1h], 0.5, 0.1)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+# Three disjoint 240-sample windows provide a non-overlapping control.
+[[scenario.queries]]
+name = "double_exponential_smoothing_1h_1h_nonoverlap"
+kind = "tql"
+query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '1h') double_exponential_smoothing(promql_smoothing_copy{host=~'host.*'}[1h], 0.5, 0.1)"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10
+
+# Inspect retained responses manually; the runner does not assert numeric values.
+# The three left-open hourly windows contain host0000 values 1..240, 241..480,
+# and 481..720. Initial trend is 1 and remains unchanged on the first iteration;
+# subsequent trend updates preserve it. With sf=0.5 and tf=0.1, the expected
+# outputs are 240, 480, and 720.
+[[scenario.queries]]
+name = "double_exponential_smoothing_1h_host0000_numeric_control"
+kind = "prom_http"
+query = "double_exponential_smoothing(promql_smoothing_copy{host=\"host0000\"}[1h], 0.5, 0.1)"
+start = "1704070800"
+end = "1704078000"
+step = "1h"
+warmup = 3
+iterations = 9
+
+[scenario.queries.thresholds]
+max_candidate_latency_regression_pct = 10