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test(perf): cover smoothing copy removal across window layouts

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Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
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discord9
2026-09-10 20:51:56 +08:00
parent 9b41e729f2
commit b43c012417
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tests/perf/query_cases/promql_smoothing_copy/case.toml
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# 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