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discord9
555485c40e
* perf(promql): avoid per-window allocations in simple range functions Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * perf(promql): avoid copying smoothing window values Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * test(perf): cover smoothing copy removal across window layouts Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * fix(promql): skip null samples in simple range functions Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> --------- Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
144 lines
4.2 KiB
TOML
144 lines
4.2 KiB
TOML
# Bounded PromQL simple-range allocation regression coverage.
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#
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# 128 series × 780 samples at a 15-second cadence = 99,840 rows. Linear
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# values are `base + series_idx % 97 + local_ordinal`; the host0000 HTTP
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# control therefore has last values 240, 480, and 720 at its hourly evaluations.
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[case]
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name = "promql_simple_range_allocation"
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description = "Bounded PromQL simple-range UDF allocation regression coverage"
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[scenario]
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kind = "prom_remote_write_then_query"
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[scenario.remote_write]
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database = "public"
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metric = "promql_simple_range_allocation"
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physical_table = "greptime_physical_table"
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series_count = 128
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samples_per_series = 780
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sample_chunk_size = 195
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flush_every_sample_chunks = 1
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start_unix_millis = 1704067200000
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step_millis = 15000
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chunk_series_count = 128
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timeout_seconds = 600
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visibility_timeout_seconds = 300
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[scenario.remote_write.value]
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pattern = "linear"
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base = 0
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step = 1
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[scenario.remote_write.prom_store]
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pending_rows_flush_interval = "1s"
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max_batch_rows = 100000
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[[scenario.queries]]
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name = "selector_2h15s_control"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') promql_simple_range_allocation{host=~'host.*'}"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "count_over_time_1m"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') count_over_time(promql_simple_range_allocation{host=~'host.*'}[1m])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "count_over_time_1h"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') count_over_time(promql_simple_range_allocation{host=~'host.*'}[1h])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "last_over_time_1m"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') last_over_time(promql_simple_range_allocation{host=~'host.*'}[1m])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "last_over_time_1h"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') last_over_time(promql_simple_range_allocation{host=~'host.*'}[1h])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "present_over_time_1m"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') present_over_time(promql_simple_range_allocation{host=~'host.*'}[1m])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "present_over_time_1h"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') present_over_time(promql_simple_range_allocation{host=~'host.*'}[1h])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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# This matcher is intentionally nonempty in the input but produces no output.
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# ANALYZE remains valid while exercising the absent-over-time allocation path.
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[[scenario.queries]]
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name = "absent_over_time_1m_empty"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') absent_over_time(promql_simple_range_allocation{host=~'host.*'}[1m])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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[[scenario.queries]]
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name = "absent_over_time_1h_empty"
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kind = "tql"
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query = "TQL ANALYZE VERBOSE (1704070800, 1704078000, '15s') absent_over_time(promql_simple_range_allocation{host=~'host.*'}[1h])"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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# Inspect the retained response manually: the runner does not assert numeric values.
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# For host0000, last_over_time at the hourly evaluations should return 240, 480,
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# and 720 respectively.
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[[scenario.queries]]
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name = "prom_http_last_over_time_1h_numeric_control"
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kind = "prom_http"
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query = "last_over_time(promql_simple_range_allocation{host=\"host0000\"}[1h])"
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start = "1704070800"
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end = "1704078000"
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step = "1h"
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warmup = 3
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iterations = 9
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 10
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