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test(perf): sample fulltext flushes on fresh matched tables
Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
This commit is contained in:
discord9
@@ -0,0 +1,48 @@
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# Bloom full-text index build-cost fixture
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This fixed `prom_remote_write_then_query` workload ingests 64 series × 512
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samples (32,768 rows) through the existing remote-write path, then copies the
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same source rows into eight fresh indexed Mito tables and eight no-index
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controls. Each insert uses identical message construction. A one-query
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`EXPLAIN ANALYZE VERBOSE SELECT count(*)` follows each insert to observe rows
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before an explicit one-query `ADMIN FLUSH_TABLE`. Inserts, pre-flush scans, and
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flushes have separate timings; the fixture specifies eight separate flushes per
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arm. The indexed schema uses the English analyzer and Bloom backend with
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`case_sensitive=false`. This index option does not make the SQL
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`matches_term` scalar function case-insensitive: the cold explain and exact
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`INFO` query use the uppercase indexed token, while a separate `request` query
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checks a lowercase token through the English analyzer. `zqxabsenttoken` checks
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absent-term behavior.
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`validate_remote_write_source` is deliberately the first query and only counts
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the source. It does not change source data. A pre-flush analyzed `count(*) WHERE msg IS NOT NULL` scan for each target
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forces a read of the populated message column and is diagnostic outside the
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insert/flush latency; do not infer a storage scan from an unfiltered aggregate. One later query
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reports per-table materialized row counts, and a metadata query reports index
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columns and types from `information_schema.statistics`. After all flushes, the
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first full-text query is the cold indexed `EXPLAIN ANALYZE VERBOSE`; subsequent
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`WHERE matches_term` queries report per-table exact `INFO`, lowercase `request`,
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and absent-token counts. Query thresholds of 30% on insert/flush entries are
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regression diagnostics, not workload assertions.
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For official CI B, verify before interpreting performance results that the
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source and every target count are exactly 32,768, each indexed positive-term
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query returns 32,768, each indexed absent-term query returns zero, and
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`information_schema.statistics` confirms full-text metadata on indexed tables
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only. Each pre-flush filtered `EXPLAIN ANALYZE VERBOSE` must show a scan of all
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32,768 input rows from memory and no files read (the aggregate result itself is
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one row); if a background flush already produced SSTs, do not treat that
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insert/flush timing as the intended measurement. The
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post-flush region-statistics query is advisory: `information_schema` statistics
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may be heartbeat-cached and can lag immediate writes/flushes. Main must validate
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flush row counts and resulting SST/index artifacts from run logs and available
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file metadata; do not treat cached region statistics alone as proof. If required
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invariants are not met, do not treat the comparison as a valid baseline/candidate
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result.
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The timing includes task completion and flush work (including synchronous
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index generation, plus any storage-engine work incurred); it is **not** an
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isolated tokenizer benchmark. It does not establish compaction cost. Do not
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claim those effects are excluded unless the run's correctness/storage evidence
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confirms it. The fixture uses the existing query runner unchanged and is a new
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fixed workload, not a replay of the original 1,048,576-row input archive.
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@@ -0,0 +1,526 @@
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# Fixed remote-write fixture comparing synchronous Bloom full-text index build cost.
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# This measures insert/flush/index work, not isolated tokenizer time; see README.md.
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[case]
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name = "bloom_fulltext_build_cost"
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description = "Compare synchronous Bloom full-text index build cost on a fixed remote-write workload"
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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 = "bloom_fulltext_build_cost"
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physical_table = "bloom_fulltext_build_cost_physical"
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series_count = 64
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samples_per_series = 512
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sample_chunk_size = 512
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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 = 64
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timeout_seconds = 600
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visibility_timeout_seconds = 300
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base_setup_sql = [
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"CREATE TABLE bloom_fulltext_build_cost_physical (greptime_timestamp TIMESTAMP TIME INDEX, greptime_value DOUBLE) ENGINE=metric WITH ('physical_metric_table'='', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_0 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_0 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_1 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_1 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_2 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_2 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_3 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_3 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_4 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_4 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_5 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_5 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_6 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_6 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_7 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_7 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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]
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candidate_setup_sql = [
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"CREATE TABLE bloom_fulltext_build_cost_physical (greptime_timestamp TIMESTAMP TIME INDEX, greptime_value DOUBLE) ENGINE=metric WITH ('physical_metric_table'='', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_0 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_0 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_1 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_1 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_2 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_2 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_3 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_3 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_4 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_4 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_5 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_5 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_6 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_6 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_indexed_7 (instance STRING, msg STRING FULLTEXT INDEX WITH(analyzer='English', backend='bloom', case_sensitive='false', false_positive_rate='0.01', granularity='10240'), ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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"CREATE TABLE bloom_fulltext_build_cost_control_7 (instance STRING, msg STRING, ts TIMESTAMP TIME INDEX, PRIMARY KEY(instance)) ENGINE=mito WITH ('append_mode'='true', 'compaction.type'='twcs', 'compaction.twcs.trigger_file_num'='100')",
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]
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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 = "validate_remote_write_source"
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kind = "sql"
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query = "SELECT count(*) FROM bloom_fulltext_build_cost"
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warmup = 0
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iterations = 1
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[[scenario.queries]]
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name = "indexed_insert_0"
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kind = "sql"
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query = "INSERT INTO bloom_fulltext_build_cost_indexed_0 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "indexed_preflush_explain_0"
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kind = "sql"
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query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_0 WHERE msg IS NOT NULL"
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warmup = 0
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iterations = 1
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[[scenario.queries]]
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name = "indexed_flush_0"
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kind = "sql"
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query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_0')"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "control_insert_0"
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kind = "sql"
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query = "INSERT INTO bloom_fulltext_build_cost_control_0 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "control_preflush_explain_0"
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kind = "sql"
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query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_0 WHERE msg IS NOT NULL"
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warmup = 0
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iterations = 1
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[[scenario.queries]]
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name = "control_flush_0"
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kind = "sql"
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query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_0')"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "indexed_insert_1"
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kind = "sql"
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query = "INSERT INTO bloom_fulltext_build_cost_indexed_1 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "indexed_preflush_explain_1"
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kind = "sql"
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query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_1 WHERE msg IS NOT NULL"
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warmup = 0
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iterations = 1
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[[scenario.queries]]
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name = "indexed_flush_1"
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kind = "sql"
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query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_1')"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "control_insert_1"
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kind = "sql"
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query = "INSERT INTO bloom_fulltext_build_cost_control_1 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "control_preflush_explain_1"
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kind = "sql"
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query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_1 WHERE msg IS NOT NULL"
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warmup = 0
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iterations = 1
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[[scenario.queries]]
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name = "control_flush_1"
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kind = "sql"
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query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_1')"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "indexed_insert_2"
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kind = "sql"
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query = "INSERT INTO bloom_fulltext_build_cost_indexed_2 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
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warmup = 0
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iterations = 1
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[scenario.queries.thresholds]
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max_candidate_latency_regression_pct = 30
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[[scenario.queries]]
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name = "indexed_preflush_explain_2"
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kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_2 WHERE msg IS NOT NULL"
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warmup = 0
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||||
iterations = 1
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[[scenario.queries]]
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name = "indexed_flush_2"
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kind = "sql"
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query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_2')"
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||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_insert_2"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_control_2 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_preflush_explain_2"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_2 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_flush_2"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_2')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_insert_3"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_indexed_3 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_preflush_explain_3"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_3 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_flush_3"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_3')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_insert_3"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_control_3 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_preflush_explain_3"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_3 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_flush_3"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_3')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_insert_4"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_indexed_4 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_preflush_explain_4"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_4 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_flush_4"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_4')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_insert_4"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_control_4 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_preflush_explain_4"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_4 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_flush_4"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_4')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_insert_5"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_indexed_5 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_preflush_explain_5"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_5 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_flush_5"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_5')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_insert_5"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_control_5 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_preflush_explain_5"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_5 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_flush_5"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_5')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_insert_6"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_indexed_6 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_preflush_explain_6"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_6 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_flush_6"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_6')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_insert_6"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_control_6 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_preflush_explain_6"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_6 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_flush_6"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_6')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_insert_7"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_indexed_7 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_preflush_explain_7"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_indexed_7 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "indexed_flush_7"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_indexed_7')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_insert_7"
|
||||
kind = "sql"
|
||||
query = "INSERT INTO bloom_fulltext_build_cost_control_7 SELECT instance, concat('INFO request completed service=', instance, ' request_id=', CAST(greptime_value AS STRING), ' path=/api/v1/item/', CAST(greptime_value AS STRING), ' duration_ms=', CAST(greptime_value AS STRING), ' status=OK'), greptime_timestamp FROM bloom_fulltext_build_cost"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_preflush_explain_7"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT count(*) FROM bloom_fulltext_build_cost_control_7 WHERE msg IS NOT NULL"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "control_flush_7"
|
||||
kind = "sql"
|
||||
query = "ADMIN FLUSH_TABLE('bloom_fulltext_build_cost_control_7')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
[scenario.queries.thresholds]
|
||||
max_candidate_latency_regression_pct = 30
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "validate_materialized_rows"
|
||||
kind = "sql"
|
||||
query = "SELECT 'indexed_0' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_0 UNION ALL SELECT 'control_0' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_0 UNION ALL SELECT 'indexed_1' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_1 UNION ALL SELECT 'control_1' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_1 UNION ALL SELECT 'indexed_2' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_2 UNION ALL SELECT 'control_2' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_2 UNION ALL SELECT 'indexed_3' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_3 UNION ALL SELECT 'control_3' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_3 UNION ALL SELECT 'indexed_4' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_4 UNION ALL SELECT 'control_4' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_4 UNION ALL SELECT 'indexed_5' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_5 UNION ALL SELECT 'control_5' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_5 UNION ALL SELECT 'indexed_6' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_6 UNION ALL SELECT 'control_6' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_6 UNION ALL SELECT 'indexed_7' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_indexed_7 UNION ALL SELECT 'control_7' AS target, count(*) AS rows FROM bloom_fulltext_build_cost_control_7"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "postflush_stats_observation"
|
||||
kind = "sql"
|
||||
query = "SELECT t.table_name, r.region_rows, r.memtable_size, r.sst_num, r.index_size FROM information_schema.tables t JOIN information_schema.region_statistics r ON t.table_id = r.table_id WHERE t.table_schema = 'public' AND (t.table_name LIKE 'bloom_fulltext_build_cost_indexed_%' OR t.table_name LIKE 'bloom_fulltext_build_cost_control_%') ORDER BY t.table_name"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "index_metadata"
|
||||
kind = "sql"
|
||||
query = "SELECT table_name, column_name, index_name, index_type, greptime_index_type FROM information_schema.statistics WHERE table_schema = 'public' AND table_name LIKE 'bloom_fulltext_build_cost_%' ORDER BY table_name, index_name, column_name"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "cold_indexed_term_explain"
|
||||
kind = "sql"
|
||||
query = "EXPLAIN ANALYZE VERBOSE SELECT * FROM bloom_fulltext_build_cost_indexed_0 WHERE matches_term(msg, 'INFO')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "validate_indexed_info_term_counts"
|
||||
kind = "sql"
|
||||
query = "SELECT 'indexed_0' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_0 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_1' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_1 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_2' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_2 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_3' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_3 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_4' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_4 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_5' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_5 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_6' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_6 WHERE matches_term(msg, 'INFO') UNION ALL SELECT 'indexed_7' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_7 WHERE matches_term(msg, 'INFO')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "validate_indexed_request_term_counts"
|
||||
kind = "sql"
|
||||
query = "SELECT 'indexed_0' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_0 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_1' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_1 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_2' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_2 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_3' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_3 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_4' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_4 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_5' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_5 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_6' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_6 WHERE matches_term(msg, 'request') UNION ALL SELECT 'indexed_7' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_7 WHERE matches_term(msg, 'request')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
|
||||
[[scenario.queries]]
|
||||
name = "validate_indexed_absent_term_counts"
|
||||
kind = "sql"
|
||||
query = "SELECT 'indexed_0' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_0 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_1' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_1 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_2' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_2 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_3' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_3 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_4' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_4 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_5' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_5 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_6' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_6 WHERE matches_term(msg, 'zqxabsenttoken') UNION ALL SELECT 'indexed_7' AS target, count(*) AS matches FROM bloom_fulltext_build_cost_indexed_7 WHERE matches_term(msg, 'zqxabsenttoken')"
|
||||
warmup = 0
|
||||
iterations = 1
|
||||
Reference in New Issue
Block a user