test(promql): split comprehensive coverage from the capability layer

Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
This commit is contained in:
discord9
2026-10-12 16:38:44 +08:00
parent 5fe8740fc0
commit 43ffbdebbe
8 changed files with 7 additions and 4311 deletions
-152
View File
@@ -163,155 +163,3 @@ fn strip_metric_name_output(plan: LogicalPlan) -> Result<LogicalPlan> {
plan => strip(plan),
}
}
#[cfg(test)]
mod tests {
use std::collections::HashMap;
use common_query::prometheus::{PROMQL_FIELD_ROLE_KEY, PROMQL_METRIC_NAME_ROLE};
use datafusion::logical_expr::expr::Alias;
use datafusion_expr::{ExplainFormat, Expr as DfExpr, LogicalPlanBuilder, col, lit};
use super::*;
const MARKER: &str = "__promql_metric_name";
/// Mirrors the projection `PromPlanner` attaches to a selector result: the identity column
/// is an ordinary `Utf8` column carrying the role metadata.
fn marked_metadata() -> HashMap<String, String> {
HashMap::from([(
PROMQL_FIELD_ROLE_KEY.to_string(),
PROMQL_METRIC_NAME_ROLE.to_string(),
)])
}
fn marker_expr(name: &str) -> DfExpr {
DfExpr::Alias(Alias {
expr: Box::new(lit("metric")),
relation: None,
name: name.to_string(),
metadata: Some(marked_metadata().into()),
})
}
fn marked_result_plan() -> LogicalPlan {
let input = LogicalPlanBuilder::empty(false).build().unwrap();
LogicalPlanBuilder::from(input)
.project(vec![
lit("0").alias("ts"),
lit(1.0_f64).alias("val"),
marker_expr(MARKER),
])
.unwrap()
.build()
.unwrap()
}
fn schema_column_names(plan: &LogicalPlan) -> Vec<String> {
plan.schema()
.fields()
.iter()
.map(|field| field.name().clone())
.collect()
}
fn has_marked_column(plan: &LogicalPlan) -> bool {
plan.schema().fields().iter().any(|field| {
field
.metadata()
.get(PROMQL_FIELD_ROLE_KEY)
.map(String::as_str)
== Some(PROMQL_METRIC_NAME_ROLE)
})
}
#[test]
fn strip_metric_name_output_drops_the_identity_from_the_result_schema() {
let plan = strip_metric_name_output(marked_result_plan()).unwrap();
assert_eq!(schema_column_names(&plan), vec!["ts", "val"]);
assert!(!has_marked_column(&plan));
assert!(plan.schema().field_with_name(None, MARKER).is_err());
}
#[test]
fn strip_metric_name_output_keeps_an_unmarked_column_with_the_same_name() {
let input = LogicalPlanBuilder::from(marked_result_plan())
.project(vec![
col("ts"),
col("val"),
lit("physical").alias(MARKER),
marker_expr(&format!("{MARKER}_")),
])
.unwrap()
.build()
.unwrap();
let plan = strip_metric_name_output(input).unwrap();
// Only the marked column goes; the physically named one stays.
assert_eq!(schema_column_names(&plan), vec!["ts", "val", MARKER]);
assert!(!has_marked_column(&plan));
}
#[test]
fn strip_metric_name_output_leaves_an_unmarked_plan_unchanged() {
let input = LogicalPlanBuilder::empty(false).build().unwrap();
let plan = LogicalPlanBuilder::from(input)
.project(vec![lit("0").alias("ts"), lit(1.0_f64).alias("val")])
.unwrap()
.build()
.unwrap();
assert_eq!(strip_metric_name_output(plan.clone()).unwrap(), plan);
}
#[test]
fn strip_metric_name_output_rebuilds_explain_around_the_stripped_child() {
let explain = LogicalPlanBuilder::from(marked_result_plan())
.explain(true, false)
.unwrap()
.build()
.unwrap();
let plan = strip_metric_name_output(explain).unwrap();
let LogicalPlan::Explain(explain) = &plan else {
panic!("expected an EXPLAIN wrapper: {}", plan.display_indent());
};
assert!(explain.verbose);
assert_eq!(explain.explain_format, ExplainFormat::Indent);
assert_eq!(schema_column_names(&explain.plan), vec!["ts", "val"]);
assert!(!has_marked_column(&explain.plan));
// The initial stringified plan is regenerated from the stripped child: its own
// projection no longer lists the identity, while the child below it still shows the
// identity column it was built with.
let stringified = &explain.stringified_plans;
assert_eq!(stringified.len(), 1);
assert_eq!(stringified[0].plan_type, PlanType::InitialLogicalPlan);
assert_eq!(
stringified[0].plan.lines().next().unwrap(),
"Projection: ts, val"
);
assert!(stringified[0].plan.contains("AS __promql_metric_name"));
}
#[test]
fn strip_metric_name_output_rebuilds_analyze_around_the_stripped_input() {
let analyze = LogicalPlanBuilder::from(marked_result_plan())
.explain(false, true)
.unwrap()
.build()
.unwrap();
let plan = strip_metric_name_output(analyze).unwrap();
let LogicalPlan::Analyze(analyze) = &plan else {
panic!("expected an ANALYZE wrapper: {}", plan.display_indent());
};
assert!(!analyze.verbose);
assert_eq!(analyze.format, ExplainFormat::Indent);
assert_eq!(schema_column_names(&analyze.input), vec!["ts", "val"]);
assert!(!has_marked_column(&analyze.input));
}
}
-28
View File
@@ -1006,34 +1006,6 @@ mod tests {
assert_eq!(metric_name_role_column(&plan), None);
}
#[tokio::test]
async fn test_tql_cte_column_aliases_cover_the_stripped_result() {
let engine = create_promql_cte_test_engine();
let plan = parse_tql_cte_to_plan(
&engine,
"WITH tql (the_timestamp, the_value) AS (TQL EVAL (0, 10, '5s') metric) \
SELECT * FROM tql",
)
.await;
// The identity column is stripped before the CTE arity check and the alias
// projection, so the aliases line up with the tabular columns.
assert_eq!(plan_column_names(&plan), vec!["the_timestamp", "the_value"]);
assert_eq!(metric_name_role_column(&plan), None);
}
#[tokio::test]
async fn test_plan_pql_keeps_metric_name_identity_outside_tql() {
// Plain PromQL still carries the identity for the Prometheus HTTP API; only the
// tabular TQL boundaries strip it.
let plan = parse_promql_to_plan("some_metric").await;
assert_eq!(
metric_name_role_column(&plan),
Some("__promql_metric_name".to_string())
);
}
async fn parse_promql_to_plan(query: &str) -> LogicalPlan {
let engine = create_promql_test_engine();
let query_ctx = QueryContext::arc();
File diff suppressed because it is too large Load Diff
@@ -829,27 +829,6 @@ mod tests {
column
}
#[test]
fn column_layout_keeps_tag_names_verbatim() {
// The layout reads the name of every tag column as it is. A column
// spelled like the reserved name is not worked around either: a table
// that brings one is refused where it enters PromQL, so no unmarked
// column of that spelling can reach this layout.
let schema = Schema::new(vec![
ColumnSchema::new(
"timestamp",
ConcreteDataType::timestamp_millisecond_datatype(),
false,
),
ColumnSchema::new("host", ConcreteDataType::string_datatype(), true),
ColumnSchema::new(METRIC_NAME, ConcreteDataType::string_datatype(), true),
ColumnSchema::new("value", ConcreteDataType::float64_datatype(), false),
]);
let layout = ColumnLayout::infer(&schema).unwrap();
assert!(layout.metric_name_column_index.is_none());
assert_eq!(layout.tag_names, vec!["host", METRIC_NAME]);
}
#[tokio::test]
async fn marked_metric_name_splits_adjacent_runs_in_buffered_and_streamed_output() {
// Two adjacent runs that differ only in the marked metric name must
@@ -915,83 +894,6 @@ mod tests {
assert_eq!(series[1].values.len(), 2);
}
#[test]
fn marked_null_or_empty_metric_name_is_not_emitted() {
// Both rows share their ordinary labels; a fabricated name would merge
// them into one named series instead of leaving the name unset.
let schema = Arc::new(Schema::new(vec![
ColumnSchema::new(
"timestamp",
ConcreteDataType::timestamp_millisecond_datatype(),
false,
),
ColumnSchema::new("host", ConcreteDataType::string_datatype(), true),
marked_metric_name_column("identity"),
ColumnSchema::new("value", ConcreteDataType::float64_datatype(), false),
]));
let batch = RecordBatch::new(
schema.clone(),
vec![
Arc::new(TimestampMillisecondVector::from_values([1_000, 2_000])) as _,
Arc::new(StringVector::from(vec![Some("host-a"), Some("host-a")])) as _,
Arc::new(StringVector::from(vec![None::<&str>, Some("")])) as _,
Arc::new(Float64Vector::from_values([1.0, 2.0])) as _,
],
)
.unwrap();
let response = PrometheusJsonResponse::record_batches_to_data(
RecordBatches::try_new(schema, vec![batch]).unwrap(),
ValueType::Matrix,
)
.unwrap();
let PrometheusResponse::PromData(PromData {
result: PromQueryResult::Matrix(series),
..
}) = response
else {
panic!("expected matrix response");
};
assert_eq!(series.len(), 1);
assert!(!series[0].metric.contains_key(METRIC_NAME));
assert_eq!(
series[0].metric.get("host").map(String::as_str),
Some("host-a")
);
assert_eq!(series[0].values.len(), 2);
}
#[test]
fn malformed_metric_name_markers_are_rejected() {
let duplicate_markers = Schema::new(vec![
marked_metric_name_column("identity"),
marked_metric_name_column("identity_2"),
ColumnSchema::new(
"timestamp",
ConcreteDataType::timestamp_millisecond_datatype(),
false,
),
ColumnSchema::new("value", ConcreteDataType::float64_datatype(), false),
]);
assert!(ColumnLayout::infer(&duplicate_markers).is_err());
let mut wrong_type =
ColumnSchema::new("identity", ConcreteDataType::float64_datatype(), true);
wrong_type.mut_metadata().insert(
PROMQL_FIELD_ROLE_KEY.to_string(),
PROMQL_METRIC_NAME_ROLE.to_string(),
);
let wrong_type_marker = Schema::new(vec![
wrong_type,
ColumnSchema::new(
"timestamp",
ConcreteDataType::timestamp_millisecond_datatype(),
false,
),
ColumnSchema::new("value", ConcreteDataType::float64_datatype(), false),
]);
assert!(ColumnLayout::infer(&wrong_type_marker).is_err());
}
#[tokio::test]
async fn stream_result_matches_record_batches_result() {
let schema = Arc::new(Schema::new(vec![
@@ -1,788 +0,0 @@
-- Regression test for TSID-backed PromQL binary joins on metric-engine tables.
-- Default arithmetic and comparison joins should use `__tsid` when matching is the
-- default one-to-one case. Label modifiers still have to stay label-based.
CREATE TABLE tsid_binary_join_physical (
ts TIMESTAMP(3) TIME INDEX,
greptime_value DOUBLE,
) ENGINE = metric WITH ("physical_metric_table" = "");
Affected Rows: 0
CREATE TABLE tsid_binary_join_left (
host STRING NULL,
job STRING NULL,
ts TIMESTAMP(3) NOT NULL,
greptime_value DOUBLE NULL,
TIME INDEX (ts),
PRIMARY KEY(host, job),
)
ENGINE = metric
WITH(
on_physical_table = 'tsid_binary_join_physical'
);
Affected Rows: 0
CREATE TABLE tsid_binary_join_right (
host STRING NULL,
job STRING NULL,
ts TIMESTAMP(3) NOT NULL,
greptime_value DOUBLE NULL,
TIME INDEX (ts),
PRIMARY KEY(host, job),
)
ENGINE = metric
WITH(
on_physical_table = 'tsid_binary_join_physical'
);
Affected Rows: 0
CREATE TABLE tsid_binary_join_right_by_job (
job STRING NULL,
ts TIMESTAMP(3) NOT NULL,
greptime_value DOUBLE NULL,
TIME INDEX (ts),
PRIMARY KEY(job),
)
ENGINE = metric
WITH(
on_physical_table = 'tsid_binary_join_physical'
);
Affected Rows: 0
CREATE TABLE tsid_binary_join_third (
host STRING NULL,
job STRING NULL,
ts TIMESTAMP(3) NOT NULL,
greptime_value DOUBLE NULL,
TIME INDEX (ts),
PRIMARY KEY(host, job),
)
ENGINE = metric
WITH(
on_physical_table = 'tsid_binary_join_physical'
);
Affected Rows: 0
INSERT INTO tsid_binary_join_left (host, job, ts, greptime_value) VALUES
('host1', 'job1', 0, 12),
('host2', 'job2', 0, 18),
('host1', 'job1', 5000, 15),
('host2', 'job2', 5000, 21);
Affected Rows: 4
INSERT INTO tsid_binary_join_right (host, job, ts, greptime_value) VALUES
('host1', 'job1', 0, 3),
('host2', 'job2', 0, 6),
('host1', 'job1', 5000, 5),
('host2', 'job2', 5000, 7);
Affected Rows: 4
INSERT INTO tsid_binary_join_right_by_job (job, ts, greptime_value) VALUES
('job1', 0, 3),
('job2', 0, 6),
('job1', 5000, 5),
('job2', 5000, 7);
Affected Rows: 4
INSERT INTO tsid_binary_join_third (host, job, ts, greptime_value) VALUES
('host1', 'job1', 0, 2),
('host2', 'job2', 0, 3),
('host1', 'job1', 5000, 4),
('host2', 'job2', 5000, 6);
Affected Rows: 4
-- Default vector-vector arithmetic should join on `__tsid` and time index.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@1,\sts@2\],.* Hash([__tsid@1, ts@2],REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@3,\sts@4\],.* Hash([__tsid@3, ts@4],REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') tsid_binary_join_left / tsid_binary_join_right;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, greptime_value@4 / greptime_value@5 as tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(__tsid@1, __tsid@3), (ts@2, ts@4)], projection=[host@4, job@5, ts@7, __tsid@6, greptime_value@0, greptime_value@3], NullsEqual: true REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Repeated operands in a safe arithmetic island should be planned once and reused
-- in the final projection.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@1,\sts@2\],.* Hash([__tsid@1, ts@2],REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@3,\sts@4\],.* Hash([__tsid@3, ts@4],REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') (tsid_binary_join_left + tsid_binary_join_right) / tsid_binary_join_left;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, (greptime_value@4 + greptime_value@5) / greptime_value@4 as tsid_binary_join_left.greptime_value + tsid_binary_join_right.greptime_value / tsid_binary_join_left.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@3, __tsid@1), (ts@4, ts@2)], projection=[host@1, job@2, ts@4, __tsid@3, greptime_value@0, greptime_value@5], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([__tsid@3, ts@4],REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([__tsid@1, ts@2],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- A larger arithmetic island should still plan each distinct vector selector only once
-- while reusing the repeated left operand in multiple branches.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[[^\]]+\],.* Hash([REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') ((tsid_binary_join_left + tsid_binary_join_right) * (tsid_binary_join_left - tsid_binary_join_third)) / (tsid_binary_join_left + 2);
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, (greptime_value@4 + greptime_value@5) * (greptime_value@4 - greptime_value@6) / (greptime_value@4 + 2) as tsid_binary_join_left.greptime_value + tsid_binary_join_right.greptime_value * tsid_binary_join_left.greptime_value - tsid_binary_join_third.greptime_value / tsid_binary_join_left.greptime_value + Float64(2)] REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@3, __tsid@1), (ts@4, ts@2)], projection=[host@1, job@2, ts@4, __tsid@3, greptime_value@0, greptime_value@5, greptime_value@6], NullsEqual: true REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@3, __tsid@1), (ts@4, ts@2)], projection=[greptime_value@0, host@1, job@2, __tsid@3, ts@4, greptime_value@5], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Label modifiers must disable the TSID shortcut and keep matching on the remaining labels.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[job@1,\sts@2\],.* Hash([job@1, ts@2],REDACTED
-- SQLNESS REPLACE Hash\(\[job@2,\sts@4\],.* Hash([job@2, ts@4],REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') tsid_binary_join_left / ignoring(host) tsid_binary_join_right;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[job@0 as job, ts@1 as ts, greptime_value@2 / greptime_value@3 as tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value] REDACTED
|_|_|_FilterExec: prom_assert_unique_match_group(__promql_match_group_count@5, job@1, __promql_metric_name@2), projection=[job@1, ts@4, greptime_value@0, greptime_value@3] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@1 as job, __promql_metric_name@3 as __promql_metric_name, greptime_value@4 as greptime_value, ts@5 as ts, __promql_match_group_count@6 as __promql_match_group_count] REDACTED
|_|_|_WindowAggExec: wdw=[__promql_match_group_count: Ok(Field { name: "__promql_match_group_count", data_type: Int64 }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] REDACTED
|_|_|_SortExec: expr=[job@1 ASC NULLS LAST, __promql_metric_name@3 ASC NULLS LAST, ts@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_RepartitionExec: partitioning=Hash([job@1, __promql_metric_name@3, ts@2], 4), input_partitions=REDACTED REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(job@1, job@1), (ts@2, ts@2)], projection=[greptime_value@0, job@1, ts@2, __promql_metric_name@3, greptime_value@4, ts@6], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([job@1, ts@2],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@2 as job, ts@4 as ts, __promql_metric_name@5 as __promql_metric_name] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_FilterExec: prom_assert_unique_match_group(__promql_match_group_count@3, job@1), projection=[greptime_value@0, job@1, ts@2] REDACTED
|_|_|_WindowAggExec: wdw=[__promql_match_group_count: Ok(Field { name: "__promql_match_group_count", data_type: Int64 }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] REDACTED
|_|_|_SortExec: expr=[job@1 ASC NULLS LAST, ts@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_RepartitionExec: partitioning=Hash([job@1, ts@2],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@2 as job, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- `on(job)` must stay label-based when only the left side has extra row-key labels.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[job@1,\sts@2\],.* Hash([job@1, ts@2],REDACTED
-- SQLNESS REPLACE Hash\(\[job@1,\sts@3\],.* Hash([job@1, ts@3],REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') tsid_binary_join_left / on(job) tsid_binary_join_right_by_job;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[job@0 as job, ts@1 as ts, greptime_value@2 / greptime_value@3 as tsid_binary_join_left.greptime_value / tsid_binary_join_right_by_job.greptime_value] REDACTED
|_|_|_FilterExec: prom_assert_unique_match_group(__promql_match_group_count@4, job@1), projection=[job@1, ts@3, greptime_value@0, greptime_value@2] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@1 as job, greptime_value@3 as greptime_value, ts@4 as ts, __promql_match_group_count@5 as __promql_match_group_count] REDACTED
|_|_|_WindowAggExec: wdw=[__promql_match_group_count: Ok(Field { name: "__promql_match_group_count", data_type: Int64 }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(job@1, job@1), (ts@2, ts@2)], projection=[greptime_value@0, job@1, ts@2, greptime_value@3, ts@5], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([job@1, ts@2],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@2 as job, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_FilterExec: prom_assert_unique_match_group(__promql_match_group_count@3, job@1), projection=[greptime_value@0, job@1, ts@2] REDACTED
|_|_|_WindowAggExec: wdw=[__promql_match_group_count: Ok(Field { name: "__promql_match_group_count", data_type: Int64 }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] REDACTED
|_|_|_SortExec: expr=[job@1 ASC NULLS LAST, ts@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_RepartitionExec: partitioning=Hash([job@1, ts@2],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@1 as job, ts@3 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@1 as job, __tsid@2 as __tsid, ts@3 as ts, tsid_binary_join_right_by_job as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, job@3 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Comparison filters can join on `__tsid`, but the filtered result must still behave like
-- a regular derived vector downstream.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@1,\sts@2\],.* Hash([__tsid@1, ts@2],REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@3,\sts@4\],.* Hash([__tsid@3, ts@4],REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') tsid_binary_join_left > tsid_binary_join_right;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@3, __tsid@1), (ts@4, ts@2)], filter=greptime_value@1 < greptime_value@0, projection=[ts@4, greptime_value@0, host@1, job@2, __tsid@3], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([__tsid@3, ts@4],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([__tsid@1, ts@2],REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- `bool` comparison should follow the same TSID-backed matching path.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@1,\sts@2\],.* Hash([__tsid@1, ts@2],REDACTED
-- SQLNESS REPLACE Hash\(\[__tsid@3,\sts@4\],.* Hash([__tsid@3, ts@4],REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') tsid_binary_join_left > bool tsid_binary_join_right;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, CAST(greptime_value@4 < greptime_value@5 AS Float64) as tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(__tsid@1, __tsid@3), (ts@2, ts@4)], projection=[host@4, job@5, ts@7, __tsid@6, greptime_value@3, greptime_value@0], NullsEqual: true REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Comparison filters are a barrier for binary island coalescing because they filter the
-- vector domain instead of producing only a value expression.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[[^\]]+\],.* Hash([REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') ((tsid_binary_join_left > tsid_binary_join_right) / tsid_binary_join_left) * 100;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, greptime_value@4 / greptime_value@5 * 100 as .greptime_value / tsid_binary_join_left.greptime_value * Float64(100)] REDACTED
|_|_|_HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(__tsid@2, __tsid@3), (ts@0, ts@4)], projection=[host@4, job@5, ts@7, __tsid@6, greptime_value@1, greptime_value@3], NullsEqual: true REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@1, __tsid@1), (ts@2, ts@2)], filter=greptime_value@1 < greptime_value@0, projection=[ts@2, greptime_value@0, __tsid@1], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Bool comparisons are intentionally outside the first island optimization version.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[[^\]]+\],.* Hash([REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') ((tsid_binary_join_left > bool tsid_binary_join_right) + tsid_binary_join_left) / tsid_binary_join_left;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, tsid_binary_join_right.tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value + tsid_binary_join_left.greptime_value@4 / greptime_value@5 as lhs.tsid_binary_join_right.tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value + tsid_binary_join_left.greptime_value / rhs.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(__tsid@1, __tsid@3), (ts@0, ts@4)], projection=[host@4, job@5, ts@7, __tsid@6, tsid_binary_join_right.tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value + tsid_binary_join_left.greptime_value@2, greptime_value@3], NullsEqual: true REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, __tsid@1 as __tsid, tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value@2 + greptime_value@3 as tsid_binary_join_right.tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value + tsid_binary_join_left.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@1, __tsid@1), (ts@0, ts@2)], projection=[ts@5, __tsid@4, tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value@2, greptime_value@3], NullsEqual: true REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, __tsid@1 as __tsid, CAST(greptime_value@2 < greptime_value@3 AS Float64) as tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(__tsid@1, __tsid@1), (ts@2, ts@2)], projection=[ts@5, __tsid@4, greptime_value@3, greptime_value@0], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Set operators are a barrier because they have distinct matching and output-domain
-- semantics.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[[^\]]+\],.* Hash([REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') (tsid_binary_join_left or tsid_binary_join_right) / tsid_binary_join_left;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, greptime_value@4 / greptime_value@5 as lhs.greptime_value / rhs.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(__tsid@1, __tsid@3), (ts@0, ts@4)], projection=[host@4, job@5, ts@7, __tsid@6, greptime_value@2, greptime_value@3], NullsEqual: true REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, __tsid@2 as __tsid, greptime_value@3 as greptime_value] REDACTED
|_|_|_UnionDistinctOnExec: on col=[6, 7], ts_col=0 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[ts@2 as ts, Utf8("tsid_binary_join_left")@3 as __promql_metric_name, __tsid@4 as __tsid, greptime_value@5 as greptime_value, host@6 as host, job@7 as job, CASE WHEN __common_expr_1@0 IS NOT NULL THEN __common_expr_1@0 ELSE_END as __promql_or_match_0, CASE WHEN __common_expr_2@1 IS NOT NULL THEN __common_expr_2@1 ELSE_END as __promql_or_match_1] REDACTED
|_|_|_ProjectionExec: expr=[CAST(host@1 AS Utf8) as __common_expr_1, CAST(job@2 AS Utf8) as __common_expr_2, ts@4 as ts, tsid_binary_join_left as Utf8("tsid_binary_join_left"), __tsid@3 as __tsid, greptime_value@0 as greptime_value, host@1 as host, job@2 as job] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[ts@2 as ts, Utf8("tsid_binary_join_right")@3 as __promql_metric_name, __tsid@4 as __tsid, greptime_value@5 as greptime_value, host@6 as host, job@7 as job, CASE WHEN __common_expr_1@0 IS NOT NULL THEN __common_expr_1@0 ELSE_END as __promql_or_match_0, CASE WHEN __common_expr_2@1 IS NOT NULL THEN __common_expr_2@1 ELSE_END as __promql_or_match_1] REDACTED
|_|_|_ProjectionExec: expr=[CAST(host@1 AS Utf8) as __common_expr_1, CAST(job@2 AS Utf8) as __common_expr_2, ts@4 as ts, tsid_binary_join_right as Utf8("tsid_binary_join_right"), __tsid@3 as __tsid, greptime_value@0 as greptime_value, host@1 as host, job@2 as job] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- Group modifiers are many-to-one/one-to-many matching barriers and must stay on the
-- legacy path.
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
-- SQLNESS REPLACE (-+) -
-- SQLNESS REPLACE (\s\s+) _
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE Hash\(\[[^\]]+\],.* Hash([REDACTED
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
TQL ANALYZE (0, 5, '5s') (tsid_binary_join_left / ignoring(host) group_left tsid_binary_join_right) / tsid_binary_join_left;
+-+-+-+
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[host@0 as host, job@1 as job, ts@2 as ts, __tsid@3 as __tsid, tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value@4 / greptime_value@5 as tsid_binary_join_right.tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value / tsid_binary_join_left.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=CollectLeft, join_type=Inner, on=[(__tsid@1, __tsid@3), (ts@0, ts@4)], projection=[host@4, job@5, ts@7, __tsid@6, tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value@2, greptime_value@3], NullsEqual: true REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, __tsid@1 as __tsid, greptime_value@2 / greptime_value@3 as tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value] REDACTED
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(job@1, job@1), (ts@3, ts@2)], projection=[ts@6, __tsid@2, greptime_value@0, greptime_value@4], NullsEqual: true REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_FilterExec: prom_assert_unique_match_group(__promql_match_group_count@3, job@1), projection=[greptime_value@0, job@1, ts@2] REDACTED
|_|_|_WindowAggExec: wdw=[__promql_match_group_count: Ok(Field { name: "__promql_match_group_count", data_type: Int64 }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }] REDACTED
|_|_|_SortExec: expr=[job@1 ASC NULLS LAST, ts@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_RepartitionExec: partitioning=Hash([REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, job@2 as job, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_right as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[greptime_value@0 as greptime_value, host@1 as host, job@2 as job, __tsid@3 as __tsid, ts@4 as ts, tsid_binary_join_left as __promql_metric_name] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..5000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[greptime_value@1 as greptime_value, host@3 as host, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":REDACTED, "distribution":"PerSeries", "mode":"legacy" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
+-+-+-+
-- A group modifier that keeps the many side's whole tag set keeps its `__tsid` too, so the
-- enclosing operation matches on it. Same rows as the label-based plan.
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') (tsid_binary_join_left / ignoring(host) group_left tsid_binary_join_right) / tsid_binary_join_left;
+-------+------+---------------------+--------------------------------------------------------------------------------------------------------------------------------------------+
| host | job | ts | tsid_binary_join_right.tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value / tsid_binary_join_left.greptime_value |
+-------+------+---------------------+--------------------------------------------------------------------------------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 0.3333333333333333 |
| host1 | job1 | 1970-01-01T00:00:05 | 0.2 |
| host2 | job2 | 1970-01-01T00:00:00 | 0.16666666666666666 |
| host2 | job2 | 1970-01-01T00:00:05 | 0.14285714285714285 |
+-------+------+---------------------+--------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') tsid_binary_join_left / tsid_binary_join_right;
+-------+------+---------------------+------------------------------------------------------------------------------+
| host | job | ts | tsid_binary_join_left.greptime_value / tsid_binary_join_right.greptime_value |
+-------+------+---------------------+------------------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 4.0 |
| host1 | job1 | 1970-01-01T00:00:05 | 3.0 |
| host2 | job2 | 1970-01-01T00:00:00 | 3.0 |
| host2 | job2 | 1970-01-01T00:00:05 | 3.0 |
+-------+------+---------------------+------------------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') tsid_binary_join_left / on(job) tsid_binary_join_right_by_job;
+------+---------------------+-------------------------------------------------------------------------------------+
| job | ts | tsid_binary_join_left.greptime_value / tsid_binary_join_right_by_job.greptime_value |
+------+---------------------+-------------------------------------------------------------------------------------+
| job1 | 1970-01-01T00:00:00 | 4.0 |
| job1 | 1970-01-01T00:00:05 | 3.0 |
| job2 | 1970-01-01T00:00:00 | 3.0 |
| job2 | 1970-01-01T00:00:05 | 3.0 |
+------+---------------------+-------------------------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') (tsid_binary_join_left + tsid_binary_join_right) / tsid_binary_join_left;
+-------+------+---------------------+---------------------------------------------------------------------------------------------------------------------+
| host | job | ts | tsid_binary_join_left.greptime_value + tsid_binary_join_right.greptime_value / tsid_binary_join_left.greptime_value |
+-------+------+---------------------+---------------------------------------------------------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 1.25 |
| host1 | job1 | 1970-01-01T00:00:05 | 1.3333333333333333 |
| host2 | job2 | 1970-01-01T00:00:00 | 1.3333333333333333 |
| host2 | job2 | 1970-01-01T00:00:05 | 1.3333333333333333 |
+-------+------+---------------------+---------------------------------------------------------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') ((tsid_binary_join_left + tsid_binary_join_right) * (tsid_binary_join_left - tsid_binary_join_third)) / (tsid_binary_join_left + 2);
+-------+------+---------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| host | job | ts | tsid_binary_join_left.greptime_value + tsid_binary_join_right.greptime_value * tsid_binary_join_left.greptime_value - tsid_binary_join_third.greptime_value / tsid_binary_join_left.greptime_value + Float64(2) |
+-------+------+---------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 10.714285714285714 |
| host1 | job1 | 1970-01-01T00:00:05 | 12.941176470588236 |
| host2 | job2 | 1970-01-01T00:00:00 | 18.0 |
| host2 | job2 | 1970-01-01T00:00:05 | 18.26086956521739 |
+-------+------+---------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') ((tsid_binary_join_left > tsid_binary_join_right) / tsid_binary_join_left) * 100;
+-------+------+---------------------+-----------------------------------------------------------------------+
| host | job | ts | .greptime_value / tsid_binary_join_left.greptime_value * Float64(100) |
+-------+------+---------------------+-----------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 100.0 |
| host1 | job1 | 1970-01-01T00:00:05 | 100.0 |
| host2 | job2 | 1970-01-01T00:00:00 | 100.0 |
| host2 | job2 | 1970-01-01T00:00:05 | 100.0 |
+-------+------+---------------------+-----------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') ((tsid_binary_join_left > bool tsid_binary_join_right) + tsid_binary_join_left) / tsid_binary_join_left;
+-------+------+---------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| host | job | ts | lhs.tsid_binary_join_right.tsid_binary_join_left.greptime_value > tsid_binary_join_right.greptime_value + tsid_binary_join_left.greptime_value / rhs.greptime_value |
+-------+------+---------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 1.0833333333333333 |
| host1 | job1 | 1970-01-01T00:00:05 | 1.0666666666666667 |
| host2 | job2 | 1970-01-01T00:00:00 | 1.0555555555555556 |
| host2 | job2 | 1970-01-01T00:00:05 | 1.0476190476190477 |
+-------+------+---------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') (tsid_binary_join_left or tsid_binary_join_right) / tsid_binary_join_left;
+-------+------+---------------------+-----------------------------------------+
| host | job | ts | lhs.greptime_value / rhs.greptime_value |
+-------+------+---------------------+-----------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | 1.0 |
| host1 | job1 | 1970-01-01T00:00:05 | 1.0 |
| host2 | job2 | 1970-01-01T00:00:00 | 1.0 |
| host2 | job2 | 1970-01-01T00:00:05 | 1.0 |
+-------+------+---------------------+-----------------------------------------+
-- Range functions are outside the first island version; the range selector subtree must
-- remain a barrier.
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') rate(tsid_binary_join_left[5s]) / tsid_binary_join_left;
+------+-----+----+----------------------------------------------------------------------------+
| host | job | ts | lhs.prom_rate(ts_range,greptime_value,ts,Int64(5000)) / rhs.greptime_value |
+------+-----+----+----------------------------------------------------------------------------+
+------+-----+----+----------------------------------------------------------------------------+
-- Regression for aggregating a binary expression over `time()` and a TSID-backed metric.
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 5, '5s') sum by (host, job) (time() - tsid_binary_join_left);
+-------+------+---------------------+-------------------------------------------------------------------+
| host | job | ts | sum(.time / Float64(1000) - tsid_binary_join_left.greptime_value) |
+-------+------+---------------------+-------------------------------------------------------------------+
| host1 | job1 | 1970-01-01T00:00:00 | -12.0 |
| host1 | job1 | 1970-01-01T00:00:05 | -10.0 |
| host2 | job2 | 1970-01-01T00:00:00 | -18.0 |
| host2 | job2 | 1970-01-01T00:00:05 | -16.0 |
+-------+------+---------------------+-------------------------------------------------------------------+
DROP TABLE tsid_binary_join_third;
Affected Rows: 0
DROP TABLE tsid_binary_join_right_by_job;
Affected Rows: 0
DROP TABLE tsid_binary_join_right;
Affected Rows: 0
DROP TABLE tsid_binary_join_left;
Affected Rows: 0
DROP TABLE tsid_binary_join_physical;
Affected Rows: 0
@@ -1 +0,0 @@
../../standalone/promql/tsid_binary_join_regression.sql
@@ -544,6 +544,8 @@ TQL ANALYZE (0, 5, '5s') ((tsid_binary_join_left > bool tsid_binary_join_right)
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
-- SQLNESS REPLACE Utf8\("(tsid_binary_join_left|tsid_binary_join_right)"\)@(\d+) __promql_metric_name@$2
-- SQLNESS REPLACE as\sUtf8\("(tsid_binary_join_left|tsid_binary_join_right)"\) as __promql_metric_name
TQL ANALYZE (0, 5, '5s') (tsid_binary_join_left or tsid_binary_join_right) / tsid_binary_join_left;
+-+-+-+
@@ -211,6 +211,8 @@ TQL ANALYZE (0, 5, '5s') ((tsid_binary_join_left > bool tsid_binary_join_right)
-- SQLNESS REPLACE input_partitions=\d+ input_partitions=REDACTED
-- SQLNESS REPLACE "partition_count":\{(.*?)\} "partition_count":REDACTED
-- SQLNESS REPLACE region=\d+\(\d+,\s+\d+\) region=REDACTED
-- SQLNESS REPLACE Utf8\("(tsid_binary_join_left|tsid_binary_join_right)"\)@(\d+) __promql_metric_name@$2
-- SQLNESS REPLACE as\sUtf8\("(tsid_binary_join_left|tsid_binary_join_right)"\) as __promql_metric_name
TQL ANALYZE (0, 5, '5s') (tsid_binary_join_left or tsid_binary_join_right) / tsid_binary_join_left;
-- Group modifiers are many-to-one/one-to-many matching barriers and must stay on the