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test(promql): update plans for metric name identity

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Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
This commit is contained in:
discord9
2026-10-12 11:12:24 +08:00
parent b316be8f44
commit 1c46e08806
1 changed files with 244 additions and 184 deletions
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src/query/src/promql/planner/test.rs
+244 -184
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@@ -1923,13 +1923,15 @@ async fn do_single_instant_function_call(fn_name: &'static str, plan_name: &str)
.unwrap();
let expected = String::from(
"Filter: TEMPLATE(field_0) IS NOT NULL [timestamp:Timestamp(ms), TEMPLATE(field_0):Float64;N, tag_0:Utf8]\
\n Projection: some_metric.timestamp, TEMPLATE(some_metric.field_0) AS TEMPLATE(field_0), some_metric.tag_0 [timestamp:Timestamp(ms), TEMPLATE(field_0):Float64;N, tag_0:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 != Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]"
"Projection: some_metric.timestamp, TEMPLATE(field_0), some_metric.tag_0 [timestamp:Timestamp(ms), TEMPLATE(field_0):Float64;N, tag_0:Utf8]\
\n Filter: TEMPLATE(field_0) IS NOT NULL [timestamp:Timestamp(ms), TEMPLATE(field_0):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.timestamp, TEMPLATE(some_metric.field_0) AS TEMPLATE(field_0), some_metric.tag_0, __promql_metric_name [timestamp:Timestamp(ms), TEMPLATE(field_0):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 != Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]"
).replace("TEMPLATE", plan_name);
assert_eq!(plan.display_indent_schema().to_string(), expected);
@@ -2156,11 +2158,12 @@ async fn do_aggregate_expr_plan(fn_name: &str, plan_name: &str) {
let expected_no_without = String::from(
"Sort: some_metric.tag_1 ASC NULLS LAST, some_metric.timestamp ASC NULLS LAST [tag_1:Utf8, timestamp:Timestamp(ms), TEMPLATE(some_metric.field_0):Float64;N, TEMPLATE(some_metric.field_1):Float64;N]\
\n Aggregate: groupBy=[[some_metric.tag_1, some_metric.timestamp]], aggr=[[TEMPLATE(some_metric.field_0), TEMPLATE(some_metric.field_1)]] [tag_1:Utf8, timestamp:Timestamp(ms), TEMPLATE(some_metric.field_0):Float64;N, TEMPLATE(some_metric.field_1):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\", \"tag_1\"] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.tag_1 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Filter: some_metric.tag_0 != Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]"
\n Projection: some_metric.tag_0, some_metric.tag_1, some_metric.timestamp, some_metric.field_0, some_metric.field_1, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\", \"tag_1\"] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.tag_1 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Filter: some_metric.tag_0 != Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]"
).replace("TEMPLATE", plan_name);
assert_eq!(
plan.display_indent_schema().to_string(),
@@ -2185,11 +2188,12 @@ async fn do_aggregate_expr_plan(fn_name: &str, plan_name: &str) {
let expected_without = String::from(
"Sort: some_metric.tag_0 ASC NULLS LAST, some_metric.timestamp ASC NULLS LAST [tag_0:Utf8, timestamp:Timestamp(ms), TEMPLATE(some_metric.field_0):Float64;N, TEMPLATE(some_metric.field_1):Float64;N]\
\n Aggregate: groupBy=[[some_metric.tag_0, some_metric.timestamp]], aggr=[[TEMPLATE(some_metric.field_0), TEMPLATE(some_metric.field_1)]] [tag_0:Utf8, timestamp:Timestamp(ms), TEMPLATE(some_metric.field_0):Float64;N, TEMPLATE(some_metric.field_1):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\", \"tag_1\"] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.tag_1 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Filter: some_metric.tag_0 != Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]"
\n Projection: some_metric.tag_0, some_metric.tag_1, some_metric.timestamp, some_metric.field_0, some_metric.field_1, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\", \"tag_1\"] [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.tag_1 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n Filter: some_metric.tag_0 != Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, tag_1:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N]"
).replace("TEMPLATE", plan_name);
assert_eq!(plan.display_indent_schema().to_string(), expected_without);
}
@@ -4443,20 +4447,26 @@ async fn binary_op_column_column() {
.unwrap();
let expected = String::from(
"Projection: rhs.tag_0, rhs.timestamp, CAST(lhs.field_0 AS Float64) + CAST(rhs.field_0 AS Float64) AS lhs.field_0 + rhs.field_0 [tag_0:Utf8, timestamp:Timestamp(ms), lhs.field_0 + rhs.field_0:Float64;N]\
\n Inner Join: lhs.tag_0 = rhs.tag_0, lhs.timestamp = rhs.timestamp [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n SubqueryAlias: lhs [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 = Utf8(\"foo\") AND some_metric.tag_0 = Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n SubqueryAlias: rhs [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 = Utf8(\"bar\") AND some_metric.tag_0 = Utf8(\"foo\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: rhs.tag_0, rhs.timestamp, lhs.field_0 + rhs.field_0 [tag_0:Utf8, timestamp:Timestamp(ms), lhs.field_0 + rhs.field_0:Float64;N]\
\n Projection: rhs.tag_0, rhs.__promql_metric_name, rhs.timestamp, CAST(lhs.field_0 AS Float64) + CAST(rhs.field_0 AS Float64) AS lhs.field_0 + rhs.field_0 [tag_0:Utf8, __promql_metric_name:Utf8, timestamp:Timestamp(ms), lhs.field_0 + rhs.field_0:Float64;N]\
\n Inner Join: lhs.tag_0 = rhs.tag_0, lhs.timestamp = rhs.timestamp [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8, tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n SubqueryAlias: lhs [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 = Utf8(\"foo\") AND some_metric.tag_0 = Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n SubqueryAlias: rhs [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Filter: prom_assert_unique_match_group(__promql_match_group_count, some_metric.tag_0) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8, __promql_match_group_count:Int64]\
\n WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [some_metric.tag_0, some_metric.timestamp] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS __promql_match_group_count]] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8, __promql_match_group_count:Int64]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 = Utf8(\"bar\") AND some_metric.tag_0 = Utf8(\"foo\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
assert_eq!(plan.display_indent_schema().to_string(), expected);
@@ -4502,12 +4512,14 @@ async fn indie_query_plan_compare<T: AsRef<str>>(query: &str, expected: T) {
async fn binary_op_literal_column() {
let query = r#"1 + some_metric{tag_0="bar"}"#;
let expected = String::from(
"Projection: some_metric.tag_0, some_metric.timestamp, Float64(1) + CAST(some_metric.field_0 AS Float64) AS Float64(1) + field_0 [tag_0:Utf8, timestamp:Timestamp(ms), Float64(1) + field_0:Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 = Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.tag_0, some_metric.timestamp, Float64(1) + field_0 [tag_0:Utf8, timestamp:Timestamp(ms), Float64(1) + field_0:Float64;N]\
\n Projection: some_metric.tag_0, __promql_metric_name, some_metric.timestamp, Float64(1) + CAST(some_metric.field_0 AS Float64) AS Float64(1) + field_0 [tag_0:Utf8, __promql_metric_name:Utf8, timestamp:Timestamp(ms), Float64(1) + field_0:Float64;N]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.tag_0 = Utf8(\"bar\") AND some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -4525,12 +4537,14 @@ async fn binary_op_literal_literal() {
async fn simple_bool_grammar() {
let query = "some_metric != bool 1.2345";
let expected = String::from(
"Projection: some_metric.tag_0, some_metric.timestamp, CAST(some_metric.field_0 != Float64(1.2345) AS Float64) AS field_0 != Float64(1.2345) [tag_0:Utf8, timestamp:Timestamp(ms), field_0 != Float64(1.2345):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.tag_0, some_metric.timestamp, field_0 != Float64(1.2345) [tag_0:Utf8, timestamp:Timestamp(ms), field_0 != Float64(1.2345):Float64;N]\
\n Projection: some_metric.tag_0, __promql_metric_name, some_metric.timestamp, CAST(some_metric.field_0 != Float64(1.2345) AS Float64) AS field_0 != Float64(1.2345) [tag_0:Utf8, __promql_metric_name:Utf8, timestamp:Timestamp(ms), field_0 != Float64(1.2345):Float64;N]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -4540,12 +4554,14 @@ async fn simple_bool_grammar() {
async fn bool_with_additional_arithmetic() {
let query = "some_metric + (1 == bool 2)";
let expected = String::from(
"Projection: some_metric.tag_0, some_metric.timestamp, CAST(some_metric.field_0 AS Float64) + CAST(Float64(1) = Float64(2) AS Float64) AS field_0 + Float64(1) = Float64(2) [tag_0:Utf8, timestamp:Timestamp(ms), field_0 + Float64(1) = Float64(2):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.tag_0, some_metric.timestamp, field_0 + Float64(1) = Float64(2) [tag_0:Utf8, timestamp:Timestamp(ms), field_0 + Float64(1) = Float64(2):Float64;N]\
\n Projection: some_metric.tag_0, __promql_metric_name, some_metric.timestamp, CAST(some_metric.field_0 AS Float64) + CAST(Float64(1) = Float64(2) AS Float64) AS field_0 + Float64(1) = Float64(2) [tag_0:Utf8, __promql_metric_name:Utf8, timestamp:Timestamp(ms), field_0 + Float64(1) = Float64(2):Float64;N]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -4555,12 +4571,14 @@ async fn bool_with_additional_arithmetic() {
async fn simple_unary() {
let query = "-some_metric";
let expected = String::from(
"Projection: some_metric.tag_0, some_metric.timestamp, (- some_metric.field_0) AS (- field_0) [tag_0:Utf8, timestamp:Timestamp(ms), (- field_0):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.tag_0, some_metric.timestamp, (- field_0) [tag_0:Utf8, timestamp:Timestamp(ms), (- field_0):Float64;N]\
\n Projection: some_metric.tag_0, __promql_metric_name, some_metric.timestamp, (- some_metric.field_0) AS (- field_0) [tag_0:Utf8, __promql_metric_name:Utf8, timestamp:Timestamp(ms), (- field_0):Float64;N]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -4570,14 +4588,16 @@ async fn simple_unary() {
async fn increase_aggr() {
let query = "increase(some_metric[5m])";
let expected = String::from(
"Filter: prom_increase(timestamp_range,field_0,timestamp,Int64(300000)) IS NOT NULL [timestamp:Timestamp(ms), prom_increase(timestamp_range,field_0,timestamp,Int64(300000)):Float64;N, tag_0:Utf8]\
\n Projection: some_metric.timestamp, prom_increase(timestamp_range, field_0, some_metric.timestamp, Int64(300000)) AS prom_increase(timestamp_range,field_0,timestamp,Int64(300000)), some_metric.tag_0 [timestamp:Timestamp(ms), prom_increase(timestamp_range,field_0,timestamp,Int64(300000)):Float64;N, tag_0:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[300000], time index=[timestamp], values=[\"field_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-299999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.timestamp, prom_increase(timestamp_range,field_0,timestamp,Int64(300000)), some_metric.tag_0 [timestamp:Timestamp(ms), prom_increase(timestamp_range,field_0,timestamp,Int64(300000)):Float64;N, tag_0:Utf8]\
\n Filter: prom_increase(timestamp_range,field_0,timestamp,Int64(300000)) IS NOT NULL [timestamp:Timestamp(ms), prom_increase(timestamp_range,field_0,timestamp,Int64(300000)):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.timestamp, prom_increase(timestamp_range, field_0, some_metric.timestamp, Int64(300000)) AS prom_increase(timestamp_range,field_0,timestamp,Int64(300000)), some_metric.tag_0, __promql_metric_name [timestamp:Timestamp(ms), prom_increase(timestamp_range,field_0,timestamp,Int64(300000)):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, field_0, timestamp_range, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms)), __promql_metric_name:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[300000], time index=[timestamp], values=[\"field_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-299999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -5294,14 +5314,16 @@ async fn mixed_native_histogram_ranges_use_coordinated_udfs() {
PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[600000], time index=[timestamp], values=["greptime_value", "greptime_native_histogram"] [timestamp:Timestamp(ms), greptime_value:Dictionary(Int64, Float64);N, greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, tag_0:Utf8, timestamp_range:Dictionary(Int64, Timestamp(ms))]
PromSeriesDivide: tags=["tag_0"] [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
Filter: greptime_value IS NOT NULL OR greptime_native_histogram IS NOT NULL [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
Projection: some_metric.timestamp, prom_mixed_range_float(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_value, prom_mixed_range_histogram(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_native_histogram, some_metric.tag_0 [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
PromRangeManipulate: req range=[-540000..100000000], interval=[60000], eval range=[300000], time index=[timestamp], values=["greptime_native_histogram", "greptime_value"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, greptime_value:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]
PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
PromSeriesDivide: tags=["tag_0"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
Filter: some_metric.timestamp >= TimestampMillisecond(-839999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]"#;
Projection: some_metric.timestamp, greptime_value, greptime_native_histogram, some_metric.tag_0 [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
Filter: greptime_value IS NOT NULL OR greptime_native_histogram IS NOT NULL [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8, __promql_metric_name:Utf8]
Projection: some_metric.timestamp, prom_mixed_range_float(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_value, prom_mixed_range_histogram(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_native_histogram, some_metric.tag_0, __promql_metric_name [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8, __promql_metric_name:Utf8]
Projection: some_metric.tag_0, some_metric.timestamp, greptime_native_histogram, greptime_value, timestamp_range, Utf8("some_metric") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, greptime_value:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms)), __promql_metric_name:Utf8]
PromRangeManipulate: req range=[-540000..100000000], interval=[60000], eval range=[300000], time index=[timestamp], values=["greptime_native_histogram", "greptime_value"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, greptime_value:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]
PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
PromSeriesDivide: tags=["tag_0"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
Filter: some_metric.timestamp >= TimestampMillisecond(-839999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]"#;
assert_eq!(plan, expected);
}
@@ -5508,12 +5530,13 @@ async fn native_histogram_mixed_field_table_behaves() {
async fn less_filter_on_value() {
let query = "some_metric < 1.2345";
let expected = String::from(
"Filter: some_metric.field_0 < Float64(1.2345) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Filter: some_metric.field_0 < Float64(1.2345) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -5523,14 +5546,16 @@ async fn less_filter_on_value() {
async fn count_over_time() {
let query = "count_over_time(some_metric[5m])";
let expected = String::from(
"Filter: prom_count_over_time(timestamp_range,field_0) IS NOT NULL [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8]\
\n Projection: some_metric.timestamp, prom_count_over_time(timestamp_range, field_0) AS prom_count_over_time(timestamp_range,field_0), some_metric.tag_0 [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[300000], time index=[timestamp], values=[\"field_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-299999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.timestamp, prom_count_over_time(timestamp_range,field_0), some_metric.tag_0 [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8]\
\n Filter: prom_count_over_time(timestamp_range,field_0) IS NOT NULL [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.timestamp, prom_count_over_time(timestamp_range, field_0) AS prom_count_over_time(timestamp_range,field_0), some_metric.tag_0, __promql_metric_name [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, field_0, timestamp_range, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms)), __promql_metric_name:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[300000], time index=[timestamp], values=[\"field_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-299999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -5542,16 +5567,18 @@ async fn count_over_time() {
async fn count_over_time_subquery() {
let query = "count_over_time(some_metric[10m:1m])";
let expected = String::from(
"Filter: prom_count_over_time(timestamp_range,field_0) IS NOT NULL [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8]\
\n Projection: some_metric.timestamp, prom_count_over_time(timestamp_range, field_0) AS prom_count_over_time(timestamp_range,field_0), some_metric.tag_0 [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[600000], time index=[timestamp], values=[\"field_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromInstantManipulate: range=[-540000..100000000], lookback=[1000], interval=[60000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-540999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.timestamp, prom_count_over_time(timestamp_range,field_0), some_metric.tag_0 [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8]\
\n Filter: prom_count_over_time(timestamp_range,field_0) IS NOT NULL [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n Projection: some_metric.timestamp, prom_count_over_time(timestamp_range, field_0) AS prom_count_over_time(timestamp_range,field_0), some_metric.tag_0, __promql_metric_name [timestamp:Timestamp(ms), prom_count_over_time(timestamp_range,field_0):Float64;N, tag_0:Utf8, __promql_metric_name:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[600000], time index=[timestamp], values=[\"field_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Dictionary(Int64, Float64);N, __promql_metric_name:Utf8, timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesDivide: tags=[\"tag_0\", \"__promql_metric_name\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, __promql_metric_name ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[-540000..100000000], lookback=[1000], interval=[60000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-540999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
}
@@ -6211,26 +6238,29 @@ async fn test_hash_join() {
let plan = PromPlanner::stmt_to_plan(table_provider, &eval_stmt, &build_query_engine_state())
.await
.unwrap();
let expected = "Projection: http_server_requests_seconds_sum.uri, http_server_requests_seconds_count.greptime_timestamp, CAST(http_server_requests_seconds_sum.greptime_value AS Float64) / CAST(http_server_requests_seconds_count.greptime_value AS Float64) AS http_server_requests_seconds_sum.greptime_value / http_server_requests_seconds_count.greptime_value\
\n Projection: http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.kubernetes_namespace, http_server_requests_seconds_sum.kubernetes_pod_name, http_server_requests_seconds_sum.greptime_timestamp, http_server_requests_seconds_sum.greptime_value, http_server_requests_seconds_count.uri, http_server_requests_seconds_count.kubernetes_namespace, http_server_requests_seconds_count.kubernetes_pod_name, http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_count.greptime_value\
\n Filter: prom_assert_unique_match_group(__promql_match_group_count, http_server_requests_seconds_sum.uri)\
\n WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.greptime_timestamp] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS __promql_match_group_count]]\
\n Inner Join: http_server_requests_seconds_sum.greptime_timestamp = http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_sum.uri = http_server_requests_seconds_count.uri\
\n SubqueryAlias: http_server_requests_seconds_sum\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp]\
\n PromSeriesDivide: tags=[\"uri\", \"kubernetes_namespace\", \"kubernetes_pod_name\"]\
\n Sort: http_server_requests_seconds_sum.uri ASC NULLS FIRST, http_server_requests_seconds_sum.kubernetes_namespace ASC NULLS FIRST, http_server_requests_seconds_sum.kubernetes_pod_name ASC NULLS FIRST, http_server_requests_seconds_sum.greptime_timestamp ASC NULLS FIRST\
\n Filter: http_server_requests_seconds_sum.uri = Utf8(\"/accounts/login\") AND http_server_requests_seconds_sum.greptime_timestamp >= TimestampMillisecond(-999, None) AND http_server_requests_seconds_sum.greptime_timestamp <= TimestampMillisecond(100000000, None)\
\n TableScan: http_server_requests_seconds_sum\
\n SubqueryAlias: http_server_requests_seconds_count\
\n Projection: http_server_requests_seconds_count.uri, http_server_requests_seconds_count.kubernetes_namespace, http_server_requests_seconds_count.kubernetes_pod_name, http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_count.greptime_value\
\n Filter: prom_assert_unique_match_group(__promql_match_group_count, http_server_requests_seconds_count.uri)\
\n WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [http_server_requests_seconds_count.uri, http_server_requests_seconds_count.greptime_timestamp] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS __promql_match_group_count]]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp]\
\n PromSeriesDivide: tags=[\"uri\", \"kubernetes_namespace\", \"kubernetes_pod_name\"]\
\n Sort: http_server_requests_seconds_count.uri ASC NULLS FIRST, http_server_requests_seconds_count.kubernetes_namespace ASC NULLS FIRST, http_server_requests_seconds_count.kubernetes_pod_name ASC NULLS FIRST, http_server_requests_seconds_count.greptime_timestamp ASC NULLS FIRST\
\n Filter: http_server_requests_seconds_count.uri = Utf8(\"/accounts/login\") AND http_server_requests_seconds_count.greptime_timestamp >= TimestampMillisecond(-999, None) AND http_server_requests_seconds_count.greptime_timestamp <= TimestampMillisecond(100000000, None)\
\n TableScan: http_server_requests_seconds_count";
let expected = "Projection: http_server_requests_seconds_sum.uri, http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_sum.greptime_value / http_server_requests_seconds_count.greptime_value\
\n Projection: http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.__promql_metric_name, http_server_requests_seconds_count.greptime_timestamp, CAST(http_server_requests_seconds_sum.greptime_value AS Float64) / CAST(http_server_requests_seconds_count.greptime_value AS Float64) AS http_server_requests_seconds_sum.greptime_value / http_server_requests_seconds_count.greptime_value\
\n Projection: http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.kubernetes_namespace, http_server_requests_seconds_sum.kubernetes_pod_name, http_server_requests_seconds_sum.greptime_timestamp, http_server_requests_seconds_sum.greptime_value, http_server_requests_seconds_sum.__promql_metric_name, http_server_requests_seconds_count.uri, http_server_requests_seconds_count.kubernetes_namespace, http_server_requests_seconds_count.kubernetes_pod_name, http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_count.greptime_value, http_server_requests_seconds_count.__promql_metric_name\
\n Filter: prom_assert_unique_match_group(__promql_match_group_count, http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.__promql_metric_name)\
\n WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.__promql_metric_name, http_server_requests_seconds_sum.greptime_timestamp] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS __promql_match_group_count]]\
\n Inner Join: http_server_requests_seconds_sum.greptime_timestamp = http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_sum.uri = http_server_requests_seconds_count.uri\
\n SubqueryAlias: http_server_requests_seconds_sum\
\n Projection: http_server_requests_seconds_sum.uri, http_server_requests_seconds_sum.kubernetes_namespace, http_server_requests_seconds_sum.kubernetes_pod_name, http_server_requests_seconds_sum.greptime_timestamp, http_server_requests_seconds_sum.greptime_value, Utf8(\"http_server_requests_seconds_sum\") AS __promql_metric_name\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp]\
\n PromSeriesDivide: tags=[\"uri\", \"kubernetes_namespace\", \"kubernetes_pod_name\"]\
\n Sort: http_server_requests_seconds_sum.uri ASC NULLS FIRST, http_server_requests_seconds_sum.kubernetes_namespace ASC NULLS FIRST, http_server_requests_seconds_sum.kubernetes_pod_name ASC NULLS FIRST, http_server_requests_seconds_sum.greptime_timestamp ASC NULLS FIRST\
\n Filter: http_server_requests_seconds_sum.uri = Utf8(\"/accounts/login\") AND http_server_requests_seconds_sum.greptime_timestamp >= TimestampMillisecond(-999, None) AND http_server_requests_seconds_sum.greptime_timestamp <= TimestampMillisecond(100000000, None)\
\n TableScan: http_server_requests_seconds_sum\
\n SubqueryAlias: http_server_requests_seconds_count\
\n Projection: http_server_requests_seconds_count.uri, http_server_requests_seconds_count.kubernetes_namespace, http_server_requests_seconds_count.kubernetes_pod_name, http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_count.greptime_value, __promql_metric_name\
\n Filter: prom_assert_unique_match_group(__promql_match_group_count, http_server_requests_seconds_count.uri)\
\n WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [http_server_requests_seconds_count.uri, http_server_requests_seconds_count.greptime_timestamp] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS __promql_match_group_count]]\
\n Projection: http_server_requests_seconds_count.uri, http_server_requests_seconds_count.kubernetes_namespace, http_server_requests_seconds_count.kubernetes_pod_name, http_server_requests_seconds_count.greptime_timestamp, http_server_requests_seconds_count.greptime_value, Utf8(\"http_server_requests_seconds_count\") AS __promql_metric_name\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp]\
\n PromSeriesDivide: tags=[\"uri\", \"kubernetes_namespace\", \"kubernetes_pod_name\"]\
\n Sort: http_server_requests_seconds_count.uri ASC NULLS FIRST, http_server_requests_seconds_count.kubernetes_namespace ASC NULLS FIRST, http_server_requests_seconds_count.kubernetes_pod_name ASC NULLS FIRST, http_server_requests_seconds_count.greptime_timestamp ASC NULLS FIRST\
\n Filter: http_server_requests_seconds_count.uri = Utf8(\"/accounts/login\") AND http_server_requests_seconds_count.greptime_timestamp >= TimestampMillisecond(-999, None) AND http_server_requests_seconds_count.greptime_timestamp <= TimestampMillisecond(100000000, None)\
\n TableScan: http_server_requests_seconds_count";
assert_eq!(plan.to_string(), expected);
}
@@ -6638,42 +6668,50 @@ async fn value_matcher() {
async fn custom_schema() {
let query = "some_alt_metric{__schema__=\"greptime_private\"}";
let expected = String::from(
"PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: greptime_private.some_alt_metric.tag_0 ASC NULLS FIRST, greptime_private.some_alt_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: greptime_private.some_alt_metric.timestamp >= TimestampMillisecond(-999, None) AND greptime_private.some_alt_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: greptime_private.some_alt_metric.tag_0, greptime_private.some_alt_metric.timestamp, greptime_private.some_alt_metric.field_0, Utf8(\"some_alt_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: greptime_private.some_alt_metric.tag_0 ASC NULLS FIRST, greptime_private.some_alt_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: greptime_private.some_alt_metric.timestamp >= TimestampMillisecond(-999, None) AND greptime_private.some_alt_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
let query = "some_alt_metric{__database__=\"greptime_private\"}";
let expected = String::from(
"PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: greptime_private.some_alt_metric.tag_0 ASC NULLS FIRST, greptime_private.some_alt_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: greptime_private.some_alt_metric.timestamp >= TimestampMillisecond(-999, None) AND greptime_private.some_alt_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: greptime_private.some_alt_metric.tag_0, greptime_private.some_alt_metric.timestamp, greptime_private.some_alt_metric.field_0, Utf8(\"some_alt_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: greptime_private.some_alt_metric.tag_0 ASC NULLS FIRST, greptime_private.some_alt_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: greptime_private.some_alt_metric.timestamp >= TimestampMillisecond(-999, None) AND greptime_private.some_alt_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
let query = "some_alt_metric{__schema__=\"greptime_private\"} / some_metric";
let expected = String::from(
"Projection: some_metric.tag_0, some_metric.timestamp, CAST(greptime_private.some_alt_metric.field_0 AS Float64) / CAST(some_metric.field_0 AS Float64) AS greptime_private.some_alt_metric.field_0 / some_metric.field_0 [tag_0:Utf8, timestamp:Timestamp(ms), greptime_private.some_alt_metric.field_0 / some_metric.field_0:Float64;N]\
\n Inner Join: greptime_private.some_alt_metric.tag_0 = some_metric.tag_0, greptime_private.some_alt_metric.timestamp = some_metric.timestamp [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n SubqueryAlias: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: greptime_private.some_alt_metric.tag_0 ASC NULLS FIRST, greptime_private.some_alt_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: greptime_private.some_alt_metric.timestamp >= TimestampMillisecond(-999, None) AND greptime_private.some_alt_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n SubqueryAlias: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
"Projection: some_metric.tag_0, some_metric.timestamp, greptime_private.some_alt_metric.field_0 / some_metric.field_0 [tag_0:Utf8, timestamp:Timestamp(ms), greptime_private.some_alt_metric.field_0 / some_metric.field_0:Float64;N]\
\n Projection: some_metric.tag_0, some_metric.__promql_metric_name, some_metric.timestamp, CAST(greptime_private.some_alt_metric.field_0 AS Float64) / CAST(some_metric.field_0 AS Float64) AS greptime_private.some_alt_metric.field_0 / some_metric.field_0 [tag_0:Utf8, __promql_metric_name:Utf8, timestamp:Timestamp(ms), greptime_private.some_alt_metric.field_0 / some_metric.field_0:Float64;N]\
\n Inner Join: greptime_private.some_alt_metric.tag_0 = some_metric.tag_0, greptime_private.some_alt_metric.timestamp = some_metric.timestamp [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8, tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n SubqueryAlias: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Projection: greptime_private.some_alt_metric.tag_0, greptime_private.some_alt_metric.timestamp, greptime_private.some_alt_metric.field_0, Utf8(\"some_alt_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: greptime_private.some_alt_metric.tag_0 ASC NULLS FIRST, greptime_private.some_alt_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: greptime_private.some_alt_metric.timestamp >= TimestampMillisecond(-999, None) AND greptime_private.some_alt_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: greptime_private.some_alt_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n SubqueryAlias: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n Filter: prom_assert_unique_match_group(__promql_match_group_count, some_metric.tag_0) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8, __promql_match_group_count:Int64]\
\n WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [some_metric.tag_0, some_metric.timestamp] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS __promql_match_group_count]] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8, __promql_match_group_count:Int64]\
\n Projection: some_metric.tag_0, some_metric.timestamp, some_metric.field_0, Utf8(\"some_metric\") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n Filter: some_metric.timestamp >= TimestampMillisecond(-999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]\
\n TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]",
);
indie_query_plan_compare(query, expected).await;
@@ -6885,7 +6923,13 @@ async fn test_non_ms_precision() {
.unwrap();
assert_eq!(
plan.display_indent_schema().to_string(),
"PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ms)]\n PromSeriesDivide: tags=[\"tag\"] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n Sort: metrics.tag ASC NULLS FIRST, metrics.timestamp ASC NULLS FIRST [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n Filter: metrics.tag = Utf8(\"1\") AND metrics.timestamp > TimestampNanosecond(-1000000000, None) AND metrics.timestamp <= TimestampNanosecond(100000000000000, None) [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n Projection: metrics.field, metrics.tag, metrics.timestamp [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n TableScan: metrics [tag:Utf8, timestamp:Timestamp(ns), field:Float64;N]"
"Projection: metrics.field, metrics.tag, metrics.timestamp, Utf8(\"metrics\") AS __promql_metric_name [field:Float64;N, tag:Utf8, timestamp:Timestamp(ms), __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ms)]\
\n PromSeriesDivide: tags=[\"tag\"] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n Sort: metrics.tag ASC NULLS FIRST, metrics.timestamp ASC NULLS FIRST [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n Filter: metrics.tag = Utf8(\"1\") AND metrics.timestamp > TimestampNanosecond(-1000000000, None) AND metrics.timestamp <= TimestampNanosecond(100000000000000, None) [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n Projection: metrics.field, metrics.tag, metrics.timestamp [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n TableScan: metrics [tag:Utf8, timestamp:Timestamp(ns), field:Float64;N]"
);
let plan = PromPlanner::stmt_to_plan(
DfTableSourceProvider::new(
@@ -6910,7 +6954,17 @@ async fn test_non_ms_precision() {
.unwrap();
assert_eq!(
plan.display_indent_schema().to_string(),
"Filter: prom_avg_over_time(timestamp_range,field) IS NOT NULL [timestamp:Timestamp(ms), prom_avg_over_time(timestamp_range,field):Float64;N, tag:Utf8]\n Projection: metrics.timestamp, prom_avg_over_time(timestamp_range, field) AS prom_avg_over_time(timestamp_range,field), metrics.tag [timestamp:Timestamp(ms), prom_avg_over_time(timestamp_range,field):Float64;N, tag:Utf8]\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[5000], time index=[timestamp], values=[\"field\"] [field:Dictionary(Int64, Float64);N, tag:Utf8, timestamp:Timestamp(ms), timestamp_range:Dictionary(Int64, Timestamp(ms))]\n PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n PromSeriesDivide: tags=[\"tag\"] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n Sort: metrics.tag ASC NULLS FIRST, metrics.timestamp ASC NULLS FIRST [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n Filter: metrics.tag = Utf8(\"1\") AND metrics.timestamp > TimestampNanosecond(-5000000000, None) AND metrics.timestamp <= TimestampNanosecond(100000000000000, None) [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n Projection: metrics.field, metrics.tag, metrics.timestamp [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\n TableScan: metrics [tag:Utf8, timestamp:Timestamp(ns), field:Float64;N]"
"Projection: metrics.timestamp, prom_avg_over_time(timestamp_range,field), metrics.tag [timestamp:Timestamp(ms), prom_avg_over_time(timestamp_range,field):Float64;N, tag:Utf8]\
\n Filter: prom_avg_over_time(timestamp_range,field) IS NOT NULL [timestamp:Timestamp(ms), prom_avg_over_time(timestamp_range,field):Float64;N, tag:Utf8, __promql_metric_name:Utf8]\
\n Projection: metrics.timestamp, prom_avg_over_time(timestamp_range, field) AS prom_avg_over_time(timestamp_range,field), metrics.tag, __promql_metric_name [timestamp:Timestamp(ms), prom_avg_over_time(timestamp_range,field):Float64;N, tag:Utf8, __promql_metric_name:Utf8]\
\n Projection: field, metrics.tag, metrics.timestamp, timestamp_range, Utf8(\"metrics\") AS __promql_metric_name [field:Dictionary(Int64, Float64);N, tag:Utf8, timestamp:Timestamp(ms), timestamp_range:Dictionary(Int64, Timestamp(ms)), __promql_metric_name:Utf8]\
\n PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[5000], time index=[timestamp], values=[\"field\"] [field:Dictionary(Int64, Float64);N, tag:Utf8, timestamp:Timestamp(ms), timestamp_range:Dictionary(Int64, Timestamp(ms))]\
\n PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n PromSeriesDivide: tags=[\"tag\"] [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n Sort: metrics.tag ASC NULLS FIRST, metrics.timestamp ASC NULLS FIRST [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n Filter: metrics.tag = Utf8(\"1\") AND metrics.timestamp > TimestampNanosecond(-5000000000, None) AND metrics.timestamp <= TimestampNanosecond(100000000000000, None) [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n Projection: metrics.field, metrics.tag, metrics.timestamp [field:Float64;N, tag:Utf8, timestamp:Timestamp(ns)]\
\n TableScan: metrics [tag:Utf8, timestamp:Timestamp(ns), field:Float64;N]"
);
}
@@ -6965,13 +7019,14 @@ async fn test_label_join() {
.unwrap();
let expected = r#"
Filter: up.field_0 IS NOT NULL [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8]
Projection: up.timestamp, up.field_0, nullif(concat_ws(Utf8(","), coalesce(up.tag_1, Utf8("")), coalesce(up.tag_2, Utf8("")), coalesce(up.tag_3, Utf8(""))), Utf8("")) AS foo, up.tag_0, up.tag_1, up.tag_2, up.tag_3 [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8]
PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
PromSeriesDivide: tags=["tag_0", "tag_1", "tag_2", "tag_3"] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Sort: up.tag_0 ASC NULLS FIRST, up.tag_1 ASC NULLS FIRST, up.tag_2 ASC NULLS FIRST, up.tag_3 ASC NULLS FIRST, up.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Filter: up.tag_0 = Utf8("api-server") AND up.timestamp >= TimestampMillisecond(-999, None) AND up.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
TableScan: up [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]"#;
Filter: up.field_0 IS NOT NULL [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, __promql_metric_name:Utf8]
Projection: up.timestamp, up.field_0, nullif(concat_ws(Utf8(","), coalesce(up.tag_1, Utf8("")), coalesce(up.tag_2, Utf8("")), coalesce(up.tag_3, Utf8(""))), Utf8("")) AS foo, up.tag_0, up.tag_1, up.tag_2, up.tag_3, __promql_metric_name [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, __promql_metric_name:Utf8]
Projection: up.tag_0, up.tag_1, up.tag_2, up.tag_3, up.timestamp, up.field_0, Utf8("up") AS __promql_metric_name [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]
PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
PromSeriesDivide: tags=["tag_0", "tag_1", "tag_2", "tag_3"] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Sort: up.tag_0 ASC NULLS FIRST, up.tag_1 ASC NULLS FIRST, up.tag_2 ASC NULLS FIRST, up.tag_3 ASC NULLS FIRST, up.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Filter: up.tag_0 = Utf8("api-server") AND up.timestamp >= TimestampMillisecond(-999, None) AND up.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
TableScan: up [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, tag_3:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]"#;
let ret = plan.display_indent_schema().to_string();
assert_eq!(format!("\n{ret}"), expected, "\n{}", ret);
@@ -7000,13 +7055,14 @@ async fn test_label_replace() {
.unwrap();
let expected = r#"
Filter: up.field_0 IS NOT NULL [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8]
Projection: up.timestamp, up.field_0, CASE WHEN regexp_like(coalesce(up.tag_0, Utf8("")), Utf8("^(?s:(.*):.*)$")) THEN nullif(regexp_replace(coalesce(up.tag_0, Utf8("")), Utf8("^(?s:(.*):.*)$"), Utf8("$1")), Utf8("")) ELSE Utf8(NULL) END AS foo, up.tag_0 [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8]
PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
PromSeriesDivide: tags=["tag_0"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Sort: up.tag_0 ASC NULLS FIRST, up.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Filter: up.tag_0 = Utf8("a:c") AND up.timestamp >= TimestampMillisecond(-999, None) AND up.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
TableScan: up [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]"#;
Filter: up.field_0 IS NOT NULL [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8, __promql_metric_name:Utf8]
Projection: up.timestamp, up.field_0, CASE WHEN regexp_like(coalesce(up.tag_0, Utf8("")), Utf8("^(?s:(.*):.*)$")) THEN nullif(regexp_replace(coalesce(up.tag_0, Utf8("")), Utf8("^(?s:(.*):.*)$"), Utf8("$1")), Utf8("")) ELSE Utf8(NULL) END AS foo, up.tag_0, __promql_metric_name [timestamp:Timestamp(ms), field_0:Float64;N, foo:Utf8;N, tag_0:Utf8, __promql_metric_name:Utf8]
Projection: up.tag_0, up.timestamp, up.field_0, Utf8("up") AS __promql_metric_name [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, __promql_metric_name:Utf8]
PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
PromSeriesDivide: tags=["tag_0"] [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Sort: up.tag_0 ASC NULLS FIRST, up.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
Filter: up.tag_0 = Utf8("a:c") AND up.timestamp >= TimestampMillisecond(-999, None) AND up.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]
TableScan: up [tag_0:Utf8, timestamp:Timestamp(ms), field_0:Float64;N]"#;
let ret = plan.display_indent_schema().to_string();
assert_eq!(format!("\n{ret}"), expected, "\n{}", ret);
@@ -7071,12 +7127,13 @@ async fn test_matchers_to_expr() {
.await
.unwrap();
let expected = "Sort: prometheus_tsdb_head_series.timestamp ASC NULLS LAST [timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.field_0):Float64;N, sum(prometheus_tsdb_head_series.field_1):Float64;N, sum(prometheus_tsdb_head_series.field_2):Float64;N]\
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.timestamp]], aggr=[[sum(prometheus_tsdb_head_series.field_0), sum(prometheus_tsdb_head_series.field_1), sum(prometheus_tsdb_head_series.field_2)]] [timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.field_0):Float64;N, sum(prometheus_tsdb_head_series.field_1):Float64;N, sum(prometheus_tsdb_head_series.field_2):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\", \"tag_1\", \"tag_2\"] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n Sort: prometheus_tsdb_head_series.tag_0 ASC NULLS FIRST, prometheus_tsdb_head_series.tag_1 ASC NULLS FIRST, prometheus_tsdb_head_series.tag_2 ASC NULLS FIRST, prometheus_tsdb_head_series.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n Filter: prometheus_tsdb_head_series.tag_1 ~ Utf8(\"^(?:(10.0.160.237:8080|10.0.160.237:9090))$\") AND prometheus_tsdb_head_series.timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n TableScan: prometheus_tsdb_head_series [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]";
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.timestamp]], aggr=[[sum(prometheus_tsdb_head_series.field_0), sum(prometheus_tsdb_head_series.field_1), sum(prometheus_tsdb_head_series.field_2)]] [timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.field_0):Float64;N, sum(prometheus_tsdb_head_series.field_1):Float64;N, sum(prometheus_tsdb_head_series.field_2):Float64;N]\
\n Projection: prometheus_tsdb_head_series.tag_0, prometheus_tsdb_head_series.tag_1, prometheus_tsdb_head_series.tag_2, prometheus_tsdb_head_series.timestamp, prometheus_tsdb_head_series.field_0, prometheus_tsdb_head_series.field_1, prometheus_tsdb_head_series.field_2, Utf8(\"prometheus_tsdb_head_series\") AS __promql_metric_name [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[timestamp] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n PromSeriesDivide: tags=[\"tag_0\", \"tag_1\", \"tag_2\"] [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n Sort: prometheus_tsdb_head_series.tag_0 ASC NULLS FIRST, prometheus_tsdb_head_series.tag_1 ASC NULLS FIRST, prometheus_tsdb_head_series.tag_2 ASC NULLS FIRST, prometheus_tsdb_head_series.timestamp ASC NULLS FIRST [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n Filter: prometheus_tsdb_head_series.tag_1 ~ Utf8(\"^(?:(10.0.160.237:8080|10.0.160.237:9090))$\") AND prometheus_tsdb_head_series.timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]\
\n TableScan: prometheus_tsdb_head_series [tag_0:Utf8, tag_1:Utf8, tag_2:Utf8, timestamp:Timestamp(ms), field_0:Float64;N, field_1:Float64;N, field_2:Float64;N]";
assert_eq!(plan.display_indent_schema().to_string(), expected);
}
@@ -7114,16 +7171,17 @@ async fn test_topk_expr() {
.await
.unwrap();
let expected = "Projection: sum(prometheus_tsdb_head_series.greptime_value), prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp [sum(prometheus_tsdb_head_series.greptime_value):Float64;N, ip:Utf8, greptime_timestamp:Timestamp(ms)]\
\n Sort: prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ASC NULLS LAST [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW:UInt64]\
\n Filter: row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW <= Float64(10) [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW:UInt64]\
\n WindowAggr: windowExpr=[[row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]] [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW:UInt64]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS LAST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp]], aggr=[[sum(prometheus_tsdb_head_series.greptime_value)]] [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n PromSeriesDivide: tags=[\"ip\"] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS FIRST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS FIRST [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Filter: prometheus_tsdb_head_series.ip ~ Utf8(\"^(?:(10.0.160.237:8080|10.0.160.237:9090))$\") AND prometheus_tsdb_head_series.greptime_timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.greptime_timestamp <= TimestampMillisecond(100000000, None) [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n TableScan: prometheus_tsdb_head_series [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]";
\n Sort: prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ASC NULLS LAST [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW:UInt64]\
\n Filter: row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW <= Float64(10) [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW:UInt64]\
\n WindowAggr: windowExpr=[[row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]] [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N, row_number() PARTITION BY [prometheus_tsdb_head_series.greptime_timestamp] ORDER BY [sum(prometheus_tsdb_head_series.greptime_value) DESC NULLS FIRST, prometheus_tsdb_head_series.ip DESC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW:UInt64]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS LAST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp]], aggr=[[sum(prometheus_tsdb_head_series.greptime_value)]] [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n Projection: prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp, prometheus_tsdb_head_series.greptime_value, Utf8(\"prometheus_tsdb_head_series\") AS __promql_metric_name [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n PromSeriesDivide: tags=[\"ip\"] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS FIRST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS FIRST [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Filter: prometheus_tsdb_head_series.ip ~ Utf8(\"^(?:(10.0.160.237:8080|10.0.160.237:9090))$\") AND prometheus_tsdb_head_series.greptime_timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.greptime_timestamp <= TimestampMillisecond(100000000, None) [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n TableScan: prometheus_tsdb_head_series [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]";
assert_eq!(plan.display_indent_schema().to_string(), expected);
}
@@ -7213,11 +7271,12 @@ Projection: count(prometheus_tsdb_head_series.greptime_value) AS my_series, prom
Sort: prometheus_tsdb_head_series.ip ASC NULLS LAST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST, prometheus_tsdb_head_series.series ASC NULLS LAST [count(prometheus_tsdb_head_series.greptime_value):Int64, ip:Utf8, greptime_timestamp:Timestamp(ms), series:Utf8;N]
Projection: count(prometheus_tsdb_head_series.greptime_value), prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp, prom_float_to_string(prometheus_tsdb_head_series.greptime_value) AS series [count(prometheus_tsdb_head_series.greptime_value):Int64, ip:Utf8, greptime_timestamp:Timestamp(ms), series:Utf8;N]
Aggregate: groupBy=[[prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp, prom_float_to_string(prometheus_tsdb_head_series.greptime_value)]], aggr=[[count(prometheus_tsdb_head_series.greptime_value)]] [ip:Utf8, greptime_timestamp:Timestamp(ms), prom_float_to_string(prometheus_tsdb_head_series.greptime_value):Utf8;N, count(prometheus_tsdb_head_series.greptime_value):Int64]
PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
PromSeriesDivide: tags=["ip"] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
Sort: prometheus_tsdb_head_series.ip ASC NULLS FIRST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS FIRST [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
Filter: prometheus_tsdb_head_series.ip ~ Utf8("^(?:(10.0.160.237:8080|10.0.160.237:9090))$") AND prometheus_tsdb_head_series.greptime_timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.greptime_timestamp <= TimestampMillisecond(100000000, None) [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
TableScan: prometheus_tsdb_head_series [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]"#;
Projection: prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp, prometheus_tsdb_head_series.greptime_value, Utf8("prometheus_tsdb_head_series") AS __promql_metric_name [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N, __promql_metric_name:Utf8]
PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
PromSeriesDivide: tags=["ip"] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
Sort: prometheus_tsdb_head_series.ip ASC NULLS FIRST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS FIRST [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
Filter: prometheus_tsdb_head_series.ip ~ Utf8("^(?:(10.0.160.237:8080|10.0.160.237:9090))$") AND prometheus_tsdb_head_series.greptime_timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.greptime_timestamp <= TimestampMillisecond(100000000, None) [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]
TableScan: prometheus_tsdb_head_series [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]"#;
assert_eq!(format!("\n{}", plan.display_indent_schema()), expected);
}
@@ -7255,14 +7314,15 @@ async fn test_quantile_expr() {
.await
.unwrap();
let expected = "Sort: prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST [greptime_timestamp:Timestamp(ms), quantile(Float64(0.3),sum(prometheus_tsdb_head_series.greptime_value)):Float64;N]\
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.greptime_timestamp]], aggr=[[quantile(Float64(0.3), sum(prometheus_tsdb_head_series.greptime_value))]] [greptime_timestamp:Timestamp(ms), quantile(Float64(0.3),sum(prometheus_tsdb_head_series.greptime_value)):Float64;N]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS LAST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp]], aggr=[[sum(prometheus_tsdb_head_series.greptime_value)]] [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n PromSeriesDivide: tags=[\"ip\"] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS FIRST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS FIRST [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Filter: prometheus_tsdb_head_series.ip ~ Utf8(\"^(?:(10.0.160.237:8080|10.0.160.237:9090))$\") AND prometheus_tsdb_head_series.greptime_timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.greptime_timestamp <= TimestampMillisecond(100000000, None) [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n TableScan: prometheus_tsdb_head_series [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]";
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.greptime_timestamp]], aggr=[[quantile(Float64(0.3), sum(prometheus_tsdb_head_series.greptime_value))]] [greptime_timestamp:Timestamp(ms), quantile(Float64(0.3),sum(prometheus_tsdb_head_series.greptime_value)):Float64;N]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS LAST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS LAST [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n Aggregate: groupBy=[[prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp]], aggr=[[sum(prometheus_tsdb_head_series.greptime_value)]] [ip:Utf8, greptime_timestamp:Timestamp(ms), sum(prometheus_tsdb_head_series.greptime_value):Float64;N]\
\n Projection: prometheus_tsdb_head_series.ip, prometheus_tsdb_head_series.greptime_timestamp, prometheus_tsdb_head_series.greptime_value, Utf8(\"prometheus_tsdb_head_series\") AS __promql_metric_name [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N, __promql_metric_name:Utf8]\
\n PromInstantManipulate: range=[0..100000000], lookback=[1000], interval=[5000], time index=[greptime_timestamp] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n PromSeriesDivide: tags=[\"ip\"] [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Sort: prometheus_tsdb_head_series.ip ASC NULLS FIRST, prometheus_tsdb_head_series.greptime_timestamp ASC NULLS FIRST [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n Filter: prometheus_tsdb_head_series.ip ~ Utf8(\"^(?:(10.0.160.237:8080|10.0.160.237:9090))$\") AND prometheus_tsdb_head_series.greptime_timestamp >= TimestampMillisecond(-999, None) AND prometheus_tsdb_head_series.greptime_timestamp <= TimestampMillisecond(100000000, None) [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]\
\n TableScan: prometheus_tsdb_head_series [ip:Utf8, greptime_timestamp:Timestamp(ms), greptime_value:Float64;N]";
assert_eq!(plan.display_indent_schema().to_string(), expected);
}