test: update test to include histogram

Cargo.lock

@@ -5459,7 +5459,7 @@ dependencies = [
 [[package]]
 name = "greptime-proto"
 version = "0.1.0"
-source = "git+https://github.com/GreptimeTeam/greptime-proto.git?rev=0423fa30203187c75e2937a668df1da699c8b96c#0423fa30203187c75e2937a668df1da699c8b96c"
+source = "git+https://github.com/GreptimeTeam/greptime-proto.git?rev=173efe5ec62722089db7c531c0b0d470a072b915#173efe5ec62722089db7c531c0b0d470a072b915"
 dependencies = [
  "prost 0.13.5",
  "prost-types 0.13.5",

Cargo.toml

@@ -150,8 +150,7 @@ etcd-client = { git = "https://github.com/GreptimeTeam/etcd-client", rev = "f62d
 fst = "0.4.7"
 futures = "0.3"
 futures-util = "0.3"
-# protobuf definitions
-greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "0423fa30203187c75e2937a668df1da699c8b96c" }
+greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "173efe5ec62722089db7c531c0b0d470a072b915" }
 hex = "0.4"
 http = "1"
 humantime = "2.1"

src/common/telemetry/src/metric.rs

@@ -71,6 +71,7 @@ pub fn convert_metric_to_write_request(
                         timestamp,
                     }],
                     exemplars: vec![],
+                    histograms: vec![],
                 }),
                 MetricType::GAUGE => timeseries.push(TimeSeries {
                     labels: convert_label(m.get_label(), mf_name, None),
@@ -79,6 +80,7 @@ pub fn convert_metric_to_write_request(
                         timestamp,
                     }],
                     exemplars: vec![],
+                    histograms: vec![],
                 }),
                 MetricType::HISTOGRAM => {
                     let h = m.get_histogram();
@@ -97,6 +99,7 @@ pub fn convert_metric_to_write_request(
                                 timestamp,
                             }],
                             exemplars: vec![],
+                            histograms: vec![],
                         });
                         if upper_bound.is_sign_positive() && upper_bound.is_infinite() {
                             inf_seen = true;
@@ -114,6 +117,7 @@ pub fn convert_metric_to_write_request(
                                 timestamp,
                             }],
                             exemplars: vec![],
+                            histograms: vec![],
                         });
                     }
                     timeseries.push(TimeSeries {
@@ -127,6 +131,7 @@ pub fn convert_metric_to_write_request(
                             timestamp,
                         }],
                         exemplars: vec![],
+                        histograms: vec![],
                     });
                     timeseries.push(TimeSeries {
                         labels: convert_label(
@@ -139,6 +144,7 @@ pub fn convert_metric_to_write_request(
                             timestamp,
                         }],
                         exemplars: vec![],
+                        histograms: vec![],
                     });
                 }
                 MetricType::SUMMARY => {
@@ -155,6 +161,7 @@ pub fn convert_metric_to_write_request(
                                 timestamp,
                             }],
                             exemplars: vec![],
+                            histograms: vec![],
                         });
                     }
                     timeseries.push(TimeSeries {
@@ -168,6 +175,7 @@ pub fn convert_metric_to_write_request(
                             timestamp,
                         }],
                         exemplars: vec![],
+                        histograms: vec![],
                     });
                     timeseries.push(TimeSeries {
                         labels: convert_label(
@@ -180,6 +188,7 @@ pub fn convert_metric_to_write_request(
                             timestamp,
                         }],
                         exemplars: vec![],
+                        histograms: vec![],
                     });
                 }
                 MetricType::UNTYPED => {
@@ -274,7 +283,7 @@ mod test {
 
         assert_eq!(
             format!("{:?}", write_quest.timeseries),
-            r#"[TimeSeries { labels: [Label { name: "__name__", value: "test_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }]"#
+            r#"[TimeSeries { labels: [Label { name: "__name__", value: "test_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }]"#
         );
 
         let gauge_opts = Opts::new("test_gauge", "test help")
@@ -288,7 +297,7 @@ mod test {
         let write_quest = convert_metric_to_write_request(mf, None, 0);
         assert_eq!(
             format!("{:?}", write_quest.timeseries),
-            r#"[TimeSeries { labels: [Label { name: "__name__", value: "test_gauge" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 42.0, timestamp: 0 }], exemplars: [] }]"#
+            r#"[TimeSeries { labels: [Label { name: "__name__", value: "test_gauge" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 42.0, timestamp: 0 }], exemplars: [], histograms: [] }]"#
         );
     }
 
@@ -305,20 +314,20 @@ mod test {
             .iter()
             .map(|x| format!("{:?}", x))
             .collect();
-        let ans = r#"TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.005" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.01" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.025" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.05" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.1" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.25" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.5" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "1" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "2.5" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "5" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "10" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "+Inf" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_sum" }, Label { name: "a", value: "1" }], samples: [Sample { value: 0.25, timestamp: 0 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_count" }, Label { name: "a", value: "1" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }"#;
+        let ans = r#"TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.005" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.01" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.025" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.05" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.1" }], samples: [Sample { value: 0.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.25" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "0.5" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "1" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "2.5" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "5" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "10" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_bucket" }, Label { name: "a", value: "1" }, Label { name: "le", value: "+Inf" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_sum" }, Label { name: "a", value: "1" }], samples: [Sample { value: 0.25, timestamp: 0 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_count" }, Label { name: "a", value: "1" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }"#;
         assert_eq!(write_quest_str.join("\n"), ans);
     }
 
@@ -355,10 +364,10 @@ TimeSeries { labels: [Label { name: "__name__", value: "test_histogram_count" },
             .iter()
             .map(|x| format!("{:?}", x))
             .collect();
-        let ans = r#"TimeSeries { labels: [Label { name: "__name__", value: "test_summary" }, Label { name: "quantile", value: "50" }], samples: [Sample { value: 3.0, timestamp: 20 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_summary" }, Label { name: "quantile", value: "100" }], samples: [Sample { value: 5.0, timestamp: 20 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_summary_sum" }], samples: [Sample { value: 15.0, timestamp: 20 }], exemplars: [] }
-TimeSeries { labels: [Label { name: "__name__", value: "test_summary_count" }], samples: [Sample { value: 5.0, timestamp: 20 }], exemplars: [] }"#;
+        let ans = r#"TimeSeries { labels: [Label { name: "__name__", value: "test_summary" }, Label { name: "quantile", value: "50" }], samples: [Sample { value: 3.0, timestamp: 20 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_summary" }, Label { name: "quantile", value: "100" }], samples: [Sample { value: 5.0, timestamp: 20 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_summary_sum" }], samples: [Sample { value: 15.0, timestamp: 20 }], exemplars: [], histograms: [] }
+TimeSeries { labels: [Label { name: "__name__", value: "test_summary_count" }], samples: [Sample { value: 5.0, timestamp: 20 }], exemplars: [], histograms: [] }"#;
         assert_eq!(write_quest_str.join("\n"), ans);
     }
 
@@ -385,11 +394,11 @@ TimeSeries { labels: [Label { name: "__name__", value: "test_summary_count" }],
         let write_quest2 = convert_metric_to_write_request(mf, Some(&filter), 0);
         assert_eq!(
             format!("{:?}", write_quest1.timeseries),
-            r#"[TimeSeries { labels: [Label { name: "__name__", value: "filter_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [] }, TimeSeries { labels: [Label { name: "__name__", value: "test_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 2.0, timestamp: 0 }], exemplars: [] }]"#
+            r#"[TimeSeries { labels: [Label { name: "__name__", value: "filter_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 1.0, timestamp: 0 }], exemplars: [], histograms: [] }, TimeSeries { labels: [Label { name: "__name__", value: "test_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 2.0, timestamp: 0 }], exemplars: [], histograms: [] }]"#
         );
         assert_eq!(
             format!("{:?}", write_quest2.timeseries),
-            r#"[TimeSeries { labels: [Label { name: "__name__", value: "test_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 2.0, timestamp: 0 }], exemplars: [] }]"#
+            r#"[TimeSeries { labels: [Label { name: "__name__", value: "test_counter" }, Label { name: "a", value: "1" }, Label { name: "b", value: "2" }], samples: [Sample { value: 2.0, timestamp: 0 }], exemplars: [], histograms: [] }]"#
         );
     }
 }

src/servers/src/prom_store.rs

@@ -26,7 +26,7 @@ use arrow::datatypes::{Float64Type, TimestampMillisecondType};
 use common_grpc::precision::Precision;
 use common_query::prelude::{greptime_timestamp, greptime_value};
 use common_recordbatch::{RecordBatch, RecordBatches};
-use common_telemetry::tracing;
+use common_telemetry::{tracing, warn};
 use datafusion::dataframe::DataFrame;
 use datafusion::prelude::{Expr, col, lit, regexp_match};
 use datafusion_common::ScalarValue;
@@ -415,6 +415,10 @@ pub fn to_grpc_row_insert_requests(request: &WriteRequest) -> Result<(RowInsertR
                 table_data.add_row(one_row);
             }
         }
+
+        if !series.histograms.is_empty() {
+            warn!("Native histograms are not supported yet, data ignored");
+        }
     }
 
     Ok(multi_table_data.into_row_insert_requests())