Merge pull request #1424 from k-yomo/support-keyed-parameter-in-aggre…

…gation

Add support for keyed parameter in range and histgram aggregations

examples/aggregation.rs

@@ -110,6 +110,7 @@ fn main() -> tantivy::Result<()> {
                     (9f64..14f64).into(),
                     (14f64..20f64).into(),
                 ],
+                ..Default::default()
             }),
             sub_aggregation: sub_agg_req_1.clone(),
         }),

src/aggregation/agg_req.rs

@@ -20,6 +20,7 @@
 //!             bucket_agg: BucketAggregationType::Range(RangeAggregation{
 //!                 field: "score".to_string(),
 //!                 ranges: vec![(3f64..7f64).into(), (7f64..20f64).into()],
+//!                 keyed: false,
 //!             }),
 //!             sub_aggregation: Default::default(),
 //!         }),
@@ -100,6 +101,12 @@ pub(crate) struct BucketAggregationInternal {
 }
 
 impl BucketAggregationInternal {
+    pub(crate) fn as_range(&self) -> Option<&RangeAggregation> {
+        match &self.bucket_agg {
+            BucketAggregationType::Range(range) => Some(range),
+            _ => None,
+        }
+    }
     pub(crate) fn as_histogram(&self) -> Option<&HistogramAggregation> {
         match &self.bucket_agg {
             BucketAggregationType::Histogram(histogram) => Some(histogram),
@@ -264,6 +271,7 @@ mod tests {
                         (7f64..20f64).into(),
                         (20f64..f64::MAX).into(),
                     ],
+                    keyed: true,
                 }),
                 sub_aggregation: Default::default(),
             }),
@@ -290,7 +298,8 @@ mod tests {
         {
           "from": 20.0
         }
-      ]
+      ],
+      "keyed": true
     }
   }
 }"#;
@@ -312,6 +321,7 @@ mod tests {
                             (7f64..20f64).into(),
                             (20f64..f64::MAX).into(),
                         ],
+                        ..Default::default()
                     }),
                     sub_aggregation: Default::default(),
                 }),
@@ -337,6 +347,7 @@ mod tests {
                         (7f64..20f64).into(),
                         (20f64..f64::MAX).into(),
                     ],
+                    ..Default::default()
                 }),
                 sub_aggregation: agg_req2,
             }),

src/aggregation/agg_req_with_accessor.rs

@@ -77,8 +77,7 @@ impl BucketAggregationWithAccessor {
         let mut inverted_index = None;
         let (accessor, field_type) = match &bucket {
             BucketAggregationType::Range(RangeAggregation {
-                field: field_name,
-                ranges: _,
+                field: field_name, ..
             }) => get_ff_reader_and_validate(reader, field_name, Cardinality::SingleValue)?,
             BucketAggregationType::Histogram(HistogramAggregation {
                 field: field_name, ..

src/aggregation/agg_result.rs

@@ -6,6 +6,7 @@
 
 use std::collections::HashMap;
 
+use fnv::FnvHashMap;
 use serde::{Deserialize, Serialize};
 
 use super::agg_req::BucketAggregationInternal;
@@ -104,7 +105,7 @@ pub enum BucketResult {
     /// sub_aggregations.
     Range {
         /// The range buckets sorted by range.
-        buckets: Vec<RangeBucketEntry>,
+        buckets: BucketEntries<RangeBucketEntry>,
     },
     /// This is the histogram entry for a bucket, which contains a key, count, and optionally
     /// sub_aggregations.
@@ -114,7 +115,7 @@ pub enum BucketResult {
         /// If there are holes depends on the request, if min_doc_count is 0, then there are no
         /// holes between the first and last bucket.
         /// See [HistogramAggregation](super::bucket::HistogramAggregation)
-        buckets: Vec<BucketEntry>,
+        buckets: BucketEntries<BucketEntry>,
     },
     /// This is the term result
     Terms {
@@ -137,6 +138,17 @@ impl BucketResult {
     }
 }
 
+/// This is the wrapper of buckets entries, which can be vector or hashmap
+/// depending on if it's keyed or not.
+#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum BucketEntries<T> {
+    /// Vector format bucket entries
+    Vec(Vec<T>),
+    /// HashMap format bucket entries
+    HashMap(FnvHashMap<String, T>),
+}
+
 /// This is the default entry for a bucket, which contains a key, count, and optionally
 /// sub_aggregations.
 ///

src/aggregation/bucket/histogram/histogram.rs

@@ -48,8 +48,6 @@ use crate::{DocId, TantivyError};
 ///
 /// # Limitations/Compatibility
 ///
-/// The keyed parameter (elasticsearch) is not yet supported.
-///
 /// # JSON Format
 /// ```json
 /// {
@@ -117,6 +115,9 @@ pub struct HistogramAggregation {
     /// Cannot be set in conjunction with min_doc_count > 0, since the empty buckets from extended
     /// bounds would not be returned.
     pub extended_bounds: Option<HistogramBounds>,
+    /// Whether to return the buckets as a hash map
+    #[serde(default)]
+    pub keyed: bool,
 }
 
 impl HistogramAggregation {
@@ -1395,4 +1396,46 @@ mod tests {
 
         Ok(())
     }
+
+    #[test]
+    fn histogram_keyed_buckets_test() -> crate::Result<()> {
+        let index = get_test_index_with_num_docs(false, 100)?;
+
+        let agg_req: Aggregations = vec![(
+            "histogram".to_string(),
+            Aggregation::Bucket(BucketAggregation {
+                bucket_agg: BucketAggregationType::Histogram(HistogramAggregation {
+                    field: "score_f64".to_string(),
+                    interval: 50.0,
+                    keyed: true,
+                    ..Default::default()
+                }),
+                sub_aggregation: Default::default(),
+            }),
+        )]
+        .into_iter()
+        .collect();
+
+        let res = exec_request(agg_req, &index)?;
+
+        assert_eq!(
+            res,
+            json!({
+                "histogram": {
+                    "buckets": {
+                        "0": {
+                            "key": 0.0,
+                            "doc_count": 50
+                        },
+                        "50": {
+                            "key": 50.0,
+                            "doc_count": 50
+                        }
+                    }
+                }
+            })
+        );
+
+        Ok(())
+    }
 }

src/aggregation/bucket/range.rs

@@ -35,8 +35,6 @@ use crate::{DocId, TantivyError};
 /// # Limitations/Compatibility
 /// Overlapping ranges are not yet supported.
 ///
-/// The keyed parameter (elasticsearch) is not yet supported.
-///
 /// # Request JSON Format
 /// ```json
 /// {
@@ -51,13 +49,16 @@ use crate::{DocId, TantivyError};
 ///     }
 /// }
 /// ```
-#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
+#[derive(Clone, Debug, Default, PartialEq, Serialize, Deserialize)]
 pub struct RangeAggregation {
     /// The field to aggregate on.
     pub field: String,
     /// Note that this aggregation includes the from value and excludes the to value for each
     /// range. Extra buckets will be created until the first to, and last from, if necessary.
     pub ranges: Vec<RangeAggregationRange>,
+    /// Whether to return the buckets as a hash map
+    #[serde(default)]
+    pub keyed: bool,
 }
 
 #[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
@@ -406,6 +407,7 @@ mod tests {
         let req = RangeAggregation {
             field: "dummy".to_string(),
             ranges,
+            ..Default::default()
         };
 
         SegmentRangeCollector::from_req_and_validate(
@@ -427,6 +429,7 @@ mod tests {
                 bucket_agg: BucketAggregationType::Range(RangeAggregation {
                     field: "fraction_f64".to_string(),
                     ranges: vec![(0f64..0.1f64).into(), (0.1f64..0.2f64).into()],
+                    ..Default::default()
                 }),
                 sub_aggregation: Default::default(),
             }),
@@ -454,6 +457,49 @@ mod tests {
         Ok(())
     }
 
+    #[test]
+    fn range_keyed_buckets_test() -> crate::Result<()> {
+        let index = get_test_index_with_num_docs(false, 100)?;
+
+        let agg_req: Aggregations = vec![(
+            "range".to_string(),
+            Aggregation::Bucket(BucketAggregation {
+                bucket_agg: BucketAggregationType::Range(RangeAggregation {
+                    field: "fraction_f64".to_string(),
+                    ranges: vec![(0f64..0.1f64).into(), (0.1f64..0.2f64).into()],
+                    keyed: true,
+                }),
+                sub_aggregation: Default::default(),
+            }),
+        )]
+        .into_iter()
+        .collect();
+
+        let collector = AggregationCollector::from_aggs(agg_req, None);
+
+        let reader = index.reader()?;
+        let searcher = reader.searcher();
+        let agg_res = searcher.search(&AllQuery, &collector).unwrap();
+
+        let res: Value = serde_json::from_str(&serde_json::to_string(&agg_res)?)?;
+
+        assert_eq!(
+            res,
+            json!({
+                "range": {
+                    "buckets": {
+                        "*-0": { "key": "*-0", "doc_count": 0, "to": 0.0},
+                        "0-0.1": {"key": "0-0.1", "doc_count": 10, "from": 0.0, "to": 0.1},
+                        "0.1-0.2": {"key": "0.1-0.2", "doc_count": 10, "from": 0.1, "to": 0.2},
+                        "0.2-*": {"key": "0.2-*", "doc_count": 80, "from": 0.2},
+                    }
+                }
+            })
+        );
+
+        Ok(())
+    }
+
     #[test]
     fn bucket_test_extend_range_hole() {
         let buckets = vec![(10f64..20f64).into(), (30f64..40f64).into()];

src/aggregation/intermediate_agg_result.rs

@@ -21,7 +21,7 @@ use super::bucket::{
 use super::metric::{IntermediateAverage, IntermediateStats};
 use super::segment_agg_result::SegmentMetricResultCollector;
 use super::{Key, SerializedKey, VecWithNames};
-use crate::aggregation::agg_result::{AggregationResults, BucketEntry};
+use crate::aggregation::agg_result::{AggregationResults, BucketEntries, BucketEntry};
 use crate::aggregation::bucket::TermsAggregationInternal;
 
 /// Contains the intermediate aggregation result, which is optimized to be merged with other
@@ -281,6 +281,21 @@ impl IntermediateBucketResult {
                         .unwrap_or(f64::MIN)
                         .total_cmp(&right.from.unwrap_or(f64::MIN))
                 });
+
+                let is_keyed = req
+                    .as_range()
+                    .expect("unexpected aggregation, expected range aggregation")
+                    .keyed;
+                let buckets = if is_keyed {
+                    let mut bucket_map =
+                        FnvHashMap::with_capacity_and_hasher(buckets.len(), Default::default());
+                    for bucket in buckets {
+                        bucket_map.insert(bucket.key.to_string(), bucket);
+                    }
+                    BucketEntries::HashMap(bucket_map)
+                } else {
+                    BucketEntries::Vec(buckets)
+                };
                 Ok(BucketResult::Range { buckets })
             }
             IntermediateBucketResult::Histogram { buckets } => {
@@ -291,6 +306,16 @@ impl IntermediateBucketResult {
                     &req.sub_aggregation,
                 )?;
 
+                let buckets = if req.as_histogram().unwrap().keyed {
+                    let mut bucket_map =
+                        FnvHashMap::with_capacity_and_hasher(buckets.len(), Default::default());
+                    for bucket in buckets {
+                        bucket_map.insert(bucket.key.to_string(), bucket);
+                    }
+                    BucketEntries::HashMap(bucket_map)
+                } else {
+                    BucketEntries::Vec(buckets)
+                };
                 Ok(BucketResult::Histogram { buckets })
             }
             IntermediateBucketResult::Terms(terms) => terms.into_final_result(

src/aggregation/metric/stats.rs

@@ -285,6 +285,7 @@ mod tests {
                             (7f64..19f64).into(),
                             (19f64..20f64).into(),
                         ],
+                        ..Default::default()
                     }),
                     sub_aggregation: iter::once((
                         "stats".to_string(),