diff --git a/test/collection_faceting_test.cpp b/test/collection_faceting_test.cpp
index 3126b047..a5acaade 100644
--- a/test/collection_faceting_test.cpp
+++ b/test/collection_faceting_test.cpp
@@ -2047,4 +2047,71 @@ TEST_F(CollectionFacetingTest, RangeFacetTestWithGroupBy) {
     ASSERT_EQ(4.5, results["grouped_hits"][1]["group_key"][0]);
 
     collectionManager.drop_collection("coll1");
+}
+
+TEST_F(CollectionFacetingTest, FloatValueTruncation) {
+    std::vector<field> fields = {field("movie", field_types::STRING, true),
+                                 field("rating", field_types::FLOAT, true),};
+    Collection *coll1 = collectionManager.create_collection(
+            "coll1", 1, fields, "", 0, "", {}, {}).get();
+
+    nlohmann::json doc;
+    doc["movie"] = "The Shawshank Redemption";
+    doc["rating"] = 93.7;
+    ASSERT_TRUE(coll1->add(doc.dump()).ok());
+
+    doc["movie"] = "The Godfather";
+    doc["rating"] = 92.0;
+    ASSERT_TRUE(coll1->add(doc.dump()).ok());
+
+    doc["movie"] = "The Dark Knight";
+    doc["rating"] = 90;
+    ASSERT_TRUE(coll1->add(doc.dump()).ok());
+
+    doc["movie"] = "Inception";
+    doc["rating"] = 88.7;
+    ASSERT_TRUE(coll1->add(doc.dump()).ok());
+
+    doc["movie"] = "Pulp Fiction";
+    doc["rating"] = 89.2;
+    ASSERT_TRUE(coll1->add(doc.dump()).ok());
+
+    doc["movie"] = "Good Will Hunting";
+    doc["rating"] = 83.3;
+    ASSERT_TRUE(coll1->add(doc.dump()).ok());
+
+    auto results = coll1->search("The", {"movie"}, "", {"rating"}, sort_fields, {0}, 10, 1,
+                                        FREQUENCY, {false}, 10, spp::sparse_hash_set<std::string>(),
+                                        spp::sparse_hash_set<std::string>()).get();
+
+    ASSERT_EQ(3, results["hits"].size());
+    ASSERT_EQ(3, results["facet_counts"][0]["counts"].size());
+    ASSERT_EQ("90", results["facet_counts"][0]["counts"][0]["value"].get<std::string>());
+    ASSERT_EQ("92", results["facet_counts"][0]["counts"][1]["value"].get<std::string>());
+    ASSERT_EQ("93.7", results["facet_counts"][0]["counts"][2]["value"].get<std::string>());
+
+    //with filter
+    results = coll1->search("*", {}, "rating: >85", {"rating"}, sort_fields, {0}, 10, 1,
+                                 FREQUENCY, {false}, 10, spp::sparse_hash_set<std::string>(),
+                                 spp::sparse_hash_set<std::string>()).get();
+
+    ASSERT_EQ(5, results["hits"].size());
+    ASSERT_EQ(5, results["facet_counts"][0]["counts"].size());
+    ASSERT_EQ("90", results["facet_counts"][0]["counts"][0]["value"].get<std::string>());
+    ASSERT_EQ("92", results["facet_counts"][0]["counts"][1]["value"].get<std::string>());
+    ASSERT_EQ("88.7", results["facet_counts"][0]["counts"][2]["value"].get<std::string>());
+    ASSERT_EQ("89.2", results["facet_counts"][0]["counts"][3]["value"].get<std::string>());
+    ASSERT_EQ("93.7", results["facet_counts"][0]["counts"][4]["value"].get<std::string>());
+
+    //with filter and group
+    results = coll1->search("*", {}, "rating: >90", {"rating"}, sort_fields, {0}, 10, 1,
+                            FREQUENCY, {false}, 10, spp::sparse_hash_set<std::string>(),
+                            spp::sparse_hash_set<std::string>(), 10, "",
+                            30, 4, "", 10, {},
+                            {}, {"rating"}).get();
+
+    ASSERT_EQ(2, results["grouped_hits"].size());
+    ASSERT_EQ(2, results["facet_counts"][0]["counts"].size());
+    ASSERT_EQ("92", results["facet_counts"][0]["counts"][0]["value"].get<std::string>());
+    ASSERT_EQ("93.7", results["facet_counts"][0]["counts"][1]["value"].get<std::string>());
 }
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