feat!: support fp16/bf16 vector

BREAKING CHANGES:

- `FieldColumn::new() -> FieldColumn` -> `FieldColumn::new() -> Result<FieldColumn>`
    - add type checking so it may return Error

issue: milvus-io/milvus#37448

Signed-off-by: Yinzuo Jiang <jiangyinzuo@foxmail.com>
Signed-off-by: Yinzuo Jiang <yinzuo.jiang@zilliz.com>

Cargo.toml

@@ -22,6 +22,7 @@ strum = "0.24"
 strum_macros = "0.24"
 base64 = "0.21.0"
 dashmap = "5.5.3"
+half = "2.4.1"
 
 [build-dependencies]
 tonic-build = { version = "0.8.2", default-features = false, features = [
@@ -30,3 +31,4 @@ tonic-build = { version = "0.8.2", default-features = false, features = [
 
 [dev-dependencies]
 rand = "0.8.5"
+futures = "0.3"

examples/collection.rs

@@ -9,7 +9,8 @@ use std::collections::HashMap;
 
 use rand::prelude::*;
 
-const DEFAULT_VEC_FIELD: &str = "embed";
+const FP32_VEC_FIELD: &str = "float32_vector_field";
+
 const DIM: i64 = 256;
 
 #[tokio::main]
@@ -26,8 +27,8 @@ async fn main() -> Result<(), Error> {
                 true,
             ))
             .add_field(FieldSchema::new_float_vector(
-                DEFAULT_VEC_FIELD,
-                "feature field",
+                FP32_VEC_FIELD,
+                "fp32 feature field",
                 DIM,
             ))
             .build()?;
@@ -48,8 +49,7 @@ async fn hello_milvus(client: &Client, collection: &CollectionSchema) -> Result<
         let embed = rng.gen();
         embed_data.push(embed);
     }
-    let embed_column =
-        FieldColumn::new(collection.get_field(DEFAULT_VEC_FIELD).unwrap(), embed_data);
+    let embed_column = FieldColumn::new(collection.get_field(FP32_VEC_FIELD).unwrap(), embed_data)?;
 
     client
         .insert(collection.name(), vec![embed_column], None)
@@ -62,7 +62,7 @@ async fn hello_milvus(client: &Client, collection: &CollectionSchema) -> Result<
         HashMap::from([("nlist".to_owned(), "32".to_owned())]),
     );
     client
-        .create_index(collection.name(), DEFAULT_VEC_FIELD, index_params)
+        .create_index(collection.name(), FP32_VEC_FIELD, index_params)
         .await?;
     client
         .load_collection(collection.name(), Some(LoadOptions::default()))

examples/fp16_and_bf16.rs

@@ -0,0 +1,119 @@
+use milvus::index::{IndexParams, IndexType};
+use milvus::options::LoadOptions;
+use milvus::query::SearchOptions;
+use milvus::schema::{CollectionSchema, CollectionSchemaBuilder};
+use milvus::{
+    client::Client, data::FieldColumn, error::Error, schema::FieldSchema,
+};
+
+use half::prelude::*;
+use rand::prelude::*;
+use std::collections::HashMap;
+
+const FP16_VEC_FIELD: &str = "float16_vector_field";
+const BF16_VEC_FIELD: &str = "bfloat16_vector_field";
+
+const DIM: i64 = 64;
+
+#[tokio::main]
+async fn main() -> Result<(), Error> {
+    const URL: &str = "http://localhost:19530";
+
+    let client = Client::new(URL).await?;
+
+    let schema =
+        CollectionSchemaBuilder::new("milvus_fp16", "fp16/bf16 example for milvus rust SDK")
+            .add_field(FieldSchema::new_primary_int64(
+                "id",
+                "primary key field",
+                true,
+            ))
+            .add_field(FieldSchema::new_float16_vector(
+                FP16_VEC_FIELD,
+                "fp16 feature field",
+                DIM,
+            ))
+            .add_field(FieldSchema::new_bfloat16_vector(
+                BF16_VEC_FIELD,
+                "bf16 feature field",
+                DIM,
+            ))
+            .build()?;
+    client.create_collection(schema.clone(), None).await?;
+
+    if let Err(err) = fp16_insert_and_query(&client, &schema).await {
+        println!("failed to run hello milvus: {:?}", err);
+    }
+    client.drop_collection(schema.name()).await?;
+
+    Ok(())
+}
+
+fn gen_random_f32_vector(n: i64) -> Vec<f32> {
+    let mut data = Vec::<f32>::with_capacity(n as usize);
+    let mut rng = rand::thread_rng();
+    for _ in 0..n {
+        data.push(rng.gen());
+    }
+    data
+}
+
+async fn fp16_insert_and_query(
+    client: &Client,
+    collection: &CollectionSchema,
+) -> Result<(), Error> {
+    let mut embed_data = Vec::<f32>::new();
+    for _ in 1..=DIM * 1000 {
+        let mut rng = rand::thread_rng();
+        let embed = rng.gen();
+        embed_data.push(embed);
+    }
+
+    // fp16 or bf16 vector accept Vec<f32>, Vec<f64> or Vec<f16>/Vec<bf16> as input
+    let bf16_column = FieldColumn::new(
+        collection.get_field(BF16_VEC_FIELD).unwrap(),
+        Vec::<bf16>::from_f32_slice(embed_data.as_slice()),
+    )?;
+    let fp16_column = FieldColumn::new(collection.get_field(FP16_VEC_FIELD).unwrap(), embed_data)?;
+
+    let result = client
+        .insert(collection.name(), vec![fp16_column, bf16_column], None)
+        .await?;
+    println!("insert cnt: {}", result.insert_cnt);
+    client.flush(collection.name()).await?;
+
+    let create_index_fut = [FP16_VEC_FIELD, BF16_VEC_FIELD].map(|field_name| {
+        let index_params = IndexParams::new(
+            field_name.to_string() + "_index",
+            IndexType::IvfFlat,
+            milvus::index::MetricType::L2,
+            HashMap::from([("nlist".to_owned(), "32".to_owned())]),
+        );
+        client.create_index(collection.name(), field_name, index_params)
+    });
+    futures::future::try_join_all(create_index_fut).await?;
+    client.flush(collection.name()).await?;
+    client
+        .load_collection(collection.name(), Some(LoadOptions::default()))
+        .await?;
+
+    // search
+    let q1 = Vec::<f16>::from_f32_slice(&gen_random_f32_vector(DIM));
+    let q2 = Vec::<f16>::from_f32_slice(&gen_random_f32_vector(DIM));
+    let option = SearchOptions::with_limit(3)
+        .metric_type(milvus::index::MetricType::L2)
+        .output_fields(vec!["id".to_owned(), FP16_VEC_FIELD.to_owned()]);
+    let result = client
+        .search(
+            collection.name(),
+            vec![q1.into(), q2.into()],
+            FP16_VEC_FIELD,
+            &option,
+        )
+        .await?;
+
+    println!("{:?}", result[0]);
+    println!("result num: {}, {}", result[0].size, result[1].size);
+
+    Ok(())
+}

src/collection.rs

@@ -660,6 +660,7 @@ pub type ParamValue = serde_json::Value;
 pub use serde_json::json as ParamValue;
 
 // search result for a single vector
+#[derive(Debug)]
 pub struct SearchResult<'a> {
     pub size: i64,
     pub id: Vec<Value<'a>>,