support iterator for query and search

Signed-off-by: MrPresent-Han <[email protected]>

examples/iterator.py

@@ -0,0 +1,145 @@
+import numpy as np
+import random
+from pymilvus import (
+    connections,
+    utility,
+    FieldSchema, CollectionSchema, DataType,
+    Collection,
+)
+
+HOST = "localhost"
+PORT = "19530"
+COLLECTION_NAME = "test_iterator"
+USER_ID = "id"
+MAX_LENGTH = 65535
+AGE = "age"
+DEPOSIT = "deposit"
+PICTURE = "picture"
+CONSISTENCY_LEVEL = "Eventually"
+LIMIT = 5
+NUM_ENTITIES = 1000
+DIM = 8
+CLEAR_EXIST = False
+
+
+def re_create_collection():
+    if utility.has_collection(COLLECTION_NAME) and CLEAR_EXIST:
+        utility.drop_collection(COLLECTION_NAME)
+        print(f"dropped existed collection{COLLECTION_NAME}")
+
+    fields = [
+        FieldSchema(name=USER_ID, dtype=DataType.VARCHAR, is_primary=True,
+                    auto_id=False, max_length=MAX_LENGTH),
+        FieldSchema(name=AGE, dtype=DataType.INT64),
+        FieldSchema(name=DEPOSIT, dtype=DataType.DOUBLE),
+        FieldSchema(name=PICTURE, dtype=DataType.FLOAT_VECTOR, dim=DIM)
+    ]
+
+    schema = CollectionSchema(fields)
+    print(f"Create collection {COLLECTION_NAME}")
+    collection = Collection(COLLECTION_NAME, schema, consistency_level=CONSISTENCY_LEVEL)
+    return collection
+
+
+def insert_data(collection):
+    rng = np.random.default_rng(seed=19530)
+    batch_count = 5
+    for i in range(batch_count):
+        entities = [
+            [str(random.randint(NUM_ENTITIES * i, NUM_ENTITIES * (i + 1))) for ni in range(NUM_ENTITIES)],
+            [int(ni % 100) for ni in range(NUM_ENTITIES)],
+            [float(ni) for ni in range(NUM_ENTITIES)],
+            rng.random((NUM_ENTITIES, DIM)),
+        ]
+        collection.insert(entities)
+        collection.flush()
+        print(f"Finish insert batch{i}, number of entities in Milvus: {collection.num_entities}")
+
+def prepare_index(collection):
+    index = {
+        "index_type": "IVF_FLAT",
+        "metric_type": "L2",
+        "params": {"nlist": 128},
+    }
+
+    collection.create_index(PICTURE, index)
+    print("Finish Creating index IVF_FLAT")
+    collection.load()
+    print("Finish Loading index IVF_FLAT")
+
+
+def prepare_data(collection):
+    insert_data(collection)
+    prepare_index(collection)
+    return collection
+
+
+def query_iterate_collection_no_offset(collection):
+    expr = f"10 <= {AGE} <= 14"
+    query_iterator = collection.query_iterator(expr=expr, output_fields=[USER_ID, AGE],
+                                               offset=0, limit=5, consistency_level=CONSISTENCY_LEVEL,
+                                               iteration_extension_reduce_rate=10)
+    page_idx = 0
+    while True:
+        res = query_iterator.next()
+        if len(res) == 0:
+            print("query iteration finished, close")
+            query_iterator.close()
+            break
+        for i in range(len(res)):
+            print(res[i])
+        page_idx += 1
+        print(f"page{page_idx}-------------------------")
+
+def query_iterate_collection_with_offset(collection):
+    expr = f"10 <= {AGE} <= 14"
+    query_iterator = collection.query_iterator(expr=expr, output_fields=[USER_ID, AGE],
+                                               offset=10, limit=5, consistency_level=CONSISTENCY_LEVEL,
+                                               iteration_extension_reduce_rate=10)
+    page_idx = 0
+    while True:
+        res = query_iterator.next()
+        if len(res) == 0:
+            print("query iteration finished, close")
+            query_iterator.close()
+            break
+        for i in range(len(res)):
+            print(res[i])
+        page_idx += 1
+        print(f"page{page_idx}-------------------------")
+
+def search_iterator_collection(collection):
+    SEARCH_NQ = 1
+    DIM = 8
+    rng = np.random.default_rng(seed=19530)
+    vectors_to_search = rng.random((SEARCH_NQ, DIM))
+    search_params = {
+        "metric_type": "L2",
+        "params": {"nprobe": 10, "radius": 1.0},
+    }
+    search_iterator = collection.search_iterator(vectors_to_search, PICTURE, search_params, limit=5,
+                                                 output_fields=[USER_ID])
+    page_idx = 0
+    while True:
+        res = search_iterator.next()
+        if len(res[0]) == 0:
+            print("query iteration finished, close")
+            search_iterator.close()
+            break
+        for i in range(len(res[0])):
+            print(res[0][i])
+        page_idx += 1
+        print(f"page{page_idx}-------------------------")
+
+
+def main():
+    connections.connect("default", host=HOST, port=PORT)
+    collection = re_create_collection()
+    collection = prepare_data(collection)
+    query_iterate_collection_no_offset(collection)
+    query_iterate_collection_with_offset(collection)
+    search_iterator_collection(collection)
+
+
+if __name__ == '__main__':
+    main()

pymilvus/client/constants.py

@@ -8,3 +8,4 @@
 BOUNDED_TS = 2
 DEFAULT_CONSISTENCY_LEVEL = ConsistencyLevel.Bounded
 DEFAULT_RESOURCE_GROUP = "__default_resource_group"
+ITERATION_EXTENSION_REDUCE_RATE = "iteration_extension_reduce_rate"

pymilvus/client/prepare.py

@@ -9,7 +9,7 @@
 from .check import check_pass_param, is_legal_collection_properties
 from .types import DataType, PlaceholderType, get_consistency_level
 from .utils import traverse_info
-from .constants import DEFAULT_CONSISTENCY_LEVEL
+from .constants import DEFAULT_CONSISTENCY_LEVEL, ITERATION_EXTENSION_REDUCE_RATE
 from ..exceptions import ParamError, DataNotMatchException, ExceptionsMessage
 from ..orm.schema import CollectionSchema
 
@@ -613,6 +613,10 @@ def query_request(cls, collection_name, expr, output_fields, partition_names, **
 
         ignore_growing = kwargs.get("ignore_growing", False)
         req.query_params.append(common_types.KeyValuePair(key="ignore_growing", value=str(ignore_growing)))
+
+        use_iteration_extension_reduce_rate = kwargs.get(ITERATION_EXTENSION_REDUCE_RATE, 0)
+        req.query_params.append(common_types.KeyValuePair(key=ITERATION_EXTENSION_REDUCE_RATE,
+                                                          value=str(use_iteration_extension_reduce_rate)))
         return req
 
     @classmethod

pymilvus/orm/collection.py

@@ -43,11 +43,11 @@
 from ..settings import Config
 from ..client.types import CompactionState, CompactionPlans, Replica, get_consistency_level, cmp_consistency_level
 from ..client.constants import DEFAULT_CONSISTENCY_LEVEL
-
+from .iterator import QueryIterator, SearchIterator
 
 
 class Collection:
-    def __init__(self, name: str, schema: CollectionSchema=None, using: str="default",  **kwargs):
+    def __init__(self, name: str, schema: CollectionSchema = None, using: str = "default", **kwargs):
         """ Constructs a collection by name, schema and other parameters.
 
         Args:
@@ -394,7 +394,8 @@ def release(self, timeout=None, **kwargs):
         conn = self._get_connection()
         conn.release_collection(self._name, timeout=timeout, **kwargs)
 
-    def insert(self, data: Union[List, pandas.DataFrame], partition_name: str=None, timeout=None, **kwargs) -> MutationResult:
+    def insert(self, data: Union[List, pandas.DataFrame], partition_name: str = None, timeout=None,
+               **kwargs) -> MutationResult:
         """ Insert data into the collection.
 
         Args:
@@ -483,7 +484,8 @@ def delete(self, expr, partition_name=None, timeout=None, **kwargs):
             return MutationFuture(res)
         return MutationResult(res)
 
-    def upsert(self, data: Union[List, pandas.DataFrame], partition_name: str=None, timeout=None, **kwargs) -> MutationResult:
+    def upsert(self, data: Union[List, pandas.DataFrame], partition_name: str=None, timeout=None,
+               **kwargs) -> MutationResult:
         """ Upsert data into the collection.
 
         Args:
@@ -523,7 +525,7 @@ def upsert(self, data: Union[List, pandas.DataFrame], partition_name: str=None,
 
         conn = self._get_connection()
         res = conn.upsert(self._name, entities, partition_name,
-                                timeout=timeout, schema=self._schema_dict, **kwargs)
+                          timeout=timeout, schema=self._schema_dict, **kwargs)
 
         if kwargs.get("_async", False):
             return MutationFuture(res)
@@ -670,6 +672,15 @@ def search(self, data, anns_field, param, limit, expr=None, partition_names=None
             return SearchFuture(res)
         return SearchResult(res)
 
+    def search_iterator(self, data, anns_field, param, limit, expr=None, partition_names=None,
+                        output_fields=None, timeout=None, round_decimal=-1, **kwargs):
+        if expr is not None and not isinstance(expr, str):
+            raise DataTypeNotMatchException(message=ExceptionsMessage.ExprType % type(expr))
+        conn = self._get_connection()
+        iterator = SearchIterator(conn, self._name, data, anns_field, param, limit, expr, partition_names,
+                                  output_fields, timeout, round_decimal, schema=self._schema_dict, **kwargs)
+        return iterator
+
     def query(self, expr, output_fields=None, partition_names=None, timeout=None, **kwargs):
         """ Query with expressions
 
@@ -751,6 +762,14 @@ def query(self, expr, output_fields=None, partition_names=None, timeout=None, **
                          timeout=timeout, schema=self._schema_dict, **kwargs)
         return res
 
+    def query_iterator(self, expr, output_fields=None, partition_names=None, timeout=None, **kwargs):
+        if not isinstance(expr, str):
+            raise DataTypeNotMatchException(message=ExceptionsMessage.ExprType % type(expr))
+        conn = self._get_connection()
+        iterator = QueryIterator(conn, self._name, expr, output_fields, partition_names,
+                                 timeout=timeout, schema=self._schema_dict, **kwargs)
+        return iterator
+
     @property
     def partitions(self, **kwargs) -> List[Partition]:
         """ List[Partition]: List of Partition object.

pymilvus/orm/constants.py

@@ -12,7 +12,6 @@
 
 COMMON_TYPE_PARAMS = ("dim", "max_length")
 
-
 CALC_DIST_IDS = "ids"
 CALC_DIST_FLOAT_VEC = "float_vectors"
 CALC_DIST_BIN_VEC = "bin_vectors"
@@ -23,3 +22,14 @@
 CALC_DIST_TANIMOTO = "TANIMOTO"
 CALC_DIST_SQRT = "sqrt"
 CALC_DIST_DIM = "dim"
+
+OFFSET = "offset"
+LIMIT = "limit"
+ID = "id"
+METRIC_TYPE = "metric_type"
+PARAMS = "params"
+DISTANCE = "distance"
+RADIUS = "radius"
+RANGE_FILTER = "range_filter"
+FIELDS = "fields"
+ITERATION_EXTENSION_REDUCE_RATE = "iteration_extension_reduce_rate"