Merge branch 'master' of https://github.com/Big-Cir97/milvus

README.md

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+# milvus
+
+# Schema Define, Collection
+
+
+>> from config import MILVUS_HOST, MILVUS_PORT, VECTOR_DIMENSION, METRIC_TYPE
+
+# # Field Schema define
+>> from pymilvus import CollectionSchema, FieldSchema, DataType
+
+>> book_id = FieldSchema(				
+  name="book_id", 
+  dtype=DataType.INT64, 
+  is_primary=True, 
+  auto_id=True
+)
+
+>> book_intro = FieldSchema(
+  name="book_intro", 
+  dtype=DataType.FLOAT_VECTOR, 
+  dim=2
+)
+
+# # Collection Schema define(필드 스키마 주입)
+schema = CollectionSchema(
+  fields=[book_id, book_name, word_count, book_intro], 
+  description="Test book search"
+)
+
+collection_name = "book"
+
+# # Create Collection 
+>> from pymilvus import Collection
+
+>> collection = Collection(
+    name=collection_name, 
+    schema=schema, 
+    using='default', 
+    shards_num=2,
+    )
+
+#  # Check collection exists
+>> from pymilvus import utility
+
+>> utility.list_collections()			# select all collection
+>> utility.has_collection("book")
+
+>> utility.drop_collection(“book”)	# drop collection
+
+# Drop collection
+>> utility.drop_collection("book")
+
+
+# Partition
+
+# Create Partition
+>> from pymilvus import Collection
+
+>> collection.create_partition(“novel”)		// default partition존재, 그뒤에 “name”: “novel” 파티션 추가
+
+# Drop Partition
+>> collection.drop_partition("novel") 	
+
+
+# Check collection details
+collection.schema                # Return the schema.CollectionSchema of the collection.
+
+collection.description           # Return the description of the collection.
+
+collection.name                  # Return the name of the collection.
+
+collection.is_empty              # Return the boolean value that indicates if the collection is empty.
+
+collection.num_entities          # Return the number of entities in the collection.
+
+collection.primary_field         # Return the schema.FieldSchema of the primary key field.
+
+collection.partitions            # Return the list[Partition] object.
+
+collection.indexes               # Return the list[Index] object.
+
+# use
+- spring : mongodb에서 img 다운로드
+- milvus : 다운받은 img, 거리벡터 변환 후 저장 -> 업로드 된 사진과 유사성 검사(distance로 비교)