diff --git a/examples/alter.py b/examples/alter.py new file mode 100644 index 000000000..012f1553d --- /dev/null +++ b/examples/alter.py @@ -0,0 +1,44 @@ +import numpy as np +from pymilvus import ( + MilvusClient, + DataType +) + +dim = 8 +collection_name = "hello_milvus" +milvus_client = MilvusClient("http://localhost:19530") + +has_collection = milvus_client.has_collection(collection_name, timeout=5) +if has_collection: + milvus_client.drop_collection(collection_name) + +schema = milvus_client.create_schema(enable_dynamic_field=True) +schema.add_field("id", DataType.INT64, is_primary=True) +schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=dim) +schema.add_field("title", DataType.VARCHAR, max_length=64) +milvus_client.create_collection(collection_name, schema=schema) +rng = np.random.default_rng(seed=19530) +rows = [ + {"id": 1, "embeddings": rng.random((1, dim))[0], "a": 100, "title": "t1"}, + {"id": 2, "embeddings": rng.random((1, dim))[0], "b": 200, "title": "t2"}, + {"id": 3, "embeddings": rng.random((1, dim))[0], "c": 300, "title": "t3"}, + {"id": 4, "embeddings": rng.random((1, dim))[0], "d": 400, "title": "t4"}, + {"id": 5, "embeddings": rng.random((1, dim))[0], "e": 500, "title": "t5"}, + {"id": 6, "embeddings": rng.random((1, dim))[0], "f": 600, "title": "t6"}, +] + +insert_result = milvus_client.insert(collection_name, rows) +index_params = milvus_client.prepare_index_params() +index_params.add_index(field_name = "embeddings", metric_type="L2") +milvus_client.create_index(collection_name, index_params) +milvus_client.alter_index_properties(collection_name,index_name="embeddings", properties={"mmap.enabled":True}) +milvus_client.drop_index_properties(collection_name,index_name="embeddings", property_keys=["mmap.enabled"]) +milvus_client.alter_collection_field(collection_name,field_name="title",field_params={"mmap.enabled":True,"max_length": 2500}) +milvus_client.alter_collection_properties(collection_name, properties={"mmap.enabled":True,"collection.ttl.seconds": 500}) +milvus_client.drop_collection_properties(collection_name,index_name="embeddings", property_keys=["mmap.enabled"]) +milvus_client.load_collection(collection_name) +print(milvus_client.describe_index(collection_name,index_name="embeddings")) +print(milvus_client.describe_collection(collection_name)) +milvus_client.release_collection(collection_name) +milvus_client.drop_index(collection_name, "embeddings") +milvus_client.drop_collection(collection_name)