Python库 | milvus-test-0.1.0.tar.gz

# Milvus Python SDK -- pymilvus [](https://pypi.org/project/pymilvus/) [](https://github.com/milvus-io/pymilvus/blob/master/LICENSE) Using Milvus python sdk for Milvus Download --- Pymilvus only supports `python >= 3.4`, is fully tested under 3.4, 3.5, 3.6, 3.7. Pymilvus can be downloaded using `pip`. If no use, try `pip3` ```$ $ pip install pymilvus ``` If you are using `milvus-0.3.0`, last version that supports `milvus-0.3.0` is `0.1.13`, you can download by: ```$ $ pip install pymilvus==0.1.13 ``` <span style="color:red">**[Note]** It's NOT recommended to upgrade to higher version if you are still using `milvus-0.3.0`</span> If you want to upgrade `pymilvus` to newest version ```$ $ pip install --upgrade pymilvus ``` ## Import ```python from milvus import Milvus, IndexType, Status ``` ## Getting started Initial a `Milvus` instance and `connect` to the sever ```python >>> milvus = Milvus() >>> milvus.connect(host='SERVER-HOST', port='SERVER-PORT') Status(code=0, message="Success") ``` Once successfully connected, you can get the version of server ```python >>> milvus.server_version() (Status(code=0, message='Success'), 0.3.1) # this is example version, the real version may vary ``` --- Add a new `table` First set param ```python >>> param = {'table_name':'test01', 'dimension':256, 'index_type':IndexType.FLAT, 'store_raw_vector':False} ``` Then `create table` ```python >>> milvus.create_table(param) Status(message='Table test01 created!', code=0) ``` Describe the table we just created ```python >>> milvus.describe_table('test01') (Status(code=0, message='Success!'), TableSchema(table_name='test01',dimension=256, index_type=1, store_raw_vector=False)) ``` --- Add vectors into table `test01` First create 20 vectors of 256-dimension. - Note that `random` and `pprint` we used here is for creating fake vectors data and pretty print, you may not need them in your project ```python >>> import random >>> from pprint import pprint >>> dim = 256 # Dimension of the vector # Initialize 20 vectors of 256-dimension >>> fake_vectors = [[random.random() for _ in range(dim)] for _ in range(20)] ``` Then add vectors into table `test01` ```python >>> status, ids = milvus.add_vectors(table_name='test01', records=vectors) >>> print(status) Status(code=0, message='Success') >>> pprint(ids) # List of ids returned 23455321135511233 12245748929023489 ... ``` --- Search vectors ```python # create 5 vectors of 256-dimension >>> q_records = [[random.random() for _ in range(dim)] for _ in range(5)] ``` Then get results ```python >>> status, results = milvus.search_vectors(table_name='test01', query_records=q_records, top_k=10) >>> print(status) Status(code=0, message='Success') >>> pprint(results) # Searched top_k vectors ``` --- Delet the table we just created ```python >>> milvus.delete_table(table_name='test01') Status(code=0, message='Success') ``` Disconnect with the server ```python >>> milvus.disconnect() Status(code=0, message='Success') ``` --- ## Example python There are some small examples in `examples/`, you can find more guide there. Build docs ```$ $ sphinx-build -b html doc/en/ doc/en/build ``` If you encounter any problems or bugs, please open new issues