PyMilvus 2.2.3 Release Notes

fix some bugs

PyMilvus 2.3.0b1 Release Notes

Support GPU

PyMilvus v2.2.2 Release

Fix some bugs

PyMilvus 2.2.1 Releases Notes

Fix some bugs, improve some search performance

PyMilvus 2.2.0 Release Notes

PyMilvus API changes between PyMilvus2.2 and PyMilvus2.1

1. New APIs

Support RBAC (Role Based Access Control)

Renamed APIs in utility

Methods in 2.1.x	Methods in 2.2.x
utility.create_credential	utility.create_user
[No change]utility.reset_password	utility.reset_password
utility.update_credential	utility.update_password
utility.delete_credential	utility.delete_user
utility.list_cred_users	utility.list_usernames
-	utility.list_roles
-	utility.list_user
-	utility.list_users

New class Role

• property:
  • Role.name
• methods:
  • Role.create
  • Role.drop
  • Role.add_user
  • Role.remove_user
  • Role.get_users
  • Role.is_exist
  • Role.grant
  • Role.revoke
  • Role.list_grant
  • Role.list_grants

Support bulk insert data

1. utility.do_bulk_insert
2. utility.get_bulk_insert_state
3. utility.list_bulk_insert_tasks

Add flush

1. Collection.flush()

2. More functional and compatible APIs

Support search/query pagination

Support collection TTL (Time to Live)

Add properties support when init Collection

Collection(name="a", data=data, schema=schema, properties={"collection.ttl.seconds": 1800})

3. Enhanced APIs

num_entities doesn't invoke flush inside

create_index:

• doesn't invoke flush inside.
• support FLAT, DiskANN, and, AutoIndex index type
• support naming an index
• support to create index for string field

Collection.drop:

• doesn't invoke Collection.release() and index.drop() inside.

4. Removed APIs

1. calc_distance()

PyMilvus v2.1.3 Release

Fix some bugs

PyMilvus v2.1.2 Release

Fix some bugs

PyMilvus 2.1.1 Release Notes

Fix some bugs

PyMilvus 2.1.0 Release Notes

New Features

Load multiple memory replicas

collection.load(replica_number=2)

collection.get_replicas()

Support VARCHAR data type

1. You can define VARCHAR field in schema, also VARCHAR field can be used as primary field:

FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100)

2. Just like other data type, you can insert string into VARCHAR field:

entities = [
    [str(i) for i in range(num_entities)],
]
insert_result = collection.insert(entities)

3. You can also choose to build index for VARCHAR field, for now, the only supported index for string is Trie:

collection.create_index(field_name="pk", index_name="index_on_varchar")

4. Just like other data type, scalar filtering expression on VARCHAR field is also supported, besides basic filters, prefix match is also supported. Please visist milvus.io for more detailed information.

5. VARCHAR field as output fields is also supported when you are about to do a search or query:

res = collection.query(expr='pk > "str"', output_fields=["pk"])

Support to specify index name for index-related operations

Now, you can specify index name when you create index for field.

collection.create_index(field_name="field", index_name="index_name", index_params={})
collection.drop_index(index_name="index_name")

For backward compatibility, if you don't specify the index name, _default_idx will be used.

Support Basic Authentication

We add some APIs to support basic authentication:

• create_credential
• update_credential
• delete_credential
• list_cred_users

If there are any users in Milvus server, then the user and password are required to setup a connection:

connections.connect(host="host", port="port", user="user", password="password")

For more detailed information, please refer to mep27.

Support tls in RPC

Besides basic authentication, we also support to tls in RPC, you can setup a secure connection.

For one-way tls:

connections.connect(host=_HOST, port=_PORT, secure=True, server_pem_path="server.pem", server_name="localhost")

For two-way tls:

connections.connect(host=_HOST,
    port=_PORT,
    secure=True,
    client_pem_path="client.pem",
    client_key_path="client.key",
    ca_pem_path="ca.pem",
    server_name="localhost")

Enhancement

1. Extend version range of grpcio and ujson
2. Add milvus-proto as submodule
3. Support full uri in connection

connections.connect(alias="test", uri="https://example.com:19530")

PyMilvus v2.0.2 Release

Release date: 2022-04-02

Features:

• Add support for numpy.ndarray for vector field (#937)

Fixed bugs:

• Fix pymilvus unable to download on python3.8 (#931)
• Fix loading progress output (#936)

Enhancements:

• Remove load balance from doc (#929)
• Fix readme bug (#934)
• Fix create_partition doc string (#935)