Release notes

v1.1.1

Release date：2021-06-18

Compatibility

Milvus version	Python SDK version	Java SDK version	Go SDK version
1.1.1	1.1.0	1.1.1	1.1.0

New Features

• #1434 Supports S3 storage (implemented by Unisinsight).
• #5142 Supports caching indexes in GPU memory.

Bug Fixes

• #4897 Deleted entities reappear in new search results.
• #5164 No error returns when inserting or deleting entities on a partition that does not exist.
• #5191 Continuous insert and search operations cause Mishards to return the index out of range error.
• #5398 Server crashes sporadically after executing requests.
• #5537 Server fails to load Bloom filter after rebooting from a sudden shutdown.
• #5574 Indexes IVF_SQ8 and IVF_PQ cannot be built simultaneously on multiple GPUs.
• #5747 Server hangs if the product of the search parameters nq and TopK exceeds system capabilities.

Other Improvements

• #5115 Increases the upper limit of TopK from 16,384 to 1,048,576 for CPU searches.
• #5204 Improves IVF search performance for GPU-enabled Milvus when no entity has been deleted.
• #5544 Increases the upper limit of index_file_size to 128 GB.

v1.1.0

Release date：2021-05-07

Compatibility

Milvus version	Python SDK version	Java SDK version	Go SDK version
1.1.0	1.1.0	1.1.0	1.1.0

New Features

• #4564 Supports specifying partition in a get_entity_by_id() method call.
• #4806 Supports specifying partition in a delete_entity_by_id() method call.
• #4905 Adds the release_collection() method, which unloads a specific collection from cache.

Improvements

• #4756 Improves the performance of the get_entity_by_id() method call.
• #4856 Upgrades hnswlib to v0.5.0.
• #4958 Improves the performance of IVF index training.

Fixed issues

• #4778 Fails to access vector index in Mishards.
• #4797 The system returns false results after merging search requests with different topK parameters.
• #4838 The server does not respond immediately to an index building request on an empty collection.
• #4858 For GPU-enabled Milvus, the system crashes on a search request with a large topK (> 2048).
• #4862 A read-only node merges segments during startup.
• #4894 The capacity of a Bloom filter does not equal to the row count of the segment it belongs to.
• #4908 The GPU cache is not cleaned up after a collection is dropped.
• #4933 It takes a long while for the system to build index for a small segment.
• #4952 Fails to set timezone as "UTC + 5:30".
• #5008 The system crashes randomly during continuous, concurrent delete, insert, and search operations.
• #5010 For GPU-enabled Milvus, query fails on IVF_PQ if nbits ≠ 8.
• #5050 get_collection_stats() returns false index type for segments still in the process of index building.
• #5063 The system crashes when an empty segment is flushed.
• #5078 For GPU-enabled Milvus, the system crashes when creating an IVF index on vectors of 2048, 4096, or 8192 dimensions.

v1.0.0

Release date：2021-03-09

Compatibility

Milvus version	Python SDK version	Java SDK version	Go SDK version
1.0.0	1.0.x	1.0.x	1.0.x

New Features

• Supports writing log to stdout. #3977

Improvements

• Reduces the package size of grpc-milvus for the C++ SDK. #4754

Fixed issues

• Memory leaks during indexing or querying operations. #4749, #4757, #4765, #4766

• For more information about the features of Milvus 1.0, go to What's Inside Milvus 1.0?.
• For more information about its roadmap, see Milvus 1.0: The World's Most Popular Open-Source Vector Database Just Got Better.