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[Bug]: Create collection failed reporting "dmlChanName by-dev-rootcoord-dml_2 and deltaChanName by-dev-rootcoord-delta_1 mis-match"

Same issue in the following nightly: https://jenkins.milvus.io:18080/blue/organizations/jenkins/Milvus%20Nightly%20CI/detail/master/11/pipeline (1) milvus logs: [artifacts-milvus-distributed-kafka-nightly-11-pymilvus-e2e-logs.tar.gz](https://jenkins.milvus.io:18080/job/Milvus%20Nightly%20CI/job/master/11/artifact/artifacts-milvus-distributed-kafka-nightly-11-pymilvus-e2e-logs.tar.gz) (2) collection name: test_GQu207FX (just one example for "test_release_collection_not_existed") (3) FAILED time: [2022-08-02T15:05:17.249Z] [gw0] [ 9%] FAILED testcases/test_collection.py::TestLoadCollection::test_load_collection_after_index [2022-08-02T15:05:17.249Z]...

Test connection with user and password

/lgtm /approve

[Bug]: Error message of SchemaNotReadyException is not very clear to user

Fixed in 2.2.0.dev72 (pymilvus) pymilvus.exceptions.DataNotMatchException:

[Bug]: Search failed when outputting binary vectors

@XuanYang-cn any updates？

[Bug]: [milvus_client][Defer] Row count shows 0 for interface "get_collection_stats" and "get_partition_stats" when the collection/partition is not empty

/assign @czs007

[Bug]: [milvus_client][Defer] Row count shows 0 for interface "get_collection_stats" and "get_partition_stats" when the collection/partition is not empty

This still exists in the latest version: pymilvus: 2.4.0rc30 milvus: master-20240205-a68b3213 ``` >>> milvus_client.create_collection(collection_name, dim, consistency_level="Strong", metric_type="L2") >>> res = milvus_client.get_collection_stats(collection_name) >>> print(res) {'row_count': 0} ```

[Bug]: milvus-standalone can not started on arm architecture

/assign @Presburger /unassign @yanliang567

[Bug]: Concurrent insert then trigger datanode memory protection, but do not trigger sync

@ThreadDao is it verified and fixed?

[Bug]: [milvus_client] Get interface returns empty when "ids" is a list of string for string primary key

/assign @czs007

[Bug]: [major compaction] It takes a relatively long time for major compaction (vector clustering) to be completed

latest statistics standalone: 16c64g, dataset: 10M, dim=768 scalar clustering: (open source image) major compaction: about 15min waiting index time for new segments: about 48min.