issue: #41609
- add env `MILVUS_NODE_ID_FOR_TESTING` to set up a node id for milvus
process.
- add env `MILVUS_CONFIG_REFRESH_INTERVAL` to set up the refresh
interval of paramtable.
- Init paramtable when calling `paramtable.Get()`.
- add new multi process framework for integration test.
- change all integration test into multi process.
- merge some test case into one suite to speed up it.
- modify some test, which need to wait for issue #42966, #42685.
- remove the waittssync for delete collection to fix issue: #42989
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Signed-off-by: chyezh <chyezh@outlook.com>
1. Optimize the import process: skip subsequent steps and mark the task
as complete if the number of imported rows is 0.
2. Improve import integration tests:
a. Add a test to verify that autoIDs are not duplicated
b. Add a test for the corner case where all data is deleted
c. Shorten test execution time
3. Enhance import logging:
a. Print imported segment information upon completion
b. Include file name in failure logs
issue: https://github.com/milvus-io/milvus/issues/42488,
https://github.com/milvus-io/milvus/issues/42518
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
When autoID is enabled, the preimport task estimates row distribution by
evenly dividing the total row count (numRows) across all vchannels:
`estimatedCount = numRows / vchannelNum`.
However, the actual import task hashes real auto-generated IDs to
determine
the target vchannel. This mismatch can lead to inaccurate row
distribution estimation
in such corner cases:
- Importing 1 row into 2 vchannels:
• Preimport: 1 / 2 = 0 → both v0 and v1 are estimated to have 0 rows
• Import: real autoID (e.g., 457975852966809057) hashes to v1
→ actual result: v0 = 0, v1 = 1
To resolve such corner case, we now allocate at least one segment for
each vchannel
when autoID is enabled, ensuring all vchannels are prepared to receive
data even
if no rows are estimated for them.
issue: https://github.com/milvus-io/milvus/issues/41759
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
This PR introduce stats task for import:
1. Define new `Stats` and `IndexBuilding` states for importJob
2. Add new stats step to the import process: trigger the stats task and
wait for its completion
3. Abort stats task if import job failed
issue: https://github.com/milvus-io/milvus/issues/33744
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Before executing the import, partition IDs should be reordered according
to partition names. Otherwise, the data might be hashed to the wrong
partition during import. This PR corrects this error.
issue: https://github.com/milvus-io/milvus/issues/33237
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
