issue: ##36621
- For simple types in a struct, add "string" to the JSON tag for
automatic string conversion during JSON encoding.
- For complex types in a struct, replace "int64" with "string."
Signed-off-by: jaime <yun.zhang@zilliz.com>
See also #37404#37402
IP address in paramtable need validation and fail fast with reasonable
error message
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Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #34298
because all vector index config checker has been moved into
vector_index_checker, then the useless checkers can be removed.
Signed-off-by: xianliang.li <xianliang.li@zilliz.com>
issue:https://github.com/milvus-io/milvus/issues/27576
# Main Goals
1. Create and describe collections with geospatial fields, enabling both
client and server to recognize and process geo fields.
2. Insert geospatial data as payload values in the insert binlog, and
print the values for verification.
3. Load segments containing geospatial data into memory.
4. Ensure query outputs can display geospatial data.
5. Support filtering on GIS functions for geospatial columns.
# Solution
1. **Add Type**: Modify the Milvus core by adding a Geospatial type in
both the C++ and Go code layers, defining the Geospatial data structure
and the corresponding interfaces.
2. **Dependency Libraries**: Introduce necessary geospatial data
processing libraries. In the C++ source code, use Conan package
management to include the GDAL library. In the Go source code, add the
go-geom library to the go.mod file.
3. **Protocol Interface**: Revise the Milvus protocol to provide
mechanisms for Geospatial message serialization and deserialization.
4. **Data Pipeline**: Facilitate interaction between the client and
proxy using the WKT format for geospatial data. The proxy will convert
all data into WKB format for downstream processing, providing column
data interfaces, segment encapsulation, segment loading, payload
writing, and cache block management.
5. **Query Operators**: Implement simple display and support for filter
queries. Initially, focus on filtering based on spatial relationships
for a single column of geospatial literal values, providing parsing and
execution for query expressions.
6. **Client Modification**: Enable the client to handle user input for
geospatial data and facilitate end-to-end testing.Check the modification
in pymilvus.
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Signed-off-by: tasty-gumi <1021989072@qq.com>
Timeout is a bad design for long running tasks, especially using a
static timeout config. We should monitor execution progress and fail the
task if the progress has been stale for a long time.
This pr is a small patch to stop DC from marking compaction tasks
timeout, while still waiting for DN to finish. The design is
self-conflicted. After this pr, mix and L0 compaction are no longer
controlled by DC timeout, but clustering is still under timeout control.
The compaction queue capacity grows larger for priority calc, hence
timeout compactions appears more often, and when timeout, the queuing
tasks will be timeout too, no compaction will success after.
See also: #37108, #37015
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Signed-off-by: yangxuan <xuan.yang@zilliz.com>
issue: #36621
1. Add API to access task runtime metrics, including:
- build index task
- compaction task
- import task
- balance (including load/release of segments/channels and some leader
tasks on querycoord)
- sync task
2. Add a debug model to the webpage by using debug=true or debug=false
in the URL query parameters to enable or disable debug mode.
Signed-off-by: jaime <yun.zhang@zilliz.com>
issue: #35576
This pr is to cover those cases when queryHook optimize search params
and make the result size insufficient, add retry search mechanism and
add related metrics for alarming.
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Signed-off-by: chasingegg <chao.gao@zilliz.com>
Knowhere introduced FAISS-based HNSQ Flat/SQ/PQ/PRQ. This PR adds param
check in Milvus side.
This PR actually do nothing but let the check pass, since:
1. All indexes param check will be moved to Knowhere recently. @foxspy
2. The index name will be changed from `FAISS_HNSW_xx` to `HNSW_xx`
after QA test. @alexanderguzhva
Signed-off-by: Li Liu <li.liu@zilliz.com>
issue: https://github.com/milvus-io/milvus/issues/35853
* BM25 Function now takes no params, k1, b should be passed via index
params
* support BM25 full text search when metric type is not present in
search request
* add more strict validation with functions at collection creation time
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
This PR splits sealed segment to chunked data to avoid unnecessary
memory copy and save memory usage when loading segments so that loading
can be accelerated.
To support rollback to previous version, we add an option
`multipleChunkedEnable` which is false by default.
Signed-off-by: sunby <sunbingyi1992@gmail.com>
issue: #35922
add an enable_tokenizer param to varchar field: must be set to true so
that a varchar field can enable_match or used as input of BM25 function
---------
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
See #36550
This PR made 2 changes:
1. Introducing a prioritization mechanism, if
`dataCoord.compaction.taskPrioritizer` is set to `level`, compaction
tasks are always executed as the priority of L0>Mix>Clustering
2. `dataCoord.compaction.maxParallelTaskNum` now controls the
parallelism of executing tasks, not the task number of queue +
executing.
---------
Signed-off-by: Ted Xu <ted.xu@zilliz.com>
5 percent of free memory is too less for l0 compaction. This pr will
raise it to 50 percent.
See also: #36614
Signed-off-by: yangxuan <xuan.yang@zilliz.com>
1. Optimize import scheduling strategic:
a. Revise slot weights, calculating them based on the number of files
and segments for both import and pre-import tasks.
b. Ensure that the DN executes tasks in ascending order of task ID.
2. Add time cost metric and log.
issue: https://github.com/milvus-io/milvus/issues/36600,
https://github.com/milvus-io/milvus/issues/36518
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Native support for Google cloud storage using the Google Cloud Storage
libraries. Authentication is performed using GCS service account
credentials JSON.
Currently, Milvus supports Google Cloud Storage using S3-compatible APIs
via the AWS SDK. This approach has the following limitations:
1. Overhead: Translating requests between S3-compatible APIs and GCS can
introduce additional overhead.
2. Compatibility Limitations: Some features of the original S3 API may
not fully translate or work as expected with GCS.
To address these limitations, This enhancement is needed.
Related Issue: #36212
Zhen Ye
congqixia
jaime
Ted Xu
XuanYang-cn
aoiasd
sthuang
SimFG
foxspy
zhenshan.cao
Hao Tan
zhagnlu
Gao
yihao.dai
cqy123456
liliu-z
Buqian Zheng
Bingyi Sun
Rijin-N