issue: #43427
pr: #37417
This pr's main goal is merge #37417 to milvus 2.5 without conflicts.
# Main Goals
1. Create and describe collections with geospatial type
2. Insert geospatial data into the insert binlog
3. Load segments containing geospatial data into memory
4. Enable query and search can display geospatial data
5. Support using GIS funtions like ST_EQUALS in query
# 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.Now only support brutal search
6. **Client Modification**: Enable the client to handle user input for
geospatial data and facilitate end-to-end testing.Check the modification
in pymilvus.
---------
Signed-off-by: Yinwei Li <yinwei.li@zilliz.com>
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Co-authored-by: cai.zhang <cai.zhang@zilliz.com>
Cherry-pick from master
pr: #42920
Related to #42918
Previously the `CollectionTtlTimestamp` could be overflowed when the
guarantee_ts==1, which means using `Eventually` consistency level.
This patch use task timestamp, allocated by scheduler, to generate ttl
timestamp ignore the potential very small timestamp being used.
Also add overflow check for ttl timestamp calculated.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Cherry-pick from master
pr: #41126
Related to #41034
Recent pr #40842 introduced logic to avoid requery pk column, which
updates the original request which makes the request not equavilant to
the original one.
When retry happens due to incomplete request error, this change makes
the final result set lacks the pk column even when user specifies it
explicitly.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Cherry-pick from master
pr: #41036
`incomplete query result, missing id %!s(int64=348), len(searchIDs) =
10, len(queryIDs) = 9` error message format with error
when missing id is int64
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
sparse vectors may have arbitrary number of non zeros and it is hard to
optimize without knowing the actual distribution of nnz. this PR adds a
metric for analyzing that.
issue: https://github.com/milvus-io/milvus/issues/35853
comparing with https://github.com/milvus-io/milvus/pull/38328, this
includes also metric for FTS in query node delegator
also fixed a bug of sparse when searching by pk
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.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.
---------
Signed-off-by: tasty-gumi <1021989072@qq.com>
issue: #36672
The expression supports filling elements through templates, which helps
to reduce the overhead of parsing the elements.
---------
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
issue: #37158
Return the GuaranteeTS so that the subsequent requests following the
correct TS.
BeginTS is the current timestamp when the task is created.
The GuaranteeTS is the one parsed based on both consistency level and
beginTS, in PreExecute of the task on Proxy.
The delegator will wait until GuaranteeTS is met.
In PostExecute of the task on Proxy, the TS of the first iterator
request will be returned to the SDK and add it to the subsequent
requests.
Hence, if the default consistency level is Eventually or Bounded, the
order of TS will be
> Guarantee TS < BeginTS
If it returns the BeginTS, the second request will need to catch up and
result in extra 200ms max of latency, which results in something like
| Call | Latency |
| --- | --- |
| first call on `Next()` | 30ms |
| second call on `Next()` | 210ms |
| third call on `Next()` | 10ms |
| fourth call on `Next()` | 11 ms |
| ... | ... |
where we expect
| Call | Latency |
| --- | --- |
| first call on `Next()` | 30ms |
| second call on `Next()` | 10ms |
| third call on `Next()` | 10ms |
| fourth call on `Next()` | 11 ms |
| ... | ... |
Signed-off-by: Patrick Weizhi Xu <weizhi.xu@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.
---------
Signed-off-by: chasingegg <chao.gao@zilliz.com>
See #36122
This PR is designed to enhance log performance through two improvements:
1. Optimize JSON encoding by switching JSON serializer to
`json-iterator`.
2. Adding support of lazy initialization `WithLazy`.
---------
Signed-off-by: Ted Xu <ted.xu@zilliz.com>
