issue: https://github.com/milvus-io/milvus/issues/45006
ref: https://github.com/milvus-io/milvus/issues/42148
Previsouly, the parquet import is implemented based on that the STRUCT
in the parquet files is hanlded in the way that each field in struct is
stored in a single column.
However, in the user's perspective, the array of STRUCT contains data is
something like STRUCT_A:
for one row, [struct{field1_1, field2_1, field3_1}, struct{field1_2,
field2_2, field3_2}, ...], rather than {[field1_1, field1_2, ...],
[field2_1, field2_2, ...], [field3_1, field3_2, field3_3, ...]}.
This PR fixes this.
---------
Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
issue: #43427
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
6. Support R-Tree index for geometry type
# 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
7. **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: ZhuXi <150327960+Yinwei-Yu@users.noreply.github.com>
- Introduce dynamic buffer sizing to avoid generating small binlogs
during import
- Refactor import slot calculation based on CPU and memory constraints
- Implement dynamic pool sizing for sync manager and import tasks
according to CPU core count
issue: https://github.com/milvus-io/milvus/issues/43131
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
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
---------
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>
issue: #40532
- start timeticksync at rootcoord if the streaming service is not
available
- stop timeticksync if the streaming service is available
- open a read-only wal if some nodes in cluster is not upgrading to 2.6
- allow to open read-write wal after all nodes in cluster is upgrading
to 2.6
---------
Signed-off-by: chyezh <chyezh@outlook.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
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Merge RootCoord, DataCoord And QueryCoord into MixCoord
Make Session into one
issue : https://github.com/milvus-io/milvus/issues/37764
---------
Signed-off-by: Xianhui.Lin <xianhui.lin@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.
---------
Signed-off-by: tasty-gumi <1021989072@qq.com>
#36252
remove no need type check. if users use null type writer to write
parquet, hope it successfully.
Signed-off-by: lixinguo <xinguo.li@zilliz.com>
Co-authored-by: lixinguo <xinguo.li@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
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #33744
This PR includes the following changes:
1. Added a new task type to the task scheduler in datacoord: stats task,
which sorts segments by primary key.
2. Implemented segment sorting in indexnode.
3. Added a new field `FieldStatsLog` to SegmentInfo to store token index
information.
---------
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
See also #34483
Some lint issues are introduced due to lack of static check run. This PR
fixes these problems.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
1. Fill log ID of stats log from import
2. Add a check to validate the log ID before writing to meta
issue: https://github.com/milvus-io/milvus/issues/33476
---------
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
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Issue: #22837
including following changes:
1. Add API CreateInsertData() and BuildArrayData() in
internal/util/testutil
2. Remove duplicated test APIs from importutilv2 unittest and bulk
insert integration test
Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
1. Make the dynamic field file optional during numpy import
2. Add integration importing test with dynamic
3. Disallow file of pk when autoID=true during numpy import
issue: https://github.com/milvus-io/milvus/issues/32542
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
