issue: https://github.com/milvus-io/milvus/issues/42148
Optimized from
Go VectorArray → VectorArray Proto → Binary → C++ VectorArray Proto →
C++ VectorArray local impl → Memory
to
Go VectorArray → Arrow ListArray → Memory
---------
Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
issue: #42942
This pr includes the following changes:
1. Added checks for index checker in querycoord to generate drop index
tasks
2. Added drop index interface to querynode
3. To avoid search failure after dropping the index, the querynode
allows the use of lazy mode (warmup=disable) to load raw data even when
indexes contain raw data.
4. In segcore, loading the index no longer deletes raw data; instead, it
evicts it.
5. In expr, the index is pinned to prevent concurrent errors.
---------
Signed-off-by: sunby <sunbingyi1992@gmail.com>
issue: #43897
- The original broadcast ack operation need to recover message from
etcd, which can not support cdc.
- immutable message will set as the ack parameter to fix it.
Signed-off-by: chyezh <chyezh@outlook.com>
issue: #43858
- Remove full-collection index handling in getCollectionMetrics
- Avoid heavy metadata scans and RPC calls during metrics
- Reduce latency and CPU/memory usage on large datasets
- No functional change to metrics semantics
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
1. Enable Milvus to read cipher configs
2. Enable cipher plugin in binlog reader and writer
3. Add a testCipher for unittests
4. Support pooling for datanode
5. Add encryption in storagev2
See also: #40321
Signed-off-by: yangxuan <xuan.yang@zilliz.com>
---------
Signed-off-by: yangxuan <xuan.yang@zilliz.com>
Ref https://github.com/milvus-io/milvus/issues/42148
This PR supports create index for vector array (now, only for
`DataType.FLOAT_VECTOR`) and search on it.
The index type supported in this PR is `EMB_LIST_HNSW` and the metric
type is `MAX_SIM` only.
The way to use it:
```python
milvus_client = MilvusClient("xxx:19530")
schema = milvus_client.create_schema(enable_dynamic_field=True, auto_id=True)
...
struct_schema = milvus_client.create_struct_array_field_schema("struct_array_field")
...
struct_schema.add_field("struct_float_vec", DataType.ARRAY_OF_VECTOR, element_type=DataType.FLOAT_VECTOR, dim=128, max_capacity=1000)
...
schema.add_struct_array_field(struct_schema)
index_params = milvus_client.prepare_index_params()
index_params.add_index(field_name="struct_float_vec", index_type="EMB_LIST_HNSW", metric_type="MAX_SIM", index_params={"nlist": 128})
...
milvus_client.create_index(COLLECTION_NAME, schema=schema, index_params=index_params)
```
Note: This PR uses `Lims` to convey offsets of the vector array to
knowhere where vectors of multiple vector arrays are concatenated and we
need offsets to specify which vectors belong to which vector array.
---------
Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
issue: #43828
Implement robust rewatch mechanism to handle etcd connection failures
and node reconnection scenarios in DataCoord and QueryCoord, along with
heartbeat lag monitoring capabilities.
Changes include:
- Implement rewatchDataNodes/rewatchQueryNodes callbacks for etcd
reconnection scenarios
- Add idempotent rewatchNodes method to handle etcd session recovery
gracefully
- Add QueryCoordLastHeartbeatTimeStamp metric for monitoring node
heartbeat lag
- Clean up heartbeat metrics when nodes go down to prevent metric leaks
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
Replace multiple per-table flush RPC calls with single FlushAll RPC to
improve performance in multi-table scenarios.
issue: #43338
- Implement server-side FlushAll request processing in
DataCoord/MixCoord
- Add flushAllTask to handle unified flush operations across all tables
- Replace proxy-side per-table flush iteration with single RPC call
- Support both streaming and non-streaming service execution paths
- Add comprehensive unit tests for new FlushAll implementation
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
1. Use blocking memory allocation to wait until memory becomes available
2. Perform memory allocation at the file level instead of per task
3. Limit Parquet file reader batch size to prevent excessive memory
consumption
4. Limit import buffer size from 20% to 10% of total memory
issue: https://github.com/milvus-io/milvus/issues/43387,
https://github.com/milvus-io/milvus/issues/43131
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #42688
- The channel cp is dropped by garbage collector
- The channel is dropped and the cp is marked as math.Uint64
- If we drop it here, the update channel checkpoints will write the
dirty cp back.
Signed-off-by: chyezh <chyezh@outlook.com>
Ref https://github.com/milvus-io/milvus/issues/42148https://github.com/milvus-io/milvus/pull/42406 impls the segcore part of
storage for handling with VectorArray.
This PR:
1. impls the go part of storage for VectorArray
2. impls the collection creation with StructArrayField and VectorArray
3. insert and retrieve data from the collection.
---------
Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <u6748471@anu.edu.au>
We’ve frequently observed data loss caused by broken mutual exclusion in
compaction tasks. This PR introduces a post-check: before modifying
metadata upon compaction task completion, it verifies the state of the
input segments. If any input segment has been dropped, the compaction
task will be marked as failed.
issue: https://github.com/milvus-io/milvus/issues/43513
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #43072, #43289
- manage the schema version at recovery storage.
- update the schema when creating collection or alter schema.
- get schema at write buffer based on version.
- recover the schema when upgrading from 2.5.
---------
Signed-off-by: chyezh <chyezh@outlook.com>
Previous code uses diskSegmentMaxSize if and only if all of the
collection's vector fields are indexed with DiskANN index.
When introducing sparse vectors, since sparse vector cannot be indexed
with DiskANN index, collections with both dense and sparse vectors will
use maxSize instead.
This PR changes the requirments of using diskSegmentMaxSize to all dense
vectors are indexed with DiskANN indexs, ignoring sparse vector fields.
See also: #43193
Signed-off-by: yangxuan <xuan.yang@zilliz.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>
Ref #42053
This is the first PR for optimizing `LIKE` with ngram inverted index.
Now, only VARCHAR data type is supported and only InnerMatch LIKE
(%xxx%) query is supported.
How to use it:
```
milvus_client = MilvusClient("http://localhost:19530")
schema = milvus_client.create_schema()
...
schema.add_field("content_ngram", DataType.VARCHAR, max_length=10000)
...
index_params = milvus_client.prepare_index_params()
index_params.add_index(field_name="content_ngram", index_type="NGRAM", index_name="ngram_index", min_gram=2, max_gram=3)
milvus_client.create_collection(COLLECTION_NAME, ...)
```
min_gram and max_gram controls how we tokenize the documents. For
example, for min_gram=2 and max_gram=4, we will tokenize each document
with 2-gram, 3-gram and 4-gram.
---------
Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
In corner cases where there are many fields but only a small number of
rows to import, the default preallocated IDs may be insufficient. To
address this, consider the number of fields when preallocating IDs.
issue: https://github.com/milvus-io/milvus/issues/42518
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
This PR moves the deltalog file count check inside hasTooManyDeletions
check. Unifies the logic on checking if a segment has too many deletions
including: delta log count, deleted rows ratio and deltalog size.
This change removes several uncessary traverse through segment's binlogs
and deltalogs. And add more clear trigger logs
Signed-off-by: yangxuan <xuan.yang@zilliz.com>
