Feature Introduced:
1. Ensure ImportV2 waits for the index to be built
Enhancements Introduced:
1. Utilization of local time for timeout ts instead of allocating ts
from rootcoord.
3. Enhanced input file length check for binlog import.
4. Removal of duplicated manager in datanode.
5. Renaming of executor to scheduler in datanode.
6. Utilization of a thread pool in the scheduler in datanode.
issue: https://github.com/milvus-io/milvus/issues/28521
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
See also #31628
The `Revoke` operation shall delete all keys related to the lease
attaching to. This `deleteSession` operation may also remove the session
key in next epoch by mistake and cause chaos session status
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #29261
This PR Add restful api for devops to execute rolling upgrade, including
suspend/resume balance and manual transfer segments/channels.
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #31222
grpcclient's `call` func return a unrecoverable error, then the caller's
retry policy also breaks due to this unrecoverable error.
This PR introduce `retry.Handle`, the new func use `func() (bool,
error)` as input parameters, which return `shouldRetry` directly, to
avoid grpcclient return a unrecoverable error
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
add sparse float vector support to different milvus components,
including proxy, data node to receive and write sparse float vectors to
binlog, query node to handle search requests, index node to build index
for sparse float column, etc.
https://github.com/milvus-io/milvus/issues/29419
---------
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
1. File type validation is omitted during binlog import.
2. System fields are appended to the schema during binlog import.
issue: https://github.com/milvus-io/milvus/issues/28521
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #20553
This PR add retry on all interface which belong to indexcoord in milvus
2.2 and. move to data coord in milvus 2.3, to prevent meet
`unimplemented` error during rolling upgrade from milvus 2.2 to 2.3.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
This PR mainly improve two items:
1. Target observer should refresh loading status during init time. An
uninitialized loading status blocks search/query. Currently, the target
observer refreshes every 10 seconds, i.e. we'd need to wait for 10s for
no reason. That's also the reason why we constantly see false log
"collection unloaded" upon mixcoord restarts.
2. Delete session when service is stopped. So that the new service
doesn't need to wait for the previous session to expire (~10s).
Item 1 is the major improvement of this PR, which should speed up init
time by 10s.
Item 2 is not a big concern in most cases as coordinators usually shut
down after stop(). In those cases, coordinator restart triggers serverID
change which further triggers an existing logic that deletes expired
session. This PR only fixes rare cases where serverID doesn't change.
integration test:
`go test -tags dynamic -v -coverprofile=profile.out -covermode=atomic
tests/integration/coordrecovery/coord_recovery_test.go -timeout=20m`
Performance after the change:
Average init time of coordinators: 10s
Hardware: M2 Pro
Test setup: 1000 collections with 1000 rows (dim=128) per collection.
issue: #29409
Signed-off-by: yiwangdr <yiwangdr@gmail.com>
This PR introduces novel importv2 roles for datanode:
1. Executor: To execute tasks, a import task will be divided into the
following steps: read data -> hash data -> sync data;
2. Manager: To manage all the tasks;
issue: https://github.com/milvus-io/milvus/issues/28521
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #29772
1. `DropPartition` only invalidates the cache related to the partition.
2. `CreateAlias` does not invalidate the cache.
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
This PR defines the new import reader interfaces and implement a binlog
reader for import.
issue: https://github.com/milvus-io/milvus/issues/28521
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: https://github.com/milvus-io/milvus/issues/27704
Add inverted index for some data types in Milvus. This index type can
save a lot of memory compared to loading all data into RAM and speed up
the term query and range query.
Supported: `INT8`, `INT16`, `INT32`, `INT64`, `FLOAT`, `DOUBLE`, `BOOL`
and `VARCHAR`.
Not supported: `ARRAY` and `JSON`.
Note:
- The inverted index for `VARCHAR` is not designed to serve full-text
search now. We will treat every row as a whole keyword instead of
tokenizing it into multiple terms.
- The inverted index don't support retrieval well, so if you create
inverted index for field, those operations which depend on the raw data
will fallback to use chunk storage, which will bring some performance
loss. For example, comparisons between two columns and retrieval of
output fields.
The inverted index is very easy to be used.
Taking below collection as an example:
```python
fields = [
FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100),
FieldSchema(name="int8", dtype=DataType.INT8),
FieldSchema(name="int16", dtype=DataType.INT16),
FieldSchema(name="int32", dtype=DataType.INT32),
FieldSchema(name="int64", dtype=DataType.INT64),
FieldSchema(name="float", dtype=DataType.FLOAT),
FieldSchema(name="double", dtype=DataType.DOUBLE),
FieldSchema(name="bool", dtype=DataType.BOOL),
FieldSchema(name="varchar", dtype=DataType.VARCHAR, max_length=1000),
FieldSchema(name="random", dtype=DataType.DOUBLE),
FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim),
]
schema = CollectionSchema(fields)
collection = Collection("demo", schema)
```
Then we can simply create inverted index for field via:
```python
index_type = "INVERTED"
collection.create_index("int8", {"index_type": index_type})
collection.create_index("int16", {"index_type": index_type})
collection.create_index("int32", {"index_type": index_type})
collection.create_index("int64", {"index_type": index_type})
collection.create_index("float", {"index_type": index_type})
collection.create_index("double", {"index_type": index_type})
collection.create_index("bool", {"index_type": index_type})
collection.create_index("varchar", {"index_type": index_type})
```
Then, term query and range query on the field can be speed up
automatically by the inverted index:
```python
result = collection.query(expr='int64 in [1, 2, 3]', output_fields=["pk"])
result = collection.query(expr='int64 < 5', output_fields=["pk"])
result = collection.query(expr='int64 > 2997', output_fields=["pk"])
result = collection.query(expr='1 < int64 < 5', output_fields=["pk"])
```
---------
Signed-off-by: longjiquan <jiquan.long@zilliz.com>
issue: #28898
This PR move the `ProxyClientManager` to util package, in case of
reusing it's implementation in querycoord
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
Cai Yudong
SimFG
yihao.dai
congqixia
cqy123456
wei liu
Chun Han
groot
jaime
Buqian Zheng
cai.zhang
aoiasd
chyezh
yiwangdr
smellthemoon
xige-16
PowderLi
Patrick Weizhi Xu
chyezh
Bingyi Sun
wayblink
Xu Tong
Jiquan Long
XuanYang-cn