issue: #29892
This PR
1. Pass Materialized View (MV) search information obtained from the
expression parsing planning procedure to Knowhere. It only performs when
MV is enabled and the partition key is involved in the expression. The
search information includes:
1. Touched field_id and the count of related categories in the
expression. E.g., `color == red && color == blue` yields `field_id ->
2`.
2. Whether the expression only includes AND (&&) logical operator,
default `true`.
3. Whether the expression has NOT (!) operator, default `false`.
4. Store if turning on MV on the proxy to eliminate reading from
paramtable for every search request.
5. Renames to MV.
## Rebuttals
1. Did not write in `ExtractInfoPlanNodeVisitor` since the new scalar
framework was introduced and this part might be removed in the future.
2. Currently only interested in `==` and `in` expression, `string` data
type, anything else is a bonus.
3. Leave handling expressions like `F == A || F == A` for future works
of the optimizer.
## Detailed MV Info
Signed-off-by: Patrick Weizhi Xu <weizhi.xu@zilliz.com>
"-1" as `InvalidPartitionID` previously used as All partition place
holder in delete cases. It's confusing and hard to maintain when a const
var has more than one meaning.
This PR add `AllPartitionsID` to replace these usages in delete
scenarios.
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Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #31351
This PR fixed that search/hybrid_search doesn't expire shard leader
cache when send request to query node failed, which make every request
keep trying to connect a offline query node
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
/kind improvement
fix: #31272
This pr add more metrics, which are:
- Slow query count, which the duration considered as slow can be
configurable;
- Number of deleted entities;
- Number of entities imported;
- Number of entities per collection;
- Number of loaded entities per collection;
- Number of indexed entities;
- Number of indexed entities, per collection, per index and whether it's
a vetor index;
- Quota states (LongTimeTickDelay, MemoryExhuasted, DiskQuotaExhuasted)
per database;
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Signed-off-by: longjiquan <jiquan.long@zilliz.com>
During requery, segments may change (e.g., due to compaction), so we
need to return specific error codes when encountering incomplete requery
results. Clients can then retry to avoid this issue.
issue: https://github.com/milvus-io/milvus/issues/29656
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #30531
cause get client from `shardClientMgr`, doesn't means query node is
unavailable. because of the ref counter policy in `shardClientMgr`,
which will clean the client, if no collection use qn as shard leader.
This PR fix that set node unreachable when get shard client failed.
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. The Import APIs now provide detailed progress information for each
imported file, including details such as file name, file size, progress,
and more.
2. The APIs now return the collection name and the completion time.
3. Other modifications include changing jobID to jobId and other similar
adjustments.
issue: https://github.com/milvus-io/milvus/issues/28521
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Signed-off-by: bigsheeper <yihao.dai@zilliz.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>
Replacing the current import API v1 implementation with the v2
implementation.
issue: https://github.com/milvus-io/milvus/issues/28521
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Skip partition key naming & hash value pre process if collection schema
does not have partition key
The PR removes mislead warning when collection has no partition key
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
This PR introduces novel managerial roles for importv2:
1. ImportMeta: To manage all the import tasks;
2. ImportScheduler: To process tasks and modify their states;
3. ImportChecker: To ascertain the completion of all tasks and instigate
relevant operations.
issue: https://github.com/milvus-io/milvus/issues/28521
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
1. add coordinator graceful stop timeout to 5s
2. change the order of datacoord component while stop
3. change querynode grace stop timeout to 900s, and we should
potentially change this to 600s when graceful stop is smooth
issue: #30310
also see pr: #30306
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Signed-off-by: chyezh <chyezh@outlook.com>
Support get sdk type by user agent when we can't get sdk version by
connection in access log.
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Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
if check in Segcore, will not do the it when not insert data.
so, check "radius" and "range_filter" in proxy.
related with #30365
Signed-off-by: lixinguo <xinguo.li@zilliz.com>
Co-authored-by: lixinguo <xinguo.li@zilliz.com>
flush rate control at collection level to avoid generate too much
segment.
0.1 qps by default.
issue: #29477
Signed-off-by: chyezh <ye.zhen@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>
issue: #30102#30225
we should read MetricType from SearchResult,
because query node never
1. read metricType from LoadMeta
2. store to collection
3. set SearchRequest.MetricType
Signed-off-by: PowderLi <min.li@zilliz.com>
issue: #29772
The shardLeaders cache does not actively expire, update the cache when
search/query fails.
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
See also #30250
This PR add requery flag in query task. When reQuery flag is true, query
task shall skip partition name conversion and use pre-calculated
partitionIDs passed from search task.
TODO: hybrid search does not have partition id information. we shall
apply same logic for hybrid search later.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Add a counter monitoring metric for the ratelimited rpc requests with
labels: proxy nodeID, rpc request type, and state.
issue: https://github.com/milvus-io/milvus/issues/30052
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #30000
related to: [milvus-proto
#202](https://github.com/milvus-io/milvus-proto/pull/202)
1. replace collSchema.AutoID with primaryField.AutoID
2. show `enableDynamic` & `enableDynamicField` at the same time
3. avoid data race about the access to metacache
Signed-off-by: PowderLi <min.li@zilliz.com>
when apply dynamic config changes, we should format the value to proper
unit
This PR fix update rate limit config with wrong value.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
See also: #29113
Add a new utitliy function in `pkg/util/typetuil` to pre-allocate field
data slice capacity acoording to search limit. This shall avoid copying
the data during `AppendFieldData` when previous slice is out of space.
And shall also save CPU time during high paylog.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
When the TimeTravel functionality was previously removed, it
inadvertently affected the MVCC functionality within the system. This PR
aims to reintroduce the internal MVCC functionality as follows:
1. Add MvccTimestamp to the requests of Search/Query and the results of
Search internally.
2. When the delegator receives a Query/Search request and there is no
MVCC timestamp set in the request, set the delegator's current tsafe as
the MVCC timestamp of the request. If the request already has an MVCC
timestamp, do not modify it.
3. When the Proxy handles Search and triggers the second phase ReQuery,
divide the ReQuery into different shards and pass the MVCC timestamp to
the corresponding Query requests.
issue: #29656
Signed-off-by: zhenshan.cao <zhenshan.cao@zilliz.com>
Once a role is granted to a user, the user should automatically possess
the privilege information associated with that role.
issue: #29710
Signed-off-by: zhenshan.cao <zhenshan.cao@zilliz.com>
related: #25324
Search GroupBy function, used to aggregate result entities based on a
specific scalar column.
several points to mention:
1. Temporarliy, the whole groupby is implemented separated from
iterative expr framework **for the first period**
2. In the long term, the groupBy operation will be incorporated into the
iterative expr framework:https://github.com/milvus-io/milvus/pull/28166
3. This pr includes some unrelated mocked interface regarding alterIndex
due to some unworth-to-mention reasons. All these un-associated content
will be removed before the final pr is merged. This version of pr is
only for review
4. All other related details were commented in the files comparison
Signed-off-by: MrPresent-Han <chun.han@zilliz.com>
See also #29113
The collection schema is crucial when performing search/query but some
of the information is calculated for every request.
This PR change schema field of cached collection info into a utility
`schemaInfo` type to store some stable result, say pk field,
partitionKeyEnabled, etc. And provided field name to id map for
search/query services.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
The tests need to call a private method, Milvus uses `#define` to
replace private with public, the hack trick works but would be broken if
the including order changed.
This uses friend to make all things work well
Signed-off-by: yah01 <yang.cen@zilliz.com>
Signed-off-by: yah01 <yah2er0ne@outlook.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>
