See also #34746
This PR add segment level field in response of
`GetPersistentSegmentInfo` and `GetQuerySegmentInfo`
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Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
1. support read and write null in segcore
will store valid_data(use uint8_t type to save memory) in fieldData.
2. support load null
binlog reader read and write data into column(sealed segment),
insertRecord(growing segment). In sealed segment, store valid_data
directly. In growing segment, considering prior implementation and easy
code reading, it covert uint8_t to fbvector<bool>, which may optimize in
future.
3. retrieve valid_data.
parse valid_data in search/query.
#31728
---------
Signed-off-by: lixinguo <xinguo.li@zilliz.com>
Co-authored-by: lixinguo <xinguo.li@zilliz.com>
issue: #34357
Go Parquet uses dictionary encoding by default, and it will fall back to
plain encoding if the dictionary size exceeds the dictionary size page
limit. Users can specify custom fallback encoding by using
`parquet.WithEncoding(ENCODING_METHOD)` in writer properties. However,
Go Parquet [fallbacks to plain
encoding](e65c1e295d/go/parquet/file/column_writer_types.gen.go.tmpl (L238))
rather than custom encoding method users provide. Therefore, this patch
only turns off dictionary encoding for the primary key.
With a 5 million auto ID primary key benchmark, the parquet file size
improves from 13.93 MB to 8.36 MB when dictionary encoding is turned
off, reducing primary key storage space by 40%.
Signed-off-by: shaoting-huang <shaoting.huang@zilliz.com>
github.com/gogo/protobuf is deprecated and could be error prune after
upgrade protobuf message to v2.
Signed-off-by: Congqi Xia <congqi.xia@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>
issue: #34123
Benchmark case: The benchmark run the go benchmark function
`BenchmarkDeltalogFormat` which is put in the Files changed. It tests
the performance of serializing and deserializing from two different data
formats under a 10 million delete log dataset.
Metrics: The benchmarks measure the average time taken per operation
(ns/op), memory allocated per operation (MB/op), and the number of
memory allocations per operation (allocs/op).
| Test Name | Avg Time (ns/op) | Time Comparison | Memory Allocation
(MB/op) | Memory Comparison | Allocation Count (allocs/op) | Allocation
Comparison |
|---------------------------------|------------------|-----------------|---------------------------|-------------------|------------------------------|------------------------|
| one_string_format_reader | 2,781,990,000 | Baseline | 2,422 | Baseline
| 20,336,539 | Baseline |
| pk_ts_separate_format_reader | 480,682,639 | -82.72% | 1,765 | -27.14%
| 20,396,958 | +0.30% |
| one_string_format_writer | 5,483,436,041 | Baseline | 13,900 |
Baseline | 70,057,473 | Baseline |
| pk_and_ts_separate_format_writer| 798,591,584 | -85.43% | 2,178 |
-84.34% | 30,270,488 | -56.78% |
Both read and write operations show significant improvements in both
speed and memory allocation.
Signed-off-by: shaoting-huang <shaoting.huang@zilliz.com>
related: #30376
1. support more complex expr
2. add more ut test for unrelated fields
Signed-off-by: MrPresent-Han <chun.han@gmail.com>
Co-authored-by: MrPresent-Han <chun.han@gmail.com>
Some lint issue is not detect due to recent static check pipeline issue.
This PR fixes these problem and Go milvusclient testcases.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
See also #33787
The parsing delete log is distributed in lots of places, which is not
recommended and hard to maintain.
This PR abstract common parsing logic into `DeleteLog.Parse` method to
unify implementation and make it easier to replace json parsing lib.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
See also #33561
This PR:
- Use zero copy when buffering insert messages
- Make `storage.InsertCodec` support serialize multiple insert data
chunk into same batch binlog files
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #32995
To speed up the construction and querying of Bloom filters, we chose a
blocked Bloom filter instead of a basic Bloom filter implementation.
WARN: This PR is compatible with old version bf impl, but if fall back
to old milvus version, it may causes bloom filter deserialize failed.
In single Bloom filter test cases with a capacity of 1,000,000 and a
false positive rate (FPR) of 0.001, the blocked Bloom filter is 5 times
faster than the basic Bloom filter in both querying and construction, at
the cost of a 30% increase in memory usage.
- Block BF construct time {"time": "54.128131ms"}
- Block BF size {"size": 3021578}
- Block BF Test cost {"time": "55.407352ms"}
- Basic BF construct time {"time": "210.262183ms"}
- Basic BF size {"size": 2396308}
- Basic BF Test cost {"time": "192.596229ms"}
In multi Bloom filter test cases with a capacity of 100,000, an FPR of
0.001, and 100 Bloom filters, we reuse the primary key locations for all
Bloom filters to avoid repeated hash computations. As a result, the
blocked Bloom filter is also 5 times faster than the basic Bloom filter
in querying.
- Block BF TestLocation cost {"time": "529.97183ms"}
- Basic BF TestLocation cost {"time": "3.197430181s"}
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
See also #32642
`LocationCache` used map to store different locations for different K
which may cause lots of CPU time when get locations many times.
This PR change the implementation of LocationCache to store only the
location for the largest K used to totally remove the map access
operation.
See pprof from test of @XuanYang-cn
![image](https://github.com/milvus-io/milvus/assets/84113973/ad17cff8-62ad-4d78-9bb0-f6df0512f4ea)
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #33005
1. add `MemorySize` field for insert binlog.
2. `LogSize` means the file size in the storage object.
3. `MemorySize` means the size of the data in the memory.
---------
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Signed-off-by: cai.zhang <cai.zhang@zilliz.com>
See also #32642
This PR reuses hash locations for bloom filter prediction utilizing
`storage.Location`, like enhancement #32642.
Also adds a utility struct in storage: `LocationCache` to storage
locations for variable K (numbers of hash functions)
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #32530
when try to match segment bloom filter with pk, we can reuse the hash
locations. This PR maintain the max hash Func, and compute hash location
once for all segment, reuse hash location can speed up bf access
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #19095,#29655,#31718
- Change `ListWithPrefix` to `WalkWithPrefix` of OOS into a pipeline
mode.
- File garbage collection is performed in other goroutine.
- Segment Index Recycle clean index file too.
---------
Signed-off-by: chyezh <chyezh@outlook.com>
issue: #29419
added helper functions to parse JSON representation of sparse float
vectors, will be used by both the restful server and the import utils.
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>