Comments (6)
Secordary index on structured data type.
--->
Secondary index on structured data types.
Here is a mis-spelling error.
from infinity.
CI improvement: post logs of infinity when CI failure, use Ubuntu 20.04 as base of dev image.
Fuzz test of infinity.
from infinity.
I would like to contribute to this project, which issue would be a good start?
from infinity.
- Secondary
Fixed and thank you.
from infinity.
compatibility testing
image | tag | refer |
---|---|---|
centos | 7 8 | https://hub.docker.com/_/centos/ |
ubuntu | 20.04 22.04 24.04 | https://hub.docker.com/_/ubuntu https://releases.ubuntu.com/ |
debian | 8 9 10 11 12 | https://hub.docker.com/_/debian https://www.debian.org/releases/ |
opensuse/leap | 15.0 15.1 15.2 15.3 15.4 15.5 | https://hub.docker.com/r/opensuse/leap |
openeuler/openeuler | 20.03 22.03 | https://hub.docker.com/r/openeuler/openeuler |
openanolis/anolisos | 8.6 23 | https://hub.docker.com/r/openanolis/anolisos |
openkylin/openkylin | 1.0 | https://hub.docker.com/r/openkylin/openkylin |
from infinity.
@Kelvinyu1117
We do have a couple of issues that might work for contributors new to this project.
- Add minmax information to blocks/segments in the current datastore. This information is primarily used for data filtering. (#448)
- Implement a bloomfilter for the blocks/segments to enhance point queries. (#467)
- Currently, query results are stored in memory in a columnar format. However, the client expects the results in Apache Arrow format. At the moment, the format conversion is executed on the Python client, but this worsens the performance, so we plan to convert the results to Apache Arrow format on the server side before sending them to the client.
- There are several optimizer rules to implement, such as constant folding and simplification of arithmetic expressions, which are not yet on the roadmap. Feel free to work on them if interested.
- We have additional complicated tasks not listed here. For instance, the current executor operates with one thread per CPU. We're considering using coroutine to enhance efficiency, but we don't have a solid solution yet. If you have experience in this area, you are very welcome to propose your solution.
- We understand you're interested in contributing C++ code. However, if that's not the case, there's also unimplemented Python code, such as test cases and the Python SDK API.
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Related Issues (20)
- [Bug]: http api, unclear filter format while selecting HOT 1
- [Bug]: http api,Import empty-csv return error_code = 0 , but import empty_fvecs return error_code = 3037
- [Bug]: http api, The KNN topN parameter can be filled with float type without error. HOT 1
- [Feature Request]: Save block version as a disk file. HOT 2
- [Bug]: text insert fail HOT 3
- [Question]: Support for Knowledge graphs HOT 2
- [Feature Request]: HOT 3
- [Feature Request]: Support default value when INSERTION and IMPORT json/jsonl file. HOT 1
- [Bug]: Corruption happens if empty data is used for inverted indexing
- [Bug]: test_insert_big_embedding_various_type failed HOT 1
- [Feature Request]: Building for ARM64 CPUs
- [Bug]: http api: insert vector with type of integer will lead to bad resp HOT 1
- [Bug]: http_api,update vector leads bad resp
- [Bug]: Decrease row count exceed actual row count@src/storage/meta/entry/segment_entry.cppm:184 HOT 1
- [Bug]: http api,the import option header is actually always false HOT 1
- [Bug]: http api: can not import tmp_20240116.csv
- [Feature Request]: Improve delta op performance
- [Question]: Does fulltext index support Chinese? HOT 2
- [Bug]: Cannot find full checkpoint file in shutdown process. HOT 1
- [Bug]: Checkpoint write uncommitted row count.
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