clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- Investigate `_FORTIFY_SOURCE=3` compatibility and release cost
- Do not let a derived `indexHint` keep `HAVING` above `GROUPING SETS`
- Do not infer join conditions through constant join keys in join reordering
- Iceberg reads do not skip data files using JOIN runtime filters: star joins on date-partitioned tables open every file
- Audit whole-binary BTI, CET, and GCS readiness
- Use the bucket top-K conversion for `GROUP BY` on a `LowCardinality` key
- Measure Chromium trap-mode UBSan checks separately
- Columns cache: write a fixed half-cache sample of the stripes of queries larger than the whole cache (repeated ClickBench Q34/Q35/Q29 3-13% faster)
- GROUP BY on a LowCardinality key: count rows per dictionary position and use the bucket top-K for ORDER BY count() (Title count top-10 -34%, SearchPhrase -23%, PageCharset -44%; peak memory not higher)
- Size merge/mutation index granularity of JSON shared data by read size
- Docs
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