clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- Apply a monotonic function chain once per granule in index analysis, not once per condition atom
- Cache deserialized granules of bloom filter skip indexes
- Inject a nested Iceberg identity partition value into the column the reader carries
- optimize_trivial_group_by_limit_query silently drops an explicit max_rows_to_group_by throw limit (default group_by_overflow_mode is not treated as a contract)
- Vector similarity index cache over-accounts entries by ~45x, silently degrading to a 0% hit rate
- toString over DateTime falsely claims isInjective: uniqExact(toString(dt)) counts DST-fold duplicates, and optimize_truncate_order_by_after_group_by_keys drops explicit ORDER BY tiebreakers
- Segfault in MergeTreeIndexConditionMinMax on LowCardinality(Nullable(String)) with IN condition (23.8.11.29, 23.8.16.42)
- optimize_injective_functions_in_limit_by makes LIMIT n BY return extra rows per key: the pass trusts false isInjective claims (toString over DateTime in a DST fold, toFixedString)
- Variant comparisons disagree with each other: v = '1' cross-type-matches a UInt64 variant while v IN ('1') and uniqExact treat types as distinct, and v = 1 errors while v = '1' works
- Wrong primary-key pruning survives #110344 for `toStartOfInterval` over a `Date32` key: missing rows and phantom `count()` for out-of-range values
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