clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- Text index: speed up `hasPhrase` by matching positions in place
- Hide runtime addresses on macOS as on Linux
- Collect per-query LLVM coverage for performance tests
- Faster hash joins on wide multi-column keys and `String` mixes
- Fix LOGICAL_ERROR on invalidate_query of a remote ClickHouse dictionary source
- Infer a predicate on the `Nullable` side of a converted outer join under `join_use_nulls`
- Let automatic parallel replicas handle direct read from a text index
- Apply each S3Queue table own `after_processing`
- JIT: `compiled_expression_cache_size` does not bound JIT memory; `LLVMContext` grows unbounded with distinct literals
- Iceberg and s3() reads of Parquet files written by ClickHouse wait for each file's offset index and column data in turn; reading the next file ahead cuts a 100M-row IcebergS3 scan from 1.57 s to 0.89 s
- Docs
- C++ not yet supported