clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- `make_distributed_plan` with Cascades checks `max_rows_to_read` against the coordinator's whole-table estimate and rejects in-order reads that stay under it
- `toString` injectivity misses saturating `Time`/`DateTime64` and `QBit` NaN
- DDLWorker skips every ON CLUSTER task after first start on a fresh volume ("There is no a local address in host list") until restart
- `timeout_overflow_mode = 'break'` fails with `TIMEOUT_EXCEEDED` when the deadline is hit inside `PREWHERE`
- Detect when Nullable columns have no NULLs
- Bloom filter map zero check is Enum-only, drops Date32/Tuple(Enum) rows
- `m['k'] IN ((...))` throws with mapKeys bloom filter on Tuple map values
- `optimize_extract_common_expressions` rejects valid `JOIN ON`: cast to `Nothing`
- Missing combinations of TopN dynamic filtering and the query condition cache for Parquet over object storage, data lakes and URL
- Parquet export with Snappy fails on rows over ~1.71 GiB: CANNOT_COMPRESS
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- C++ not yet supported