clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- Skip Parquet filter pushdown for Dynamic, Object, and Variant columns
- Fix exception when reading Iceberg table with nested types in Map
- Fix DeltaLake exception when accessing Tuple subcolumns with column mapping
- Add assertions in IColumn::mutate to verify deep unique ownership of sub-columns
- Revert "Fix false LOGICAL_ERROR in filesystem cache dynamic resize"
- Implement direct SELECT reading and kafka_commit_on_select for Kafka2 engine
- Add option to return syncrhonous deletion blob storage data during DROP TABLE ... SYNC execution
- Feature: Paimon minmax index
- Add `user_files_policy` server setting for custom disks in user_files directory
- Limit simultaneously active streams in UNION ALL to reduce peak memory
- Docs
- C++ not yet supported