clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- Update docs with safety warning for `use_environment_credentials`
- RFC: GRANT QUERY GRANTS(...) - derive and grant the minimal privilege set for a query or set of queries
- Iceberg, S3 and file(): Map key and value filters read the whole map; reading m.keys/m.values from their Parquet column makes them up to 14x faster when the map is the only column read
- Docs: clarify self-managed backups for regulated envs
- IcebergS3 INSERT waits for the upload of each data file before writing the next one; overlapping the uploads makes a single-stream INSERT 3x faster
- Apply the query condition cache of each replica with parallel replicas
- Parquet on S3 and Iceberg: every warm read requests each file's offset index again; keeping it with the cached footer makes an IcebergS3 scan of 102 files 28% faster
- Read the lazily materialized columns of Iceberg and other object storage files in parallel: Iceberg `lazy_materialization_join` up to 4x faster, 6x with S3 latency
- Column TTL on one Nested field silently clears another field
- fileCluster: a filter on a view over the table function is still not sent to the replicas after #125615
- Docs
- C++ not yet supported