clickhouse
https://github.com/yandex/clickhouse
C++
ClickHouse is a free analytic DBMS for big data.
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- Issues
- Memory allocation issues when performing INSERT SELECT of a Map(String, String) column with large values
- Plan-time constant folding of unbounded generator functions (arrayWithConstant, arrayResize, replicate) ignores max_execution_time/max_memory_usage
- Compare only the dictionary in `ColumnLowCardinality::dynamicStructureEquals`
- Perf CI: start the reference and the patched server with the same static TLS size
- Text index on object storage: each extra search token adds two dependent requests per part; issuing them together makes cold 2-3 token searches 17-45% faster
- Text index: count() on object storage reads parts max_threads at a time; prefetch jobs make a cold count over 100 S3 parts 72-78% faster
- Text index: a large part's LIKE dictionary scan runs on one reading thread while the query's other threads wait; letting them help while no other query runs cuts query time 56-59%
- Test build
- CSV parsing scales badly with input_format_csv_missing_nullable_as_empty_string
- Wrong result: an alias-keyed `additional_table_filters` entry is dropped for cluster table functions (`urlCluster`, `s3Cluster`)
- Docs
- C++ not yet supported