New Features
- [Preview] StarRocks now supports Iceberg external tables.
- [Preview] The pipeline engine is now available. It is a new execution engine designed for multicore scheduling. The query parallelism can be adaptively adjusted without the need to set the parallel_fragment_exec_instance_num parameter. This also improves performance in high concurrency scenarios.
- The CTAS (Create Table As Select) function is supported, making ETL and table creation easier.
- SQL fingerprint is supported. SQL fingerprint is generated in audit.log, which facilitates the location of slow queries.
Improvements
- Compaction is optimized. A flat table can contain up to 10,000 columns.
- The performance of first-time scan and page cache is optimized. Random I/O is reduced to improve first-time scan performance. The improvement is more noticeable if first-time scan occurs on SATA disks. StarRocks' page cache can store original data, which eliminates the need for bitshuffle encoding and unnecessary decoding. This improves the cache hit rate and query efficiency.
- Schema change is supported in the primary key model. You can add, delete, and modify bitmap indexes by using
Alter table. - [Preview] The size of a string can be up to 1 MB.
- JSON load performance is optimized. You can load more than 100 MB JSON data in a single file.
- Bitmap index performance is optimized.
- The performance of StarRocks Hive external tables is optimized. Data in the CSV format can be read.
- DEFAULT CURRENT_TIMESTAMP is supported in the create table statement. #1193
- StarRocks supports the loading of CSV files with multiple delimiters.
BugFix
The following bugs are fixed:
- Auto __op mapping does not take effect if jsonpaths is specified in the command used for loading JSON data. #3405
- BE nodes fail because the source data changes during data loading using Broker Load. #3481
- Some SQL statements report errors after materialized views are created. #2975
- The routine load does not work due to quoted jsonpaths. #2488
- Query concurrency decreases sharply when the number of columns to query exceeds 200.
Behavior Changes
- The API for disabling a Colocation Group is changed from DELETE /api/colocate/group_stable to POST /api/colocate/group_unstable.
Others
- flink-connector-starrocks is now available for Flink to read StarRocks data in batches. This improves data read efficiency compared to the JDBC connector.