The Apache TsFile team is pleased to announce the release of Apache TsFile 1.1.0.
Apache TsFile is a columnar storage file format designed for time series data, which supports efficient compression, high throughput of read and write, and compatibility with various frameworks, such as Spark and Flink. It is easy to integrate TsFile into IoT big data processing frameworks. ## New Feature - Support new data types: STRING, BLOB, TIMESTAMP, DATE - Add an equivalent .getLongs() method to .getTimes() in TimeColumn. - Return all columns in TsBlock class ## Improvement/Bugfix - Fix value filter allSatisfy bug - Fix error log caused by ClosedByInterruptException - Fix the mistaken argument in LZ4 Uncompressor - Remove duplicate lookups in dictionary encoder - Optimize SeriesScanUtil by memorizing the order time and satisfied information for each Seq and Unseq Resource - Fix TsBlockBuilder bug in AlignedPageReader and PageReader. - Fix ZstdUncompressor - fix RLBE Encoding for float and double - Fix uncompress page data - Fix encoder and decoder construction of RLBE - Fix aligned TimeValuePair npe - Fix StringStatistics data type - Fix bug in the conversion of int types to timestamp. - Fix error when write aligned tablet with null date The full release note is available at: https://dlcdn.apache.org/tsfile/1.1.0/RELEASE_NOTES.md Maven artifacts can be found at: https://search.maven.org/search?q=g:org.apache.tsfile Regards, The Apache TsFile team
