The Apache TsFile team is pleased to announce the release of Apache TsFile 1.0.0.
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 Features - Support registering devices - Support registering measurements - Support adding additional measurements - Support writing timeseries data without pre-defined schema - Support writing timeseries data with pre-defined schema - Support writing with tsRecord - Support writing with Tablet - Support writing data into a closed TsFile - Support query timeseries data without any filter - Support query timeseries data with time filter - Support query timeseries data with value filter - Support BOOLEAN, INT32, INT64, FLOAT, DOUBLE, TEXT data types - Support PLAIN, DICTIONARY, RLE, TS_2DIFF, GORILLA, ZIGZAG, CHIMP, SPRINTZ, RLBE encoding algorithm - Support UNCOMPRESSED, SNAPPY, GZIP, LZ4, ZSTD, LZMA2 compression algorithm The full release note is available at: https://dlcdn.apache.org/tsfile/1.0.0/RELEASE_NOTES.md Maven artifacts can be found at: https://search.maven.org/search?q=g:org.apache.tsfile Regards, The Apache TsFile team
