Yes, I think the main differences will be: 1. The header of a ChunkGroup(called RowGroup previously) is moved to the tail of the data and becomes a footer. 2. As a consequence of 1., there is a marker before each ChunkHeader and ChunkGroupFooter, and there is also a marker before the index at the tail of the file, indicating that the data section is over. 3. The index structure at the tail of a TsFile also changes. Please point it out if I miss anything.
> 在 2019年4月2日，下午5:10，Lyndon Dong5 Li <[email protected]> 写道： > > Hi, > > After investigation, I found the tsfile format of go version is almost the > same with the latest TsFile format of java version, but unfortunately there > are some differences between them: They have almost the same meta objects > structures, but there are several attributes are not exactly the same. > > Maybe we can eliminate these differences together if necessary. > > > -----邮件原件----- > 发件人: Xiangdong Huang <[email protected]> > 发送时间: 2019年4月1日 23:03 > 收件人: [email protected] > 主题: [External] Re: Commit tsfile-go > > Hi, > > Glad to see that Lenovo makes this module open sourced. > > I want to confirm that Is this go version follow the latest TsFile format? > see https://cwiki.apache.org/confluence/display/IOTDB/TsFile+Format > > Best, > ----------------------------------- > Xiangdong Huang > School of Software, Tsinghua University > > 黄向东 > 清华大学 软件学院 > > > Lyndon Dong5 Li <[email protected]> 于2019年4月1日周一 下午7:33写道： > >> Hi, >> >> I'm Lidong from Lenovo, I've just created a pull request to commit >> project 'tsfile-go' to branch 'master'. >> Tsfile-go is a Golang version of tsfile(based on branch 'thanos'), >> which was developed by Lenovo & TsingHua. we implemented all of >> features in 'tsfile', including: >> 1. Writing ts data to a tsfile >> 2. Reading/querying ts data from an existing file 3. Encoding/decoding >> with RLE/TS_2DIFF/GORILLA/PLAIN 4. Compression/decompression with >> snappy >> >> Now we have applied tsfile-go to Lenovo IOT platform, for purpose of >> caching & compressing ts data on edge devices. >> >> Best regards >> ----------------------------------- >> Lidong >> LCIG Big Data BU, Lenovo >> >>
