Hi z0ltrix, There are two links to contribute the ideas. [1] is the issues collector for the anything (Recommended). [2] is the guideline of contribution. Enjoy
[1] Github Issues <https://github.com/apache/drill/issues> [2] Guideline Notice <https://github.com/apache/drill/issues/2233> > 2021年7月5日 上午12:12，Christian Pfarr <[email protected]> 写道： > > Hi luoc, > > > of course. I would be happy to support you with this. > > How to start? > > > Regards, > > z0ltrix > > > > > > > -------- Original-Nachricht -------- > Am 4. Juli 2021, 17:37, luoc schrieb: > > > Hi, > Makes perfect sense so far. Obviously, you understand the difference between > batch computation and Ad-Hoc. At the same time, Drill is a high-performance > MPP query layer for self describing data, schema-free and ANSI SQL. > Would you mind helping me open an issue on the Github? Is a good way to > initiate the technical discussion. > > > 在 2021年7月4日，02:54，Christian Pfarr <[email protected]> 写道： > > Hi luoc, > > > > > > thanks for the information. > > > > > > I think this kind of storage format is used more and more in cloud > > architectures because it departments wants to use as less tools as possible > > to provide a big data product. With iceberg they can build consistant and > > scalable big data structures for stream and batch processing at the same > > storage layer with a single tool, Spark. > > > > > > The problem is how to provide the data to customers. In my opinion Spark > > itself is too slow for interactive querying by a lot of people or BI Tools. > > Thats the point where Tools like Presto, Drill or Dremio enters the stage. > > > > > > I would like to see Drill as competitor in this area, especially because of > > the brilliant flexible and schemaless design. > > > > > > If the Iceberg implementation is already done for metastore and you are > > already experienced with its internals, it sounds worth to invest the time > > and energy for a new format plugin. > > > > > > Just the opinion of an consultant who wants to recommend drill for this > > usecases ;) > > > > > > Regards > > > > z0ltrix > > > > > > > > > > > > > > > > -------- Original-Nachricht -------- > > Am 3. Juli 2021, 16:55, luoc schrieb: > > > > Hello, > > Thanks for the interest. Drill’s Metastore allows to use a storage engine > > based on Iceberg tables. But now, It seems that Drill does not support the > > data of Iceberg for query. I will tell you that Drill can definitely > > support Iceberg, including readable and writeable. The condition is that we > > need to develop the format plugin using the "Easy framework based on EVF". > > Please let me know if you are interested in the that. > > > > > 2021年7月3日 上午2:41，Christian Pfarr <[email protected]> 写道： > > > > > > Hello everyone, > > > > > > > > > it looks like more and more people are using deltalake or iceberg in > > > spark for transactional working with big tables. > > > > > > > > > Additionally i saw that drill is using iceberg as storage engine for > > > metadata. > > > > > > > > > So, i wonder if its possible to query iceberg tables stored in hdfs or s3 > > > directly via drill so that i can process my data with spark iceberg > > > tables and present them with drill to my data scientists. > > > > > > > > > Regards, > > > > > > z0ltrix > > > > > > > > > > > > > > > > > > > > > <publickey - EmailAddress([email protected]) - 0xF0E154C5.asc> > > > > <publickey - EmailAddress([email protected]) - 0xF0E154C5.asc> > > <publickey - EmailAddress([email protected]) - 0xF0E154C5.asc>
