Dear Shirley, Thank you for the update! I appreciate the clarification regarding the release schedule. I’ll plan to give it a spin for testing purposes before the official release. Best regards, Joice
On Mon, Dec 16, 2024 at 9:35 AM Shirley Hu <shirleyhuws...@gmail.com> wrote: > Hi Joice, > > I just confirmed with @GuoLei. The official big release is scheduled for > late February. Before that, you can give it a spin for testing purposes. We > are preparing the relevant docs lately. I will keep you posted :) > > Best, > > Shirley H. > Developer Advocate for Apache Doris > > Joice Jacob <joicejacob1...@gmail.com> 于2024年12月12日周四 14:28写道： > > > Dear Apache Doris Development Community, > > Thank you for the update and the link to the branch! > > > > Could you kindly let us know when the next release of Apache Doris, > > including the disk spill feature, is expected to be available? > > > > On Tue, Dec 10, 2024 at 10:07 AM Joice Jacob <joicejacob1...@gmail.com> > > wrote: > > > > > Dear Apache Doris Development Community, > > > > > > Our team is very satisfied with the performance of Apache Doris, but we > > > have a few concerns that we would like to clarify. > > > > > > We are planning to replace Hive with Doris for our use cases. In Hive, > > > queries typically complete successfully using the available resources, > > even > > > under constrained conditions. Most of our queries are small; however, > we > > > have some offline reporting use cases that require computing data for > 3, > > 6, > > > 9, or 15 months. > > > > > > In Doris, we have observed that queries fail when resources are > > > insufficient. This poses a challenge, as scaling the cluster to > > accommodate > > > large queries isn't feasible due to their infrequent execution. Even > when > > > the Doris cluster is entirely free, large queries sometimes fail due to > > > resource limitations. > > > > > > Our question is: > > > > > > > > > 1. Is there any configuration in Doris that can ensure queries > > > complete successfully when resources are constrained, rather than > > failing? > > > 2. Can we expect a feature in future releases that allows large > > > queries to gracefully utilize available resources and complete > without > > > failing, even when memory is limited? > > > > > > We appreciate your insights and guidance on this matter. > > > > > > Best regards, > > > > > >
