Too bad. Tencent Games used StarRocks with Apache Iceberg to power their analytics. https://medium.com/starrocks-engineering/tencent-games-inside-scoop-the-road-to-cloud-native-with-starrocks-d7dcb2438e25.
On Mon, Oct 23, 2023 at 10:55 AM lisoda <lis...@yeah.net> wrote: > We are not going to use starrocks. > mpp architecture databases have natural limitations, and starrocks does > not necessarily perform better than hive llap. > > > ---- Replied Message ---- > From Albert Wong<albert.w...@celerdata.com> <albert.w...@celerdata.com> > Date 10/24/2023 01:39 > To user@hive.apache.org > Cc > Subject Re: Hive's performance for querying the Iceberg table is very > poor. > I would try http://starrocks.io. StarRocks is an MPP OLAP database that > can query Apache Iceberg and we can cache the data for faster performance. > We also have additional features like building materialized views that span > across Apache Iceberg, Apache Hudi and Apache Hive. Here is a video of > connecting the 2 products through a webinar StarRocks did with Tabular > (authors of Apache Iceberg). > https://www.youtube.com/watch?v=bAmcTrX7hCI&t=10s > > On Mon, Oct 23, 2023 at 7:18 AM lisoda <lis...@yeah.net> wrote: > >> Hi Team. >> I recently was testing Hive query Iceberg table , I found that Hive >> query Iceberg table performance is very very poor . Almost impossible to >> use in the production environment . And Join conditions can not be pushed >> down to the Iceberg partition. >> I'm using the 1.3.1 Hive Runtime Jar from the Iceberg community. >> Currently I'm using Hive 3.1.3, Iceberg 1.3.1. >> Now I'm very frustrated because the performance is so bad that I >> can't deliver to my customers. How can I solve this problem? >> Details: >> https://apache-iceberg.slack.com/archives/C025PH0G1D4/p1695050248606629 >> I would be grateful if someone could guide me. >> >