Hi Team.
I use spark 3.5.0 to start Spark cluster with start-master.sh and
start-worker.sh, when I use ./bin/spark-shell --master
spark://LAPTOP-TC4A0SCV.:7077 and get error logs:
```
23/10/24 12:00:46 ERROR TaskSchedulerImpl: Lost an executor 1 (already
removed): Command exited with code
Hi Lisoda,
The iceberg jar for hive 3.1.3 doesn't have a lot of changes, We did a
bunch of improvements on the 4.x line for Hive-Iceberg. You can give
iceberg a try on the 4.0.0-beta-1 release mentioned here [1], we have a
bunch of improvements like vecotrization and stuff like that. If you wanna
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 wrote:
> We are not going to use starrocks.
> m
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 |
| Date | 10/24/2023 01:39 |
| To | user@hive.apache.org |
| Cc | |
| Subject | Re: Hive's pe
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
c
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 Runt
