Hi：
Recently, we are upgrading spark from 2.4 to 3.0. We are doing performance
testing and found some performance problems.Through the comparative test, it is
found that spark3.0 reads kudu data much slower than 2.4. Normally, spark2.4
takes 0.1-1s to read the same amount of data, but spark3.0 takes 1 minute to 2
minutes.Both versions of spark use the same spark submit parameter and run in
local mode. The read kudu clusters, tables and query conditions are consistent.
The only difference is that the kudu spark package is different, and that
for spark2.4 is kudu-spark2_2.11,scala version is 2.11, spark3.0 uses
kudu-spark3_2.12 ,scala version is 2.12(This package is based on the Java
version compiled by kudu 1.13，use spark 3.0.0 and scala 2.12 pom.xml file )
Our cluster uses CDH 6.3.1 and kudu version is 1.10.In view of this
situation, what can be optimized or suggestions to improve the performance of
kudu reading data?
Thanks!
