Oliver Angélil
Oliver Angélil
It's probably pyflakes. It tends to make things hang.
@mohika-knoldus did you resolve this? I'm having the same issue.
@mohika-knoldus The solution was to install apache Hadoop. If you add some config to your spark context it will download it automatically: ``` spark = (SparkSession .builder .config('spark.jars.packages', 'org.apache.hadoop:hadoop-azure:3.3.1,io.delta:delta-core_2.12:2.2.0,io.delta:delta-sharing-spark_2.12:0.6.2') .config('spark.sql.extensions',...
Still confusing to me... > -listing jobs will discover all jobs, and by default will process all subobjects, like, notebooks, SQL objects, owners, etc `-listing jobs` alone (with all `-services`...
H3 functions missing methods on Databricks: `java.lang.NoSuchMethodError: com.uber.h3core.H3Core...`
@jiayuasu @remibaar have the docs been updated to mention this workaround (i.e. adding `rm -f /databricks/jars/*com.uber*h3*.jar` to the init file)? Could you link the page here.
@captn3m0 have you tried adding a page numbering footer in addition to this? When I added the page numbering footer, all these ToC hyperlinks point to page 1. See my...
I recommend to prioritise the popular ones: lag llama, chronos, prophet, etc That will help make your leaderboard more interesting to many people :)