Hi @Ankith Patlolla​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answe...
Hi! I'm optimizing several Tb of partitioned data on ZSTD lvl 9.It surprises me the level of shuffle write, it could make sense because of ZORDER but I want to be sure that I'm not missing something, here is some context: Could I be missing something...
Hi @Alejandro Martinez​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best an...
Hello,
I am trying to get the shap values for my whole dataset using pandas udf for each category of a categorical variable. It runs well when I run it on a few categories but when I want to run the function on the whole dataset my job fails. I see ...
I want to use data.groupby.apply() to apply a function to each row of my Pyspark Dataframe per group.I used The Grouped Map Pandas UDFs. However I can't figure out how to add another argument to my function. DGCustomerFirst SurveyI tried using the ar...
Is the best practice for tuning shuffle partitions to have the config "autoOptimizeShuffle.enabled" on? I see it is not switched on by default. Why is that?
AQE (enabled by default from 7.3 LTS + onwards) adjusts the shuffle partition number automatically at each stage of the query, based on the size of the map-side shuffle output. So as data size grows or shrinks over different stages, the task size wi...
