The error message indicates an issue with the Spark driver in your Databricks environment. This can be caused by various factors such as:Check Cluster Configuration: Ensure that your Databricks cluster has sufficient resources (CPU, memory) to handle...
-- Grant SELECT, INSERT, UPDATE, DELETE permissions on the tableGRANT SELECT, INSERT, UPDATE, DELETE ON TABLE db_bronze.<table> TO `user@example.com`;-- Grant ALL PRIVILEGES on the databaseGRANT ALL PRIVILEGES ON DATABASE db_bronze TO `user@example.c...
The OutOfMemoryError: GC overhead limit exceeded error in Spark typically indicates that the JVM garbage collector is spending too much time trying to free up memory and is unable to do so effectively. do you have large data volumes?Increase Executor...
hi @kasiviss42 indeed z-order helps in file level data skipping . Now answer is 2 fold.1) if you're joining 2 dataframes then you can make use of data skipping a.k.a z-ordering by performing filters first on those dataframes which will be then used f...
