In Spark, the level of parallelism is determined by the number of partitions and the number of executor cores. Each task runs on a single core, so having more executor cores allows more tasks to run in parallel.To achieve parallelism, you need to exp...
It is due to the retention Period for Change Data Feed: When CDF is enabled, Databricks retains the change data for a specified period. This retention period ensures that the change data is available for downstream processing and auditing. The VACUUM...
try this :.option('kafka.session.timeout.ms', 200000).option('group.max.session.timeout.ms', 7200000) kafka.session.timeout.ms: Specifies the timeout for detecting consumer failures.group.max.session.timeout.ms: Sets the maximum allowed session timeo...
Hi,1) Ensure that the paths you are trying to access are correct and exist in the ADLS Gen2 storage account.2) Verify that the Databricks cluster has the necessary permissions to access the ADLS Gen2 pathsBr
