Data DnyanRole of Catalyst optimiser in sparkThe Catalyst optimizer in Apache Spark plays a pivotal role in optimizing and improving the performance of query execution within the…Aug 22, 2023Aug 22, 2023
Data DnyanYou have a Spark job that generates a significant amount of intermediate data during processing.When dealing with a Spark job that generates a significant amount of intermediate data during processing, it’s essential to manage and…Jul 22, 2023Jul 22, 2023
Data DnyanHow to submit spark job on clusterTo submit a Spark application to a cluster for execution, you can use the spark-submit script provided by Spark. spark-submit simplifies…Jul 21, 2023Jul 21, 2023
Data DnyanYou need to design a spark job in such a way that you will process and analyze very large text…How would you approach this problem:Jul 19, 2023Jul 19, 2023
Data Dnyanbest practices to debug Spark applicationsDebugging Spark applications can sometimes be challenging due to the distributed nature of Spark and the complexities involved in data…Jul 18, 2023Jul 18, 2023
Data DnyanOptimize Hive query performanceOptimizing Hive query performance is crucial for efficient data processing. Here are some techniques and best practices to improve Hive…Jul 18, 2023Jul 18, 2023
Data DnyanHandle out-of-memory errors in SparkHandling out-of-memory errors in Spark when processing large datasets can be approached in several ways:Jul 18, 2023Jul 18, 2023
Data DnyanWays to optimize a slow-running Spark jobWhen optimizing a slow-running Spark job, there are several steps you can take to improve its performance. Here’s a general outline of the…Jul 17, 2023Jul 17, 2023
Data DnyanData Skewness in Spark:Data skewness occurs when the distribution of data across partitions is uneven, resulting in certain partitions having significantly more…Jul 17, 2023Jul 17, 2023
