Spark Internal Execution plan
Spark internal execution plan is a set of operations executed to translate SQL query, DataFrame, and Dataset into the best possible optimized logical and physical plan. It determines the processing…
Spark internal execution plan is a set of operations executed to translate SQL query, DataFrame, and Dataset into the best possible optimized logical and physical plan. It determines the processing…
Adaptive Query Execution (AQE) is one of the greatest features of Spark 3.0 which reoptimizes and adjusts query plans based on runtime statistics collected during the execution of the query.…
Spark 3.0 released with a list of new features that includes performance improvement using ADQ, reading Binary files, improved support for SQL and Python, Python 3.0, Hadoop 3 compatibility, ACID…
Since Spark 3.0, Spark supports a data source format binaryFile to read binary file (image, pdf, zip, gzip, tar e.t.c) into Spark DataFrame/Dataset. When used binaryFile format, the DataFrameReader converts the entire…