The union and unionAll is used to Combined two dataFrame, for that the schema must be the same for both the dataFrame. from pyspark.sql import SparkSession spark = SparkSession.builder.getOrCreate() list1…
Simple Question What is spark? what is apache spark job,stage and task What is stage, with regards to Spark Job execution? Ans: A stage is a set of parallel tasks, one…
What is WholeStageCodeGen in Spark? If Spark Job is running from a long time(X hours). What is the possible reason? What is Lineage Graph? Difference between groupByKey and reduceByKey? How…
OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) are two distinct types of database systems designed to serve different purposes within an organization. Here are the key differences between…
It is important to decide the file format before developing the spark project.It based on the choice between them often depends on specific use cases, compatibility with processing engines, and…
Spark supports different join types as given below. Inner Join. Left / Left Outer Join. Right / Right Outer Join. Outer / Full Join. Cross Join. Left Anti Join. Left…
Dropping Nulls: We can remove rows containing null values using the drop method. For example: df.dropna() Filling Nulls: We can replace null values with a specified constant or a calculated…
RDD, DataFrame and Dataset are the APIs or abstraction to deal with the data in Apache spark. There is different use case to pick one vs other in the project.…
For running the spark application, Initially we need to decide the the spark deployment mode. There are three types of deployment mode. 1.Local Mode: Local mode used for development, debugging…