Both the median and quantile calculations in Spark can be performed using the DataFrame API or Spark SQL. You can use built-in functions such as approxQuantile, percentile_approx, sort, and selectExpr…
A Spark DataFrame can be created from various sources for example from Scala's list of iterable objects. Creating DataFrame from a Scala list of iterable in Apache Spark is a…
How to resolve Cannot call methods on a stopped SparkContext in Databricks Notebooks or any application while working in Spark/Pyspark environment. In Spark when you are trying to call methods…
Why Spark RDDs are immutable? Spark Resilient Distributed Datasets (RDDs) are the fundamental data structures in Spark that allow for distributed data processing. Spark RDDs are immutable and fault-tolerant collections…
The Lineage Graph is a directed acyclic graph (DAG) in Spark or PySpark that represents the dependencies between RDDs (Resilient Distributed Datasets) or DataFrames in a Spark application. In this…
How to select all other columns when using Groupby in Spark DataFrame? In Spark Scala, there is no direct way if you want to group a DataFrame by one column…
Is it better to have in Spark one large parquet file vs lots of smaller parquet files? The decision to use one large parquet file or lots of smaller parquet…
In Apache Spark, both createOrReplaceTempView() and registerTempTable() methods can be used to register a DataFrame as a temporary table and query it using Spark SQL. In this article, we shall…
Spark registerTempTable() is a method in Apache Spark's DataFrame API that allows you to register a DataFrame as a temporary table in the Spark SQL catalog so that you can…
Spark saveAsTextFile() is one of the methods that write the content into one or more text files (part files). In this article, we shall discuss in detail about Spark saveAsTextFile()…
