In this post, we discussed how to fill a null value with the previous not-null value in a Spark Dataframe. We have also discussed how to extract the non-null values per group from a spark dataframe. Now, in this post, we will learn how to fill a null value with the next available not-null value […]
Fill null with the next not null value – Spark Dataframe Read More »
In the previous post, we discussed how to extract the non-null values per group from a spark dataframe. Now, in this post, we will learn how to fill the null values with the previous not-null value in a spark dataframe using the backfill method. To demonstrate this with the help of an example, we will
Fill null with the previous not null value – Spark Dataframe Read More »
In this post, we will discuss an error/warning message “java.io.IOException: Failed to connect to”. This error keeps coming when we try to execute a hive query from spark-shell using spark SQL. This error occurs when Spark tries to execute a task in local mode (pseudo-distributed mode). It is caused because of a connection exception. The
ERROR Utils: Aborting task java.io.IOException: Failed to connect to – Local Spark Read More »
Suppose, we need to get the first non-null value from a Dataframe from each partition. Certainly, we want to get only the first not null value from each column regardless of the rows. That means a not-null value from column A from row 5 can be stitched with another not-null value of column B from
Get the first non-null value per group Spark dataframe Read More »
In the previous post, we discussed the Try, Success, Failure exception handling method. Now, in this post, we will discuss the use of Scala’s Option, Some, None pattern and its usage. Scala is a high-level programming language combining object-oriented and functional programming in one place. It is a very powerful programming language that can be
Scala Option, Some, None – Exception and Null handling Read More »
In this post, we will discuss the Scala’s functional error handling method using Try, Success, Failure. We know that Scala is a high-level programming language that combines both object-oriented and functional programming in one place. It runs on JVM so it can be mixed seamlessly with Java. Scala’s static types helps to identify bugs at
Scala Try, Success, Failure – Functional error handling Read More »
This post will teach us how to execute a scala file in Spark without creating a jar file. We know that a scala source code file has an extension of .scala. Also, we need to create or package the source code into a jar file to execute an application written in Scala. We can create
Execute Scala file in Spark without creating a jar Read More »
Just like the Maven build tool, sbt is another tool that can be used to manage the project development lifecycle. It helps us to build, test, and package the Scala and Java-based projects into a .jar file. This jar file can be used as a package in another application/project, or it can be simply used
Create jar in IntelliJ IDEA for sbt-based Scala + Spark project Read More »
In this post, we will learn how we can create a jar in IntelliJ IDEA for a Maven-based Scala + Spark project. We will use the maven build tool to create the jar file from the sample Scala project. We know that the Maven is a project management tool that can be used to manage
Create jar in IntelliJ IDEA for Maven-based Scala + Spark project Read More »
In the previous post, we discussed how to set up a maven-based Scala project. Now, in this post, we will learn how we can create an sbt-based Scala project using IntelliJ IDEA IDE. The sbt is an open-source build tool for Scala and Java projects like Maven and Ant. If you need to install IntelliJ
Create scala sbt project using IntelliJ IDEA – Step by step Read More »
