Spark + Python : reduce action

This tutorial is sort of an introduction to the action in spark. We have seen transformations like map() and flatMap() till now. reduce is one of the actions provided by spark. In this, we are going to perform an addition operation with the help of reduce action. We are going to follow below steps for achieving … Continue reading Spark + Python : reduce action

Spark + Python : Passing Function

In this tutorial, we are going to various ways in which we pass functions in Spark using Python API. I have shown two ways in which functions can be called/created (for user-defined function). We are going to do the comparison based on filtering capabilities of Spark. For doing this I have created a user-defined function called containsMilind() which … Continue reading Spark + Python : Passing Function

Spark + Python : Union Operation

In this tutorial, we are going to see how the Union operation works. In English Language, union means combining two things. Here, we are also going to do the same thing. The difference is, we are going to attach two RDDs using Union operation. We are using the same input.txt file we used in last tutorial. … Continue reading Spark + Python : Union Operation

Spark + Python – Filter Operation

This is the first program in Spark + Python series. In this tutorial, we are going to see the Filter operation. The objective of this tutorial is to print only those lines containing specified keyword. For doing this, we are going to follow below steps. But before diving into actual operations, please look for the … Continue reading Spark + Python – Filter Operation

Spark + Python – Tools Setup

In this series, we are going to talk about the simple concepts and basic spark programming with Python API. For doing our development work faster and easier, we are going to use some basic tools and software. The tools that we are talking about are Notepad ++ Putty We use Putty to connect to the … Continue reading Spark + Python – Tools Setup

Top 10 Twitter Trending Topics using JAVA twitter4j API

Hi friends, Today we are going to find out the Top 10 Worldwide Trending Topics on Twitter with the help of twitter4j Java API. The step by step process can be depicted in below picture. It shows the step by step algorithm which you can use in order to show top 10 Worldwide Trending Twitter Topics. … Continue reading Top 10 Twitter Trending Topics using JAVA twitter4j API

WordCount in Spark

Hello friends, Today we are going to implement the very famous WordCount code in Spark in spark-shell. For folks who are not familiar with WordCount, in this implementation, we count the occurrences of each word and as a result present a pair of word and their respective count. For example, if my input is as … Continue reading WordCount in Spark

Twitter Sentiment Analysis using OpenNLP JAVA API

Hi, everyone ! Hope everyone is having a great time. In this post, we are going to see the TWITTER SENTIMENT ANALYSIS by using JAVA as a programming language. We are using OPENNLP Maven dependencies for doing this sentiment analysis. Following is that Maven Dependency. https://gist.github.com/milindjagre/1e25abcf007725e5119b484bac0c77c3 As you can see from the above pom.xml file, … Continue reading Twitter Sentiment Analysis using OpenNLP JAVA API

Load CSV File in Hive Table

We can load CSV data into hive table with the help of CSV SERDE JAR FILE which is freely available. You can download it manually by clicking below text. Download CSV SERDE Jar File Here, we are trying to load two types of CSV data in hive table. First type of data contains header i.e. … Continue reading Load CSV File in Hive Table

Read Word Document using JAVA

Hi guys, Following code will enable us to read Microsoft Word Document file using JAVA API. https://gist.github.com/milindjagre/8495bd3ec78d9ad172d31f5eebf0689b Following is the pom.xml contents https://gist.github.com/milindjagre/7e3c444e55a87d00fdfc9fe053bbc0cf Following is the word file contents   Following is the output of code.   Thanks for having a read. Do comment below for your queries.