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November 29, 2018

Selenium Grid – Test execution in Cluster (Part-2)

In this post, we will discuss about the configuration of Hub & Node(s) with Options. Table of Contents1 Configure Hub2 Access Selenium Grid Console3 Configure Hub with Options4 Configure Node(s)5 Configure Node(s) with Options6 Configure Hub & Node(s) with JSON file Configure Hub To configure the Hub, please follow the below steps. Download the Selenium Standalone Server from here. Start...

Selenium/Selenium Grid/Software Testing

November 29, 2018

Selenium Grid – Test execution in Cluster (Part-1)

Selenium Grid Selenium-Grid allows you to run your tests on different machines against different browsers in parallel. Key Features of Selenium Grid Distributing tests on several machines (parallel execution). Running multiple tests at the same time against different machines running different browsers and operating systems. Essentially, Selenium-Grid support distributed test execution. It allows for running your tests in a distributed test...

Selenium/Selenium Grid/Software Testing

November 28, 2018

Spark Quiz Set 01

Spark Assessment Set 01

Apache Spark

November 17, 2018

Implicit, Explicit & Fluent Wait in Selenium WebDriver

Implicit Wait Implicit Wait will let Selenium WebDriver to wait for a certain amount of time, before throwing the exception that it cannot find the element on the web page. Note: The Implicit Wait will be in place, when the browser is opened. This means, that any search for elements on the page could take the time the Implicit Wait...

Selenium/Software Testing

November 16, 2018

Hadoop Quiz Set 01

Hadoop

November 11, 2018

Ideal size of HDFS block to get maximum performance

Table of Contents1 HDFS2 Block3 Block Size4 What happens when the block size is small5 What happens when the block size is large6 Important Points to consider while choosing Block Size HDFS HDFS Stands for Hadoop Distributed File System is the worlds most reliable Distributed Storage System. HDFS is a FileSystem designed for storing very large files. Block In Hadoop...

Hadoop

October 28, 2018

repartition() vs coalesce() in Spark

Spark splits data into partitions and computation is done in parallel for each partition. It is very important to understand how data is partitioned and when you need to manually modify the partitioning to run spark application efficiently. In Spark RDD API there are 2 methods available to increase or decrease the number of partitions. repartition() method and coalesce() method...

Apache Spark/RDD

October 26, 2018

cache() vs persist() methods in Spark

cache() and persist() are 2 methods available in Spark to improve performance of spark computation. These methods help to save intermediate results so they can be reused in subsequent stages. These interim results as RDDs are thus kept in Memory (default) or Solid storage like disk and/or replicated. RDDs can be cached using cache operation and they can also be persisted using...

Apache Spark/RDD

October 12, 2018

Kafka Commands

How to start a zookeeper ? > zkServer.sh start How to start a Kafka Broker ? > kafka-server-start.sh /home/npntraining/opt/kafka_2.11-0.10.2.1/config/server.properties How to create a topic ? > kafka-topics.sh –create –zookeeper localhost:2181 –replication-factor 1 –partitions 1 –topic Hello-Kafka

Kafka

October 11, 2018

Aggregation on Text Fields in the MapReduce Example

Table of Contents1 Introduction2 Here is how to set things up to run the above MapReduce job:2.1 Create an Executable Jar containing your MapReduce classes2.2 Create a working Hadoop instance2.3 You must first have a working Hadoop installation to run this on. I personally like to create a Docker container using the sequenceiq/docker-spark image.2.4 Create an HDFS directory for your...

Hadoop/MapReduce