Azure, RPA, AI, Selenium, Angular, API
Apache JMeter features and uses:
Apache JMeter is a performance tool developed in Java.
Supports both load and performance tests,
Supports different applications/server/protocol types,
Web – HTTP, HTTPS – i.e application made in Java, NodeJS, PHP, ASP.NET etc
SOAP / REST Webservices, FTP , LDAP & TCP etc.
Additionally it supports Database via JDBC, Message-oriented middleware via JMS, Mail – SMTP(S), POP3(S) and IMAP(S), also Native commands or shell scripts & Java Objects
LoadRunner version 12.53
I am yet to try the trial version of LoadRunner 12.53, However I read the following are some of the features shall be available for users
Git integration in VuGen
REST step builder editor in VuGen
64-bit replay support in various Java protocols and C Vuser protocol
New PCoIP remote access protocol
Enhanced SAPUI5 recording in TruClient
HTTP Video Streaming (HTML5, HLS) support
JSON manipulation APIs
Web – HTTP/HTML and Mobile Application – HTTP/HTML protocol unification
Linux load generator improvements
Enhancements to Java-based protocols etc are main features that I would like to try..
Java vs JavaScript
Java is an OOP programming language and written in Integrated Development Environment(IDE) like ECLIPSE however Java Script is an OOP scripting language and does not require any IDE. Java is class based but Java script is not. Java code needs compiling on IDE but JavaScript code does not. Java script is extensively used in World Wide Web apart from HTML and CSS. Java creates applications that run in a virtual machine or browser while JavaScript code is run on a browser only. JavaScript uses much smaller, easier and simpler set of commands than Java. Java is more rigid and complex.
Java OOP concepts
Object-Oriented Programming is a methodology to design a program using classes and objects. Java uses OOP.
Object – an entity that has state and behavior is known as an object
classes – Collection of objects is called class.
Polymorphism – When one task is performed by different ways or ability of an object to take on many forms.
Abstraction – Hiding internal details and showing functionality is known as abstraction.
Encapsulation – is a process of binding or wrapping the data with the code.
Inheritance – When one object acquires all the properties and behaviors of parent object. It helps on code re-usability.
JSON(JavaScript Object Notation) vs XML(extensible Markup Language)
JSON is more compact, readable and is an open standard format that uses human-readable text. JSON transimission is much more faster than XML. It is easy to use with Java script.
XML is a markup language is both human-readable and machine-readable, it defines a set of rules for encoding documents in a format, it is also aiming usability across Internet. XML has more data and bulky and slower than JSON.
JSON got a very simple syntax and could be easily learned. But the XML format can be determined by the XML DTD or XML Schema. JSON has the data-exchange format which is getting more popular as it is more JavaScript applications possible format.
Java Advanced definitions
The data structures provided by the Java utility package are the following interface and classes.
Enumeration – Enumeration interface feature is used for retrieving successive elements from a data structure.
BitSet – BitSet classes implement a group of bits or flags.
Vector – Vector class is similar to Java array however it has an ability to add new elements when required.
Stack – Stack class features ‘last in first out’ stack of elements.
Properties – Properties are subclass of Hash table. it is meant to maintain lists of values in which both key & Value are Strings.
Hashtable – Hashtable class is meant to organize data based on some user defined key structure.
Dictionary – Dictionary class is an abstract class that defines a data structure for mapping keys to values.
Hadoop – is a Java based programming framework that supports the processing of large data sets in a distributed computing environment
Hadoop – is based on Google File System (GFS)
Hadoop – uses thousands of nodes this is the key to improve performance.
Hadoop – is a Distributed File System or HDFS, which enables fast data transfer among the nodes.
Hadoop Configuration – has got the three modes of Hadoop configuration – Standalone, pseudo distributed, and fully distributed.
Hadoop MapReduce – Hadoop MapReduce is the core components of Hadoop and is a programming model and helps implementation for processing and generating large data sets, it uses parallel and distributed algorithms on a cluster. it can handle large scale data: petabytes, exabytes.
Mapreduce framework converts each record of input into a key/value pair.
Ubuntu Server – Ubuntu is a leading open-source platform. it helps in utilizing the infrastructure to users when they want to deploy a cloud, a web farm, or a Hadoop cluster.
HadoopDistributed File System (HDFS)- HadoopDistributed File System (HDFS) is a block-structured, distributed file system.
Distributed Cache – Distributed Cache is a Hadoop feature that helps cache files needed by applications.
Hive – is a data warehouse system for Hadoop.
Hive – facilitates ad hoc queries and aids analysis of data sets stored in Hadoop.
Hive – provides an SQL like language called HiveQL(HQL)
Apache HBase – is a distributed, column oriented database.
Apache HBase – is built on top of HDFS.
Apache HBase – is an open-source, distributed, versioned, non relational database system.
Apache HBase – has two types of Nodes. 1. Master and 2. Region Server.
Cloudera – is a commercial vendor for deploying Hadoopin an enterprise.
Cloudera – offers ClouderaManager for system management, ClouderaNavigator for data management.
ZooKeeper – is an open source and high performance co ordination service for distributed applications.
Pivotal HD – is a commercially supported, enterprise capable distribution of Hadoop and it aims to accelerate data analytics projects.
Sqoop – Sqoop is an Apache Hadoop ecosystem project. Sqoop’s responsibility is to import or export operations across relational databases.
Apache Oozie – is a workflow scheduler system used to manage Apache Hadoop jobs/MapReduce jobs
Mahout – is library of machine learning algorithams, helps in clustering and Clustering allows the system to group various entities into separate clusters or groups based on certain characteristics or features.
Apache Ambari – Apache Ambari is a completely open operational tool or framework for provisioning, managing, and monitoring Apache Hadoop clusters.
Kerberos – is a third party authentication mechanism. It has a database of the users/services and their respective Kerberos passwords.
Hadoop MapReduce – Hadoop MapReduce is the main core components of Hadoop and is a programming model Hadoop MapReduce helps implementation for processing and generating large data sets, it uses parallel and distributed algorithms on a cluster. Hadoop MapReduce can handle large scale data: petabytes, exabytes.
Mapreduce framework converts each record of input into a key/value pair.
Hadoop Distributed File System (HDFS)- HadoopDistributed File System (HDFS) is a block-structured, distributed file system.
Hadoop Distributed Cache – Distributed Cache is a Hadoop feature that helps cache files needed by applications.