- #HOW TO INSTALL SPARK FRAMEWORK ON ECLIPSE HOW TO#
- #HOW TO INSTALL SPARK FRAMEWORK ON ECLIPSE ANDROID#
#HOW TO INSTALL SPARK FRAMEWORK ON ECLIPSE ANDROID#
The SparkAPI object from the SparkJava API library is designed to work with Android WebView and WebViewClient objects to initiate and process Spark authentication. To compile, install, and run on an Android device, use the target mvn clean install android:deploy android:run. Otherwise, to run on the AVD, use the emulator tag. If you want to run on an android device, make sure the usb tag is present. You must set the sdk path to the location of your local Android SDKs. The pom.xml file contains the maven configuration. If the instance has not been created, SparkAPI will be instantiated and returned with your configuration. Get a handle to a SparkAPI object via the getInstance() singleton static method. If you want to run on a virtual device, create an Android Virtual Device (AVD) using the android avd tool. The pom.xml is currently set to use the 4.0 SDK (Version 14) but more recent versions can also be used. Once an Android SDK is downloaded to your development machine using the Android SDK tool, it must be deployed to your local maven repository using the maven-android-sdk-deployer and command mvn install -P 4.0. You must also set the USER_AGENT with the name of your app or your API requests will not be accepted. Once you register as a Spark developer and receive your Spark Client Id and Client Secret, open the sparkapi.properties file and set the API_KEY and API_SECRET properties. App designed for devices running Android 4.0 or later (API level 14 / Ice Cream Sandwich).
Optional Eclipse IDE with Android Development Tools and m2eclipse installed.Android SDK - at least SDK Version 14 should be downloaded.View app (./Spark Android Screenshots.pdf) on a Nexus 7. So let’s get started.Example Android app that makes use of SparkJava Spark API library to authenticate via Hybrid or OpenID methods, search listings, view listings, view an individual listing with photos and standard fields, and view a user account. To solve the problem of such huge complex data, Hadoop provides the best solution. Also, we are dependent on RDBMS which only stores the structured data. Before Hadoop, we are using a single system for storing and processing data. Hadoop is a framework written in Java programming language that works over the collection of commodity hardware. So to handle or manage it efficiently, Hadoop comes into the picture. This data may be structured data, unstructured or semi-structured.
#HOW TO INSTALL SPARK FRAMEWORK ON ECLIPSE HOW TO#