Solr

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About

Apache Solr is an open-source, highly scalable, reliable, and fault-tolerant search tool based on Java. It supports NoSQL and database queries through REST APIs such as Elasticsearch. In addition, it stores data and provides distributed indexing, replication, automated fail-over and recovery, and load-balanced querying to achieve data querying in near real-time.

In today’s digital era, effective management of data and search functionalities is crucial for businesses and organisations. Apache Solr, an advanced search platform built upon Apache Lucene, provides robust features for search and indexing, thereby improving application performance and scalability.

Key Features

  1. Full-Text Search: Solr provides powerful full-text search capabilities, including relevance ranking, highlighting, and spell checking.
  2. Faceted Search: It supports faceting, allowing users to drill down into search results based on categories, ranges, and other dimensions.
  3. Scalability: Solr can handle large volumes of data and queries, making it suitable for enterprise applications. It can be scaled horizontally by adding more nodes.
  4. Real-Time Indexing: Solr allows for real-time indexing, enabling users to see updates almost immediately after data is added or modified.
  5. Advanced Querying: It supports complex queries, including Boolean queries, fuzzy matching, and proximity searches.
  6. Document Handling: Solr can index various document formats, including XML, JSON, CSV, and more. It can extract text from documents using Apache Tika.
  7. API and Integration: Solr has a REST-like HTTP/XML and JSON API, making it easy to integrate with various applications and programming languages.
  8. Distributed Search: SolrCloud provides distributed search capabilities, allowing for load balancing and fault tolerance across multiple servers.
  9. Administration UI: Solr includes an easy-to-use web-based administration interface for managing and monitoring your Solr instances.
  10. Customizable Ranking: Solr allows you to customize how search results are ranked through various scoring and boosting techniques.

You can subscribe to Solr, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage/Deployment Instructions

Step 1: SSH into Your Instance: Use the SSH command with the username ubuntu and the appropriate key pair to start the applications.

Username: ubuntu

ssh -i path/to/ssh_key.pem ubuntu@instance-IP

Replace path/to/ssh_key.pem with the path to your SSH key file and instance-IP with the public IP address of your instance.


Step 2: Navigate to http://instance-ip:8983. You will be redirected to the dashboard screen.

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    Amazon EC2 allows you to set up and configure everything about your instances from your operating system up to your applications. An Amazon Machine Image (AMI) is simply a packaged-up environment that includes all the necessary bits to set up and boot your instance. Your AMIs are your unit of deployment. You might have just one AMI or you might compose your system out of several building block AMIs (e.g., webservers, appservers, and databases). Amazon EC2 provides a number of tools to make creating an AMI easy. Once you create a custom AMI, you will need to bundle it. If you are bundling an image with a root device backed by Amazon EBS, you can simply use the bundle command in the AWS Management Console. If you are bundling an image with a boot partition on the instance store, then you will need to use the AMI Tools to upload it to Amazon S3. Amazon EC2 uses Amazon EBS and Amazon S3 to provide reliable, scalable storage of your AMIs so that we can boot them when you ask us to do so.

    Or, if you want, you don’t have to set up your own AMI from scratch. You can choose from a number of globally available AMIs that provide useful instances. For example, if you just want a simple Linux server, you can choose one of the standard Linux distribution AMIs.

    VPC endpoints enable you to privately connect your VPC to services hosted on AWS without requiring an Internet gateway, a NAT device, VPN, or firewall proxies. Endpoints are horizontally scalable and highly available virtual devices that allow communication between instances in your VPC and AWS services. Amazon VPC offers two different types of endpoints: gateway type endpoints and interface type endpoints.

    Gateway type endpoints are available only for AWS services including S3 and DynamoDB. These endpoints will add an entry to your route table you selected and route the traffic to the supported services through Amazon’s private network.

    Interface type endpoints provide private connectivity to services powered by PrivateLink, being AWS services, your own services or SaaS solutions, and supports connectivity over Direct Connect. More AWS and SaaS solutions will be supported by these endpoints in the future. Please refer to VPC Pricing for the price of interface type endpoints.

    No. You do not need an Elastic IP address for all your instances. By default, every instance comes with a private IP address and an internet routable public IP address. The private address is associated exclusively with the instance and is only returned to Amazon EC2 when the instance is stopped or terminated. The public address is associated exclusively with the instance until it is stopped, terminated or replaced with an Elastic IP address. These IP addresses should be adequate for many applications where you do not need a long lived internet routable end point. Compute clusters, web crawling, and backend services are all examples of applications that typically do not require Elastic IP addresses.

    Amazon EC2 security groups can be used to help secure instances within an Amazon VPC. Security groups in a VPC enable you to specify both inbound and outbound network traffic that is allowed to or from each Amazon EC2 instance. Traffic which is not explicitly allowed to or from an instance is automatically denied.

    In addition to security groups, network traffic entering and exiting each subnet can be allowed or denied via network Access Control Lists (ACLs).

    Amazon S3 is a simple key-based object store. When you store data, you assign a unique object key that can later be used to retrieve the data. Keys can be any string, and they can be constructed to mimic hierarchical attributes. Alternatively, you can use S3 Object Tagging to organize your data across all of your S3 buckets and/or prefixes.

    Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software. Once your database is up and running, Amazon RDS automates common administrative tasks such as performing backups and patching the software that powers your database. With optional Multi-AZ deployments, Amazon RDS also manages synchronous data replication across Availability Zones with automatic failover.

    Since Amazon RDS provides native database access, you interact with the relational database software as you normally would. This means you’re still responsible for managing the database settings that are specific to your application. You’ll need to build the relational schema that best fits your use case and are responsible for any performance tuning to optimize your database for your application’s workflow.

    When a minor version of a database engine is deprecated in Amazon RDS, we will provide a three (3) month period after the announcement before beginning automatic upgrades. At the end of the this period, all instances still running the deprecated minor version will be scheduled for automatic upgrade to the latest supported minor version during their scheduled maintenance windows.

    When a major version of database engine is deprecated in Amazon RDS, we will provide a minimum six (6) month period after the announcement of a deprecation for you to initiate an upgrade to a supported major version. At the end of this period, an automatic upgrade to the next major version will be applied to any instances still running the deprecated version during their scheduled maintenance windows.

    Once a major or minor database engine version is no longer supported in Amazon RDS, any DB instance restored from a DB snapshot created with the unsupported version will automatically and immediately be upgraded to a currently supported version.

    Highlights

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      Autocomplete and Suggestions: Solr can provide autocomplete functionality and search suggestions based on user input.

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      Synonyms and Stemming: You can configure synonyms and stemming rules to improve search accuracy.

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      Security Features: Solr provides various security features, including authentication and authorization options.

    Application Installed

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    • icon java
    • icon linux