Download JAR files tagged by rdbms with all dependencies

A lightweight, fast and simple data mapper library in Kotlin that helps to map the result of queries from your normalized dataset(from RDBMS, SQLite, CSV or any source) back into relational mapped Hash maps

A lightweight, fast and simple data mapper library in Kotlin that helps to map the result of queries from your normalized dataset(from RDBMS, SQLite, CSV or any source) back into relational mapped Hash maps

`jdbc-json-extension` is to fetch data from RDBMS in JSON format. The data is structured the in the same relation structure of the Tables relationships in the database. The fetch is pre-planned using a `FetchPlan` configuration. The execution is multithreaded tree pattern where it starts from the `root` table with supplied filter parameters. The subsequent nodes (tables) are fetched as the `One-to-*` relationship defined from the root tables.

With distributed systems being developed as a part of the cloud age. With focus on performance associated with an application dependent on one DB instance, there is a need to bring down the dependency to a database to generate unique numbers for creating a private key when lots of data needs to be stored in the database tables. This library is intended to provide a way of generating unique numbers on the fly in a JAVA based distributed system. This is not a new concept but this library helps in keeping you focused on the business logic that you need to develop for your applications rather than spending time on how this is done. Typically applications powered by RDBMS can leverage the benefit as instant scalability might not be available for these setups when the load to the system spikes.

ToroDB is an open source project that turns your RDBMS into a MongoDB-compatible server, supporting the MongoDB query API and MongoDB's replication, but storing your data into a reliable and trusted ACID database. ToroDB currently supports PostgreSQL as a backend, but others will be added in the future. ToroDB natively implements the MongoDB protocol, so you can use it with MongoDB tools and drivers, and features a document-to-relational mapping algorithm that transforms the JSON documents into relational tables. ToroDB also offers a native SQL layer and automatic data normalization and partitioning based on JSON documents' implicit schema.

Idaithalam is a low code Test automation Framework, developed using Java and Cucumber. It leverages Behavior Driven Development (BDD). Tester can create test cases/scripts in simple Excel with API Spec. Excel is a simplified way to create Json based test scripts in Idaithalam. Test cases can be created quickly and tested in minutes. As a tester, you need to create Excel and pass it to Idaithalam Framework. First, generate the Json based test scripts(Virtualan Collection) from Excel. During test execution, this test script collection can be directly utilized. Then it generates Feature files from the Virtualan Collection and its executed. Lastly, It generates test report in BDD/Cucumber style. This provide complete testing support for REST APIs, GraphQL, RDBMS DB and Kafka Event messages #idaithalam #apitesting #testautomation #restapitesting #insprintautomation #rdbmstesting #graphqltesting #kafkamessagetesting #eventvalidation #messagevalidation #cucumber #bdd Virtualan Collection is a JSON based TestScripts generated from Excel API testing can be automated using Excel, POSTMAN collection and VIRTUALAN - Utilized for API testing. - Utilized Contract testing. - Utilized Production Checkout. - Agile Testing - Progressive Regression can be done for each sprint. Reduce lot of manual effects.