Backfilling
Last updated
Last updated
Backfill offers an unprecedentedly swift method to sift through the entire history of the Solana blockchain to pinpoint and retrieve specific transactions necessary for your application. Imagine possessing the functionality of command-line tools like cat and grep, but supercharged to operate across our robust infrastructure. By harnessing our system, you can execute these operations without the overhead of significant resource consumption on your end. Combing through transactional data has never been more efficient, saving time and computational expense, ensuring that you can focus on what matters most—analyzing the data, not struggling to acquire it.
The Backfiller role constitutes a fundamental component of the DH3 ecosystem, designed to facilitate the backfilling of historical data within user-generated datasets and their subsequent reconstruction or enhancement. Our aim is not to constrain innovation by supplying predefined or ready-made datasets. Rather, we dedicate significant resources to empowering users to define the structure and application of data according to their unique requirements and creative vision.
Developers who wanna go beyond traditionally served data sets which mostly cover NFTs and Tokens with their trading-related info usually end up writing some private data pipelines, burning RPC requests on raw data retrieval, writing binary structure parsers, and so on... It can end up as a costly process not only from a money perspective but also from burning tons of time and missing other opportunities along the way.
save time and resources on raw data collecting
no need to learn and allocate resources for transaction data parsing
no need for fancy infrastructure to scan fast through raw data
Currently, backfilling streams all matched and parsed data to your HTTP endpoints and you just need to have a web server and backend for data storage. In feature releases alongside GUI for building data sets, we will introduce the ability to design and store data sets fully on the DH3 data providers' side.
For developers seeking to extend their reach beyond the conventional data sets largely comprising NFTs and Tokens, along with their associated trading information, the journey can often involve the arduous task of establishing private data pipelines. This typically entails a significant expenditure of resources towards raw data retrieval, development of binary structure parsers, and an array of additional complexities. Such endeavors not only incur substantial financial costs but also demand extensive time investment, potentially diverting attention from other valuable opportunities.
Streamline Data Collection Processes: Eliminate the need for exhaustive raw data collection efforts.
Simplify Transaction Data Parsing: Forego the necessity to invest in learning and resource allocation for transaction data parsing.
Minimize Infrastructure Requirements: Avoid the complexity of developing sophisticated infrastructure to rapidly navigate through raw data.
The current implementation of the backfilling API efficiently delivers all matched and parsed data directly to your HTTP endpoints, requiring only the presence of a web server and a backend for data storage on your part. Future updates will further enhance user experience by introducing a graphic user interface (GUI) for data set construction, coupled with the provision for designing and storing data sets entirely through DH3 data providers.