Beyond cryptocurrency tokens, the blockchain likewise allows analysts to get a clearer photo of virtually any GameFi job, NFT, market, or DeFi protocol, thanks to Footprint.At Footprint,
we’ve produced an approach that puts together and meaningfully aggregates the raw blockchain data. And this applies to configuring integrations.1. Ways to deal with the blockchain data
Let’s very first discuss programming combination techniques. There are a few different ways to work with blockchain data, and your chosen method will depend on your specific needs and objectives. Here is a fast introduction:
=”https://pandoraland.info/wp-content/uploads/2023/01/1-4.png 684w, https://cryptoslate.com/wp-content/uploads/2022/12/1-4-300×155.png 300w”data-sizes=” (max-width: 684px)100vw, 684px”> 1.1 Blockchain explorers A blockchain explorer is a website or tool that enables you to view the data saved on a blockchain. This can be a fast and easy method to gain access to info about specific transactions
- , blocks, and other information on the blockchain.Blockchain explorers can be a beneficial tool for accessing and viewing data stored on a blockchain, however they do have some limitations for software application integrations. Here are a few examples of things that blockchain explorers might do not have: Mainly focused on raw information. Blockchain explorers usually display raw data from the blockchain.
- That needs carrying out the abstractions over the raw information, which can be tiresome, especially for tasks focused on shipment rather than on the technical details of specific blockchains.Customization choices: Blockchain explorers are generally created to be easy to use and easy to use, which indicates they might not
- provide many modification alternatives. This can make it challenging to customize the explorer to your particular needs or preferences.Advanced search functionality: Blockchain explorers frequently have standard search functionality however might not support more advanced search functions such as Boolean operators or routine expressions. This can make it challenging to look for particular information on the blockchain.Interactivity: Many blockchain explorers are essentially read-only tools.While blockchain explorers can be a practical method to gain access to and view blockchain raw data, they do have some restrictions that you must be aware of before deciding to execute your option facilities based on them. 1.2 Own indexing service Setting
up your own indexer to work with blockchain information can have several benefits and prospective downsides. Here are a few examples of each: Advantages: Customization: When you set up your indexer, you have complete control over how the data is indexed and accessed. This can allow you to tailor the indexer to your particular needs and preferences.Independence: By establishing your indexer, you are not relying on a third-party service to keep and update the index. This can supply higher control and flexibility in your work with blockchain data.Improved security: When you set up your own indexer, you can implement your own security steps to safeguard the data and avoid unapproved access.Disadvantages: Complexity: Setting up your indexer can be a complex and lengthy procedure
, specifically if you are new
if this is the right approach.1.3 Database as a service Utilizing a third-party indexer to deal with blockchain data can have a number of benefits and possible drawbacks. Here are a couple of examples of each: Advantages: Ease of usage: Third-party indexers are typically designed to be simple to use, which means you can begin dealing with the blockchain data rapidly and without having to learn a great deal of technical details or running your custom indexing service(doesn’t matter whether it is self-developed or a ready-made SDK)Advanced search functionality
to construct ingenious and useful applications that can benefit from blockchain technology’s unique functions and capabilities.1.5 Footprint Analytics Relieve of usage and flexibility is made sure by our data organization, which affects all aspects of interactions with the Footprint ecosystem. Footprint has an API built
on top of this data model that allows users to develop full-fledged information pipelines for data analysis and machine learning applications. We call it a Data API. We are at the same time supporting 2 types of API and 2 sub-types within among them to cover the majority of the cases: Rest API and SQL API.REST API allows us to quickly incorporate an application considering that each endpoint is a pre-built, hard-coded script that we have actually recognized as one of the most popular.
All endpoints feature easy-to-use tools for filtering, sorting, and pagination. Thanks to the SQL API’s more versatile interface, you can obtain this for more particular cases. One benefit of utilizing the exact same SQL inquiries in both the web application and the API is that it can simplify development and upkeep. By utilizing the exact same queries in both interfaces
, designers can prevent the need to compose and preserve different sets of questions for the web application and the API. This can save time and effort and minimize the threat of mistakes or inconsistencies in between the two interfaces. Additionally, utilizing the exact same SQL queries in both the web application and the API can make it simpler for designers to develop a smooth user experience. By using the very same questions, designers can ensure that the data accessed and manipulated by the web application and the API is consistent, enabling users to switch between the 2 user interfaces without experiencing any disparities or interruptions. 1.6 Other platforms Lots of alternative analytics solutions enable the user to examine different networks according to various levels of requirements. Nevertheless, for the most part, alternative solutions tend to go to extremes, carrying out either a really flexible item that needs understanding of query languages and even configuring languages or an extremely simple user interface with prepared scripts and, appropriately, low
flexibility.Solutions like Moralis and Quicknode only have a REST API interface. Even though there are many endpoints, it still restricts the developer in the flexibility of the information returned.Dune has recently introduced its API. This asynchronous solution indicates the initial existence of an inquiry on the platform under a specific id( dune.com/query/ ), by which it is possible to execute queries in the kind of SQL. The key limitation of this service is the requirement to pre-modify the SQL on the platform so that the updated inquiry is consequently executed.Chainbase releases SQL API in the very same way as Footprint. Still, unlike Footprint, Chainbase does not have such advanced ETL, so SQL queries
can just be executed for raw deals.2. Scalability Blockchain APIs must have the ability to handle large volumes of data and transactions, enabling designers to construct applications that can be utilized by many users at the same time. 2.1 Footprint Analytics 2.1.1 Modern open data stack The Footprint team has made a number of architectural upgrades because its launch in August 2021, thanks to its strong ability to check out and iterate on technology. In less than a year and a half, the team has actually
been able to execute these modifications effectively. This is a testimony to the team’s skill and proficiency in innovation and information science.Through experimentation, Footprint iteratively made 3 international architectural
updates, eventually arriving at an architecture that fulfills the requirements of the platform’s various use cases. More information on the advancement of the execution can be found in the next article: https://www.footprint.network/article/iceberg-spark-trino-a-modern-opensource-data-stack-for-blockchain-fp-HGZpPm3D!.?.! 2.1.2 Sync and async executions Within Footprint, there are 2 modes for executing inquiries to the SQL
API– synchronous and asynchronous. API calls to the synchronous endpoint suggest the SQL inquiry will be carried out by the Footprint servers as quickly as an HTTP demand is received from the application, therefore maintaining the connection. This makes sense when utilizing lightweight requests, as in this case, the application does not need to wait long for execution.
The details can be discovered on the following page: https://docs.footprint.network/reference/post_native!.?.!For heavy demands, it is recommended to utilize an asynchronous request. Unlike a synchronous one, the customer application does not have to maintain a connection with the server during execution. Rather, it can get the request-id immediately, according to which, after a long time, individually get the execution results. As part of the asynchronous API, two-step ought to be covered to bring the data– the following endpoint will be utilized to send an”order”for SQL execution: https://docs.footprint.network/reference/post_native-async!.?.!The 2nd action is to send a demand to get outcomes by the identifier gotten when accessing the previous endpoint. The endpoint for this 2nd step is described on the following page: https://docs.footprint.network/reference/get_native-execution-id-results!.?.!2.2 Other services DuneV2 alters the whole database architecture. Dune is now transitioning away from a PostgreSQL database to an Instance of [[ Apache Spark]] hosted on [[ Databricks]] Only asynchronous API.3. Compatibility Blockchain APIs should be compatible with a wide range of programming languages and development environments so that designers can utilize the tools and frameworks they are most familiar with.REST is simpler to integrate given that each programming language has
lots of libraries that supply comfortable deal with this kind of API. However, in the end, both SQL APIs and REST work over HTTP, so the development experience is practically similar relating to sending a request by default.4. Summary As we have examined, for the most part, it suffices for an application to utilize ready-made DaaS services for the reason that they can return abstractions(not just raw data) and conserve a lot of time and money, as they ultimately permit groups to focus not on infrastructure but on the value of the item. Going through different services in the DaaS market, Footprint appears to be the most optimal to integrate, as it has the most flexible model for creating demands while being both simple to use and also having the modern open-source data stack under the hood, which ensures continuous and, most significantly, fast execution of the most complex requests.Posted In: Analysis, Web3
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