Blockchain Indexing via Bytecode Segregation and Selective Parsing
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Solution Overview
Problem
Conventional blockchain systems face challenges in efficiently accessing and indexing the state of a blockchain due to the lack of a query language, the sequential nature of blocks, and the inability to index all information in one block, leading to significant time and resource commitments.
Innovation Solution
The system retrieves bytecode for blockchain operations, segregates it into constructor arguments, code sections, and metadata, and then parses these portions to identify bytecode representations based on function signatures, event signatures, token standards, and contract addresses, allowing for the identification of unindexed parameters and contract addresses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional indexing applications fetch and process all raw blockchain data, then complete blockchain state information is obtained, but significant time and resource commitments are required
Solution Approach 1:
The patent extracts only the necessary bytecode representations (function signatures, event signatures, token standards, contract addresses) from the raw blockchain data during indexing, rather than processing and storing all raw data. This selective extraction reduces the amount of data that needs to be processed and stored, thereby reducing indexing time and resource consumption while still obtaining complete blockchain state information.
Solution Approach 2:
The patent segments bytecode into distinct components (constructor arguments, code sections, metadata) and further identifies specific bytecode representations within these segments. By organizing data into structured segments rather than processing raw data as a whole, the system efficiently locates and indexes only the relevant information, reducing overall processing time and resource requirements.
2Loss of information
If conventional indexing applications process all raw blockchain data, then all information is indexed, but resource commitments increase significantly
Solution Approach 1:
The system extracts only essential bytecode representations from raw blockchain data during the indexing process. Instead of processing and storing all raw data, the indexer identifies and extracts specific elements such as function signatures, event signatures, token standards, and contract addresses. This selective extraction significantly reduces computational resources required while ensuring all necessary blockchain state information is captured.
Solution Approach 2:
The patent applies partial action by indexing only the necessary portions of blockchain data (bytecode representations) rather than processing excessive amounts of raw data. The system performs just enough processing to identify and extract relevant bytecode elements, avoiding unnecessary computational overhead while maintaining complete indexing coverage.
3Reliability
If the sequential nature of blocks is maintained, then blockchain integrity is preserved, but gathering historical information requires querying numerous previous blocks
Solution Approach 1:
The patent applies preliminary action by pre-processing and extracting bytecode representations from blockchain data during the initial indexing phase. Instead of querying numerous previous blocks at query time to gather historical information, the system has already organized and stored the essential bytecode representations in an optimized structure. This preliminary organization enables fast retrieval of historical information while maintaining blockchain integrity through the sequential block structure.
4Ease of manufacture
If conventional token standards are used for indexing, then standard parameters are indexed, but additional parameters and token contract addresses remain unindexed
Solution Approach 1:
The patent enhances the indexing system's universality by extending it to handle not only conventional token standard parameters but also additional parameters and token contract addresses. The bytecode parsing mechanism is designed to identify multiple types of information (function signatures, event signatures, various token standards, contract addresses) within a unified indexing framework, making the system multi-functional and capable of indexing diverse blockchain data types without requiring separate indexing processes.
Data Source
AI summary
Methods and systems for parsing and identifying unindexed parameters and other information (e.g., a token contract address) that may appear encoded in event data. Specifically, the system may retrieve bytecode for an identified blockchain operation (e.g., a transaction). The system may then segregate the bytecode into constructor arguments, code sections, and/or metadata. The system may then parse the segregated portions of bytecode for bytecode representations that are based on function signatures, event signatures, token standards, and/or contract addresses. In some embodiments, the system may further narrow the pool of known bytecode representations that are compared against the remaining sections of bytecode based on bytecode representations corresponding to a particular type of blockchain network standard.