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Blockchain Data Analytics For Dummies. Michael G. Solomon
Читать онлайн.Название Blockchain Data Analytics For Dummies
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isbn 9781119651789
Автор произведения Michael G. Solomon
Жанр Базы данных
Издательство John Wiley & Sons Limited
Find all transactions that invoked a specific smart contract function.
After you fetch the data you want, you can trace the transactions, calculating the value change (that is, keeping track of the Value and Transaction Fee fields) to find the information you’re looking for, such as a balance at a specific point.
Logging events on the blockchain
One of the more interesting aspects of blockchain data extends the information you can get from transactions. As mentioned, a transaction is the transfer of some value as a result of a smart contract function. Because the only way to create a transaction is to invoke a smart contract function, you can be sure that a transaction is the result of a function.
The previous statement may sound redundant, but it's extremely important. Smart contract functions can be simple or complex. As smart contracts become more complex, just knowing the function a transaction invoked, along with its input parameter values, isn’t always enough information to describe what’s going on. You need a way to record what happens inside transactions.
Go back to Etherscan and dig a little deeper into block 8976776’s transactions. Examine the same transaction in Figure 3-4 (block 8976776 -> Transaction list -> Fourth transaction in the list’s details). Click or tap the Event Logs tab at the top of the page. The Event Logs page shows a list of events that occurred during a smart contract function. Figure 3-9 shows the last two events for the current transaction.
FIGURE 3-9: Ethereum events in Etherscan.
Note that these events have names — LogTransfer() and LogOrderCancelled() — and parameters. Smart contract programmers use events to create messages that Ethereum logs and saves. Events make it easy to notify client applications that certain actions have taken place in a smart contract and also to store important information related to a transaction.
emit command invokes an event. Any time a programmer wants to send a message to the client or record an action, the emit statement invokes an event to do just that.
Most smart contract programmers use event names that describe the action. So we would expect that the LogOrderCancelled() event is present because an order was cancelled in the transaction. Smart contract programmers can create events anywhere in their code. The most common purpose of an event is to record the occurrence of an action, such as cancelling an order. The event parameters, orderHash and by, provide identifying information for the order that was cancelled and who cancelled it. Events take some effort to analyze but can yield interesting analysis data.
Storing value with smart contracts
The last main category of data associated with a blockchain is the state data. State data is the data that is most like traditional database data. Each smart contract can define one or more variables or structures to store data values. These values can include things such as highest order number (for an order entry contract) or a list of products (for a supply chain contract). State data make it possible to store data that contracts use each time one of their functions is invoked.
Although transaction data is stored in blocks on the blockchain, Ethereum stores state data not in blockchain blocks but in an external (off-chain) database. Each block stores a hash value that points to the root of that block's state trie in the off-chain database, which stores the block’s state data. Storing data using a trie structure makes it possible to query the trie for a value, and validate the integrity of that value, without having to read the entire trie.
Unlike blockchain data, state data can change. Each time a function in a smart contract runs, it may change the value of one or more state data items. The transaction that caused the change is stored in a block on the blockchain, and log entries may be created by events, but state data changes are stored in the off-chain database.
Examining Types of Blockchain Data for Value
Now that you know about the basic categories of data a blockchain stores, you can start to dig into what each type of data you’ll find might mean. Few hard-and-fast rules for storing data exist. Each smart contract sets its own rules for defining and maintaining the data it needs to do its work.
Exploring basic transaction data
Every transaction contains basic information about crypto-asset ownership and transaction cost. The From, To, and Value fields record, respectively, the account that owns the value at the start of the transaction, the account to which the value is transferred, and the amount or cost of the asset that is transferred by the transaction.
The Input Data field may contain additional information about the transaction. This data field is often very different from one transaction to another. When the To field of a transaction refers to a regular Ethereum account, the Input Data field may contain supporting or additional transaction details. In these cases, the transaction serves primarily to record a transfer of cryptocurrency from one account to another. If the To field contains the address of a smart contract, the Input Data field will contain information about the function that the transaction invokes and the data sent to the function.
Part of the challenge in extracting blockchain data for analysis is classifying and making sense of the input data. The blockchain analytics process is more than just reading data and building models.
Associating real-world meaning to events
Although transaction data can reveal what a client requested and what value was transferred, it doesn’t always provide many details of how the transaction played out. In other words, transaction data doesn’t provide more than summary information. If you want to explore details of what happened during a transaction, you’ll have to look elsewhere.
Because smart contract code can include complex calculations and data, it's often beneficial, and sometimes