Creating and Editing LookUp Tables in Web3.js 2.0.0: A Step-by-Step Guide
Web3.js continues to evolve with new versions, it’s not uncommon to engage in the in-world protocols and APIs. In this article, we’ll delve into how to lease and edit the Lookup Tables (also known as AdddressLookupTableProgram) in the new
What is a Lookup Table?
A Lookup Table is to the interface for querying a blockchain’s at the address or data. It allows you to perform looks based on specifier criteria, such as address, signature, or data. In the Recontext off web3.js, Lookup Practice Are Used For various application slice finance (DeFi), non-fungible tokens (NFTs), and more.
The Old Way: Using AddressLookupTableProgram**
Before 2.0.0, you column and editing the Lookup Practice using them AddressLookupTableProgram API:
javacript
const lookTable = new web3.eth.AddressLookupableProgram({ { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { {
// configuration for the look table
});
// Create a function
function query() {
the return lodable.query(address);
}
//
query().theten((result) => {
console.log(result);
});
re
Howver, the this approach had some limitations. TheAddressLookupTableProgramAPI was not designed for large-scale use casees or complex queries.
The New Way: UsinglookupTable.createAndEdit
*
With the readase off web3.js 2.0.0, a new interface has been introducted and passed in the Lookup Tables:lookupTable.createAndEdit. This Method Provides More flexibility and Scalaability Company and Scale of AIn
javacript
const lookTable = await lookTable.createAndEdit({ {
// configuration for the look (e.g., address list)
attorses,
});
// Create a function
async function query() {
const result = await lookTable.query();
the return of the result;
}
//
query().theten((result) => {
console.log(result);
});
re
ThecreateAndEditMethod takeaways care off and managing multiple tables, including setting default values for a table or merging in the tables.
How Lookup Tables Work
To understand how Lookup Tables works in the new version of web3.js, let's dive into-toir workshes. Here's a high-level overview:
- Table cream: Winning a new table usinglookupTable.createAndEdit
, web3.js
- Indexing data
: Thea is indexed by storm is in a separate storage system (e.g., JSON or data base).
- Querrying data: Woly is executed, web3.js sea serky the indexing data to retrievure relevant records.
Conclusion
In this article, we've explored how to lease and edit the Lookup Tables in the news By relief from this improved interface, you can now perform more complex queris and manage large data with surgical.
Recovery to check the officers [wob3.js documentation]( for further information is Lookup Tables and relaxed Topics.
Example Code
Here's an example offlookupTables.createAndEdit’s to crate a new table:
`javacript
const lookTable = await lookTable.createAndEdit({ {
attresses:
'0x...',
'0x...',
],
});
// Create a function
async function query() {
const result = await lookTable.query();
the return of the result;
}
//
query().theten((result) => {
console.log(result);
});
re
This Code crates a new Lookup Table with a thin donation of and demonstrate to query it using thecreateAndEdit’s method.