firestore-patterns

Structure Firestore read and write operations for user profiles using standardized patterns across the users/{walletAddress} collection. These patterns utilize Firestore SDK methods with address normalization and merge behavior to ensure data consistency when accessing user profile documents.

Query airdrop registration data in Firestore by applying specific query patterns to the airdrop/registrations/{address} collection. These patterns provide concrete examples for filtering registrations and applying limits using standard Firestore SDK methods to retrieve targeted airdrop entries.

Merge behavior and serverTimestamp ensure Firestore data consistency by preventing overwrite conflicts during write operations. Using merge semantics updates specific document fields without replacing the entire document, while serverTimestamp securely records the server's time for analytics events.

You can use these Firestore patterns for analytics event tracking within the analytics/events/{eventId} collection. The patterns standardize data access pipelines, ensuring consistent writes and reads for analytics events across your NuxChain application using the Firestore SDK.

You need to normalize wallet addresses before writing to Firestore to maintain reliable data consistency. The provided write patterns explicitly incorporate address normalization for documents stored in the users/{walletAddress} and airdrop/registrations/{address} collections.

Check document existence in a Firestore read pattern when retrieving user profiles or registration data to prevent null reference errors. The read patterns demonstrate checking document existence prior to returning data from collections like users/{walletAddress}.