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Log Collector:
- Purpose: Collect logs from various sources (files, stdout, etc.).
- Components:
- File Watcher
- Log Parser
- Log Shipper
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Log Storage:
- Purpose: Store logs in a scalable and queryable format.
- Components:
- Database Schema
- Database Connection
- Log Inserter
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Query Interface:
- Purpose: Provide an interface to query and visualize logs.
- Components:
- HTTP Server
- Query Endpoints
- Query Engine
- Create a new Rust project using
cargo new log_aggregator. - Add necessary dependencies to
Cargo.toml(e.g.,notify,serde,diesel,actix-web).
- Implement a file watcher to monitor log files for changes.
- Create a log parser to convert raw log data into a structured format.
- Develop a log shipper to send parsed logs to the storage component.
- Design a database schema for storing logs.
- Implement database connection logic.
- Create a log inserter to save logs into the database.
- Set up an HTTP server using
actix-web. - Define query endpoints to retrieve logs based on criteria (e.g., timestamp, level).
- Implement a query engine to execute queries against the log storage.
- Integrate all components and ensure they work together seamlessly.
- Write unit tests for each component.
- Perform load testing to ensure the system can handle high log volumes.
- Document the code and architecture.
- Optimize performance bottlenecks.
- Implement security measures for query endpoints and log storage.
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File Watcher:
- Monitors log files for changes.
- Uses the
notifycrate to watch for file events.
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Log Parser:
- Parses raw log data into a structured format (e.g., JSON).
- Uses the
serdecrate for serialization.
-
Log Shipper:
- Sends parsed logs to the storage component.
- Handles retries and error logging.
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Database Schema:
- Defines tables and columns for storing logs.
- Example:
logstable with columnsid,timestamp,level,message.
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Database Connection:
- Establishes a connection to the database.
- Uses the
dieselcrate for ORM.
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Log Inserter:
- Inserts parsed logs into the database.
- Handles batch inserts for better performance.
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HTTP Server:
- Sets up an HTTP server using
actix-web. - Defines routes for querying logs.
- Sets up an HTTP server using
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Query Endpoints:
- Endpoints to retrieve logs based on criteria.
- Example:
/query?level=INFO&start=2023-10-01T00:00:00Z&end=2023-10-01T23:59:59Z.
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Query Engine:
- Executes queries against the log storage.
- Returns results in a structured format (e.g., JSON).
Building a log aggregator from scratch is a complex task, but breaking it down into manageable components and following a structured plan will help you succeed. Good luck with your project!