Impala SQL Agent
The Impala SQL Agent is a specialized component that enables natural language interaction with Apache Impala databases, providing intelligent query generation and data analysis capabilities optimized for Hadoop environments.

Impala SQL Agent interface and configuration options
Configuration Parameters
Required Parameters
- Language Model: The AI model for processing
- Host: Impala server hostname
- Port: Impala server port
- Database: Target database name
- Authentication: Authentication credentials
Optional Configuration
- Query Options: Query settings
- batchSize: Batch size for results
- timeout: Query timeout
- memLimit: Memory limit
- Performance: Performance settings
- parallelism: Query parallelism
- resourcePool: Resource pool
- queueSize: Query queue size
- Security: Security options
- ssl: SSL configuration
- kerberos: Kerberos settings
Output Format
{ "result": { "query": { "sql": string, "parameters": object }, "data": { "columns": array, "rows": array, "rowCount": number }, "metadata": { "executionTime": string, "bytesScanned": number, "queryProfile": object } } }
Example Usage
const impalaSQLAgent = new ImpalaSQLAgent({ languageModel: "gpt-4", host: "impala.example.com", port: 21050, database: "analytics", authentication: { username: process.env.IMPALA_USER, password: process.env.IMPALA_PASSWORD }, queryOptions: { batchSize: 1000, timeout: 300, memLimit: "4GB" }, performance: { parallelism: 8, resourcePool: "default", queueSize: 100 }, security: { ssl: { enabled: true, verify: true }, kerberos: { principal: "impala/host@REALM", keytab: "/path/to/keytab" } } }); const result = await impalaSQLAgent.process({ input: "Show monthly revenue trends by product category" });
Additional Resources
Best Practices
- Use appropriate memory limits
- Optimize query parallelism
- Enable result caching
- Monitor resource usage
- Implement security best practices