Note:
This topic has been translated from a Chinese forum by GPT and might contain errors.
Original topic: 【TiDBer 唠嗑茶话会 58 】你觉得 AI + SQL / AI + TiDB 有哪些玩法~
Recently, the emergence of ChatGTP has sparked a wave of excitement, and artificial intelligence is starting to capture people’s attention. More and more products are integrating with AI. So today, I want to ask everyone what you think about the potential uses of AI + SQL / AI + TiDB? For example, it could be combined for data management, improving data quality, and simplifying database management operations. What do you think? Let’s discuss together!
This Topic:
What do you think are the potential uses of AI + SQL / AI + TiDB?
Participation Reward:
Participate in this topic discussion to earn 30 points~
Event Duration:
2023.2.10-2023.2.17
By leveraging AI’s learning capabilities, we can optimize the CBO intelligent selection module, dynamically adjust load, determine the best host for TiDB regions, perform SQL physical and logical optimization, implement intelligent garbage collection mechanisms, and achieve self-maintenance for TiDB.
SQL syntax, syntax conversion between different databases, and some basic knowledge as well!
AI automated operations, simple requirements converted to executable SQL.
Simple requirements are directly sent as examples, knowledge points are automatically pushed, questions are automatically categorized, and documentation is guided.
Integrate the database diagnostic system and enable intelligent operations and maintenance
For example: scaling in and out, hotspot resolution, issue reporting and analysis, optimization guidance…
Common operation, directly obtain SQL
SQL automatic optimization, index optimization
Automatic fault analysis and assistance in handling.
Automatic database failure analysis, AI automatically retrieves basic operation commands, SQL statement optimization suggestions.
AI operations, automatically optimizing system parameters based on actual load and hardware configuration.
SQL automatic optimization, natural language to optimal SQL
Performance optimization.
SQL performance optimization, server runtime parameter optimization, etc.
Automated operations, optimization suggestions, and even automated tuning, etc.
Use it as a data warehouse for data governance.
Database new feature testing.