What is the primary method for monitoring bad query performance in HANA?

Analyzing execution plans and using performance trace analysis is the primary method for monitoring bad query performance in HANA because it allows database administrators to understand how queries are being executed. Execution plans provide detailed insights into the steps the database takes when processing a query, highlighting potential bottlenecks or inefficiencies. This granular examination can reveal issues such as missing indexes, suboptimal join methods, and excessive resource usage.

Performance trace analysis complements this by tracking query execution in real-time, identifying long-running queries, high resource consumption, and other performance-related metrics. This combination allows administrators to diagnose performance problems effectively and make informed decisions about optimization strategies.

Other methods, while useful, do not provide the same level of insight specifically into query performance. For instance, reviewing user access logs and monitoring server load can indicate overall system health but do not directly pinpoint the reasons for poor query performance. Automated query optimization scripts might help improve performance but do not offer the diagnostic capabilities necessary to understand why a specific query is performing poorly. Increasing memory allocation can alleviate some performance issues but doesn't address the underlying causes of inefficient queries. Thus, the analysis of execution plans and performance traces is the most direct and informative approach for monitoring and resolving bad query performance in HANA.