hologres-diagnosis-memory

To diagnose Hologres OOM events and memory spikes, analyze cloud monitoring metrics and query logs. This identifies memory anomalies across query, data skew, and backend systems to produce a structured remediation report.

Identifying data skew causing memory leaks in Hologres involves running phased macro memory level analysis. It determines whether issues are global highs or local skews, guiding targeted diagnostic paths for remediation.

Yes, the Hologres memory diagnosis process requires hologres-cli. It relies on this tool for data access, metric queries, and internal tools, requiring appropriate permissions to read memory metrics and system tables.

Start memory anomaly diagnosis by obtaining the metric prefix with hologres instance-manage get. Then follow guided steps to collect metrics, run queries, and generate a structured Markdown report for remediation.

Internal tools used for Hologres memory analysis include OOM, Jeprof, and Coredump utilities. These assist deep investigation alongside parallel screening of query, write/backend, and metadata systems.

Hologres instance memory staying high and not falling back indicates a persistent memory leak or backend issue. Diagnose this by classifying memory usage and deep diving into write/backend or system metadata paths.