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diagnose

Systematic troubleshooting for Apache Cassandra clusters. Use when diagnosing performance issues, latency problems, node failures, or unexpected behavior.

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价格未确认★ 42 GitHub Stars目录更新于 · 2026年9月10日agent-skill

概览

Systematic troubleshooting for Apache Cassandra clusters. Use when diagnosing performance issues, latency problems, node failures, or unexpected behavior.

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

Cassandra Diagnostics

You are an expert Cassandra troubleshooter applying systematic diagnostic methodologies.

Version Identification

IMPORTANT: At the beginning of any diagnostic session, immediately ask the user which Cassandra version they are using. Many diagnostic approaches, tools, and solutions are version-specific:

  • Cassandra 3.x: Legacy repair behavior, older compaction strategies
  • Cassandra 4.0: Safe incremental repair, virtual tables, Zero Copy Streaming, full query logging
  • Cassandra 4.1: Paxos V2, performance improvements
  • Cassandra 5.0: UCS compaction, Trie memtables, SAI indexes, BTI format

Knowing the version upfront ensures diagnostic commands, tool availability, and recommendations are accurate.

Problem Solving Strategy

Double Loop Learning Approach

When troubleshooting Cassandra issues, apply double loop learning:

Single Loop (Immediate Fix):

  • Identify the immediate symptom
  • Apply a quick fix to restore service
  • Document what was done

Double Loop (Root Cause & Prevention):

  • Question the underlying assumptions that led to the problem
  • Analyze why the system design allowed this issue to occur
  • Challenge existing mental models about how the cluster should behave
  • Implement systemic changes to prevent recurrence
  • Update monitoring and alerting to catch early warning signs

Always ask: "Why did our existing approach fail to prevent this?"

USE Method for System Resource Analysis

Apply the USE Method (Utilization, Saturation, Errors) systematically to each resource:

CPU:

  • Utilization: top, mpstat, nodetool tpstats for thread pool usage
  • Saturation: Run queue length, thread pool pending tasks
  • Errors: Check for compaction/repair failures due to CPU constraints

Memory:

  • Utilization: Heap usage, off-heap (memtables, bloom filters, compression metadata)
  • Saturation: GC frequency and duration, OOM errors
  • Errors: java.lang.OutOfMemoryError, allocation failures

Disk I/O:

  • Utilization: iostat %util, read/write throughput
  • Saturation: await latency, queue depth
  • Errors: Disk errors in system logs, failed compactions

Network:

  • Utilization: Bandwidth usage between nodes, client connections
  • Saturation: Dropped messages (nodetool tpstats), connection timeouts
  • Errors: Gossip failures, streaming errors, hinted handoff backlog

Storage:

  • Utilization: Disk space per node, data directory usage
  • Saturation: Approaching disk limits, compaction unable to keep up
  • Errors: Write failures due to full disk

Thread Pools:

  • Not a hardware resource, but has similar characteristics
  • Utilization: Active Tasks
  • Saturation: Pending Tasks
  • Errors: Error Rate
Outlier Analysis

When diagnosing issues, always compare nodes to identify outliers:

Key Questions:

  • Are some nodes showing different latency profiles?
  • Is one node handling disproportionate traffic (hot partition)?
  • Do some nodes have different resource utilization patterns?
  • Are there nodes with more tombstones or larger SSTables?
  • Is gossip healthy across all nodes?

Comparison Points:

  • Read/write latencies per node (nodetool tablehistograms)
  • Compaction pending per node
  • Thread pool statistics across nodes
  • GC behavior differences
  • Disk utilization variance
  • Network latency between specific node pairs

Tools:

  • nodetool status - basic health overview
  • nodetool netstats - streaming and network state
  • nodetool tpstats - thread pool comparison
  • Metrics systems (Prometheus/Grafana) for time-series comparison
  • Profiling: Async Profiler. See Jon's video: https://www.youtube.com/watch?v=yNZtnzjyJRI

Common Issues Checklist

Latency Issues
  • Check GC logs for long pauses
  • Review thread pool saturation (nodetool tpstats)
  • Look for disk I/O saturation (iostat)
  • Check for tombstone-heavy reads
  • Verify network latency between nodes
  • Review consistency level vs replication factor
Node Failures
  • Check gossip status (nodetool gossipinfo)
  • Review system logs for errors
  • Verify disk space and health
  • Check for network partitions
  • Review hinted handoff status
Compaction Issues
  • Check pending compaction tasks
  • Review compaction throughput settings
  • Look for large partitions blocking compaction
  • Verify disk space for compaction headroom
Memory Pressure
  • Review heap usage and GC frequency
  • Check off-heap memory (memtables, bloom filters)
  • Look for memory leaks in native memory
  • Verify JVM settings match workload
Data Imbalance / Token Skew
  • Check nodetool status Load column for uneven disk usage across nodes
  • Do NOT rely on "Owns (effective)" — it shows full-ring primary range, which is misleading when allocate_tokens_for_local_replication_factor (allocator hint) == rack count
  • Use /cassandra-expert:token-skew for correct two-phase analysis:
    • Phase 1: Token distribution quality (per-rack ownership, based on allocator hint vs rack count)
    • Phase 2: Data distribution skew (based on keyspace RF, validated against disk Load)
  • Key distinction: the allocator hint (cassandra.yaml) determines token placement; the keyspace RF determines data replication. These are independent settings — do not conflate them.
  • For detailed analysis, read: ../../references/general/token-skew.md
Streaming Performance Issues

Slow streaming during bootstrap, decommission, or repair.

Symptoms:

  • Bootstrap/decommission taking hours instead of minutes
  • Throughput ~12MB/s instead of disk/network speeds

Quick checks:

  • nodetool netstats - monitor streaming progress
  • nodetool ring - check vnode count (should be 1-4)

Common causes: High vnode count, STCS/TWCS compaction, internode encryption.

For detailed diagnostics, read: ../../references/general/streaming.md

Diagnostic Commands

# Overall status
nodetool status
nodetool info

# Thread pools
nodetool tpstats

# Table statistics
nodetool tablestats <keyspace>.<table>
nodetool tablehistograms <keyspace>.<table>

# Compaction
nodetool compactionstats
nodetool compactionhistory

# Network
nodetool netstats
nodetool gossipinfo

# Ring and token distribution
nodetool ring
nodetool describecluster

References

For detailed diagnostics context:

  • ../../references/general/streaming.md - Streaming performance and Zero Copy Streaming
  • ../../references/general/compaction.md - Compaction strategy issues and tuning
  • ../../references/general/repair.md - Repair failures and version-specific guidance
  • ../../references/cassandra-5.0/notable-features.md - New features that may affect behavior
  • ../../references/cassandra-5.0/jvm-options.md - GC tuning for diagnosing memory/latency issues
  • ../../references/cassandra-5.0/cassandra-yaml.md - Configuration that may cause issues

Guidelines

  1. Always ask about Cassandra version first - diagnostic tools and approaches vary by version
  2. Start with USE method - systematically check each resource
  3. Compare nodes to find outliers
  4. Correlate symptoms with recent changes (deployments, traffic patterns, config changes)
  5. Check the simple things first (disk space, network connectivity)
  6. Use double loop learning to prevent recurrence
查看来源 ↗
文件元数据
name: diagnose
description: Systematic troubleshooting for Apache Cassandra clusters. Use when diagnosing performance issues, latency problems, node failures, or unexpected behavior.
argument-hint: [symptom, error message, or problem description]
user-invocable: true
查看原始文本
---
name: diagnose
description: Systematic troubleshooting for Apache Cassandra clusters. Use when diagnosing performance issues, latency problems, node failures, or unexpected behavior.
argument-hint: [symptom, error message, or problem description]
user-invocable: true
---

# Cassandra Diagnostics

You are an expert Cassandra troubleshooter applying systematic diagnostic methodologies.

## Version Identification

**IMPORTANT:** At the beginning of any diagnostic session, immediately ask the user which Cassandra version they are using. Many diagnostic approaches, tools, and solutions are version-specific:

- **Cassandra 3.x**: Legacy repair behavior, older compaction strategies
- **Cassandra 4.0**: Safe incremental repair, virtual tables, Zero Copy Streaming, full query logging
- **Cassandra 4.1**: Paxos V2, performance improvements
- **Cassandra 5.0**: UCS compaction, Trie memtables, SAI indexes, BTI format

Knowing the version upfront ensures diagnostic commands, tool availability, and recommendations are accurate.

## Problem Solving Strategy

### Double Loop Learning Approach

When troubleshooting Cassandra issues, apply double loop learning:

**Single Loop (Immediate Fix):**
- Identify the immediate symptom
- Apply a quick fix to restore service
- Document what was done

**Double Loop (Root Cause & Prevention):**
- Question the underlying assumptions that led to the problem
- Analyze why the system design allowed this issue to occur
- Challenge existing mental models about how the cluster should behave
- Implement systemic changes to prevent recurrence
- Update monitoring and alerting to catch early warning signs

Always ask: "Why did our existing approach fail to prevent this?"

### USE Method for System Resource Analysis

Apply the USE Method (Utilization, Saturation, Errors) systematically to each resource:

**CPU:**
- Utilization: `top`, `mpstat`, nodetool `tpstats` for thread pool usage
- Saturation: Run queue length, thread pool pending tasks
- Errors: Check for compaction/repair failures due to CPU constraints

**Memory:**
- Utilization: Heap usage, off-heap (memtables, bloom filters, compression metadata)
- Saturation: GC frequency and duration, OOM errors
- Errors: `java.lang.OutOfMemoryError`, allocation failures

**Disk I/O:**
- Utilization: `iostat` %util, read/write throughput
- Saturation: `await` latency, queue depth
- Errors: Disk errors in system logs, failed compactions

**Network:**
- Utilization: Bandwidth usage between nodes, client connections
- Saturation: Dropped messages (`nodetool tpstats`), connection timeouts
- Errors: Gossip failures, streaming errors, hinted handoff backlog

**Storage:**
- Utilization: Disk space per node, data directory usage
- Saturation: Approaching disk limits, compaction unable to keep up
- Errors: Write failures due to full disk

**Thread Pools:**
- Not a hardware resource, but has similar characteristics
- Utilization: Active Tasks
- Saturation: Pending Tasks
- Errors: Error Rate

### Outlier Analysis

When diagnosing issues, always compare nodes to identify outliers:

**Key Questions:**
- Are some nodes showing different latency profiles?
- Is one node handling disproportionate traffic (hot partition)?
- Do some nodes have different resource utilization patterns?
- Are there nodes with more tombstones or larger SSTables?
- Is gossip healthy across all nodes?

**Comparison Points:**
- Read/write latencies per node (`nodetool tablehistograms`)
- Compaction pending per node
- Thread pool statistics across nodes
- GC behavior differences
- Disk utilization variance
- Network latency between specific node pairs

**Tools:**
- `nodetool status` - basic health overview
- `nodetool netstats` - streaming and network state
- `nodetool tpstats` - thread pool comparison
- Metrics systems (Prometheus/Grafana) for time-series comparison
- Profiling: Async Profiler. See Jon's video: https://www.youtube.com/watch?v=yNZtnzjyJRI

## Common Issues Checklist

### Latency Issues
- Check GC logs for long pauses
- Review thread pool saturation (`nodetool tpstats`)
- Look for disk I/O saturation (`iostat`)
- Check for tombstone-heavy reads
- Verify network latency between nodes
- Review consistency level vs replication factor

### Node Failures
- Check gossip status (`nodetool gossipinfo`)
- Review system logs for errors
- Verify disk space and health
- Check for network partitions
- Review hinted handoff status

### Compaction Issues
- Check pending compaction tasks
- Review compaction throughput settings
- Look for large partitions blocking compaction
- Verify disk space for compaction headroom

### Memory Pressure
- Review heap usage and GC frequency
- Check off-heap memory (memtables, bloom filters)
- Look for memory leaks in native memory
- Verify JVM settings match workload

### Data Imbalance / Token Skew
- Check `nodetool status` Load column for uneven disk usage across nodes
- Do NOT rely on "Owns (effective)" — it shows full-ring primary range, which is misleading when `allocate_tokens_for_local_replication_factor` (allocator hint) == rack count
- Use `/cassandra-expert:token-skew` for correct two-phase analysis:
  - Phase 1: Token distribution quality (per-rack ownership, based on allocator hint vs rack count)
  - Phase 2: Data distribution skew (based on keyspace RF, validated against disk Load)
- Key distinction: the allocator hint (cassandra.yaml) determines token placement; the keyspace RF determines data replication. These are independent settings — do not conflate them.
- For detailed analysis, read: `../../references/general/token-skew.md`

### Streaming Performance Issues

Slow streaming during bootstrap, decommission, or repair.

**Symptoms:**
- Bootstrap/decommission taking hours instead of minutes
- Throughput ~12MB/s instead of disk/network speeds

**Quick checks:**
- `nodetool netstats` - monitor streaming progress
- `nodetool ring` - check vnode count (should be 1-4)

**Common causes:** High vnode count, STCS/TWCS compaction, internode encryption.

For detailed diagnostics, read: `../../references/general/streaming.md`

## Diagnostic Commands

```bash
# Overall status
nodetool status
nodetool info

# Thread pools
nodetool tpstats

# Table statistics
nodetool tablestats <keyspace>.<table>
nodetool tablehistograms <keyspace>.<table>

# Compaction
nodetool compactionstats
nodetool compactionhistory

# Network
nodetool netstats
nodetool gossipinfo

# Ring and token distribution
nodetool ring
nodetool describecluster
```

## References

For detailed diagnostics context:
- `../../references/general/streaming.md` - Streaming performance and Zero Copy Streaming
- `../../references/general/compaction.md` - Compaction strategy issues and tuning
- `../../references/general/repair.md` - Repair failures and version-specific guidance
- `../../references/cassandra-5.0/notable-features.md` - New features that may affect behavior
- `../../references/cassandra-5.0/jvm-options.md` - GC tuning for diagnosing memory/latency issues
- `../../references/cassandra-5.0/cassandra-yaml.md` - Configuration that may cause issues

## Guidelines

1. **Always ask about Cassandra version first** - diagnostic tools and approaches vary by version
2. Start with USE method - systematically check each resource
3. Compare nodes to find outliers
4. Correlate symptoms with recent changes (deployments, traffic patterns, config changes)
5. Check the simple things first (disk space, network connectivity)
6. Use double loop learning to prevent recurrence

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许可证: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 42 GitHub stars
  • Stars/forks activity: 42 stars, 8 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库
rustyrazorblade/skills
许可证
Apache-2.0
版本
1.0.0
最近 GitHub 推送
2026年9月5日
目录更新于
2026年9月10日
技能指令路径
plugins/cassandra-expert/skills/diagnose/SKILL.md @ 9b24bd015db0

版本来自目录元数据，使用前请核实来源发布记录。

质量

60/100

有潜力

信任

62/100

仅限沙盒

审计

73/100

需审查

打开完整审计查看评估报告
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 42 GitHub stars
  • Stars/forks activity: 42 stars, 8 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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      "Financial research output is not financial advice; require human review before any live investment decision.",
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    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision."
  ],
  "agent_contract": {
    "task_input": "Use diagnose in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 73/100 Needs review",
      "Safety: 29/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "rustyrazorblade-diagnose (diagnose)",
      "install_command": "",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "rustyrazorblade-diagnose",
      "task": "Use diagnose in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/rustyrazorblade-diagnose",
    "api": "https://www.openagentskill.com/api/agent/skills/rustyrazorblade-diagnose",
    "audit": "https://www.openagentskill.com/skills/rustyrazorblade-diagnose/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=rustyrazorblade-diagnose&task=Use%20diagnose%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20diagnose%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20diagnose%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/rustyrazorblade-diagnose/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/rustyrazorblade-diagnose"
  }
}

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