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/alibabacloud-cksync-plan

ClickHouse cluster migration planner. Use when planning data migration between ClickHouse clusters, including cross-cluster migrations, horizontal scaling, disk downgrade, availability zone changes, or migrating from self-built/non-Alibaba Cloud ClickHouse to Alibaba Cloud

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$ npx -y skills add aliyun/alibabacloud-aiops-skills --skill alibabacloud-cksync-plan --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/alibabacloud-cksync-plan

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ClickHouse cluster migration planner. Use when planning data migration between ClickHouse clusters, including cross-cluster migrations, horizontal scaling, disk downgrade, availability zone changes, or migrating from self-built/non-Alibaba Cloud ClickHouse to Alibaba Cloud

SKILL.md

alibabacloud-cksync-plan.SKILL.md
name: alibabacloud-cksync-plan
description: ClickHouse cluster migration planner. Use when planning data migration between ClickHouse clusters, including cross-cluster migrations, horizontal scaling, disk downgrade, availability zone changes, or migrating from self-built/non-Alibaba Cloud ClickHouse to Alibaba Cloud ClickHouse (Community or Enterprise Edition). Helps analyze migration conditions, select appropriate migration methods, and generate detailed migration plans.

ClickHouse Sync Plan (cksync-plan)

A skill for planning ClickHouse cluster data migration solutions, including migration plans, risks, and considerations.

When to Use

  • Data migration between different ClickHouse clusters
  • Horizontal scaling (adding/removing nodes) for ClickHouse clusters
  • Disk downgrade operations
  • Cross-availability zone migrations
  • Upgrading to multi-replica, multi-AZ deployments

Workflow

Step 1: Gather Source Cluster Information

Ask user for **source cluster type**:

  • Self-built ClickHouse or non-Alibaba Cloud ClickHouse
  • Alibaba Cloud ClickHouse Community Edition
  • Alibaba Cloud ClickHouse Enterprise Edition

Ask user for **source cluster version** (e.g., 20.8, 22.8, 23.8, 24.3):

  • Version affects migration method compatibility
  • BACKUP/RESTORE requires ≥22.8
  • Incremental cksync migration requires target ≥20.8

Step 2: Gather Target Cluster Information

Ask user for **target cluster type**:

  • Alibaba Cloud ClickHouse Community Edition
  • Alibaba Cloud ClickHouse Enterprise Edition
  • To be determined

Step 3: Collect Cluster Details (REQUIRED)

**This step is mandatory.** You MUST collect database and table information before proceeding to migration plan selection.

Required Information

1. **Database list** with engines 2. **Table list** with engines, partition counts, data sizes, and write speeds

Option A: User Executes SQL

Provide SQL queries from [references/sql.md](references/sql.md) section 1 for user to execute:

1. **Database Information** - Query `system.databases` for database names and engines 2. **Table Information** - Comprehensive query including table names, engines, engine_full (for TTL), partition counts, data sizes, and write speeds

Key fields to collect:

  • `engine_full`: Contains TTL clause (e.g., `TTL event_time + INTERVAL 7 DAY`)
  • `part_count`: Partition count per table
  • `data_bytes`: Data size per shard
  • `write_speed_bytes_per_sec`: Write speed calculated from part_log

For complete SQL queries, see [references/sql.md](references/sql.md) section 1.

Option B: Direct Query via HTTP

Request connection details from user:

  • `HOST_NAME`: Cluster endpoint (e.g., `cc-xxx.clickhouse.rds.aliyuncs.com`)
  • `HTTP_PORT`: HTTP port (default: `8123`)
  • `USER_NAME`: Database username
  • `PASSWORD`: Database password

Use secure credential handling and HTTP query examples from [references/sql.md](references/sql.md) section 5.

Analysis Checklist

After collecting data, verify:

  • [ ] Required metadata is complete (database engine, table engine, `engine_full`, partitions, data size, write speed)
  • [ ] Migration compatibility checks are completed using [references/plans.md](references/plans.md) (method-specific conditions)
  • [ ] Version and read-only window constraints are mapped to candidate methods
  • [ ] Risks and mitigations are identified and recorded in the plan

Step 4: Business Requirements

Ask for **allowed read-only time**:

  • 0 minutes
  • Within 30 minutes
  • Within 1 day
  • Not sure yet

Step 5: Select and Present Migration Plan

Based on gathered information, analyze and recommend from these migration methods:

| Method | Best For | Min Read-Only Time | |--------|----------|-------------------| | Console (cksync) | Most migrations to Alibaba Cloud | ~10 min | | BACKUP/RESTORE | Large data, same edition type, version ≥22.8 | Varies by data size | | INSERT FROM REMOTE | Flexible control, small-medium data | ~10 min per batch | | Business Double-Write | Zero downtime required | 0 | | Kafka Double-Write | Existing Kafka pipelines or business writes switched to Kafka | 0 | | Big Cluster Federation | Large scale, complex scenarios | 0 |

**Hard requirement: MUST output a plan, never output empty content.**

Even when information is incomplete, you MUST output a **provisional migration plan**. The provisional plan must include:

  • assumptions used,
  • missing-information checklist,
  • confidence level and key uncertainties,
  • next steps to finalize recommendation after user provides missing inputs.

Migration Methods Overview

1. Console (cksync) Migration

Default choice for most Alibaba Cloud migration scenarios, especially in-place operations. For support boundaries, engine constraints, TTL/write-speed checks, merge risk, and resource prerequisites, see [references/plans.md](references/plans.md) section 1.

2. BACKUP/RESTORE Migration

Suitable for same-edition migrations where full backup/restore workflow is acceptable. For version/edition constraints, supported engines, command patterns, and progress monitoring, see [references/plans.md](references/plans.md) section 2.

3. INSERT FROM REMOTE Migration

Best when fine-grained table/partition/time-range control is needed. For applicability boundaries and operational constraints, see [references/plans.md](references/plans.md) section 3. For SQL templates and detailed steps, see [references/sql.md](references/sql.md) section 2.

4. Business Double-Write

Use when zero downtime is required and application-side dual-write is feasible. For detailed conditions, see [references/plans.md](references/plans.md) section 4.

5. Kafka Double-Write

Use when dual-consumer switchover via Kafka is feasible, including both existing Kafka pipelines and cases where business writes can be switched to Kafka first. For detailed conditions, see [references/plans.md](references/plans.md) section 5.

6. Big Cluster Federation

Advanced option for large/complex migrations wit

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