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RedisShake

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RedisShake is a Valkey/Redis data processing and migration tool.

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# RedisShake: Redis Data Transformation and Migration Tool

[![CI](https://img.shields.io/github/actions/workflow/status/tair-opensource/RedisShake/ci.yml?branch=v4&label=CI
)](https://github.com/tair-opensource/RedisShake/actions/workflows/ci.yml)
[![Website](https://img.shields.io/website?url=https%3A%2F%2Ftair-opensource.github.io%2FRedisShake%2F&up_message=%E4%B8%AD%E6%96%87%20%2F%20English&up_color=red&label=Doc
)](https://tair-opensource.github.io/RedisShake/)
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[![ghcr.io](https://ghcr-badge.egpl.dev/tair-opensource/redisshake/latest_tag?color=%231d63ed&ignore=latest&label=ghcr.io&trim=)](https://github.com/tair-opensource/RedisShake/pkgs/container/redisshake)

- [中文文档](https://tair-opensource.github.io/RedisShake/)
- [English Documentation](https://tair-opensource.github.io/RedisShake/en/)

![](https://raw.githubusercontent.com/tair-opensource/RedisShake/v4/docs/intro.png)

## Overview

RedisShake is a powerful tool for Redis data transformation and migration, offering:

1. **Zero Downtime Migration**: Enables seamless data migration without data loss or service interruption, ensuring continuous operation during the transfer process.

2. **Valkey/Redis Compatibility**: Supports Redis (2.8 to 8.4.x) and Valkey (8.x to 9.x) across standalone, master–slave, sentinel, and cluster deployments. See [Version Compatibility](https://tair-opensource.github.io/RedisShake/zh/others/compatibility.html) for detailed feature support.

3. **Cloud Service Integration**: Seamlessly works with Redis-like databases from major cloud providers:
   - Alibaba Cloud: [Tair (Redis® OSS-Compatible)](https://www.alibabacloud.com/en/product/tair)
   - AWS: [ElastiCache](https://aws.amazon.com/elasticache/), [MemoryDB](https://aws.amazon.com/memorydb/)

4. **Module Support**: Compatible with [TairString](https://github.com/tair-opensource/TairString), [TairZSet](https://github.com/tair-opensource/TairZset), and [TairHash](https://github.com/tair-opensource/TairHash).

5. **Flexible Data Source**: Supports [PSync](https://tair-opensource.github.io/RedisShake/zh/reader/sync_reader.html), [RDB](https://tair-opensource.github.io/RedisShake/zh/reader/rdb_reader.html), and [Scan](https://tair-opensource.github.io/RedisShake/zh/reader/scan_reader.html) data fetch methods.

6. **Advanced Data Processing**: Enables custom [script-based data transformation](https://tair-opensource.github.io/RedisShake/zh/filter/function.html) and easy-to-use [data filter rules](https://tair-opensource.github.io/RedisShake/zh/filter/filter.html).

## How to Get RedisShake

### For Humans

1. Download from [Releases](https://github.com/tair-opensource/RedisShake/releases).

2. Use Docker:
```shell
docker run --network host \
    -e SYNC=true \
    -e SHAKE_SRC_ADDRESS=127.0.0.1:6379 \
    -e SHAKE_DST_ADDRESS=127.0.0.1:6380 \
    ghcr.io/tair-opensource/redisshake:latest
```

3. Build it yourself:

> **Prerequisite:** Go must be installed and available in your system before running the build script.
   
```shell
git clone https://github.com/tair-opensource/RedisShake
cd RedisShake
sh build.sh
```

### For LLM Agents

Copy and paste this prompt to your LLM agent (Claude Code, Cursor, etc.):

```
Read the RedisShake usage guide and help me with my task:
https://raw.githubusercontent.com/tair-opensource/RedisShake/v4/README_FOR_AGENTS.md
```

## How to Use RedisShake

To move data between two Redis instances and skip some keys:

1. Make a file called `shake.toml` with these settings:
```toml
[sync_reader]
address = "127.0.0.1:6379"

[redis_writer]
address = "127.0.0.1:6380"

[filter]
# skip keys with "temp:" or "cache:" prefix
block_key_prefix = ["temp:", "cache:"] 
```

2. Run RedisShake:
```shell
./redis-shake shake.toml
```

For more help, check the [docs](https://tair-opensource.github.io/RedisShake/zh/guide/mode.html).

## Limitations

**Resumable Transfer (Checkpoint) is NOT Supported**: RedisShake 4.x does not support resumable transfer. Unlike commercial solutions such as Alibaba Cloud DTS or Tair Global Active-Active which can resume from the last checkpoint after interruption, RedisShake will perform a full resync from the beginning when restarted.

**Cluster Topology Change Awareness is NOT Supported**: RedisShake assumes a static cluster topology. Any topology changes (such as scaling, failover, or slot migration) will cause the process to panic. Combined with the lack of checkpoint support, RedisShake is best suited for **one-time data migration scenarios**, not for long-term continuous synchronization.

## Cross-Version Migration

Before migrating data between different major versions of Redis, we recommend using the **[resp-compatibility](https://github.com/tair-opensource/resp-compatibility/)** tool for a compatibility check and consulting the **[compatibility report](https://github.com/tair-opensource/resp-compatibility/blob/main/compatibility_report_en_US.md)** to avoid known breaking changes and bugs.

## History

RedisShake, actively maintained by the [Tair team](https://github.com/tair-opensource) at Alibaba Cloud, evolved from [redis-port](https://github.com/CodisLabs/redis-port). Key milestones:

- [RedisShake 2.x](https://github.com/tair-opensource/RedisShake/tree/v2): Improved stability and performance.
- [RedisShake 3.x](https://github.com/tair-opensource/RedisShake/tree/v3): Complete codebase rewrite, enhancing efficiency and usability.
- [RedisShake 4.x](https://github.com/tair-opensource/RedisShake/tree/v4): Enhanced readers, configuration, observability, and functions.

## License

RedisShake is open-sourced under the [MIT license](https://github.com/tair-opensource/RedisShake/blob/v2/license.txt).

RedisShake

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