1. 安装 TiKV：首先需要在 TiKV 集群中增加新的节点，确保 TiKV 集群可用。可以参考 TiKV 官方文档进行安装和配置，也可以使用工具如 TiUP 等进行自动化部署。

2. 配置 TiCDC：TiCDC 是 TiKV 的一个子项目，用于解决 TiKV 的异构数据源同步问题。需要在 TiCDC 中配置 MySQL 数据库的连接信息和 TiKV 相关参数，以便 TiCDC 可以将数据从 MySQL 同步到 TiKV 中。

3. 配置 Flink CDC：在 Flink CDC 中，需要添加一个新的 TiKV Sink，用于将数据从 Flink 中输出到 TiKV 中。可以使用 Flink Connector for TiDB 插件来实现这一功能。该插件提供了 TiDB 和 TiKV 的 Sink 和 Source，可以方便地进行 TiDB 和 TiKV 的数据同步。

4. 编写 Flink 程序：最后，需要编写 Flink 程序来读取 MySQL 数据库中的数据，并将其输出到 TiKV 中。可以使用 Flink SQL 或 Flink DataStream API 来编写程序，具体实现方式取决于具体的业务需求和数据处理场景。

在Flink CDC中，Tikv节点是用来存储TiDB中的数据的。如果你想要增加Tikv节点，你需要执行以下步骤：

1. 在TiDB集群中添加新的Tikv节点。
2. 修改TiDB的配置文件，将新添加的Tikv节点的地址加入到配置文件中。
3. 重启TiDB服务以使配置生效。
   如果你只是想在Flink CDC中处理Tikv的数据，你可以使用Flink CDC的TiKV Source Connector。这个连接器可以让你从Tikv中读取数据，并将其转换为Flink可以处理的数据流。

在Flink CDC中使用TiKV，首先需要确保你的集群环境中已经安装了TiKV。然后，你可以按照以下步骤进行操作：

1. 在Flink项目中引入依赖：在你的pom.xml文件中添加以下依赖：

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-clickhouse_2.11</artifactId>
    <version>${flink.version}</version>
</dependency>

1. 在Flink配置文件中启用ClickHouse connector：在flink-conf.yaml文件中添加以下内容：

```yaml
execution.runtime-mode: cluster
parallelism.default: 1
jobmanager.rpc.address: localhost
jobmanager.heap.mb: 1000
taskmanager.heap.mb: 800
taskmanager.numberOfTaskSlots: 2

Enable the ClickHouse connector

connector.keep-alive: true
connector.allow-non-restored-state: true
execution.checkpointing.strategy: periodic
execution.checkpointing.interval: 60s
execution.checkpointing.min-pause: 5s
execution.checkpointing.max-concurrent-checkpoints: 1
execution.checkpointing.timeout: 0ms
execution.checkpointing.extra-concurrent-checkpoints: 0
execution.checkpointing.checkpoint-failover-strategy: REGULAR
execution.checkpointing.savepoint.directory: s3a://my-bucket/savepoints
execution.checkpointing.savepoint.keep-for-one-minute: false
execution.checkpointing.savepoint.keep-for-one-hour: false
execution.checkpointing.savepoint.keep-for-one-day: false
execution.checkpointing.savepoint.keep-forever: false
execution.checkpointing.savepoint.compatibility: NONE
execution.checkpointing.savepoint.compatibility-for-kafka-streams: NONE
execution.checkpointing.savepoint.compatibility-for-flink-sql: NONE
execution.checkpointing.savepoint.compatibility-for-data-stream-api: NONE
execution.checkpointing.savepoint.compatibility-for-legacy-format: NONE
execution.checkpointing.savepoint.compatibility-for-table-api: NONE
execution.checkpointing.savepoint.compatibility-for-source-and-sink-factories: NONE
execution.checkpointing.savepoint.compatibility-for-custom-format: NONE
execution.checkpointing.savepoint.compatibility-for-custom-serialization: NONE
execution.checkpointing.savepoint.compatibility-for-custom-deserialization: NONE
execution.checkpointing.savepoint.compatibility-for-custom-watermarks: NONE
execution.checkpointing.savepoint.compatibility-for-custom-timestamp-assigners: NONE
execution.checkpointing.savepoint.compatibility-for-custom-operator: NONE
execution.checkpointing.savepoint.compatibility-for-custom-io-registry: NONE
execution.checkpointing.savepoint.compatibility-for-custom-typeinfo: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-backend: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-view-factory: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-family: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-extractor: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-value: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-metadata: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-visitor: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-serializer: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-deserializer: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-copy-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-equals-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-hash-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-union-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-intersection-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-subtraction-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-addition-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-removal-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-replacement-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-update-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-merge-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-split-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-join-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-map-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-flat-map-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-filter-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-reduce-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-collect-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-iterate-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-key-selector: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-value-selector: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-window-assigner: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-trigger: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-accumulator: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-combine-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-finish-function: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-out-of-orderness-behavior: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-state-description: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-state-factory: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-state-visitor: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-state-serializer: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-state-deserializer: NONE
execution.checkpointing.savepoint.compatibility-for-custom-state-tag-state-copy-function

Flink CDC 支持 TiKV 作为 Change Data Capture（CDC）数据源。要使用 TiKV 作为 Flink CDC 的数据源，你需要按照以下步骤操作：

1. 添加 Flink TiKV CDC 依赖：
   在你的项目的 pom.xml 文件中，添加以下依赖：

org.apache.flink
flink-connector-tikv_2.12
1.13.2

CopyCopy

请注意，这里我们使用的是 Flink 1.13.2 版本，你还需要根据你的项目需求选择合适的版本。

1. 配置 TiKV 连接信息：
   在 Flink CDC 的配置中，你需要提供 TiKV 集群的连接信息。以下是一个示例配置：

import org.apache.flink.connector.tikv.TiKVConfig;
import org.apache.flink.connector.tikv.TiKVData;
// ...
TiKVConfig tiKVConfig = TiKVConfig.newBuilder()
.setMasterAddresses("tikv-master-01:2379,tikv-master-02:2379")
.setWorkerAddresses("tikv-worker-01:2380,tikv-worker-02:2380")
.build();
// ...
DataStream tiKVDataStream = env.connect(tiKVConfig)
.with(new TiKVData.TiKVDataFunction());
CopyCopy

请将 tikv-master-01:2379,tikv-master-02:2379 和 tikv-worker-01:2380,tikv-worker-02:2380 替换为你的 TiKV 集群的实际连接信息。

1. 处理 TiKV 数据：
   现在你已经成功地将 TiKV 作为 Flink CDC 的数据源，你可以使用 Flink 的各种操作对 TiKV 数据进行处理，例如过滤、转换、分组等。以下是一个简单的示例：

tiKVDataStream
.filter(new TiKVDataFilterFunction())
.map(new TiKVDataMapFunction())
.groupBy(...);
CopyCopy

请注意，你需要根据你的业务需求实现 TiKVDataFilterFunction 和 TiKVDataMapFunction 函数。