> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-detect-table-modification.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> 您可以使用 Google Dataflow 模板将数据摄取到 ClickHouse

# Google Dataflow 模板

export const ClickHouseSupportedBadge = () => {
  return <div className="ClickHouseSupportedBadge">
            <div className="ClickHouseSupportedIcon">
                <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
                    <path d="M1.30762 1.39073C1.30762 1.3103 1.37465 1.22986 1.46849 1.22986H2.64824C2.72868 1.22986 2.80912 1.29689 2.80912 1.39073V14.4886C2.80912 14.5691 2.74209 14.6495 2.64824 14.6495H1.46849C1.38805 14.6495 1.30762 14.5825 1.30762 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M4.2832 1.39073C4.2832 1.3103 4.35023 1.22986 4.44408 1.22986H5.62383C5.70427 1.22986 5.7847 1.29689 5.7847 1.39073V14.4886C5.7847 14.5691 5.71767 14.6495 5.62383 14.6495H4.44408C4.36364 14.6495 4.2832 14.5825 4.2832 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M7.25977 1.39073C7.25977 1.3103 7.3268 1.22986 7.42064 1.22986H8.60039C8.68083 1.22986 8.76127 1.29689 8.76127 1.39073V14.4886C8.76127 14.5691 8.69423 14.6495 8.60039 14.6495H7.42064C7.3402 14.6495 7.25977 14.5825 7.25977 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M10.2354 1.39073C10.2354 1.3103 10.3024 1.22986 10.3962 1.22986H11.576C11.6564 1.22986 11.7369 1.29689 11.7369 1.39073V14.4886C11.7369 14.5691 11.6698 14.6495 11.576 14.6495H10.3962C10.3158 14.6495 10.2354 14.5825 10.2354 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M13.2256 6.6057C13.2256 6.52526 13.2926 6.44482 13.3865 6.44482H14.5662C14.6466 6.44482 14.7271 6.51186 14.7271 6.6057V9.27354C14.7271 9.35398 14.6601 9.43442 14.5662 9.43442H13.3865C13.306 9.43442 13.2256 9.36739 13.2256 9.27354V6.6057Z" fill="currentColor" />
                </svg>
            </div>
            支持 ClickHouse
        </div>;
};

Google Dataflow 模板 提供了一种便捷方式，让你无需编写自定义代码即可运行预构建、开箱即用的数据管道。这些模板旨在简化常见的数据处理任务，基于 [Apache Beam](https://beam.apache.org/) 构建，并借助 `ClickHouseIO` 等连接器与 ClickHouse 数据库无缝集成。通过在 Google Dataflow 上运行这些模板，你可以以极低的工作量实现高度可扩展的分布式数据处理。

<div id="why-use-dataflow-templates">
  ## 为什么使用 Dataflow 模板？
</div>

* **易用性**：模板提供针对特定用例预先配置好的管道，无需编写代码。
* **可扩展性**：Dataflow 可确保你的管道高效扩展，并通过分布式处理应对海量数据。
* **成本效益**：你只需为实际使用的资源付费，同时还能优化管道的执行成本。

<div id="how-to-run-dataflow-templates">
  ## 如何运行 Dataflow 模板
</div>

目前，ClickHouse 官方模板可通过 Google Cloud Console、CLI 或 Dataflow REST API 使用。
如需详细的分步说明，请参阅 [Google Dataflow“从模板运行管道”指南](https://cloud.google.com/dataflow/docs/templates/provided-templates)。

<div id="list-of-clickhouse-templates">
  ## ClickHouse 模板列表
</div>

* [BigQuery 到 ClickHouse](/zh/integrations/connectors/data-ingestion/GCP/google-dataflow/templates/bigquery-to-clickhouse)
* [Pub/Sub 到 ClickHouse](/zh/integrations/connectors/data-ingestion/GCP/google-dataflow/templates/pubsub-to-clickhouse)
* [GCS 到 ClickHouse](https://github.com/ClickHouse/DataflowTemplates/issues/3) (即将上线！)