整理文件并且删除没有内容的文件
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 数据格式
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Apache Druid可以接收JSON、CSV或TSV等分隔格式或任何自定义格式的非规范化数据。尽管文档中的大多数示例使用JSON格式的数据，但将Druid配置为接收任何其他分隔数据并不困难。我们欢迎对新格式的任何贡献。
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 数据管理
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 数据摄取相关问题FAQ
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### 实时摄取
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 基于Hadoop的摄入
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 数据摄入
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### 综述
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## Apache Kafka 摄取数据
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 本地批摄入
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## Schema设计
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### Druid数据模型
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<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>
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<ins class="adsbygoogle"
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style="display:block; text-align:center;"
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data-ad-layout="in-article"
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data-ad-format="fluid"
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data-ad-client="ca-pub-8828078415045620"
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data-ad-slot="7586680510"></ins>
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<script>
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(adsbygoogle = window.adsbygoogle || []).push({});
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</script>
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## 任务参考文档
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