blob: 733feb0947009f350f388a1f26ba1c616c8ba1fe [file] [log] [blame]
const e=JSON.parse('{"key":"v-a184a96e","path":"/zh/UserGuide/V0.13.x/Data-Concept/Deadband-Process.html","title":"","lang":"zh-CN","frontmatter":{"description":"死区处理 旋转门压缩 旋转门压缩(SDT)算法是一种死区处理算法。SDT 的计算复杂度较低,并使用线性趋势来表示大量数据。 在 IoTDB 中,SDT 在刷新到磁盘时会压缩并丢弃数据。 IoTDB 允许您在创建时间序列时指定 SDT 的属性,并支持以下三个属性: CompDev (Compression Deviation,压缩偏差); CompDev...","head":[["link",{"rel":"alternate","hreflang":"en-us","href":"https://iotdb.apache.org/UserGuide/V0.13.x/Data-Concept/Deadband-Process.html"}],["meta",{"property":"og:url","content":"https://iotdb.apache.org/zh/UserGuide/V0.13.x/Data-Concept/Deadband-Process.html"}],["meta",{"property":"og:site_name","content":"IoTDB Website"}],["meta",{"property":"og:description","content":"死区处理 旋转门压缩 旋转门压缩(SDT)算法是一种死区处理算法。SDT 的计算复杂度较低,并使用线性趋势来表示大量数据。 在 IoTDB 中,SDT 在刷新到磁盘时会压缩并丢弃数据。 IoTDB 允许您在创建时间序列时指定 SDT 的属性,并支持以下三个属性: CompDev (Compression Deviation,压缩偏差); CompDev..."}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"zh-CN"}],["meta",{"property":"og:locale:alternate","content":"en-US"}],["meta",{"property":"og:updated_time","content":"2023-10-25T07:33:02.000Z"}],["meta",{"property":"article:modified_time","content":"2023-10-25T07:33:02.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"\\",\\"image\\":[\\"\\"],\\"dateModified\\":\\"2023-10-25T07:33:02.000Z\\",\\"author\\":[]}"]]},"headers":[{"level":2,"title":"死区处理","slug":"死区处理","link":"#死区处理","children":[{"level":3,"title":"旋转门压缩","slug":"旋转门压缩","link":"#旋转门压缩","children":[]}]}],"git":{"createdTime":1698219182000,"updatedTime":1698219182000,"contributors":[{"name":"dependabot[bot]","email":"49699333+dependabot[bot]@users.noreply.github.com","commits":1}]},"readingTime":{"minutes":2.88,"words":863},"filePathRelative":"zh/UserGuide/V0.13.x/Data-Concept/Deadband-Process.md","localizedDate":"2023年10月25日","autoDesc":true}');export{e as data};