[incubator-iotdb] branch master updated: Fix UserGuide/Overview/Architecture

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The following commit(s) were added to refs/heads/master by this push:
     new 0c17797  Fix UserGuide/Overview/Architecture
0c17797 is described below

commit 0c177976f4958bf81efd626430908e9255b27d2c
Author: samperson1997 <sz...@mails.tsinghua.edu.cn>
AuthorDate: Fri Jul 31 07:53:42 2020 +0800

    Fix UserGuide/Overview/Architecture
---
 docs/UserGuide/Overview/Architecture.md    | 2 +-
 docs/zh/UserGuide/Overview/Architecture.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/UserGuide/Overview/Architecture.md b/docs/UserGuide/Overview/Architecture.md
index 906ef3d..24d5e78 100644
--- a/docs/UserGuide/Overview/Architecture.md
+++ b/docs/UserGuide/Overview/Architecture.md
@@ -29,7 +29,7 @@ IoTDB suite can provide a series of functions in the real situation such as data
 
 As shown in Figure 1.1, users can use JDBC to import timeseries data collected by sensor on the device to local/remote IoTDB. These timeseries data may be system state data (such as server load and CPU memory, etc.), message queue data, timeseries data from applications, or other timeseries data in the database. Users can also write the data directly to the TsFile (local or on HDFS).
 
-For the data written to IoTDB and local TsFile, users can use TsFileSync tool to synchronize the TsFile to the HDFS, thereby implementing data processing tasks such as abnormality detection and machine learning on the Hadoop or Spark data processing platform. 
+TsFile could be written to the HDFS, thereby implementing data processing tasks such as abnormality detection and machine learning on the Hadoop or Spark data processing platform. 
 
 For the data written to HDFS or local TsFile, users can use TsFile-Hadoop-Connector or TsFile-Spark-Connector to allow Hadoop or Spark to process data. 
 
diff --git a/docs/zh/UserGuide/Overview/Architecture.md b/docs/zh/UserGuide/Overview/Architecture.md
index edbdbe4..e2e76a6 100644
--- a/docs/zh/UserGuide/Overview/Architecture.md
+++ b/docs/zh/UserGuide/Overview/Architecture.md
@@ -29,7 +29,7 @@ IoTDB套件由若干个组件构成，共同形成“数据收集-数据写入-
 
 在图1.1中，用户可以通过JDBC将来自设备上传感器采集的时序数据、服务器负载和CPU内存等系统状态数据、消息队列中的时序数据、应用程序的时序数据或者其他数据库中的时序数据导入到本地或者远程的IoTDB中。用户还可以将上述数据直接写成本地（或位于HDFS上）的TsFile文件。
 
-对于写入到IoTDB的数据以及本地的TsFile文件，可以通过同步工具TsFileSync将数据文件同步到HDFS上，进而实现在Hadoop或Spark的数据处理平台上的诸如异常检测、机器学习等数据处理任务。
+可以将TsFile文件写入到HDFS上，进而实现在Hadoop或Spark的数据处理平台上的诸如异常检测、机器学习等数据处理任务。
 
 对于写入到HDFS或者本地的TsFile文件，可以利用TsFile-Hadoop或TsFile-Spark连接器允许Hadoop或Spark进行数据处理。