(tsfile) branch develop updated: change Comparison to table (#90)

[qiaojialin]

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qiaojialin pushed a commit to branch develop
in repository https://gitbox.apache.org/repos/asf/tsfile.git


The following commit(s) were added to refs/heads/develop by this push:
     new d13393a1 change Comparison to table (#90)
d13393a1 is described below

commit d13393a1a7d308ab37da8c888b00a90409388105
Author: CritasWang <cri...@outlook.com>
AuthorDate: Tue May 28 19:14:53 2024 +0800

    change Comparison to table (#90)
---
 README-zh.md | 12 ++++++++++--
 README.md    | 12 ++++++++++--
 2 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/README-zh.md b/README-zh.md
index 11ed40f8..0e082981 100644
--- a/README-zh.md
+++ b/README-zh.md
@@ -87,7 +87,7 @@ TsFile 数据模型（Schema）定义了所有设备物理量的集合，如下
 
 - Index：TsFile 末尾的元数据文件包含序列内部时间维度的索引和序列间的索引信息。
 
-![TsFile 
文件结构](https://alioss.timecho.com/upload/Apache%20TsFile%20%E5%8F%91%E5%B8%83%E5%9B%BE3-20240315.png)
+![TsFile 文件结构](https://alioss.timecho.com/docs/img/tsfile.jpeg)
 
 ### 编码和压缩
 
@@ -95,8 +95,16 @@ TsFile 通过采用二阶差分编码、游程编码（RLE）、位压缩和 Sna
 
 其独特之处在于编码算法专为时序数据特性设计，聚焦在时间属性和数据之间的相关性。
 
-(![TsFile、Parquet 和 ORC 
三种文件格式的比较](https://alioss.timecho.com/upload/Apache%20TsFile%20%E5%8F%91%E5%B8%83%E5%9B%BE4-20240315.png))
+TsFile、CSV 和 Parquet 三种文件格式的比较
 
+| 维度    | TsFile | CSV | Parquet |
+|---------|--------|-----|---------|
+| 数据模型 | 物联网时序  | 无   | 嵌套     |
+| 写入模式 | 批, 行     | 行   | 行       |
+| 压缩    | 有         | 无   | 有       |
+| 读取模式 | 查询, 扫描  | 扫描 | 查询     |
+| 序列索引 | 有         | 无   | 无       |
+| 时间索引 | 有         | 无   | 无       |
 
 基于对时序数据应用需求的深刻理解，TsFile 
有助于实现时序数据高压缩比和实时访问速度，并为企业进一步构建高效、可扩展、灵活的数据分析平台提供底层文件技术支撑。
 
diff --git a/README.md b/README.md
index 7b0c8b05..8d673dfb 100644
--- a/README.md
+++ b/README.md
@@ -84,7 +84,7 @@ TsFile adopts a columnar storage design, similar to other 
file formats, primaril
 
 - Index: The file metadata at the end of TsFile contains a chunk-level index 
and file-level statistics for efficient data access.
 
-![TsFile 
Architecture](https://alioss.timecho.com/upload/Apache%20TsFile%20%E5%8F%91%E5%B8%83%E5%9B%BE3-20240315.png)
+![TsFile Architecture](https://alioss.timecho.com/docs/img/tsfile.jpeg)
 
 ## Encoding and Compression
 
@@ -94,8 +94,16 @@ Its uniqueness lies in the encoding algorithm designed 
specifically for time ser
 
 The table below compares 3 file formats in different dimensions.
 
-(![TsFile, Parquet and ORC in 
Comparison](https://alioss.timecho.com/upload/Apache%20TsFile%20%E5%8F%91%E5%B8%83%E5%9B%BE4-20240315.png))
+TsFile, CSV and Parquet in Comparison
 
+| Dimension       | TsFile       | CSV   | Parquet |
+|-----------------|--------------|-------|---------|
+| Data Model      | IoT          | Plain | Nested  |
+| Write Mode      | Tablet, Line | Line  | Line    |
+| Compression     | Yes          | No    | Yes     |
+| Read Mode       | Query, Scan  | Scan  | Query   |
+| Index on Series | Yes          | No    | No      |
+| Index on Time   | Yes          | No    | No      |
 
 Its development facilitates efficient data encoding, compression, and access, 
reflecting a deep understanding of industry needs, pioneering a path toward 
efficient, scalable, and flexible data analytics platforms.