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update export tools #2463

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update export tools #2463

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update export tools
cooper-lzy Feb 18, 2024
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update
cooper-lzy Feb 18, 2024
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Update write-tools.md
cooper-lzy Feb 18, 2024
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14 changes: 8 additions & 6 deletions docs-2.0-en/import-export/write-tools.md
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There are many ways to write NebulaGraph {{ nebula.release }}:

- Import with [the command -f](../2.quick-start/3.connect-to-nebula-graph.md): This method imports a small number of prepared nGQL files, which is suitable to prepare for a small amount of manual test data.
- Import with [Studio](../nebula-studio/quick-start/st-ug-import-data.md): This method uses a browser to import multiple csv files of this machine. A single file cannot exceed 100 MB, and its format is limited.
- Import with [Importer](use-importer.md): This method imports multiple csv files on a single machine with unlimited size and flexible format.
- Import with [Studio](../nebula-studio/quick-start/st-ug-import-data.md): This method uses a browser to import multiple CSV files of this machine. A single file cannot exceed 100 MB, and its format is limited.
- Import with [Importer](use-importer.md): This method imports multiple CSV files on a single machine with unlimited size and flexible format.
- Import with [Exchange](nebula-exchange/about-exchange/ex-ug-what-is-exchange.md): This method imports from various distribution sources, such as Neo4j, Hive, MySQL, etc., which requires a Spark cluster.
- Import with [Spark-connector](../connector/nebula-spark-connector.md)/[Flink-connector](../connector/nebula-flink-connector.md): This method has corresponding components (Spark/Flink) and writes a small amount of code.
- Read and write APIs with [Spark-connector](../connector/nebula-spark-connector.md)/[Flink-connector](../connector/nebula-flink-connector.md): This method has corresponding components (Spark/Flink) and writes a small amount of code.
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- Import with [C++/GO/Java/Python SDK](../20.appendix/6.eco-tool-version.md): This method imports in the way of writing programs, which requires certain programming and tuning skills.

The following figure shows the positions of these ways:

![image](https://docs-cdn.nebula-graph.com.cn/figures/write-choice.png)


## Export tools

!!! enterpriseonly
- Read and write APIs with [Spark-connector](../connector/nebula-spark-connector.md)/[Flink-connector](../connector/nebula-flink-connector.md): This method has corresponding components (Spark/Flink) and writes a small amount of code.
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- Export the data in database to a CSV file or another graph space (different NebulaGraph database clusters are supported) using the export function of the Exchange.

!!! enterpriseonly

The export tool is exclusively available in the Enterprise Edition. If you require access to this version, please [contact us](mailto:inquiry@vesoft.com).
The export function is exclusively available in the Enterprise Edition. If you require access to this version, please [contact us](mailto:inquiry@vesoft.com).
23 changes: 16 additions & 7 deletions docs-2.0-zh/import-export/write-tools.md
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# 导入工具选择
# 导入导出工具概述

## 导入工具

有多种方式可以将数据写入 {{nebula.name}} {{ nebula.release }}：
有多种方式可以将数据写入{{nebula.name}} {{ nebula.release }}：

- 使用[命令行 -f 的方式](../2.quick-start/3.quick-start-on-premise/3.connect-to-nebula-graph.md)导入：可以导入少量准备好的 nGQL 文件，适合少量手工测试数据准备；
- 使用[命令行 -f 的方式](../2.quick-start/3.quick-start-on-premise/3.connect-to-nebula-graph.md)导入：可以导入少量准备好的 nGQL 文件，适合少量手工测试数据准备。

- 使用 [Studio 导入](../nebula-studio/quick-start/st-ug-import-data.md)：可以用过浏览器导入本机多个 csv 文件，格式有限制；
- 使用 [Studio 导入](../nebula-studio/quick-start/st-ug-import-data.md)：可以用过浏览器导入本机多个 CSV 文件，格式有限制。

- 使用 [Importer 导入](use-importer.md)：导入单机多个 csv 文件，大小没有限制，格式灵活；数据量十亿级以内；
- 使用 [Exchange 导入](nebula-exchange/about-exchange/ex-ug-what-is-exchange.md)：从 Neo4j, Hive, MySQL 等多种源分布式导入，需要有 Spark 集群；数据量十亿级以上
- 使用 [Spark-connector](../connector/nebula-spark-connector.md)/[Flink-connector](../connector/nebula-flink-connector.md) 导入：有相应组件 (Spark/Flink)，撰写少量代码；
- 使用 [Importer 导入](use-importer.md)：导入单机多个 CSV 文件，大小没有限制，格式灵活。适合数据量十亿级以内场景。
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- 使用 [Exchange 导入](nebula-exchange/about-exchange/ex-ug-what-is-exchange.md)：从 Neo4j、Hive、MySQL 等多种源分布式导入，需要有 Spark 集群。适合数据量十亿级以上场景。
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- 使用 [Spark-connector](nebula-spark-connector.md)/[Flink-connector](nebula-flink-connector.md) 读写 API：有相应组件 (Spark/Flink)，撰写少量代码即可。
- 使用 [C++/GO/Java/Python SDK](../20.appendix/6.eco-tool-version.md)：编写程序的方式导入，需要有一定编程和调优能力。

下图给出了几种方式的定位：

![image](https://docs-cdn.nebula-graph.com.cn/figures/write-choice.png)

## 导出工具

- 使用 [Spark-connector](nebula-spark-connector.md)/[Flink-connector](nebula-flink-connector.md) 读写 API：有相应组件 (Spark/Flink)，撰写少量代码即可。
- 使用 Exchange 导出功能将数据导出至 CSV 文件或另一个图空间（支持不同 {{nebula.name}} 集群）中。

!!! enterpriseonly

仅企业版 Exchange 提供导出功能。如需企业版，请[联系我们](https://discuss-cdn.nebula-graph.com.cn/uploads/default/original/3X/d/1/d1e1b0e55e29776ee60e3f34c843474ec884393d.jpeg)。