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vinoth pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-hudi.git
The following commit(s) were added to refs/heads/asf-site by this push:
new f92566d HUDI-220 Translate root index page (#911)
f92566d is described below
commit f92566d2bf75077b4b1a7d9004ddb025122c2141
Author: vinoyang <[email protected]>
AuthorDate: Sun Sep 22 22:06:23 2019 +0800
HUDI-220 Translate root index page (#911)
- Index page is now translated
- refactor some little issue
---
docs/index.cn.md | 17 +++++++++--------
1 file changed, 9 insertions(+), 8 deletions(-)
diff --git a/docs/index.cn.md b/docs/index.cn.md
index eebd3cd..ed7bc10 100644
--- a/docs/index.cn.md
+++ b/docs/index.cn.md
@@ -1,23 +1,24 @@
---
-title: What is Hudi?
+title: 什么是Hudi?
keywords: big data, stream processing, cloud, hdfs, storage, upserts, change
capture
tags: [getting_started]
sidebar: mydoc_sidebar
permalink: index.html
-summary: "Hudi brings stream processing to big data, providing fresh data
while being an order of magnitude efficient over traditional batch processing."
+summary: "Hudi为大数据带来流处理，在提供新数据的同时，比传统的批处理效率高出一个数量级。"
---
-Hudi (pronounced “Hoodie”) ingests & manages storage of large analytical
datasets over DFS
([HDFS](http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html)
or cloud stores) and provides three logical views for query access.
+Hudi（发音为“hoodie”）摄取与管理处于DFS([HDFS](http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html)
或云存储)之上的大型分析数据集并为查询访问提供三个逻辑视图。
+
+ * **读优化视图** - 在纯列式存储上提供出色的查询性能，非常像[parquet](https://parquet.apache.org/)表。
+ * **增量视图** - 在数据集之上提供一个变更流并提供给下游的作业或ETL任务。
+ * **准实时的表** - 使用基于列存储(例如 Parquet +
[Avro](http://avro.apache.org/docs/current/mr.html))和行存储以提供对实时数据的查询
- * **Read Optimized View** - Provides excellent query performance on pure
columnar storage, much like plain [Parquet](https://parquet.apache.org/) tables.
- * **Incremental View** - Provides a change stream out of the dataset to feed
downstream jobs/ETLs.
- * **Near-Real time Table** - Provides queries on real-time data, using a
combination of columnar & row based storage (e.g Parquet +
[Avro](http://avro.apache.org/docs/current/mr.html))
<figure>
<img class="docimage" src="/images/hudi_intro_1.png"
alt="hudi_intro_1.png" />
</figure>
-By carefully managing how data is laid out in storage & how it’s exposed to
queries, Hudi is able to power a rich data ecosystem where external sources can
be ingested in near real-time and made available for interactive SQL Engines
like [Presto](https://prestodb.io) & [Spark](https://spark.apache.org/sql/),
while at the same time capable of being consumed incrementally from
processing/ETL frameworks like [Hive](https://hive.apache.org/) &
[Spark](https://spark.apache.org/docs/latest/) t [...]
+通过仔细地管理数据在存储中的布局和如何将数据暴露给查询，Hudi支持丰富的数据生态系统，在该系统中，外部数据源可被近实时摄取并被用于[presto](https://prestodb.io)和[spark](https://spark.apache.org/sql/)等交互式SQL引擎，同时能够从处理/ETL框架（如[hive](https://hive.apache.org/)&
[spark](https://spark.apache.org/docs/latest/)中进行增量消费以构建派生（Hudi）数据集。
-Hudi broadly consists of a self contained Spark library to build datasets and
integrations with existing query engines for data access. See
[quickstart](quickstart.html) for a demo.
+Hudi
大体上由一个自包含的Spark库组成，它用于构建数据集并与现有的数据访问查询引擎集成。有关演示，请参见[快速启动](quickstart.html)。
