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new 823411e gh-pages tutorial zh translation
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commit 823411e1dd40e037ad87f66d5316e139f95ba9fa
Author: kingswanwho <[email protected]>
AuthorDate: Tue Jul 20 09:55:27 2021 +0800
gh-pages tutorial zh translation
---
.../030-analyzing-the-yelp-academic-dataset.md | 143 +++++++++------------
.../040-learn-drill-with-the-mapr-sandbox.md | 42 +++---
.../005-about-the-mapr-sandbox.md | 17 +--
3 files changed, 84 insertions(+), 118 deletions(-)
diff --git a/_docs/zh/tutorials/030-analyzing-the-yelp-academic-dataset.md
b/_docs/zh/tutorials/030-analyzing-the-yelp-academic-dataset.md
index e5c0ca3..9d450c8 100644
--- a/_docs/zh/tutorials/030-analyzing-the-yelp-academic-dataset.md
+++ b/_docs/zh/tutorials/030-analyzing-the-yelp-academic-dataset.md
@@ -4,41 +4,33 @@ slug: "Analyzing the Yelp Academic Dataset"
parent: "教程"
lang: "zh"
---
-Apache Drill is one of the fastest growing open source projects, with the
community making rapid progress with monthly releases. The key difference is
Drill’s agility and flexibility.
-Along with meeting the table stakes for SQL-on-Hadoop, which is to achieve low
-latency performance at scale, Drill allows users to analyze the data without
-any ETL or up-front schema definitions. The data can be in any file format
-such as text, JSON, or Parquet. Data can have simple types such as strings,
-integers, dates, or more complex multi-structured data, such as nested maps and
-arrays. Data can exist in any file system, local or distributed, such as HDFS
or S3. Drill, has a “no schema” approach, which enables you to get
-value from your data in just a few minutes.
-
-Let’s quickly walk through the steps required to install Drill and run it
-against the Yelp data set. The publicly available data set used for this
-example is downloadable from [Yelp](http://www.yelp.com/dataset_challenge)
-(business reviews) and is in JSON format.
+
+Drill 的与众不同之处在于敏捷性和灵活性。
+为了满足 SQL 查询 Hadoop，并规模化减少延迟，Drill 允许用户不必进行 ETL 流程或者 预先定义
schema。文件可以是任意格式，比如：纯文本，JSON 或者 Parquet。
+数据可以是简单的字符串，整数，日期，也可以是更复杂的多结构数据，比如嵌套Map和数组。数据可以保存在任意文件系统，本地或者分布式，比如 HDFS 或者
S3。Drill 具备 “no schema” 方法，
+使你可以在几分钟内从你的数据中得到数值。
+
+让我们一起快速的安装 Drill 并加载 Yelp
数据集的步骤。示例中所用的公开数据集下载自[Yelp](http://www.yelp.com/dataset_challenge)（商家回顾），数据格式为
JSON。
----------
-## Installing and Starting Drill
+## 安装并运行 Drill
-### Download Apache Drill onto your local machine
+### 下载 Drill 到你的电脑中
-To experiment with Drill locally, follow the installation instructions in
[Drill in 10 Minutes]({{site.baseurl}}/docs/drill-in-10-minutes/).
+本地试用 Drill，请遵循此安装指南[10分钟了解 Drill]({{site.baseurl}}/docs/drill-in-10-minutes/)。
-Alternatively, you can [install Drill in distributed mode]({{ site.baseurl
}}/docs/installing-drill-in-distributed-mode) if you
-want to scale your environment.
+另一种方案，如果你想扩展你的环境，你可以[分布式安装
Drill]({{site.baseurl}}/docs/installing-drill-in-distributed-mode)。
-Let’s try out some SQL examples to understand how Drill makes the raw data
-analysis extremely easy.
+我们一起尝试一些 SQL 示例来了解 Drill 如何将原始数据分析变得如此简单。
-{% include startnote.html %}You need to substitute your local path to the Yelp
data set in the angle-bracketed portion of the FROM clause of each query you
run.{% include endnote.html %}
+{% include startnote.html %}你需要将每次查询语句中 FROM 部分尖括号中的内容替换成你本地存储 Yelp 数据的路径。{%
include endnote.html %}
----------
-## Querying Data with Drill
-
-### 1\. View the contents of the Yelp business data
+## 通过 Drill 查询数据
+
+### 1\. 查看 Yelp 商家数据的内容
0: jdbc:drill:zk=local> !set maxwidth 10000
@@ -52,13 +44,13 @@ analysis extremely easy.
| vcNAWiLM4dR7D2nwwJ7nCA | 4840 E Indian School Rd Ste 101, Phoenix, AZ
85018 | fill
in{"Tuesday":{"close":"17:00","open":"08:00"},"Friday":{"close":"17:00","open":"08:00"},"Monday":{"close":"17:00","open":"08:00"},"Wednesday":{"close":"17:00","open":"08:00"},"Thursday":{"close":"17:00","open":"08:00"},"Sunday":{},"Saturday":{}}
| true | ["Doctors","Health & Medical"] | Phoenix | 7 | Eric
Goldberg, MD | -111.983758 | AZ | 3.5 | 33.499313 | {"By Appointment
Only":true, [...]
|------------------------|----------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------|--------------------------------|---------|--------------|-------------------|-------------|-------|-------|-----------|-----------------------------
[...]
-{% include startnote.html %}This document aligns Drill output for example
purposes. Drill output is not aligned in this case.{% include endnote.html %}
+{% include startnote.html %}本文档为了展示目的对齐了 Drill 的输出。实际上 Drill 的输出不会这样对齐。{%
include endnote.html %}
-You can directly query self-describing files such as JSON, Parquet, and text.
There is no need to create metadata definitions in the Hive metastore.
+你可以直接查询自我描述的文件格式，如 JSON，Parquet，和纯文本。不必为 Hive 元存储创建元数据。
-### 2\. Explore the business data set further
+### 2\. 更进一步探索商家数据集
-#### Total reviews in the data set
+#### 数据集中的总评价数
0: jdbc:drill:zk=local> select sum(review_count) as totalreviews
from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`;
@@ -69,7 +61,7 @@ You can directly query self-describing files such as JSON,
Parquet, and text. Th
| 1236445 |
|--------------|
-#### Top states and cities in total number of reviews
+#### 评论数最高的州和城市
0: jdbc:drill:zk=local> select state, city, count(*) totalreviews
from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
@@ -90,7 +82,7 @@ You can directly query self-describing files such as JSON,
Parquet, and text. Th
| AZ | Glendale | 1196 |
|------------|------------|--------------|
-#### Average number of reviews per business star rating
+#### 每个评分星级下的平均评论数
0: jdbc:drill:zk=local> select stars,trunc(avg(review_count)) reviewsavg
from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
@@ -110,7 +102,7 @@ You can directly query self-describing files such as JSON,
Parquet, and text. Th
| 1.0 | 4.0 |
|------------|------------|
-#### Top businesses with high review counts (> 1000)
+#### 评论数最多的商家 (> 1000)
0: jdbc:drill:zk=local> select name, state, city, `review_count` from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
@@ -131,7 +123,7 @@ You can directly query self-describing files such as JSON,
Parquet, and text. Th
| Aria Hotel & Casino | NV | Las Vegas | 2224
|
|-------------------------------|-------------|----------------------------|
-#### Saturday open and close times for a few businesses
+#### 一些商家周六的营业时间
0: jdbc:drill:zk=local> select b.name, b.hours.Saturday.`open`,
b.hours.Saturday.`close`
@@ -154,17 +146,14 @@ You can directly query self-describing files such as
JSON, Parquet, and text. Th
| Spartan Animal Hospital | 07:30 | 18:00 |
|----------------------------|------------|------------|
-Note how Drill can traverse and refer through multiple levels of nesting.
+请注意 Drill 如何遍历和引用多层级的嵌套数据。
+
-### 3\. Get the amenities of each business in the data set
+### 3\. 从数据集中得到每个商家的便利设施情况
-Note that the attributes column in the Yelp business data set has a different
-element for every row, representing that businesses can have separate
-amenities. Drill makes it easy to quickly access data sets with changing
-schemas.
+请注意 Yelp 商家数据集中，属性列的每一行都有不同的元素，代表商家有不同的便利设施。Drill 通过改变 schema 更简单的快速访问数据集。
-First, change Drill to work in all text mode (so we can take a look at all of
-the data).
+首先，更改配置使 Drill 可以识别所有的文本格式（我们便可查看所有的数据）。
0: jdbc:drill:zk=local> alter system set `store.json.all_text_mode` = true;
|------------|-----------------------------------|
@@ -173,7 +162,7 @@ the data).
| true | store.json.all_text_mode updated. |
|------------|-----------------------------------|
-Then, query the attribute’s data.
+接下来，查询 "attribute" 所对应的数据。
0: jdbc:drill:zk=local> select attributes from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` limit 10;
@@ -192,10 +181,9 @@ Then, query the attribute’s data.
| {"Good For":{},"Ambience":{},"Parking":{},"Music":{},"Hair Types
Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}}
|
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-{% include startnote.html %}This document aligns Drill output for example
purposes. Drill output is not aligned in this case.{% include endnote.html %}
+{% include startnote.html %}本文档为了展示目的对齐了 Drill 的输出。实际上 Drill 的输出不会这样对齐。{%
include endnote.html %}
-Turn off the all text mode so we can continue to perform arithmetic operations
-on data.
+关闭所有的文本格式，我们可以继续对数据进行算数操作。
0: jdbc:drill:zk=local> alter system set `store.json.all_text_mode` =
false;
|-------|------------------------------------|
@@ -204,9 +192,9 @@ on data.
| true | store.json.all_text_mode updated. |
|-------|------------------------------------|
-### 4\. Explore the restaurant businesses in the data set
+### 4\. 探索数据集中所有的餐饮商家
-#### Number of restaurants in the data set
+#### 数据集中所有的餐厅
0: jdbc:drill:zk=local> select count(*) as TotalRestaurants from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` where
true=repeated_contains(categories,'Restaurants');
|------------------|
@@ -215,7 +203,7 @@ on data.
| 14303 |
|------------------|
-#### Top restaurants in number of reviews
+#### 评论最多的餐厅
0: jdbc:drill:zk=local> select name,state,city,`review_count` from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` where
true=repeated_contains(categories,'Restaurants') order by `review_count` desc
limit 10;
@@ -234,7 +222,7 @@ on data.
| Mesa Grill | NV | Las Vegas | 2004 |
|------------------------|-------|-----------|--------------|
-#### Top restaurants in number of listed categories
+#### 商品种类最多的餐厅
0: jdbc:drill:zk=local> select name,repeated_count(categories) as
categorycount, categories from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` where
true=repeated_contains(categories,'Restaurants') order by
repeated_count(categories) desc limit 10;
@@ -253,9 +241,9 @@ on data.
| House of Blues | 8 | ["Arts &
Entertainment","Music Venues","Restaurants","Hotels","Event Planning &
Services","Hotels & Travel","American (New)","Nightlife"] |
|---------------------------------|---------------|---------------------------------------------------------------------------------------------------------------------------------------------------|
-{% include startnote.html %}This document aligns Drill output for example
purposes. Drill output is not aligned in this case.{% include endnote.html %}
+{% include startnote.html %}本文档为了展示目的对齐了 Drill 的输出。实际上 Drill 的输出不会这样对齐。{%
include endnote.html %}
-#### Top first categories in number of review counts
+#### 评论最多的商品种类
0: jdbc:drill:zk=local> select categories[0], count(categories[0]) as
categorycount
from dfs.`/<path-to-yelp-dataset>/yelp_academic_dataset_business.json`
@@ -277,9 +265,9 @@ on data.
| Hair Salons | 901 |
|----------------------|---------------|
-### 5\. Explore the Yelp reviews dataset and combine with the businesses.
+### 5\. 探索 Yelp 评论数据集和商家信息。
-#### Take a look at the contents of the Yelp reviews dataset.
+#### 查看 Yelp 评论数据集。
0: jdbc:drill:zk=local> select *
from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_review.json`
limit 1;
@@ -289,11 +277,9 @@ on data.
| {"funny":0,"useful":2,"cool":1} | Xqd0DzHaiyRqVH3WRG7hzg |
15SdjuK7DmYqUAj6rjGowg | 5 | 2007-05-17 | dr. goldberg offers everything i
look for in a general practitioner. | review | vcNAWiLM4dR7D2nwwJ7nCA |
|---------------------------------|------------------------|------------------------|-------|------------|----------------------------------------------------------------------|--------|------------------------|
-#### Top businesses with cool rated reviews
+#### 拥有最多好评的商家
-Note that we are combining the Yelp business data set that has the overall
-review_count to the Yelp review data, which holds additional details on each
-of the reviews themselves.
+注意，我们连接了 Yelp 商户数据集和评论数据集，所以具有了 Yelp 评论数据的整体评论数，使每一个评论具有了更详细的信息。
0: jdbc:drill:zk=local> Select b.name
from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` b
@@ -310,13 +296,11 @@ of the reviews themselves.
| Wicked Spoon |
|-------------------------------|
-#### Create a view with the combined business and reviews data sets
+#### 创建了连接商户和评论数据集后的视图
-Note that Drill views are lightweight, and can just be created in the local
-file system. Drill in standalone mode comes with a dfs.tmp workspace, which we
-can use to create views (or you can can define your own workspaces on a local
-or distributed file system). If you want to persist the data physically
-instead of in a logical view, you can use CREATE TABLE AS syntax.
+Drill 的视图是轻量级的，且只是创建在本地文件系统。
+Drill 在独立模式运行下，会有一个 dfs.tmp 工作空间，我们会用来创建视图（或者你可以在本地文件系统或者分布式文件系统上自定义工作空间）。
+如果你想保存这些视图，可以使用 CREATE TABLE AS 语法。
0: jdbc:drill:zk=local> create or replace view dfs.tmp.businessreviews as
Select
b.name,b.stars,b.state,b.city,r.votes.funny,r.votes.useful,r.votes.cool,
r.`date`
@@ -328,7 +312,7 @@ instead of in a logical view, you can use CREATE TABLE AS
syntax.
| true | View 'businessreviews' created successfully in 'dfs.tmp'
schema |
|------------|-----------------------------------------------------------------|
-Let’s get the total number of records from the view.
+我们得到视图中的总记录数
0: jdbc:drill:zk=local> select count(*) as Total from
dfs.tmp.businessreviews;
|------------|
@@ -337,21 +321,16 @@ Let’s get the total number of records from the view.
| 1125458 |
|------------|
-In addition to these queries, you can get many deep insights using
-Drill’s [SQL functionality]({{ site.baseurl }}/docs/sql-reference). If you are
not comfortable with writing queries manually, you
-can use a BI/Analytics tools such as Tableau/MicroStrategy to query raw
-files/Hive/HBase data or Drill-created views directly using Drill [ODBC/JDBC
-drivers]({{ site.baseurl }}/docs/odbc-jdbc-interfaces).
+在这些查询之外，你可以利用 Drill 的 [SQL 函数]({{ site.baseurl }}/docs/sql-reference) 进行更深入的分析。
+如果你不习惯手写查询，你可以利用商务智能分析工具如 Tableau/MicroStrategy 来查询原始 文件/Hive/HBase
数据，或者通过[ODBC/JDBC
+drivers]({{ site.baseurl }}/docs/odbc-jdbc-interfaces)直接创建 Drill 视图。
-The goal of Apache Drill is to provide the freedom and flexibility in
-exploring data in ways we have never seen before with SQL technologies. The
-community is working on more exciting features around nested data and
-supporting data with changing schemas in upcoming releases.
+Apache Drill 的目标在于通过 SQL 技术自由和灵活的探索数据。社区正在围绕嵌套数据努力提供更多令人兴奋的特性，
+并在接下来的版本中支持更改数据的 schema。
-The FLATTEN function can be used to dynamically rationalize semi-structured
-data so you can apply even deeper SQL functionality. Here is a sample query:
+FLATTEN 函数可以动态的合理化半结构数据，可以帮助你应用于更复杂的 SQL 函数。参考下列示例：
-#### Get a flattened list of categories for each business
+#### 得到每个商户的平面化商品种类列表
0: jdbc:drill:zk=local> select name, flatten(categories) as category
from
dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` limit
20;
@@ -380,7 +359,7 @@ data so you can apply even deeper SQL functionality. Here
is a sample query:
| Spartan Animal Hospital | Veterinarians |
|-----------------------------|---------------------------------|
-#### Top categories used in business reviews
+#### 商户评论中提到最多的商品种类
0: jdbc:drill:zk=local> select celltbl.catl, count(celltbl.catl)
categorycnt
from (select flatten(categories) catl from
dfs.`/yelp_academic_dataset_business.json` ) celltbl
@@ -401,12 +380,12 @@ data so you can apply even deeper SQL functionality. Here
is a sample query:
| Fashion | 1897 |
|------------------|-------------|
-Stay tuned for more features and upcoming activities in the Drill community.
+与 Drill 社区保持密切联系来获得更多的特性以及了解即将到来的活动。
-To learn more about Drill, please refer to the following resources:
+想更多了解 Drill，请参考如下资源：
- * Download Drill here: <http://getdrill.org/drill/download>
- * [10 reasons we think Drill is cool]({{site.baseurl}}/docs/why-drill)
- * [A simple 10-minute tutorial]({{ site.baseurl }}/docs/drill-in-10-minutes>)
- * [More tutorials]({{ site.baseurl }}/docs/tutorials-introduction/)
+ * 下载 Drill: ({{ site.baseurl }}/download/)
+ * [选择 Drill 的十个原因]({{site.baseurl}}/docs/why-drill)
+ * [简单的10分钟教程]({{ site.baseurl }}/docs/drill-in-10-minutes>)
+ * [更多教程]({{ site.baseurl }}/docs/tutorials-introduction/)
diff --git a/_docs/zh/tutorials/040-learn-drill-with-the-mapr-sandbox.md
b/_docs/zh/tutorials/040-learn-drill-with-the-mapr-sandbox.md
index 7d577c2..8c53769 100644
--- a/_docs/zh/tutorials/040-learn-drill-with-the-mapr-sandbox.md
+++ b/_docs/zh/tutorials/040-learn-drill-with-the-mapr-sandbox.md
@@ -4,34 +4,24 @@ slug: "Learn Drill with the MapR Sandbox"
parent: "教程"
lang: "zh"
---
-This tutorial uses the MapR Sandbox, which is a Hadoop environment pre-
-configured with Apache Drill.
+这个教程使用 MapR sandbox，是一个预装了 Apache Drill 的 Hadoop 环境。
-To complete the tutorial on the MapR Sandbox with Apache Drill, work through
-the following pages in order:
+要完成本个预装 Apache Drill 的 MapR Sandbox 教程，请按顺序完成下列页面中的步骤。
- * [Installing the Apache Drill Sandbox]({{ site.baseurl
}}/docs/installing-the-apache-drill-sandbox)
- * [Getting to Know the Drill Setup]({{ site.baseurl
}}/docs/getting-to-know-the-drill-sandbox)
- * [Lesson 1: Learn About the Data Set]({{ site.baseurl
}}/docs/lesson-1-learn-about-the-data-set)
- * [Lesson 2: Run Queries with ANSI SQL]({{ site.baseurl
}}/docs/lesson-2-run-queries-with-ansi-sql)
- * [Lesson 3: Run Queries on Complex Data Types]({{ site.baseurl
}}/docs/lesson-3-run-queries-on-complex-data-types)
- * [Summary]({{ site.baseurl }}/docs/summary)
+ * [安装 Apache Drill sandbox]({{ site.baseurl
}}/docs/installing-the-apache-drill-sandbox)
+ * [了解 Drill sandbox 的设置]({{ site.baseurl
}}/docs/getting-to-know-the-drill-sandbox)
+ * [第一课: 学习数据集]({{ site.baseurl }}/docs/lesson-1-learn-about-the-data-set)
+ * [第二课: 使用 ANSI SQL 查询]({{ site.baseurl
}}/docs/lesson-2-run-queries-with-ansi-sql)
+ * [第三课: 查询复杂数据类型]({{ site.baseurl
}}/docs/lesson-3-run-queries-on-complex-data-types)
+ * [总结]({{ site.baseurl }}/docs/summary)
-## MapR Sandbox with Apache Drill
+## 预装 Apache Drill 的 MapR sandbox
+预装了 Apache Drill 的 MapR sandbox 是 Hadoop 环境的一部分。预装 Apache Drill 的 MapR sandbox
+一个全功能的单节点集群，可以用来对 Hadoop 环境中的 Apache Drill 有一个全面了解。
+商业和技术分析师，产品经理，开发者可以使用 sandbox 环境进行多种类型的查询来体验 Apache Drill 强大的功能。
+一旦你对 Drill 产生兴趣，参考 [Apache Drill 官方网站](http://drill.apache.org) 和 [Apache
Drill 文档]({{ site.baseurl }}/docs)
+来获取更多详细信息。
-MapR includes Apache Drill as part of the Hadoop distribution. The MapR
-Sandbox with Apache Drill is a fully functional single-node cluster that can
-be used to get an overview on Apache Drill in a Hadoop environment. Business
-and technical analysts, product managers, and developers can use the sandbox
-environment to get a feel for the power and capabilities of Apache Drill by
-performing various types of queries. Once you get a flavor for the technology,
-refer to the [Apache Drill web site](http://drill.apache.org) and
-[Apache Drill documentation
-]({{ site.baseurl }}/docs)for more
-details.
-
-Hadoop is not a prerequisite for Drill and users can start ramping
-up with Drill by running SQL queries directly on the local file system. Refer
-to [Apache Drill in 10 minutes]({{ site.baseurl }}/docs/drill-in-10-minutes)
for an introduction to using Drill in local
-(embedded) mode.
+Hadoop 不是使用 Drill 的必备条件，用户可以直接在本地文件系统安装并启动 Drill，同时进行 SQL 查询。参考
+[10分钟了解 Drill]({{ site.baseurl }}/docs/drill-in-10-minutes)
来学习在本地文件系统（嵌入式模式）中使用 Drill。
diff --git
a/_docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/005-about-the-mapr-sandbox.md
b/_docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/005-about-the-mapr-sandbox.md
index 3e25240..a317548 100644
---
a/_docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/005-about-the-mapr-sandbox.md
+++
b/_docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/005-about-the-mapr-sandbox.md
@@ -4,15 +4,12 @@ slug: "About the MapR Sandbox"
parent: "搭配 MapR Sandbox 学习 Drill"
lang: "zh"
---
-This tutorial uses the MapR Sandbox, which is a Hadoop environment
pre-configured with Drill. MapR includes Drill as part of the Hadoop
distribution. The MapR
-Sandbox with Drill is a fully functional single-node cluster that can
-be used to get an overview of Drill in a Hadoop environment. Business
-and technical analysts, product managers, and developers can use the sandbox
-environment to get a feel for the power and capabilities of Drill by
-performing various types of queries.
+这个教程使用 MapR sandbox，是一个预装了 Apache Drill 的 Hadoop 环境。 预装了 Apache Drill 的 MapR
sandbox 是 Hadoop 环境的一部分。预装 Apache Drill 的 MapR sandbox
+一个全功能的单节点集群，可以用来对 Hadoop 环境中的 Apache Drill 有一个全面了解。
+商业和技术分析师，产品经理，开发者可以使用 sandbox 环境进行多种类型的查询来体验 Apache Drill 强大的功能。
+一旦你对 Drill 产生兴趣，参考 [Apache Drill 官方网站](http://drill.apache.org) 和 [Apache
Drill 文档]({{ site.baseurl }}/docs)
+来获取更多详细信息。
-Hadoop is not a prerequisite for Drill and users can start ramping
-up with Drill by running SQL queries directly on the local file system. Refer
-to [Apache Drill in 10 minutes]({{ site.baseurl }}/docs/drill-in-10-minutes)
for an introduction to using Drill in local
-(embedded) mode.
+Hadoop 不是使用 Drill 的必备条件，用户可以直接在本地文件系统安装并启动 Drill，同时进行 SQL 查询。参考
+[10分钟了解 Drill]({{ site.baseurl }}/docs/drill-in-10-minutes)
来学习在本地文件系统（嵌入式模式）中使用 Drill。
