[GitHub] [drill-site] luocooong commented on a change in pull request #13: zh-tutorial-translation

[GitBox <gi...@apache.org>]

luocooong commented on a change in pull request #13:
URL: https://github.com/apache/drill-site/pull/13#discussion_r748686328



##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/040-lesson-2-run-queries-with-ansi-sql.md
##########
@@ -6,28 +6,21 @@ lang: "zh"
 ---
 ## Goal

Review comment:
       Goal > 目标

##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/040-lesson-2-run-queries-with-ansi-sql.md
##########
@@ -313,13 +284,13 @@ supports the creation of metadata in the file system.
     |----------|-------------------|-----------|----------|--------|----------|-------------|
     1 row selected
 
-Once the users know what data is available by exploring it directly from the file system, views can be used as a way to read the data into downstream tools such as Tableau and MicroStrategy for analysis and visualization. For these tools, a view appears simply as a “table” with selectable “columns” in it.
+用户可以直接从文件系统中探索来了解哪些数据可用，视图可以将数据读入下游工具进行分析和可视化，就像 Tableau 和 MicroStrategy 一样。对于这些工具，视图仅显示为“表格”，其中包含可选择的“列”。

Review comment:
       "用户可以直接从文件系统中探索可用的数据"

##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/040-lesson-2-run-queries-with-ansi-sql.md
##########
@@ -94,14 +84,13 @@ is a reserved word in SQL.
     |-----------|--------|---------|
     20 rows selected 
 
-Note the alias for the result of the SUM function. Drill supports column
-aliases and table aliases.
+请注意 SUM 函数结果的别名。Drill 支持列别名和表别名。
 
-## HAVING Clause
+## HAVING 子句
 
-This query uses the HAVING clause to constrain an aggregate result.
+此查询使用 HAVING 子句来约束聚合结果。
 
-### Set the workspace to dfs.clicks
+### 将工作区设置为 dfs.clicks

Review comment:
       Missing the `:` at the end of line.
   And more, please check the title below.

##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/040-lesson-2-run-queries-with-ansi-sql.md
##########
@@ -6,28 +6,21 @@ lang: "zh"
 ---
 ## Goal
 
-This lesson shows how to do some standard SQL analysis in Apache Drill: for
-example, summarizing data by using simple aggregate functions and connecting
-data sources by using joins. Note that Apache Drill provides ANSI SQL support,
-not a “SQL-like” interface.
+本课展示了如何在 Apache Drill 中进行一些标准的 SQL 分析：例如，使用简单的聚合函数汇总数据以及联接不同数据源。请注意，Apache Drill 提供 ANSI SQL 支持，而不是 “SQL-like” 的接口。
 
-## Queries in This Lesson
+## 本课中的查询示例
 
-Now that you know what the data sources look like in their raw form, using
-select * queries, try running some simple but more useful queries on each data
-source. These queries demonstrate how Drill supports ANSI SQL constructs and
-also how you can combine data from different data sources in a single SELECT
-statement.
+假设用户知道数据源的原始形式，使用 select * 查询，尝试对每个数据源进行一些简单却实用的查询。这些查询展示了 Drill 如何支持 ANSI SQL 结构，以及如何在单个 SELECT 语句中组合来自不同数据源的数据。
 
-  * Show an aggregate query on a single file or table. Use GROUP BY, WHERE, HAVING, and ORDER BY clauses.
-  * Perform joins between Hive, MapR-DB, and file system data sources.
-  * Use table and column aliases.
-  * Create a Drill view.
+* 对单个文件或表的聚合查询。使用 GROUP BY、WHERE、HAVING 和 ORDER BY 子句。
+* 联接 Hive、MapR-DB 和文件系统数据源。
+* 使用表和列的别名。
+* 创建 Drill 视图。
 
-## Aggregation
+## 聚合
 
 
-### Set the schema to hive:
+### 设定 hive 的 schema

Review comment:
       Missing the `:` at the end of line.




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