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[GitHub] [drill-site] kingswanwho opened a new pull request #12: [DOC UPDATE] Translate Tutorial to Chinese 12/15
kingswanwho opened a new pull request #12:
URL: https://github.com/apache/drill-site/pull/12
# [DOC UPDATE] Translate Tutorial to Chinese 12/15
## Description
Translate a tutorial to Chinese:
030-lesson-1-learn-about-the-data-set.md
Overall 12 tutorials have been translated, 3 tutorials to go.
## Documentation
Please refer to Chinese tutorial.
## Testing
This is a doc update, no test here.
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[GitHub] [drill-site] kingswanwho commented on a change in pull request #12: [DOC UPDATE] Translate Tutorial to Chinese 12/15
Posted by GitBox <gi...@apache.org>.
kingswanwho commented on a change in pull request #12:
URL: https://github.com/apache/drill-site/pull/12#discussion_r730414473
##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/030-lesson-1-learn-about-the-data-set.md
##########
@@ -335,27 +276,19 @@ or characters.
|-----------|-------------|-----------|---------------------------------------------------|---------------------|----------------------------------------|
2 rows selected
-Notice that with a select * query, any complex data types such as maps and
-arrays return as JSON strings. You will see how to unpack this data using
-various SQL functions and operators in the next lesson.
+请注意，使用 select * 查询，任何复杂数据类型（例如映射和数组）都以 JSON 字符串形式返回。在下一课中，将学习如何使用各种 SQL 函数和运算符来解包这些数据。
-## Query Logs Data
+## 查询日志数据
-Unlike the previous example where we performed queries against clicks data in
-one file, logs data is stored as partitioned directories on the file system.
-The logs directory has three subdirectories:
+与前一个示例中对文件中的点击数据执行查询不同，日志数据存储为文件系统上的分区目录。日志目录有三个子目录：
* 2012
* 2013
* 2014
-Each of these year directories fans out to a set of numbered month
-directories, and each month directory contains a JSON file with log records
-for that month. The total number of records in all log files is 48000.
+这些年目录中都包含多个月目录，每个月目录都包含一个带有该月日志记录的 JSON 文件。所有日志文件总共包含 48000 条记录。
-The files in the logs directory and its subdirectories are JSON files. There
-are many of these files, but you can use Drill to query them all as a single
-data source, or to query a subset of the files.
+logs 目录及其子目录中是 JSON 文件。这些文件有很多，但用户可以使用 Drill 将它们全部作为单个数据源进行查询，或者查询文件的子集。
### Set the workspace to dfs.logs:
Review comment:
resovled
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[GitHub] [drill-site] luocooong merged pull request #12: [DOC UPDATE] Translate Tutorial to Chinese 12/15
Posted by GitBox <gi...@apache.org>.
luocooong merged pull request #12:
URL: https://github.com/apache/drill-site/pull/12
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[GitHub] [drill-site] luocooong commented on a change in pull request #12: [DOC UPDATE] Translate Tutorial to Chinese 12/15
Posted by GitBox <gi...@apache.org>.
luocooong commented on a change in pull request #12:
URL: https://github.com/apache/drill-site/pull/12#discussion_r730393304
##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/030-lesson-1-learn-about-the-data-set.md
##########
@@ -335,27 +276,19 @@ or characters.
|-----------|-------------|-----------|---------------------------------------------------|---------------------|----------------------------------------|
2 rows selected
-Notice that with a select * query, any complex data types such as maps and
-arrays return as JSON strings. You will see how to unpack this data using
-various SQL functions and operators in the next lesson.
+请注意，使用 select * 查询，任何复杂数据类型（例如映射和数组）都以 JSON 字符串形式返回。在下一课中，将学习如何使用各种 SQL 函数和运算符来解包这些数据。
-## Query Logs Data
+## 查询日志数据
-Unlike the previous example where we performed queries against clicks data in
-one file, logs data is stored as partitioned directories on the file system.
-The logs directory has three subdirectories:
+与前一个示例中对文件中的点击数据执行查询不同，日志数据存储为文件系统上的分区目录。日志目录有三个子目录：
* 2012
* 2013
* 2014
-Each of these year directories fans out to a set of numbered month
-directories, and each month directory contains a JSON file with log records
-for that month. The total number of records in all log files is 48000.
+这些年目录中都包含多个月目录，每个月目录都包含一个带有该月日志记录的 JSON 文件。所有日志文件总共包含 48000 条记录。
-The files in the logs directory and its subdirectories are JSON files. There
-are many of these files, but you can use Drill to query them all as a single
-data source, or to query a subset of the files.
+logs 目录及其子目录中是 JSON 文件。这些文件有很多，但用户可以使用 Drill 将它们全部作为单个数据源进行查询，或者查询文件的子集。
### Set the workspace to dfs.logs:
Review comment:
Loss the Chinese word, and the next title.
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[GitHub] [drill-site] kingswanwho commented on a change in pull request #12: [DOC UPDATE] Translate Tutorial to Chinese 12/15
Posted by GitBox <gi...@apache.org>.
kingswanwho commented on a change in pull request #12:
URL: https://github.com/apache/drill-site/pull/12#discussion_r730414473
##########
File path: _docs/zh/tutorials/learn-drill-with-the-mapr-sandbox/030-lesson-1-learn-about-the-data-set.md
##########
@@ -335,27 +276,19 @@ or characters.
|-----------|-------------|-----------|---------------------------------------------------|---------------------|----------------------------------------|
2 rows selected
-Notice that with a select * query, any complex data types such as maps and
-arrays return as JSON strings. You will see how to unpack this data using
-various SQL functions and operators in the next lesson.
+请注意，使用 select * 查询，任何复杂数据类型（例如映射和数组）都以 JSON 字符串形式返回。在下一课中，将学习如何使用各种 SQL 函数和运算符来解包这些数据。
-## Query Logs Data
+## 查询日志数据
-Unlike the previous example where we performed queries against clicks data in
-one file, logs data is stored as partitioned directories on the file system.
-The logs directory has three subdirectories:
+与前一个示例中对文件中的点击数据执行查询不同，日志数据存储为文件系统上的分区目录。日志目录有三个子目录：
* 2012
* 2013
* 2014
-Each of these year directories fans out to a set of numbered month
-directories, and each month directory contains a JSON file with log records
-for that month. The total number of records in all log files is 48000.
+这些年目录中都包含多个月目录，每个月目录都包含一个带有该月日志记录的 JSON 文件。所有日志文件总共包含 48000 条记录。
-The files in the logs directory and its subdirectories are JSON files. There
-are many of these files, but you can use Drill to query them all as a single
-data source, or to query a subset of the files.
+logs 目录及其子目录中是 JSON 文件。这些文件有很多，但用户可以使用 Drill 将它们全部作为单个数据源进行查询，或者查询文件的子集。
### Set the workspace to dfs.logs:
Review comment:
resolved
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