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Posted to dev@drill.apache.org by GitBox <gi...@apache.org> on 2021/06/28 13:53:45 UTC
[GitHub] [drill] kingswanwho opened a new pull request #2266: [DOC UPDATE] Index.html Chinese Translation
kingswanwho opened a new pull request #2266:
URL: https://github.com/apache/drill/pull/2266
# [DOC UPDATE] Index.html Chinese Translation
## Description
Translate Index.html to Chinese version which referred to READ.me of gh-pages and the timely instruction from @dzamo (James Turton).
## Documentation
This is a translation PR, reference to drill/gh-pages/zh/index.html
## Testing
This is a translation PR, no test here.
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[GitHub] [drill] kingswanwho closed pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
kingswanwho closed pull request #2266:
URL: https://github.com/apache/drill/pull/2266
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[GitHub] [drill] luocooong commented on a change in pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
luocooong commented on a change in pull request #2266:
URL: https://github.com/apache/drill/pull/2266#discussion_r662197592
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
+ </td>
+ <td class="fam">
+ <h1>易上手</h1>
+ <p>充分利用你已具备的SQL技术栈和BI工具，包括Tableau, Qlikview, MicroStrategy, Spotfire, Excel等等。</a></p>
+ </td>
+ </tr>
</tbody>
</table>
</div>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
<div class="description">
- <h1>Query any non-relational datastore (well, almost...)</h1>
- <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
- <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
+ <h1>无所不能：几乎可以对任何非关系型数据库进行查询</h1>
Review comment:
Recommended to replace that :
无处不在：几乎可以查询任何类型的NoSQL
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
+ </td>
+ <td class="fam">
+ <h1>易上手</h1>
+ <p>充分利用你已具备的SQL技术栈和BI工具，包括Tableau, Qlikview, MicroStrategy, Spotfire, Excel等等。</a></p>
+ </td>
+ </tr>
</tbody>
</table>
</div>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
<div class="description">
- <h1>Query any non-relational datastore (well, almost...)</h1>
- <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
- <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
+ <h1>无所不能：几乎可以对任何非关系型数据库进行查询</h1>
+ <p>Drill支持多种类型的NoSQL数据库和文件系统, 包括 HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS和本地文件。单个查询可以连接来自不同数据存储的数据。 比如, 你可以连接来自MongoDB的用户档案和来自Hadoop的事件日志。</p>
Review comment:
Recommended to replace that :
... 包含 Hbase、MongoDB、ElasticSearch、Cassandra、Druid、Kudu、Kafka、OpenTSDB、HDFS、Amazon S3、Azure Blob Storage、Google Cloud Storage、Swift、NAS和本地文件。可以在单次查询中组合多个数据源（联邦查询）。（后续文字删除）
##########
File path: zh/index.html
##########
@@ -127,18 +126,18 @@ <h1>Kiss the overhead goodbye and enjoy data agility</h1>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it's not</h1>
- <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
- <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
+ <h1>化繁为简：非表格类数据也可以像表格数据一样处理</h1>
+ <p>Drill可以抽象出JSON数据的模型，使你可以对如今所有流行以及快速衍变的非关系型数据存储的复杂嵌套数据格式进行查询。同时，Drill提供了对SQL的直观拓宽，使你可以对复杂的数据直接进行SQL查询。
+ <p>Drill是列式查询引擎中唯一支持复杂数据检索的. Drill通过将复杂数据转换为存内的碎片列数据格式，使复杂的内部JSON文档模型也可以实现列数据的检索速度。</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
</div>
<div class="home-row">
<div class="description">
- <h1>Keep using the BI tools you love</h1>
- <p>Drill supports standard SQL. Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel to interact with non-relational datastores by leveraging Drill's JDBC and ODBC drivers. Developers can leverage Drill's simple REST API in their custom applications to create beautiful visualizations.</p>
- <p>Drill's virtual datasets allow even the most complex, non-relational data to be mapped into BI-friendly structures which users can explore and visualize using their tool of choice.</p>
+ <h1>简单易学：持续兼容你熟悉的BI工具</h1>
+ <p>Drill支持标准的SQL。商务用户，分析师，数据科学家可以通过Drill的JDBC或者ODBC接口继续使用标准的BI以及分析工具，例如:Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel，来继续和非关系型数据存储交互。开发者可以在他们自定义的应用中利用Drill简单的REST API将数据可视化。</p>
Review comment:
Recommended to replace that :
Drill支持标准的 ANSI SQL...
...JDBC或者ODBC驱动在标准的BI和分析工具上运行。
...和 Excel，开发者也可以在他们的应用中使用RESTful API（支持流式响应）来定制数据可视化。
##########
File path: zh/index.html
##########
@@ -160,13 +159,13 @@ <h1>Scale from one laptop to 1000s of servers</h1>
<div class="home-row">
<div class="description">
- <h1>No more waiting for coffee</h1>
- <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
-<li>Columnar execution engine (the first ever to support complex data!)</li>
-<li>Data-driven compilation and recompilation at execution time</li>
-<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
-<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
-<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
+ <h1>快速响应：泡制一杯咖啡的时间</h1>
+ <p>Drill不是第一款查询引擎, 但却是第一款兼顾了复杂性和检索速度的查询引擎。为了实现这一点, Drill设计了完全不同的架构，使得在不牺牲由JSON文档模型带来的复杂性前提上，实现了创纪录的检索速度。Drill的新设计包括：<ul>
+ <li>列式执行引擎 (第一款支持复杂数据的列式执行引擎)</li>
+ <li>在执行时以数据驱动的编译和重编译</li>
+ <li>独特的内存管理来减少内存印记以避免垃圾回收</li>
Review comment:
Recommended to replace that :
专有的内存管理技术以减少内存占用和避免频繁垃圾回收
##########
File path: zh/index.html
##########
@@ -127,18 +126,18 @@ <h1>Kiss the overhead goodbye and enjoy data agility</h1>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it's not</h1>
- <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
- <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
+ <h1>化繁为简：非表格类数据也可以像表格数据一样处理</h1>
+ <p>Drill可以抽象出JSON数据的模型，使你可以对如今所有流行以及快速衍变的非关系型数据存储的复杂嵌套数据格式进行查询。同时，Drill提供了对SQL的直观拓宽，使你可以对复杂的数据直接进行SQL查询。
+ <p>Drill是列式查询引擎中唯一支持复杂数据检索的. Drill通过将复杂数据转换为存内的碎片列数据格式，使复杂的内部JSON文档模型也可以实现列数据的检索速度。</p>
Review comment:
Recommended to replace that :
Drill是一款支持复杂数据的列式查询引擎。而且支持在内存中用列式表达复杂数据，所以查询JSON数据模型的速度可以媲美列式格式。
##########
File path: zh/index.html
##########
@@ -160,13 +159,13 @@ <h1>Scale from one laptop to 1000s of servers</h1>
<div class="home-row">
<div class="description">
- <h1>No more waiting for coffee</h1>
- <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
-<li>Columnar execution engine (the first ever to support complex data!)</li>
-<li>Data-driven compilation and recompilation at execution time</li>
-<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
-<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
-<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
+ <h1>快速响应：泡制一杯咖啡的时间</h1>
+ <p>Drill不是第一款查询引擎, 但却是第一款兼顾了复杂性和检索速度的查询引擎。为了实现这一点, Drill设计了完全不同的架构，使得在不牺牲由JSON文档模型带来的复杂性前提上，实现了创纪录的检索速度。Drill的新设计包括：<ul>
+ <li>列式执行引擎 (第一款支持复杂数据的列式执行引擎)</li>
+ <li>在执行时以数据驱动的编译和重编译</li>
+ <li>独特的内存管理来减少内存印记以避免垃圾回收</li>
+ <li>通过将Drill与数据存储协同配置以实现本地化感知执行来减少网络通讯</li>
+ <li>先进的资源开销优化器来促使数据处理在数据存储中完成</li></ul></p>
Review comment:
Recommended to replace that :
利用查询优化器的CBO和RBO技术将查询尽可能下推到数据库
##########
File path: zh/index.html
##########
@@ -127,18 +126,18 @@ <h1>Kiss the overhead goodbye and enjoy data agility</h1>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it's not</h1>
- <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
- <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
+ <h1>化繁为简：非表格类数据也可以像表格数据一样处理</h1>
+ <p>Drill可以抽象出JSON数据的模型，使你可以对如今所有流行以及快速衍变的非关系型数据存储的复杂嵌套数据格式进行查询。同时，Drill提供了对SQL的直观拓宽，使你可以对复杂的数据直接进行SQL查询。
+ <p>Drill是列式查询引擎中唯一支持复杂数据检索的. Drill通过将复杂数据转换为存内的碎片列数据格式，使复杂的内部JSON文档模型也可以实现列数据的检索速度。</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
</div>
<div class="home-row">
<div class="description">
- <h1>Keep using the BI tools you love</h1>
- <p>Drill supports standard SQL. Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel to interact with non-relational datastores by leveraging Drill's JDBC and ODBC drivers. Developers can leverage Drill's simple REST API in their custom applications to create beautiful visualizations.</p>
- <p>Drill's virtual datasets allow even the most complex, non-relational data to be mapped into BI-friendly structures which users can explore and visualize using their tool of choice.</p>
+ <h1>简单易学：持续兼容你熟悉的BI工具</h1>
+ <p>Drill支持标准的SQL。商务用户，分析师，数据科学家可以通过Drill的JDBC或者ODBC接口继续使用标准的BI以及分析工具，例如:Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel，来继续和非关系型数据存储交互。开发者可以在他们自定义的应用中利用Drill简单的REST API将数据可视化。</p>
+ <p>Drill的虚拟数据集可以将最复杂的非关系型数据对应到兼容BI的结构，帮助用户挖掘和可视化数据。</p>
Review comment:
Recommended to replace that :
...将复杂的NoSQL数据结构对应到...
##########
File path: zh/index.html
##########
@@ -148,9 +147,9 @@ <h1>Keep using the BI tools you love</h1>
$ cd apache-drill-<version>
$ bin/drill-embedded</pre></div>
<div class="description">
- <h1>Scale from one laptop to 1000s of servers</h1>
- <p>We made it easy to download and run Drill on your laptop. It runs on Mac, Windows and Linux, and within a minute or two you'll be exploring your data. When you're ready for prime time, deploy Drill on a cluster of commodity servers and take advantage of the world's most scalable and high performance execution engine.
- <p>Drill's symmetrical architecture (all nodes are the same) and simple installation make it easy to deploy and operate very large clusters.</p>
+ <h1>易于扩展：从一台主机到一千台服务器</h1>
Review comment:
Recommended to replace that :
水平扩展...
##########
File path: zh/index.html
##########
@@ -127,18 +126,18 @@ <h1>Kiss the overhead goodbye and enjoy data agility</h1>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it's not</h1>
- <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
- <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
+ <h1>化繁为简：非表格类数据也可以像表格数据一样处理</h1>
+ <p>Drill可以抽象出JSON数据的模型，使你可以对如今所有流行以及快速衍变的非关系型数据存储的复杂嵌套数据格式进行查询。同时，Drill提供了对SQL的直观拓宽，使你可以对复杂的数据直接进行SQL查询。
+ <p>Drill是列式查询引擎中唯一支持复杂数据检索的. Drill通过将复杂数据转换为存内的碎片列数据格式，使复杂的内部JSON文档模型也可以实现列数据的检索速度。</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
</div>
<div class="home-row">
<div class="description">
- <h1>Keep using the BI tools you love</h1>
- <p>Drill supports standard SQL. Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel to interact with non-relational datastores by leveraging Drill's JDBC and ODBC drivers. Developers can leverage Drill's simple REST API in their custom applications to create beautiful visualizations.</p>
- <p>Drill's virtual datasets allow even the most complex, non-relational data to be mapped into BI-friendly structures which users can explore and visualize using their tool of choice.</p>
+ <h1>简单易学：持续兼容你熟悉的BI工具</h1>
Review comment:
Recommended to replace that :
简单易用：继续使用你喜欢的BI工具
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
+ </td>
+ <td class="fam">
+ <h1>易上手</h1>
+ <p>充分利用你已具备的SQL技术栈和BI工具，包括Tableau, Qlikview, MicroStrategy, Spotfire, Excel等等。</a></p>
+ </td>
+ </tr>
</tbody>
</table>
</div>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
<div class="description">
- <h1>Query any non-relational datastore (well, almost...)</h1>
- <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
- <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
+ <h1>无所不能：几乎可以对任何非关系型数据库进行查询</h1>
+ <p>Drill支持多种类型的NoSQL数据库和文件系统, 包括 HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS和本地文件。单个查询可以连接来自不同数据存储的数据。 比如, 你可以连接来自MongoDB的用户档案和来自Hadoop的事件日志。</p>
+ <p>Drill的"数据存储感知"优化控制器利用数据存储内部的处理能力自动重构查询方案。不仅如此, Drill支持数据本地化, 所以将Drill和数据存储配置在同一节点可以充分优化性能。</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
</div>
<div class="home-row">
<div class="description">
- <h1>Kiss the overhead goodbye and enjoy data agility</h1>
- <p>Traditional query engines demand significant IT intervention before data can be queried. Drill gets rid of all that overhead so that users can just query the raw data in-situ. There's no need to load the data, create and maintain schemas, or transform the data before it can be processed. Instead, simply include the path to a Hadoop directory, MongoDB collection or S3 bucket in the SQL query.</p>
- <p>Drill leverages advanced query compilation and re-compilation techniques to maximize performance without requiring up-front schema knowledge.</p>
+ <h1>告别繁冗：充分享受敏捷数据处理</h1>
Review comment:
Recommended to replace that :
告别繁冗：充分享受数据应用的敏捷性
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
+ </td>
+ <td class="fam">
+ <h1>易上手</h1>
Review comment:
Recommended to replace that :
易用性
##########
File path: zh/index.html
##########
@@ -14,60 +14,59 @@
<script type="text/javascript">
-$(document).ready(function() {
- $(".various").fancybox({
- fitToView: true,
- autoSize: true,
- beforeLoad: function(){
- var url= $(this.element).attr("href");
- url = url.replace(new RegExp("watch\\?v=", "i"), 'v/');
- url += '?fs=1&autoplay=1';
- this.href = url
- }
+ $(document).ready(function() {
+ $(".various").fancybox({
+ fitToView: true,
+ autoSize: true,
+ beforeLoad: function(){
+ var url= $(this.element).attr("href");
+ url = url.replace(new RegExp("watch\\?v=", "i"), 'v/');
+ url += '?fs=1&autoplay=1';
+ this.href = url
+ }
+ });
+
+ $('div#video-slider').slick({
+ autoplay: true,
+ autoplaySpeed: 5000,
+ dots: true
+ });
});
- $('div#video-slider').slick({
- autoplay: true,
- autoplaySpeed: 5000,
- dots: true
- });
-});
-
</script>
<div id="header" class="mw">
-<div class="nav-circlepop">
- <a class="aLeft prev"><span class="icon-wrap"></span></a>
- <a class="aRight next"><span class="icon-wrap"></span></a>
-</div>
+ <div class="nav-circlepop">
+ <a class="aLeft prev"><span class="icon-wrap"></span></a>
+ <a class="aRight next"><span class="icon-wrap"></span></a>
+ </div>
-<div class="dots"></div>
-<div class="scroller">
- <div class="item">
- <div class="headlines tc">
- <div id="video-slider" class="slider">
- <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/UOmlhExchpk"><img src="{{ site.baseurl }}/images/thumbnail-0rurIzOkTIg.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Overview of Apache Drill Query Execution</div></div>
- <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/O6WeniFSa7c"><img src="{{ site.baseurl }}/images/thumbnail-lslA8kDr_jQ.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">SQL Queries on Parquet Data </div></div>
- <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/EjxCy7RRUgM"><img src="{{ site.baseurl }}/images/thumbnail-65c42i7Xg7Q.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">The Rise of the Non-Relational Datastore</div></div>
- <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/hv_hf_juEiQ"><img src="{{ site.baseurl }}/images/thumbnail-MYY51kiFPTk.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Deployment Options and BI Tools</div></div>
- <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/CGkCvgRwkbs"><img src="{{ site.baseurl }}/images/thumbnail-bhmNbH2yzhM.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Connecting to Data Sources</div></div>
- <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/evQwRwXZaVk"><img src="{{ site.baseurl }}/images/thumbnail-6pGeQOXDdD8.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">High Performance with a JSON Data Model</div></div>
+ <div class="dots"></div>
+ <div class="scroller">
+ <div class="item">
+ <div class="headlines tc">
+ <div id="video-slider" class="slider">
+ <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/UOmlhExchpk"><img src="{{ site.baseurl }}/images/thumbnail-0rurIzOkTIg.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Overview of Apache Drill Query Execution</div></div>
+ <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/O6WeniFSa7c"><img src="{{ site.baseurl }}/images/thumbnail-lslA8kDr_jQ.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">SQL Queries on Parquet Data </div></div>
+ <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/EjxCy7RRUgM"><img src="{{ site.baseurl }}/images/thumbnail-65c42i7Xg7Q.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">The Rise of the Non-Relational Datastore</div></div>
+ <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/hv_hf_juEiQ"><img src="{{ site.baseurl }}/images/thumbnail-MYY51kiFPTk.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Deployment Options and BI Tools</div></div>
+ <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/CGkCvgRwkbs"><img src="{{ site.baseurl }}/images/thumbnail-bhmNbH2yzhM.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Connecting to Data Sources</div></div>
+ <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/evQwRwXZaVk"><img src="{{ site.baseurl }}/images/thumbnail-6pGeQOXDdD8.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">High Performance with a JSON Data Model</div></div>
+ </div>
+ <h1 class="main-headline">Apache Drill</h1>
+ <h2 id="sub-headline">模式自由的SQL查询引擎，<br class="mobile-break" />专为Hadoop，NoSQL和<br class="mobile-break" />云存储设计</h2>
Review comment:
Recommended to replace that :
Schema-free 类型的SQL引擎
##########
File path: zh/index.html
##########
@@ -127,18 +126,18 @@ <h1>Kiss the overhead goodbye and enjoy data agility</h1>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it's not</h1>
- <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
- <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
+ <h1>化繁为简：非表格类数据也可以像表格数据一样处理</h1>
+ <p>Drill可以抽象出JSON数据的模型，使你可以对如今所有流行以及快速衍变的非关系型数据存储的复杂嵌套数据格式进行查询。同时，Drill提供了对SQL的直观拓宽，使你可以对复杂的数据直接进行SQL查询。
Review comment:
Recommended to replace that :
Drill设计了专有的JSON数据模型，能够支持复杂/嵌套数据的查询，对现代应用程序以及NoSQL中进化的数据结构进行分析。不仅于此，还提供了SQL的扩展性，轻松查询更复杂的数据结构。
##########
File path: zh/index.html
##########
@@ -160,13 +159,13 @@ <h1>Scale from one laptop to 1000s of servers</h1>
<div class="home-row">
<div class="description">
- <h1>No more waiting for coffee</h1>
- <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
-<li>Columnar execution engine (the first ever to support complex data!)</li>
-<li>Data-driven compilation and recompilation at execution time</li>
-<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
-<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
-<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
+ <h1>快速响应：泡制一杯咖啡的时间</h1>
+ <p>Drill不是第一款查询引擎, 但却是第一款兼顾了复杂性和检索速度的查询引擎。为了实现这一点, Drill设计了完全不同的架构，使得在不牺牲由JSON文档模型带来的复杂性前提上，实现了创纪录的检索速度。Drill的新设计包括：<ul>
Review comment:
Recommended to replace that :
Drill并不是世界上第一款查询引擎，却是第一个兼顾数据复杂性和查询速度的MPP引擎。Drill设计了与众不同的架构，不仅能够支持JSON数据模型，还做到了非凡的响应速度。
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
Review comment:
Recommended to replace that :
直接分析NoSQL中的复杂结构和嵌套数据（无需转换和要求数据格式）
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
Review comment:
Recommended to replace that :
获得更快的洞察力又省去繁琐的前置处理（Schema创建和维护、数据加载、转换等ETL操作）
##########
File path: zh/index.html
##########
@@ -160,13 +159,13 @@ <h1>Scale from one laptop to 1000s of servers</h1>
<div class="home-row">
<div class="description">
- <h1>No more waiting for coffee</h1>
- <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
-<li>Columnar execution engine (the first ever to support complex data!)</li>
-<li>Data-driven compilation and recompilation at execution time</li>
-<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
-<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
-<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
+ <h1>快速响应：泡制一杯咖啡的时间</h1>
+ <p>Drill不是第一款查询引擎, 但却是第一款兼顾了复杂性和检索速度的查询引擎。为了实现这一点, Drill设计了完全不同的架构，使得在不牺牲由JSON文档模型带来的复杂性前提上，实现了创纪录的检索速度。Drill的新设计包括：<ul>
+ <li>列式执行引擎 (第一款支持复杂数据的列式执行引擎)</li>
+ <li>在执行时以数据驱动的编译和重编译</li>
+ <li>独特的内存管理来减少内存印记以避免垃圾回收</li>
+ <li>通过将Drill与数据存储协同配置以实现本地化感知执行来减少网络通讯</li>
Review comment:
Recommended to replace that :
通过将Drill和数据节点部署在一起来支持数据本地性（Data Locality）
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
+ </td>
+ <td class="fam">
+ <h1>易上手</h1>
+ <p>充分利用你已具备的SQL技术栈和BI工具，包括Tableau, Qlikview, MicroStrategy, Spotfire, Excel等等。</a></p>
+ </td>
+ </tr>
</tbody>
</table>
</div>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
<div class="description">
- <h1>Query any non-relational datastore (well, almost...)</h1>
- <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
- <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
+ <h1>无所不能：几乎可以对任何非关系型数据库进行查询</h1>
+ <p>Drill支持多种类型的NoSQL数据库和文件系统, 包括 HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS和本地文件。单个查询可以连接来自不同数据存储的数据。 比如, 你可以连接来自MongoDB的用户档案和来自Hadoop的事件日志。</p>
+ <p>Drill的"数据存储感知"优化控制器利用数据存储内部的处理能力自动重构查询方案。不仅如此, Drill支持数据本地化, 所以将Drill和数据存储配置在同一节点可以充分优化性能。</p>
Review comment:
Recommended to replace that :
Drill的存储感知优化器会利用数据存储的内部处理能力来重构查询计划。Drill还支持数据本地性（Data Locality），所以将Drill和数据节点部署在一起可以充分优化性能。
##########
File path: zh/index.html
##########
@@ -79,39 +78,39 @@ <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />fo
<div class="mw introWrapper">
<table class="intro" cellpadding="0" cellspacing="0" align="center">
<tbody>
- <tr>
- <td class="ag">
- <h1>敏捷</h1>
- <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
- </td>
- <td class="fl">
- <h1>Flexibility</h1>
- <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
- </td>
- <td class="fam">
- <h1>Familiarity</h1>
- <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
- </td>
- </tr>
+ <tr>
+ <td class="ag">
+ <h1>敏捷性</h1>
+ <p>快速的挖掘数据而省去重复的操作(如加载数据、表单的创建与维护、数据类型转换等等)</p>
+ </td>
+ <td class="fl">
+ <h1>灵活性</h1>
+ <p>不必进行类型转换或限制数据类型便可通过非关系型数据存储来分析多结构数据及嵌套数据</p>
+ </td>
+ <td class="fam">
+ <h1>易上手</h1>
+ <p>充分利用你已具备的SQL技术栈和BI工具，包括Tableau, Qlikview, MicroStrategy, Spotfire, Excel等等。</a></p>
+ </td>
+ </tr>
</tbody>
</table>
</div>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
<div class="description">
- <h1>Query any non-relational datastore (well, almost...)</h1>
- <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
- <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
+ <h1>无所不能：几乎可以对任何非关系型数据库进行查询</h1>
+ <p>Drill支持多种类型的NoSQL数据库和文件系统, 包括 HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS和本地文件。单个查询可以连接来自不同数据存储的数据。 比如, 你可以连接来自MongoDB的用户档案和来自Hadoop的事件日志。</p>
+ <p>Drill的"数据存储感知"优化控制器利用数据存储内部的处理能力自动重构查询方案。不仅如此, Drill支持数据本地化, 所以将Drill和数据存储配置在同一节点可以充分优化性能。</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
</div>
<div class="home-row">
<div class="description">
- <h1>Kiss the overhead goodbye and enjoy data agility</h1>
- <p>Traditional query engines demand significant IT intervention before data can be queried. Drill gets rid of all that overhead so that users can just query the raw data in-situ. There's no need to load the data, create and maintain schemas, or transform the data before it can be processed. Instead, simply include the path to a Hadoop directory, MongoDB collection or S3 bucket in the SQL query.</p>
- <p>Drill leverages advanced query compilation and re-compilation techniques to maximize performance without requiring up-front schema knowledge.</p>
+ <h1>告别繁冗：充分享受敏捷数据处理</h1>
+ <p>传统的检索引擎需要大量的IT交互复杂及处理，才可以实现查询。Drill帮你解决了所有这些冗余的操作，使用户可以对原始数据进行一站式查询。不必再进行数据加载，创建及维护表格，以及数据类型转换。仅需在SQL查询语句里指定好Hadoop，MongoDB, 或者S3的文件路径。剩下的工作全部交给Drill即可。</p>
Review comment:
Recommended to replace that :
传统的查询引擎需要大量的IT交互才允许查询数据。Drill直接省去了这些冗余，可以快速原地查询这些原始数据。没有Schema创建和维护，也没有数据加载、转换和ETL操作。只需要在查询语句中指定数据的位置，如 Hadoop、S3或MongoDB。
##########
File path: zh/index.html
##########
@@ -127,18 +126,18 @@ <h1>Kiss the overhead goodbye and enjoy data agility</h1>
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it's not</h1>
- <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
- <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
+ <h1>化繁为简：非表格类数据也可以像表格数据一样处理</h1>
Review comment:
Recommended to replace that :
化繁为简：将任何数据当表格形式一样使用
##########
File path: zh/index.html
##########
@@ -148,9 +147,9 @@ <h1>Keep using the BI tools you love</h1>
$ cd apache-drill-<version>
$ bin/drill-embedded</pre></div>
<div class="description">
- <h1>Scale from one laptop to 1000s of servers</h1>
- <p>We made it easy to download and run Drill on your laptop. It runs on Mac, Windows and Linux, and within a minute or two you'll be exploring your data. When you're ready for prime time, deploy Drill on a cluster of commodity servers and take advantage of the world's most scalable and high performance execution engine.
- <p>Drill's symmetrical architecture (all nodes are the same) and simple installation make it easy to deploy and operate very large clusters.</p>
+ <h1>易于扩展：从一台主机到一千台服务器</h1>
+ <p>Drill开箱即用。无论是在Mac，Windows，或者Linux系统上，只需一两分钟，就可以开始挖掘你的数据。如果你想更进一步领略Drill的优势，可以将Drill部署在商用服务器集群上，便可以充分发挥Drill这款易于扩展的高性能查询引擎。</p>
Review comment:
Recommended to replace that :
Drill开箱即用的特点可以支持在Mac、Windows和Linux上快速完成安装（分钟级）。针对大规模的数据集，也可以部署到商用服务器上，充分利用高性能引擎。
##########
File path: zh/index.html
##########
@@ -160,13 +159,13 @@ <h1>Scale from one laptop to 1000s of servers</h1>
<div class="home-row">
<div class="description">
- <h1>No more waiting for coffee</h1>
- <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
-<li>Columnar execution engine (the first ever to support complex data!)</li>
-<li>Data-driven compilation and recompilation at execution time</li>
-<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
-<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
-<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
+ <h1>快速响应：泡制一杯咖啡的时间</h1>
Review comment:
Recommended to replace that :
快速响应：不需要等待你的咖啡
##########
File path: zh/index.html
##########
@@ -160,13 +159,13 @@ <h1>Scale from one laptop to 1000s of servers</h1>
<div class="home-row">
<div class="description">
- <h1>No more waiting for coffee</h1>
- <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
-<li>Columnar execution engine (the first ever to support complex data!)</li>
-<li>Data-driven compilation and recompilation at execution time</li>
-<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
-<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
-<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
+ <h1>快速响应：泡制一杯咖啡的时间</h1>
+ <p>Drill不是第一款查询引擎, 但却是第一款兼顾了复杂性和检索速度的查询引擎。为了实现这一点, Drill设计了完全不同的架构，使得在不牺牲由JSON文档模型带来的复杂性前提上，实现了创纪录的检索速度。Drill的新设计包括：<ul>
+ <li>列式执行引擎 (第一款支持复杂数据的列式执行引擎)</li>
+ <li>在执行时以数据驱动的编译和重编译</li>
Review comment:
Recommended to replace that :
支持运行时期的 Data-driven 编译和重编译。
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[GitHub] [drill] dzamo merged pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
dzamo merged pull request #2266:
URL: https://github.com/apache/drill/pull/2266
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[GitHub] [drill] kingswanwho commented on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
kingswanwho commented on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869726447
> I see in that in the external links you remove the scheme "https:", probably by accidentally reverting to old code. I recently added "https:" to these URLs because otherwise Polyglot thinks it must mangle them for multilingual, and of course it must not. It is possible to use a special character to tell Polyglot to leave these URLs alone but instead I used an explict "https:" since that is a practice recommended in general these days. This could be what has messed with your page layout so could you put "https:" back into every URL starting with "//" and see if the layout problems are fixed?
Yes, I found the problem you mentioned, after I changed those thing to newest version you just submitted, the video switch framework bug I mentioned in slack back to normal. I will close this PR, and open a new one.
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[GitHub] [drill] luocooong commented on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
luocooong commented on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869756166
@kingswanwho YES, Don't need to open new pull request. Because Git is a very powerful tool, the condition is that we have to master these skills, but most developers will mess it up at the beginning.
Well, I'm going to address some suggestions (for zh-CN) tomorrow.
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[GitHub] [drill] kingswanwho closed pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
kingswanwho closed pull request #2266:
URL: https://github.com/apache/drill/pull/2266
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[GitHub] [drill] kingswanwho edited a comment on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
kingswanwho edited a comment on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869726447
> I see in that in the external links you remove the scheme "https:", probably by accidentally reverting to old code. I recently added "https:" to these URLs because otherwise Polyglot thinks it must mangle them for multilingual, and of course it must not. It is possible to use a special character to tell Polyglot to leave these URLs alone but instead I used an explict "https:" since that is a practice recommended in general these days. This could be what has messed with your page layout so could you put "https:" back into every URL starting with "//" and see if the layout problems are fixed?
Yes, I found the problem you mentioned, after I changed those thing to newest version you just submitted, the video switch framework bug I mentioned in slack back to normal.
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[GitHub] [drill] dzamo commented on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
dzamo commented on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869766797
@kingswanwho just push a last commit with the fixes to kingswanwho:git-pages-zh-index. This PR will automatically incorporate it.
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[GitHub] [drill] luocooong commented on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
luocooong commented on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869756166
@kingswanwho YES, Don't need to open new pull request. Because Git is a very powerful tool, the condition is that we have to master these skills, but most developers will mess it up at the beginning.
Well, I'm going to address some suggestions (for zh-CN) tomorrow.
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[GitHub] [drill] dzamo commented on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
dzamo commented on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869766797
@kingswanwho just push a last commit with the fixes to kingswanwho:git-pages-zh-index. This PR will automatically incorporate it.
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[GitHub] [drill] kingswanwho commented on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
kingswanwho commented on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869726447
> I see in that in the external links you remove the scheme "https:", probably by accidentally reverting to old code. I recently added "https:" to these URLs because otherwise Polyglot thinks it must mangle them for multilingual, and of course it must not. It is possible to use a special character to tell Polyglot to leave these URLs alone but instead I used an explict "https:" since that is a practice recommended in general these days. This could be what has messed with your page layout so could you put "https:" back into every URL starting with "//" and see if the layout problems are fixed?
Yes, I found the problem you mentioned, after I changed those thing to newest version you just submitted, the video switch framework bug I mentioned in slack back to normal. I will close this PR, and open a new one.
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[GitHub] [drill] kingswanwho edited a comment on pull request #2266: [DOC UPDATE] Index.html Chinese Translation
Posted by GitBox <gi...@apache.org>.
kingswanwho edited a comment on pull request #2266:
URL: https://github.com/apache/drill/pull/2266#issuecomment-869726447
> I see in that in the external links you remove the scheme "https:", probably by accidentally reverting to old code. I recently added "https:" to these URLs because otherwise Polyglot thinks it must mangle them for multilingual, and of course it must not. It is possible to use a special character to tell Polyglot to leave these URLs alone but instead I used an explict "https:" since that is a practice recommended in general these days. This could be what has messed with your page layout so could you put "https:" back into every URL starting with "//" and see if the layout problems are fixed?
Yes, I found the problem you mentioned, after I changed those thing to newest version you just submitted, the video switch framework bug I mentioned in slack back to normal.
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