[GitHub] [incubator-hudi] yihua commented on a change in pull request #926: [HUDI-278] Translate Administering page

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yihua commented on a change in pull request #926: [HUDI-278] Translate Administering page
URL: https://github.com/apache/incubator-hudi/pull/926#discussion_r328910547
 
 

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 File path: docs/admin_guide.cn.md
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 @@ -374,71 +365,69 @@ Compaction successfully repaired
 ```
 
 
-## Metrics {#metrics}
+## 指标 {#metrics}
 
-Once the Hudi Client is configured with the right datasetname and environment for metrics, it produces the following graphite metrics, that aid in debugging hudi datasets
+为Hudi Client配置正确的数据集名称和指标环境后，它将生成以下graphite指标，以帮助调试hudi数据集
 
- - **Commit Duration** - This is amount of time it took to successfully commit a batch of records
- - **Rollback Duration** - Similarly, amount of time taken to undo partial data left over by a failed commit (happens everytime automatically after a failing write)
- - **File Level metrics** - Shows the amount of new files added, versions, deleted (cleaned) in each commit
- - **Record Level Metrics** - Total records inserted/updated etc per commit
- - **Partition Level metrics** - number of partitions upserted (super useful to understand sudden spikes in commit duration)
+ - **提交持续时间** - 这是成功提交一批记录所花费的时间
+ - **回滚持续时间** - 同样，撤消失败的提交所剩余的部分数据所花费的时间(每次写入失败后都会自动发生)
+ - **文件级别指标** - 显示每次提交中新增、版本、删除(清除)的新文件数量
+ - **记录级别指标** - 每次提交插入/更新的记录总数
+ - **分区级别指标** - 更新的分区数量(对于了解提交持续时间的突然峰值非常有用)
 
-These metrics can then be plotted on a standard tool like grafana. Below is a sample commit duration chart.
+然后可以将这些指标绘制在grafana等标准工具上。以下是提交持续时间图表示例。
 
 <figure>
     <img class="docimage" src="/images/hudi_commit_duration.png" alt="hudi_commit_duration.png" style="max-width: 1000px" />
 </figure>
 
 
-## Troubleshooting Failures {#troubleshooting}
-
-Section below generally aids in debugging Hudi failures. Off the bat, the following metadata is added to every record to help triage  issues easily using standard Hadoop SQL engines (Hive/Presto/Spark)
-
- - **_hoodie_record_key** - Treated as a primary key within each DFS partition, basis of all updates/inserts
- - **_hoodie_commit_time** - Last commit that touched this record
- - **_hoodie_file_name** - Actual file name containing the record (super useful to triage duplicates)
- - **_hoodie_partition_path** - Path from basePath that identifies the partition containing this record
+## 故障排除 {#troubleshooting}
 
-Note that as of now, Hudi assumes the application passes in the same deterministic partitionpath for a given recordKey. i.e the uniqueness of record key is only enforced within each partition
+以下部分通常有助于调试Hudi故障。将以下元数据添加到每条记录中，以帮助使用标准Hadoop SQL引擎(Hive/Presto/Spark)轻松分类问题。
 
+ - **_hoodie_record_key** - 作为每个DFS分区内的主键，是所有更新/插入的基础
+ - **_hoodie_commit_time** - 该记录上次的提交
+ - **_hoodie_file_name** - 包含记录的实际文件名(对分类重复非常有用)
 
 Review comment:
   “对分类重复非常有用” => “对检查重复非常有用”

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