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# 了解 Amazon EMR WAL 定價和指標
<a name="emr-hbase-wal-metrics"></a>


| 核心功能計費單位 | 詳細資訊 | 
| --- | --- | 
| EMR-WAL-Read-GiB | API calls to read data from your table are billed as ReadRequestGiB. This includes [`Get` and `Scan`](https://hbase.apache.org/book.html#_data_model_operations) operations. Reads are charged based on the sizes of the read items. Amazon EMR bills at a minimum of 1 byte. For example, if you read a 1234.12 bytes item, you're charged for 1235 bytes. Reads are aggregated every hour for billing and shown as GiBs. | 
| EMR-WAL-Write-GiB | API calls to write data from your table are billed as Write-GiB. This includes [https://hbase.apache.org/book.html#_data_model_operations](https://hbase.apache.org/book.html#_data_model_operations) operations. Writes are charged based on the sizes of the written items. Amazon EMR bills at a minimum of 1 byte. For example, if you write a 1234.12 bytes item, you're charged for 1235 bytes. Writes are aggregated every hour for billing and shown as GiBs. | 
| EMR-WAL-WALHours | 您在服務上存放WALs 數量會以 計費`EMR-WAL-WALHours`。Amazon EMR 為每個 HBase 區域建立一個 WAL。例如，如果您建立包含系統資料表的 20 個 HBase 資料表，且每個資料表有兩個 HBase 區域，則您使用 28，800 WAL 時數，計算方式為：<pre>  20 tables <br />x  2 Regions per table <br />x  1 WAL per Region <br />x 30 days <br />x 24 hours <br />-----------<br />28,800 EMR-WAL-WALHours</pre> | 

**範例`EMRWALCount`：**

![顯示 ResourceCount 隨時間變化的折線圖，範圍從約 18.87 到 19.20。](http://docs.aws.amazon.com/zh_tw/emr/latest/ReleaseGuide/images/wal-metric.png)


**範例`EMRWALWorkspaceCount`：**

![顯示 ResourceCount 隨時間變化的圖表，範圍從 7.97 到 8.32。](http://docs.aws.amazon.com/zh_tw/emr/latest/ReleaseGuide/images/wal-metric2.png)
