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# 了解 Amazon EMR WAL 定价和指标
<a name="emr-hbase-wal-metrics"></a>


| 核心功能计费单位 | Details | 
| --- | --- | 
| 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 | 您在服务上存储 WALs 的数量按以下方式计费。`EMR-WAL-WALHours`Amazon EMR 为每个区域创建一个 WAL。 HBase例如，如果您创建了 20 个 HBase 表（包括系统表），并且每个表有两个 HBase 区域，那么您将使用 28,800 个 WAL 小时，计算公式为：<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> | 

**示例`EMRWALCount`：**

![折线图显示了一段时间内的 ResourceCount 波动，范围从大约 18.87 到 19.20。](http://docs.amazonaws.cn/emr/latest/ReleaseGuide/images/wal-metric.png)


**示例`EMRWALWorkspaceCount`：**

![该图显示了一段时间内的 ResourceCount 波动，范围从 7.97 到 8.32。](http://docs.amazonaws.cn/emr/latest/ReleaseGuide/images/wal-metric2.png)
