Therefore, I will show you a more generic method of handling data, a method that will allow you to store any data type in any node.
因此，我将介绍一种更为通用的处理数据的方法， 这种方法允许您在任意节点中存储任意数据类型。
To update a node of the tree you need to update the data existing in the data store.
要更新树的节点，您需要更新位于数据存储的数据。
When building a node using the Edit operation, Drupal once again creates a node object to store the data it USES to render the resulting page.
在使用Edit操作构建节点时，Drupal同样要创建一个节点对象来存储显示最终页面所用的数据。
Using that concept, you can also store Pointers to list nodes in your node, allowing you to have lists as the data for a list node. Here's how it might look.
同理，您也可以在节点中存储指向列表节点的指针，这样就可以将列表作为列表节点的数据。
Walrus is the persistent secondary storage which is used by the node controllers to store their VM images and sometimes to store data.
Walrus是永久的二级存储，它被节点控制器用于保存vm镜像，有时也存储数据。
This process trades off cluster computing resources for faster server responses; it takes LinkedIn about 90 minutes to build a 900 GB data store on a 45 node development cluster.
这种处理权衡了集群计算资源以实现更快的服务器响应；linked in大约需要90分钟时间在45个结点集群上构建900gb的数据。
This process trades off cluster computing resources for faster server responses; it takes LinkedIn about 90 minutes to build a 900 GB data store on a 45 node development cluster.
这种处理权衡了集群计算资源以实现更快的服务器响应；linked in大约需要90分钟时间在45个结点集群上构建900gb的数据。
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