• Step 3: Provision a BigInsights Data node instance

    步骤3:预备一个BigInsights Data节点实例

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  • You may have noticed the test Data node above the test results.

    你可能已经注意到测试结果上方的TestData节点。

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  • Definition: An instance data node with associated constraints.

    数据值和字段完整性约束相冲突。

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  • Next, bind each data node in the data instance to the XFDL items on the form.

    接下来,将数据实例中的每个数据节点绑定到表单上的XFDL元素。

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  • This is necessary, so the Hadoop Data node can be automatically added to the cluster.

    为了能够将HadoopData节点自动添加到集群,该地址是必不可少的。

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  • Once you drop the data node onto the control, it will become associated with that data.

    将数据拖到控件上之后,它就与那个数据联系在一起了。

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  • Figure 14 shows the Hadoop Master instance and the two Hadoop Data node (slave) instances.

    图14显示了HadoopMaster实例与两个HadoopData节点(从)实例。

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  • By binding the Name data node to the Name items on the form, the data can be synchronized.

    通过将Name数据节点绑定到表单上的Name元素,数据就可以同步了。

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  • Continue with the next steps, accepting the defaults, to add the Hadoop Data node instance.

    继续完成接下来的步骤,接受其默认值,从而添加HadoopData节点实例。

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  • Here, in the instance definition, the namespace is called out for the results XML data node.

    此处的实例定义中,为搜索结果的XML数据节点了调用了名称空间。

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  • From an explorer, drag the force's name into the ICE Tree to create a Get Data node for it.

    从浏览器里拖拽力场的名字到ICE树中就可以创立一个力场的数据节点。

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  • You can also remove fields, change the labels, and change which data node the field is bound to.

    还可以删除字段,修改标签或者改变字段绑定的数据节点。

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  • When a data node is relevant, a browser will display any XForms controls associated with that node.

    如果一个数据节点是相关的,那么浏览器会显示与这个节点关联的任何X Forms控件。

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  • The administration node has a single database partition, and each data node has four database partitions.

    管理节点具有单个数据库分区,每个数据节点都有4个数据分区。

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  • When data of tree structure is stored in database, it is easy to observer modifications of each data node.

    把树型结构数据存储在关系数据库中,以便于对每一个节点进行各种有关树的操作。

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  • You have finished creating the relationship between the items on the form and the data node in the data instance.

    现在,已经创建了表单元素和数据实例中数据节点之间的关系。

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  • Data locality: the client machine typically is not a data node. Allthe data accessed is remote and has to be read via the network.

    数据分布:客户端机器一般都不是数据节点,所有的数据访问都是远程的,必须通过网络读取。

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  • A "binding" connects an instance data node to a form control or to a model item constraint by using a binding expression as a locater.

    通过将绑定表达式用作定位器,“绑定”将实例数据结点连接到表单控制或模型项目约束。

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  • Definition: a "binding" connects an instance data node to a form control or to a model item constraint by using a binding expression as a locater.

    定义:通过将绑定表达式用作定位器,“绑定”将实例数据结点连接到表单控制或模型项目约束。

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  • For the partitioned database to function properly, you must configure the operating system environment, including users and groups, in the same manner on each data node.

    为使分区数据库正常运行,必须在每个数据节点中以相同的方式来配置操作系统环境,包括用户和组。

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  • Since the process of provisioning a Hadoop Data node instance is very similar to provisioning a Hadoop Master node instance, only the steps that are different, or require attention are described here.

    因为预备HadoopData节点实例的过程十分类似于预备HadoopMaster节点,所以这里只描述不同的步骤或需要关注的步骤。

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  • I talked above about how to use tagged types to enable you to use any type of data in your node.

    在前面我讲过了如何使用加标签的类型来使您可以在节点中使用任意类型的数据。

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  • This data includes the node type, title, teaser, body, creator, and creation time.

    这些数据包含节点类型、标题、摘要、主体、创建者和创建时间。

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  • Additional metadata, or data about the node, can be added by a module.

    可以通过模块添加其他元数据或关于节点的数据。

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  • Each node can transfer data sets simultaneously to every other node.

    每个节点可以同步地将数据集传输到其他节点。

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  • Next, any extended data is applied to this node object.

    接下来,将任何扩展数据应用于这个节点对象。

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  • End branches that release data with a stop node.

    用一个停止节点终止分支并释放数据。

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  • By checking a node in the Test Objects pane, you're including the data in that node in your verification point.

    通过检查测试对象面板中的节点你就把那个节点中的数据包括进了你的验证点。

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  • By checking a node in the Test Objects pane, you're including the data in that node in your verification point.

    通过检查测试对象面板中的节点你就把那个节点中的数据包括进了你的验证点。

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