• 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.

    可能已经注意测试结果上方TestData节点

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  • Definition: An instance data node with associated constraints.

    数据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表单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节点自动添加集群地址必不可少的。

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

    数据控件上之后,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.

    14显示HadoopMaster实例两个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Name数据节点绑定表单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.

    继续完成接下来步骤接受默认值从而添加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.

    此处实例定义中,为搜索结果XML数据节点调用名称空间

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

    浏览器拖拽力场名字ICE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.

    可以删除字段修改标签或者改变字段绑定数据节点

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

    如果一个数据节点相关的,那么浏览器显示这个节点关联任何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.

    树型结构数据存储关系数据库中,以便每一个节点进行各种有关树操作。

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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,已经创建表单元素数据实例数据节点之间关系

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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.

    数据分布客户机器一般不是数据节点所有的数据访问都远程的,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.

    通过绑定表达式用作定位器,“绑定”将实例数据结点连接表单控制模型项目约束

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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.

    定义通过绑定表达式用作定位器,“绑定”将实例数据结点连接表单控制模型项目约束

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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.

    使分区数据库正常运行,必须每个数据节点中相同的方式来配置操作系统环境包括用户

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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节点实例过程十分类似于预备HadoopMaster节点,所以这里描述不同步骤需要关注的步骤。

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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.

    在前面过了如何使用加标签类型来使可以节点中使用任意类型数据

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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关于节点数据

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

    每个节点可以同步地数据传输其他节点。

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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那个节点中的数据包括进了验证

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  • Before any rendering of the node can proceed, a container for all the data associated with this node is created.

    处理任何节点显示之前,要这个节点相关联所有数据创建一个容器

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  • This template is used to manipulate how to display node data.

    这个模板用来控制如何显示节点数据

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  • Vector data require far less storage than raster data because arc node lists simplify and reduce the data required to make sense of the features contained in the map.

    矢量数据要求存储要比栅格数据得多因为节点列表简化减少表示地图中包含的特征所需的数据。

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  • Vector data require far less storage than raster data because arc node lists simplify and reduce the data required to make sense of the features contained in the map.

    矢量数据要求存储要比栅格数据得多因为节点列表简化减少表示地图中包含的特征所需的数据。

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