2023年9月21日 · When a transport map or listener map processes data, a copy of the transaction can be recorded in a mapping log. The Mapping Logs feature provides the viewing of the transport map or listener map mapping logs. You can access a node's mapping logs as follows.

Mapping Logs（映射日志）功能提供了对传输映射或侦听器映射映射日志的查看。 查看映射日志. 可通过以下方式访问节点的映射日志。 在工作台左侧窗格中，展开要查看其映射日志的节点。 选择 Logs & Reports（日志和报告）图标。

Mapping is the process of defining how a document, and the fields it contains, are stored and indexed. Each document is a collection of fields, which each have their own data type. When mapping your data, you create a mapping definition, which contains a list of fields that are pertinent to the document.

Mapping log data from incoming sources. With any integration, you can specify your own mappings to the standard IBM Cloud Pak for AIOps values to optimize search performance for any data type. For each type of integration (Custom, ELK, Falcon LogScale, Kafka, Mezmo, and Splunk), you can edit which fields map to the standard values.

2019年2月18日 · 我们使用ElasticSearch时一般需要自己创建ElasticSearch的索引的Mapping，当索引非常多的时候，可能需要配置一个索引模板Template来对类似的索引做统一配置，让索引模板Template中配置匹配索引的规则，来确定该Template会被应用到哪些索引上。

2018年10月26日 · logstash 写入 es，在es新建index的时候，新的index的mapping建立有3种方式： 1. logstash内部自带默认template，通过该template去创建mapping。 2. es集群内部写入template，logstash写入的时候不需要指定template，index根据es集群内部存在的template自动匹配创建mapping。 3.

2018年5月4日 · 本文介绍了如何通过配置Logstash的mapping来优化ELK Stack，解决ES搜索时因字段类型不匹配导致的问题。 通过将字段类型设为keyword，确保搜索条件能够精确匹配。

You can view Mapping task logs to troubleshoot Mapping task problems or to see information about the mapping run. The Data Integration service writes a new log file for each Mapping task run. The log file contains information about the events in the Mapping task.

2023年9月21日 · Transport map logging enables the content of every outbound or inbound transaction for the transport to be recorded in a mapping log. In order for the runtime to provide a map log file, you must turn the logging on for the transport or listener.

2022年5月19日 · You can collect the DataPreview log and Mapping run logs in the Developer Tool by clicking on the log icon as shown in the following screenshot after the run is completed. Enumerate the observations of interest in logs/tool output that are of interest. What is the analysis based on this observation?