bsearch_label is a frontend data labeling plug-in. It supports visualized data labeling. This way, you do not need to write complex domain-specific language (DSL) statements. This topic describes how to use the bsearch_label plug-in to label data.
Background information
In most cases, when you analyze data, you may want to use query conditions to filter the data in addition to viewing the data and use tags to classify fields. This procedure is known as data labeling. After you add tags to data, you can use the tags to aggregate and classify the data, perform statistical analysis, and filter data by tag. The labeled data can be used in subsequent procedures.
Prerequisites
- An Alibaba Cloud Elasticsearch V6.3 or V6.7 cluster is created.
For more information, see Create an Alibaba Cloud Elasticsearch cluster. In this example, an Elasticsearch V6.3 cluster is used.Notice When you create an Elasticsearch V6.3 cluster, you must select the specifications of 2 vCPUs and 4 GiB of memory or higher for the Kibana node. If you select other specifications for the Kibana node, when you install the bsearch_label plug-in on the Elasticsearch cluster, the system displays a message indicating that you must upgrade the specifications of the Kibana node. If you want to install the bsearch_label plug-in on an existing Elasticsearch V6.3 or V6.7 cluster and the specifications of the Kibana node in the cluster are lower than 2 vCPUs and 4 GiB of memory, you can upgrade the specifications of the Kibana node by using the configuration upgrade feature. For more information, see Upgrade the configuration of a cluster.
- The bsearch_label plug-in is installed.
For more information, see Install a Kibana plug-in.Notice You can use the data labeling feature only after the bsearch_label plug-in is installed.
- An index is created, and data is added to the index.
For more information, see Getting started.
- The language of the Kibana console is English. The default language is English. If
the language is not English, change the language to English.
For more information, see Configure the language of the Kibana console.