Elasticsearch Tutorial
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- Elasticsearch - Discussion
- Elasticsearch - Useful Resources
- Elasticsearch - Quick Guide
- Elasticsearch - Logs UI
- Elasticsearch - Canvas
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- Elasticsearch - Tag Clouds
- Elasticsearch - Time Series
- Elasticsearch - Area and Bar Charts
- Elasticsearch - Pie Charts
- Elasticsearch - Region Maps
- Elasticsearch - Data Tables
- Elasticsearch - Filtering by Field
- Elasticsearch - Kibana Dashboard
- Elasticsearch - Testing
- Elasticsearch - Frozen Indices
- Elasticsearch - Rollup Data
- Elasticsearch - Monitoring
- Elasticsearch - SQL Access
- Elasticsearch - Managing Index Lifecycle
- Elasticsearch - Ingest Node
- Elasticsearch - Index Modules
- Elasticsearch - Modules
- Elasticsearch - Analysis
- Elasticsearch - Mapping
- Elasticsearch - Query DSL
- Elasticsearch - Cluster APIs
- Elasticsearch - CAT APIs
- Elasticsearch - Index APIs
- Elasticsearch - Aggregations
- Elasticsearch - Search APIs
- Elasticsearch - Document APIs
- Elasticsearch - API Conventions
- Migration between Versions
- Elasticsearch - Populate
- Elasticsearch - Installation
- Elasticsearch - Basic Concepts
- Elasticsearch - Home
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Elasticsearch - Filtering by Field
Elasticsearch - Filtering by Field
The discover functionapty available in Kibana home page allows us to explore the data sets from various angles. You can search and filter data for the selected index patterns. The data is usually available in form of distribution of values over a period of time.
To explore the ecommerce data sample, we cpck on the Discover icon as shown in the picture below. This will bring up the data along with the chart.
Filtering by Time
To filter out data by specific time interval we use the time filter option as shown below. By default, the filter is set at 15 minutes.
Filtering by Fields
The data set can also be filtered by fields using the Add Filter option as shown below. Here we add one or more fields and get the corresponding result after the filters are appped. In our example we choose the field day_of_week and then the operator for that field as is and value as Sunday.
Next, we cpck Save with above filter conditions. The result set containing the filter conditions appped is shown below.
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