March 2019 Summaries

Elasticsearch mapping, a process of defining how documents and their fields are stored and indexed, can lead to mapping exceptions, often occurring when data types for fields are inconsistent. These exceptions, which can result in data loss and performance issues, are common in environments where multiple developers work on the same projects. To handle these, Coralogix offers solutions such as dynamically adding a .numeric field for numeric vs. string conflicts or stringifying JSON for unresolvable conflicts, ensuring data retention despite exceptions. Additionally, Coralogix provides tools like a parsing rule engine and a predefined mapping exceptions dashboard to identify and manage exceptions effectively. Alerts for mapping exceptions can be configured using Grafana, allowing users to monitor and respond to these data issues promptly. The article emphasizes the importance of adopting best practices to prevent mapping exceptions and maintain the efficiency of Elasticsearch and Kibana functionalities.