Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Flattened Datatype

The video tutorial explains the concept of mapping explosion in Elasticsearch and introduces the flattened data type as a solution. It demonstrates how dynamic mappings can lead to performance issues when handling documents with many inner fields. The tutorial provides a hands-on example using syslog data and shows how to index documents while avoiding mapping explosion. It also covers the limitations of using the flattened data type, such as reduced search capabilities and lack of result highlighting.

How can you retrieve the current cluster state in Elasticsearch?

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What is the significance of the master node in an Elasticsearch cluster?

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How does Elasticsearch ensure that nodes are synchronized after a cluster state change?

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What types of queries are supported for the flattened data type?

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