Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Nested Aggregations - Part 2

The video tutorial addresses the challenge of aggregating on analyzed text fields in Elasticsearch. Initially, enabling field data is attempted, but it doesn't yield the desired results. The solution involves reindexing the data with a keyword type to allow aggregation on full titles. The process includes setting up a new mapping with a raw subfield and reimporting the data. The tutorial highlights the importance of planning data indexing strategies to avoid reindexing.

What steps are taken to reindex the data after modifying the mapping?

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How does the performance of Elasticsearch compare to Apache Spark in this context?

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What lesson is emphasized regarding the anticipation of data usage before indexing?

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