Whether you're a seasoned Elasticsearch user or just beginning your journey, understanding reindexing is important for maintaining an efficient cluster.
is a popular technology for efficient and scalable data storage and retrieval. However, maintaining its performance and data integrity requires a crucial practice called reindexing. Indexing is the initial process of adding data to Elasticsearch, while reindexing is essential for maintaining data accuracy and optimizing search performance.
Its primary purpose is to enable the efficient transfer of data from one index to another, on top of this, you can also: Selectively copy documents from the source index to the target index. Apply complex data transformations, such as field renaming or type conversions. Filter data based on specific criteria. Control the indexing process with options like throttling and refresh intervals.
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