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19 lines
1.1 KiB
Markdown
19 lines
1.1 KiB
Markdown
# What is GMA search index?
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Each [search document](search-document.md) type (or [entity](entity.md) type) will be mapped to an independent search index in Elasticsearch.
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Beyond the standard search engine features (analyzer, tokenizer, filter queries, faceting, sharding, etc),
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GMA also supports the following specific features:
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- Partial update of indexed documents
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- Membership testing on multi-value fields
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- Zero downtime switch between indices
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Check out [Search DAO](../architecture/metadata-serving.md#search-dao) for search query abstraction in GMA.
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## Search Automation (TBD)
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We aim to automate the index creation, schema evolution, and reindexing such that the team will only need to focus on the search document model and their custom [Index Builder](../architecture/metadata-ingestion.md#search-index-builders) logic.
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As the logic changes, a new version of the index will be created and populated from historic MAEs.
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Once it’s fully populated, the team can switch to the new version through a simple config change from their [GMS](gms.md).
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They can also rollback to an older version of index whenever needed.
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