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doc: List Protobuf as a supported format (#13640)

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Victoria Lim 2023-01-06 15:09:37 -08:00 committed by GitHub
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docs/querying/nested-columns.md
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@ -29,7 +29,7 @@ Druid [SQL JSON functions](./sql-json-functions.md) allow you to extract, transf
You can use the JSON functions in INSERT and REPLACE statements in SQL-based ingestion, or in a `transformSpec` in native ingestion as an alternative to using a [`flattenSpec`](../ingestion/data-formats.md#flattenspec) object to "flatten" nested data for ingestion. You can use the JSON functions in INSERT and REPLACE statements in SQL-based ingestion, or in a `transformSpec` in native ingestion as an alternative to using a [`flattenSpec`](../ingestion/data-formats.md#flattenspec) object to "flatten" nested data for ingestion.
Druid supports directly ingesting nested data with the following formats: JSON, Parquet, Avro, ORC. Druid supports directly ingesting nested data with the following formats: JSON, Parquet, Avro, ORC, Protobuf.
## Example nested data ## Example nested data