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Copy file name to clipboardExpand all lines: docs/scalardb-analytics/run-analytical-queries.mdx
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@@ -146,6 +146,23 @@ You can use an arbitrary name for `<DATA_SOURCE_NAME>`.
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|`spark.sql.catalog.<CATALOG_NAME>.data_source.<DATA_SOURCE_NAME>.database`| No | The name of the database to connect to |
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|`spark.sql.catalog.<CATALOG_NAME>.data_source.<DATA_SOURCE_NAME>.secure`| No | Whether to use a secure connection to the SQL Server server. Set to `true` to use a secure connection. |
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:::tip
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You can use an arbitrary name for `<DATA_SOURCE_NAME>`.
|`spark.sql.catalog.<CATALOG_NAME>.data_source.<DATA_SOURCE_NAME>.type`| Yes | Always set to `dynamodb`|
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|`spark.sql.catalog.<CATALOG_NAME>.data_source.<DATA_SOURCE_NAME>.region`| Either `region` or `endpoint` must be set | The AWS region of the DynamoDB instance |
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|`spark.sql.catalog.<CATALOG_NAME>.data_source.<DATA_SOURCE_NAME>.endpoint`| Either `region` or `endpoint` must be set | The AWS endpoint of the DynamoDB instance |
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|`spark.sql.catalog.<CATALOG_NAME>.data_source.<DATA_SOURCE_NAME>.schema`| Yes | A JSON object representing the schema of the catalog. For details on the format, see [Catalog-level mappings](./design.mdx#catalog-level-mappings). |
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:::tip
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You can use an arbitrary name for `<DATA_SOURCE_NAME>`.
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