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articles/synapse-analytics/metadata/database.md

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## Manage a Spark created database
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To manage Spark created databases you need to use Apache Spark pools. For example, create or delete it through a Spark pool job.
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To manage Spark created databases, you need to use Apache Spark pools. For example, create or delete it through a Spark pool job.
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Objects in synchronized databases cannot be modified from serverless SQL pool.
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### SQL security model
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Synapse workspace provides T-SQL endpoint that enables you to query the shared database using the serverless SQL pool. As a prerequisite, you need to enable a user to access shared databases in serverless SQL pool. There are two wyt to allow a user to access the shared databases:
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Synapse workspace provides T-SQL endpoint that enables you to query the shared database using the serverless SQL pool. As a prerequisite, you need to enable a user to access shared databases in serverless SQL pool. There are two ways to allow a user to access the shared databases:
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- You can assign a `Synapse SQL Administrator` workspace role or `sysadmin` server-level role in the serverless SQL pool. This role has a full control on all databases.
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- You can grant `GRANT CONNECT ANY DATABASE` and `GRANT SELECT ALL USER SECURABLES` server-level permissions on serverless SQL pool to a login that will enable the login to access and read any database. This might be a good choice for assigning reader/non-admin access to a user.
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Learn more about setting [access control on shared databases](shared-databases-access-control.md).
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Learn more about setting [access control on shared databases](../sql/shared-databases-access-control.md).
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## Examples
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