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.openpublishing.redirection.json

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"source_path": "articles/sql-database/sql-database-metrics-diag-logging.md",
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"redirect_url": "/azure/azure-sql/database/metrics-diagnostic-telemtry-logging-streaming-export-configure",
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"redirect_url": "/azure/azure-sql/database/metrics-diagnostic-telemetry-logging-streaming-export-configure",
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"redirect_document_id": true
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},
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{

articles/azure-monitor/insights/azure-sql.md

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Once you have created Azure SQL Analytics solution in your workspace, you need to **configure each** resource that you want to monitor to stream its diagnostics telemetry to Azure SQL Analytics. Follow detailed instructions on this page:
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- Enable Azure Diagnostics for your Azure SQL database to [stream diagnostics telemetry to Azure SQL Analytics](../../azure-sql/database/metrics-diagnostic-telemtry-logging-streaming-export-configure.md).
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- Enable Azure Diagnostics for your Azure SQL database to [stream diagnostics telemetry to Azure SQL Analytics](../../azure-sql/database/metrics-diagnostic-telemetry-logging-streaming-export-configure.md).
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The above page also provides instructions on enabling support for monitoring multiple Azure subscriptions from a single Azure SQL Analytics workspace as a single pane of glass.
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## Analyze data and create alerts
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Data analysis in Azure SQL Analytics is based on [Log Analytics language](../log-query/get-started-queries.md) for your custom querying and reporting. Find description of the available data collected from database resource for custom querying in [metrics and logs available](../../azure-sql/database/metrics-diagnostic-telemtry-logging-streaming-export-configure.md#metrics-and-logs-available).
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Data analysis in Azure SQL Analytics is based on [Log Analytics language](../log-query/get-started-queries.md) for your custom querying and reporting. Find description of the available data collected from database resource for custom querying in [metrics and logs available](../../azure-sql/database/metrics-diagnostic-telemetry-logging-streaming-export-configure.md#metrics-and-logs-available).
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Automated alerting in Azure SQL Analytics is based on writing a Log Analytics query that triggers an alert upon a condition met. Find below several examples on Log Analytics queries upon which alerting can be set up in Azure SQL Analytics.
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articles/azure-monitor/platform/diagnostic-logs-schema.md

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| Recovery Services | [Data Model for Azure Backup](../../backup/backup-azure-reports-data-model.md)|
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| Search |[Enabling and using Search Traffic Analytics](../../search/search-traffic-analytics.md) |
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| Service Bus |[Azure Service Bus logs](../../service-bus-messaging/service-bus-diagnostic-logs.md) |
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| SQL Database | [Azure SQL Database logging](../../azure-sql/database/metrics-diagnostic-telemtry-logging-streaming-export-configure.md) |
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| SQL Database | [Azure SQL Database logging](../../azure-sql/database/metrics-diagnostic-telemetry-logging-streaming-export-configure.md) |
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| Stream Analytics |[Job logs](../../stream-analytics/stream-analytics-job-diagnostic-logs.md) |
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| Traffic Manager | [Traffic Manager Log schema](../../traffic-manager/traffic-manager-diagnostic-logs.md) |
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| Virtual Networks | Schema not available. |
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| Virtual Network Gateways | Schema not available. |
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## Supported log categories per resource type
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Some categories may only be supported for specific types of resources. This is list of all that are available in some form. For example, Microsoft.Sql/servers/databases categories aren't available for all types of databases. For more information, see [information on SQL Database diagnostic logging](../../azure-sql/database/metrics-diagnostic-telemtry-logging-streaming-export-configure.md).
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Some categories may only be supported for specific types of resources. This is list of all that are available in some form. For example, Microsoft.Sql/servers/databases categories aren't available for all types of databases. For more information, see [information on SQL Database diagnostic logging](../../azure-sql/database/metrics-diagnostic-telemetry-logging-streaming-export-configure.md).
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|Resource Type|Category|Category Display Name|
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|---|---|---|

articles/azure-sql/database/features-comparison.md

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| [Filestream](https://docs.microsoft.com/sql/relational-databases/blob/filestream-sql-server) | No | [No](../managed-instance/transact-sql-tsql-differences-sql-server.md#filestream-and-filetable) |
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| [Full-text search (FTS)](https://docs.microsoft.com/sql/relational-databases/search/full-text-search) | Yes, but third-party word breakers are not supported | Yes, but [third-party word breakers are not supported](../managed-instance/transact-sql-tsql-differences-sql-server.md#full-text-semantic-search) |
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| [Functions](https://docs.microsoft.com/sql/t-sql/functions/functions) | Most - see individual functions | Yes - see [Stored procedures, functions, triggers differences](../managed-instance/transact-sql-tsql-differences-sql-server.md#stored-procedures-functions-and-triggers) |
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| [In-memory optimization](https://docs.microsoft.com/sql/relational-databases/in-memory-oltp/in-memory-oltp-in-memory-optimization) | Yes - [Premium and Business Critical tiers only](../in-memory.md) Limited support for non-persistent In-Memory objects such as table types | Yes - [Business Critical tier only](../managed-instance/sql-managed-instance-paas-overview.md) |
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| [In-memory optimization](https://docs.microsoft.com/sql/relational-databases/in-memory-oltp/in-memory-oltp-in-memory-optimization) | Yes - [Premium and Business Critical tiers only](../in-memory-oltp-overview.md) Limited support for non-persistent In-Memory objects such as table types | Yes - [Business Critical tier only](../managed-instance/sql-managed-instance-paas-overview.md) |
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| [Language elements](https://docs.microsoft.com/sql/t-sql/language-elements/language-elements-transact-sql) | Most - see individual elements | Yes - see [T-SQL differences](../managed-instance/transact-sql-tsql-differences-sql-server.md) |
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| [Linked servers](https://docs.microsoft.com/sql/relational-databases/linked-servers/linked-servers-database-engine) | No - see [Elastic query](elastic-query-horizontal-partitioning.md) | Yes. Only to [SQL Server and SQL Database](../managed-instance/transact-sql-tsql-differences-sql-server.md#linked-servers) without distributed transactions. |
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| [Linked servers](https://docs.microsoft.com/sql/relational-databases/linked-servers/linked-servers-database-engine) that read from files (CSV, Excel)| No. Use [BULK INSERT](https://docs.microsoft.com/sql/t-sql/statements/bulk-insert-transact-sql#e-importing-data-from-a-csv-file) or [OPENROWSET](https://docs.microsoft.com/sql/t-sql/functions/openrowset-transact-sql#g-accessing-data-from-a-csv-file-with-a-format-file) as an alternative for CSV format. | No. Use [BULK INSERT](https://docs.microsoft.com/sql/t-sql/statements/bulk-insert-transact-sql#e-importing-data-from-a-csv-file) or [OPENROWSET](https://docs.microsoft.com/sql/t-sql/functions/openrowset-transact-sql#g-accessing-data-from-a-csv-file-with-a-format-file) as an alternative for CSV format. Track this requests on [SQL Managed Instance Feedback item](https://feedback.azure.com/forums/915676-sql-managed-instance/suggestions/35657887-linked-server-to-non-sql-sources)|

articles/azure-sql/database/multi-model-features.md

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- You have some information or structures that are better fit for NoSQL models and you don't want to use separate NoSQL database.
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- A majority of your data is suitable for relational model, and you need to model some parts of your data in NoSQL style.
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- You want to leverage rich Transact-SQL language to query and analyze both relational and NoSQL data, and integrate it with a variety of tools and applications that can use SQL language.
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- You want to apply database features such as [in-memory technologies](../in-memory.md) to improve performance of your analytic or processing of your NoSQL data structures, use [transactional replication](../managed-instance/replication-transactional-overview.md) or [readable replicas](read-scale-out.md) to create copy of your data on the other place and offload some analytic workloads from the primary database.
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- You want to apply database features such as [in-memory technologies](../in-memory-oltp-overview.md) to improve performance of your analytic or processing of your NoSQL data structures, use [transactional replication](../managed-instance/replication-transactional-overview.md) or [readable replicas](read-scale-out.md) to create copy of your data on the other place and offload some analytic workloads from the primary database.
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## Overview
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articles/azure-sql/database/purchasing-models.md

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To gain deeper insight into the resource (DTU) consumption of your workload, use [query-performance insights](query-performance-insight.md) to:
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- Identify the top queries by CPU/duration/execution count that can potentially be tuned for improved performance. For example, an I/O-intensive query might benefit from [in-memory optimization techniques](../in-memory.md) to make better use of the available memory at a certain service tier and compute size.
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- Identify the top queries by CPU/duration/execution count that can potentially be tuned for improved performance. For example, an I/O-intensive query might benefit from [in-memory optimization techniques](../in-memory-oltp-overview.md) to make better use of the available memory at a certain service tier and compute size.
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- Drill down into the details of a query to view its text and its history of resource usage.
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- Access performance-tuning recommendations that show actions taken by [SQL Database Advisor](database-advisor-implement-performance-recommendations.md).
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articles/azure-sql/database/sql-database-paas-overview.md

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With Azure SQL Database, you can create a highly available and high-performance data storage layer for the applications and solutions in Azure. SQL Database can be the right choice for a variety of modern cloud applications because it enables you to process both relational data and [non-relational structures](multi-model-features.md), such as graphs, JSON, spatial, and XML.
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It's based on the latest stable version of the [Microsoft SQL Server database engine](https://docs.microsoft.com/sql/sql-server/sql-server-technical-documentation?toc=/azure/sql-database/toc.json). You can use advanced query processing features, such as [high-performance in-memory technologies](../in-memory.md) and [intelligent query processing](https://docs.microsoft.com/sql/relational-databases/performance/intelligent-query-processing?toc=/azure/sql-database/toc.json). In fact, the newest capabilities of SQL Server are released first to SQL Database, and then to SQL Server itself. You get the newest SQL Server capabilities with no overhead for patching or upgrading, tested across millions of databases.
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It's based on the latest stable version of the [Microsoft SQL Server database engine](https://docs.microsoft.com/sql/sql-server/sql-server-technical-documentation?toc=/azure/sql-database/toc.json). You can use advanced query processing features, such as [high-performance in-memory technologies](../in-memory-oltp-overview.md) and [intelligent query processing](https://docs.microsoft.com/sql/relational-databases/performance/intelligent-query-processing?toc=/azure/sql-database/toc.json). In fact, the newest capabilities of SQL Server are released first to SQL Database, and then to SQL Server itself. You get the newest SQL Server capabilities with no overhead for patching or upgrading, tested across millions of databases.
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SQL Database enables you to easily define and scale performance within two different purchasing models: a [vCore-based purchasing model](service-tiers-vcore.md) and a [DTU-based purchasing model](service-tiers-dtu.md). SQL Database is a fully managed service that has built-in high availability, backups, and other common maintenance operations. Microsoft handles all patching and updating of the SQL and operating system code. You don't have to manage the underlying infrastructure.
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articles/azure-sql/in-memory-oltp-migration.md

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# Use In-Memory OLTP to improve your application performance in Azure SQL Database and Azure SQL Managed Instance
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[In-Memory OLTP](in-memory.md) can be used to improve the performance of transaction processing, data ingestion, and transient data scenarios, in [Premium and Business Critical tier](database/service-tiers-vcore.md) databases without increasing the pricing tier.
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[In-Memory OLTP](in-memory-oltp-overview.md) can be used to improve the performance of transaction processing, data ingestion, and transient data scenarios, in [Premium and Business Critical tier](database/service-tiers-vcore.md) databases without increasing the pricing tier.
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> [!NOTE]
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> Learn how [Quorum doubles key database's workload while lowering DTU by 70% with SQL Database](https://customers.microsoft.com/story/quorum-doubles-key-databases-workload-while-lowering-dtu-with-sql-database)
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To tailor and run the test workload, consider using the handy `ostress.exe` tool, which illustrated in this [in-memory](in-memory.md) article.
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To tailor and run the test workload, consider using the handy `ostress.exe` tool, which illustrated in this [in-memory](in-memory-oltp-overview.md) article.
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To minimize network latency, run your test in the same Azure geographic region where the database exists.
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articles/azure-sql/in-memory-oltp-monitoring.md

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# Monitor In-Memory OLTP storage in Azure SQL Database and Azure SQL Managed Instance
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When using [In-Memory OLTP](in-memory.md), data in memory-optimized tables and table variables resides in In-Memory OLTP storage.
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When using [In-Memory OLTP](in-memory-oltp-overview.md), data in memory-optimized tables and table variables resides in In-Memory OLTP storage.
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## Determine whether data fits within the In-Memory OLTP storage cap
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