To expand on Raymond's response. If you decide to implement sharding, you don’t need to migrate all of the original data into a sharding cluster. Here are some of the benefits of a sharded database: Taking advantage of greater resources within the cloud on demand. The following example in C# uses a set of SQL Server databases acting as shards. Microsoft Azure Collective See more. In this article. The tool must be run from a local machine. This increase applies to both serverless and provisioned compute. Use the sharding policy management commands to manage data sharding policies for databases and tables. The tenant database is provisioned with New-TenantDatabase. The database is created within an Azure resource group and is managed using an logical SQL server. All the. Everything works great. MongoDB is an open source tool with 16. I am using SQL management studio to connect my Azure db. Azure SQL offers Elastic Database Tools to help implement sharding. 42 to 5. I need some advice and opinions about. Applies to: Azure SQL Database. It also allows for richer remote database querying topologies like the one illustrated in the following figure where a. Simple stuff so far. In this respect, Azure SQL databases are the perfect candidates for sharding because they can be created or deleted on demand, provide near-zero administration, and have built-in fault tolerance. Search Automation in the Azure. . Oracle Sharding provides the best features and capabilities of mature RDBMS and NoSQL databases, as described here. But Sql Server -- and the associated community of people writing things like blog posts and documentation -- don't call it sharding. The shard map manager is a special database that maintains global mapping information about all shards (databases) in a shard set. SQL Server Firewall access: In the Azure portal, navigate to SQL server. With the Elastic Database tools, you can create sharded database solutions. 1. In Azure SQL Database and Azure Synapse Analytics, a server is a logical construct that acts as a central administrative point for a collection of databases. APPLIES TO: Azure Cosmos DB for PostgreSQL (powered by the Citus database extension to PostgreSQL) Azure Cosmos DB for PostgreSQL includes features beyond standard PostgreSQL. Based on industry-standard sharding. Intermediate storage sizes are not currently supported. I have the same question 12 {count} votes. There are really two approaches you can take with this: Azure SQL Data Warehouse. However, I can't find any guidance on MS website for recommended. - GitHub - Azure/elastic-db-tools: Elastic database tools client library allows ADO. I'm not sure what your use case is but Elastic Database Tools for Azure SQL Database allow you to implement sharding if you are partitioning. The Elastic Scale APIs give you a connection to the correct database for your sharding key, but do not provide sharding key filtering. However there comes a poi. Database Sharding. Part of Microsoft Azure Collective. 1. it would be great if you can try Elastic Database jobs. In this article. In the code implementing database creation: DbUtils. Azure SQL Database automatically opens a connection to the remote database, processes your request on the remote database, and returns the results. Remember the name of. The goal here was to split the database load across 3 Azure SQL databases and up the concurrency factor on the app. In the Data Connection Wizard type the server name and login credentials. Elastic Scale allows you to maintain many Azure SQL Server databases with one central point of reference for schema management, querying, reporting, and maintenance. The database is managed; Google manages sharding and replication and prices according to storage and. The DDL for your specific need will vary depending on the indexes on the existing tables and whether you want to partition those. In the command window, type "1" and press Enter. Posted on October 2, 2014. To easily scale out databases on Azure SQL Database, use a shard map manager. Download the latest NuGet version from NuGet. Sharding is a means of spreading records across multiple databases in order to decrease the load on any one particular database. Azure SQL Database provides tools to support sharding. For SQL Database (previously known as SQL Azure) you don't need a library for sharding instead you can do it directly with your database and let application to use ADO. When connecting to the database initially, the shard director sets up the routing information and caches the information for subsequent requests, which bypass the shard director. Detailed upgrade steps for the Service can be found here. As you've pointed out, there are aspects that just do not feel right about it. The databases in an elastic pool are on a single server and share a set number of resources at a set price. Using the Database sharding, I believe this would be called adding a shard and the user would then be added to our ShardMapManager and given a shard key which would allow them to read and write data to the newly created Database(Shard). Data storage limits in Azure SQL Database have increased from 1. The app uses a database-per-tenant pattern to store the data of multiple tenants. I believe the database connection is created lazily in EF, and you are able to set the connection string up until the EF first needs to actually connect to the database. Sharded database applications in Azure: With this scenario, the data tier uses the Elastic Database client library or self-sharding to horizontally partition the data across many databases in SQL Database or SQL Managed Instance. The 4 TB database maxsize cannot be changed to 1 TB even if the actual storage used is below 1 TB. Azure SQL Database's read scale-out support in the Premium and Business Critical service tiers is now generally available. Search for and select Azure SQL. I am in the process of designing a SaaS system that will be running in Azure and utilizing SQL Server. · Hi Rajesh, Sharding logic needs to be. Connections to Azure SQL Database are always encrypted, as they take place over the public internet. Use F11 to step into how the database is provisioned by using an Azure Resource Manager template. Each shard is counted as a separate database in the elastic pool; Therefore, if you have 10 shards in an elastic pool, you will have 10 databases in the pool. Step 2: Create the shard map. So in the Getting Started sample, the Customers and Orders table both contain a CustomerId column, and you can see that in DataDependentRoutingSample. In this blog post (Part 1), I am going to have a look at what it means to Scale Horizontally and what Sharding is all about. Now, Use “ localhost ” as the server name, then press Enter. This makes possible common cross-database querying tasks like selecting from a remote table into a local table. 4,492 questions Sign in to follow Sign in to follow 1 comment Hide comments for this question Report a concern. execute_query. Class names may differ. David has produced a talk all about Sharding. The repository contains demo application that creates sharding for Azure SQL Managed Instances and some code samples that show how distributed transactions can be used with sharding. A set of SQL databases is hosted on Azure using sharding architecture. This article gives an overview of how to set up infrastructure and managed instances to implement Windows Authentication for principals on Azure SQL Managed Instance with Microsoft Entra ID (formerly Azure Active Directory). Logical partitions are formed based on the value of a partition key that is associated with each item in a container. 1 Answer. The app is designed to showcase features of Azure SQL Database that simplify how to enable SaaS scenarios. Sharding is a means of spreading records across multiple databases in order to decrease the load on any one particular database. 2 days ago · Azure Synapse SQL is a distributed query system in Azure Synapse Analytics that offers two kinds of runtime environments: Serverless SQL pool: An On-demand SQL. DATABASE SHARDING. It cannot be uploaded and run from an Azure environment. ", I'm afraid it may not. Having a large number of clients performing high-throughput operations can really test the limits of a single database instance. If your application requires a lot of write, you could explore the option of sharding based on customer location and position the shards in the regions. Some databases have out-of-the-box support for sharding. Here are some of the benefits of a sharded database: Taking advantage of greater resources within the cloud on demand. I would choose sharding to easily scale out databases. A single machine, or database server, can store and process only a limited amount of data. Here's a link to MongoDB's open source repository on GitHub. Now, to reduce the cost we want to remove the rest api and store the data in the DB hosted across all the regions. The problem according to them is that Azure size limit is 4 terabytes (and it will double that size in a couple of months but luckily just it wont keep growing like that). Note that only the elastic query database needs to be a Azure SQL Database v12 database. The metadata allows an application to connect to the correct database based upon the value of the sharding key. As I mentioned earlier in this guide, “sharding” is the process of distributing rows from one or more tables across multiple database instances on different servers. Data partitioning strategies Azure Table Storage This article describes some strategies for partitioning data in various Azure data stores. For pricing information see SQL Database Pricing Details. I need some advice and opinions about having. I emphasized the last sentence because that’s the key part – a multi-tenant / SaaS application will have a database for. Auto sharding or data sharding is needed when a dataset is too big to be stored in a single. This article describes the scenarios that Hyperscale supports and the features that are compatible with Hyperscale. Create an Azure SQL Database database that will be used as the split-merge status database. As described in Distributed functions architecture, Azure SQL Database Hyperscale has two different types of compute nodes, also referred to as replicas: Primary: serves read and write operations. Azure SQL Database serverless provides a solution to help address these challenges, but until now serverless has only been available in the General Purpose tier. This capability redirects the read-only client connections to one of the automatically provisioned HA replicas and effectively doubles the compute capacity of the database or elastic pool at no additional charge. It provides information on what happens when resource limits are reached, and describes resource governance mechanisms that are used to enforce these limits. We're rolling back the changes to the Acceptable Use Policy. About Oracle Sharding. We'll then review some. System Design for Beginners: Design for Experienced Engineers: a member. Azure Elastic Database Pool. Or if you prefer horizontally scaling your Azure SQL database. We’ll lose some database engine features that relied on directly working in the data file – for example, right now Hyperscale doesn’t offer Transparent Data Encryption or bulk logged. In sharding-sphere-example, we update the database connection drivers of MySQL and PostgreSQL • mysql-connector-java version from 5. From a requirements perspective 1) concurrent ETL processes thus concurrent writes to datawarehouse 2) consumers of the data would use a single point/query delegator. using and securing Sharding data. The traditional way in which Azure Cosmos DB for PostgreSQL shards tables is the single database, shared schema model also known as row-based sharding, tenants coexist as rows within the same table. There is no explicit link between the the sharding key in the SQL schema and its usage (in code). Creating database objects . At its most basic level, database scalability can be divided into two types: Vertical scaling, or scaling up or down, where you increase or decrease computing power or databases as needed—either by changing performance levels or by using elastic database pools to automatically adjust to your workload demands. Apache ShardingSphere is a distributed database middleware created to solve data sharding issues. A DTU is supposed to increase performance linearly. Understand the tradeoffs between batching/buffering and resiliency. In Azure, it's called Azure SQL Database Managed Instance for SQL Server and Azure SQL Database for MySQL, PostgreSQL, or Maria DB. To enforce resource limits, Azure SQL Database uses a resource governance implementation that is based on SQL Server Resource Governor, modified and extended to run in the cloud. In this respect, Azure SQL databases are the perfect candidates for sharding because they can be created or deleted on demand, provide near-zero administration, and have built-in fault tolerance. Azure SQL Database provides a good number of tools here to support sharding. It cannot be uploaded and run from an Azure environment. A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Featured on Meta Update: New Colors Launched. Oct 5, 2016 at 19:02. 5 TB to 2 TB for single databases and elastic pools configured with 8 and 10 vcores. On the Subscriptions page, select Resource providers under Settings. . Enables you to reliably execute a Transact-SQL (T-SQL) script or apply a DACPAC ( data-tier application ) across a group of databases. Azure SQL data warehouse takes a similar approach to what you are doing now, using VM's running SQL but couples that with Azure Storage and a control layer to help you spread your data over multiple nodes and. Azure Cosmos DB uses partitioning to scale individual containers in a database to meet the performance needs of your application. This library provides a Shard technology that allows you to spread the load of database queries over multiple. · Hello, On a Basic tier the. I have used sharding and partitioning to overcome this issue. Using the Elastic Database tools, you can quickly scale out databases in Azure SQL Database. Follow these steps to create a blank database. Sharding spreads the load over more computers, which reduces contention and improves performance. In addition, both geography restrictions and client confidentiality might be two other reasons for database sharding. Wikipedia says that database sharding “A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. For more information about Azure SQL Database Elastic Database tools, geo-replication and Restore, see the following: In this tutorial, you deploy and explore a sample multi-tenant SaaS application that is named Wingtip Tickets. Go to the Azure portal to create an elastic pool. The library includes APIs for creating and managing shard maps, routing SQL operations to the appropriate. Sharing the Load. In this article Overview. Configure threat detection to let Azure SQL Database identify suspicious activities such as SQL Injection or access from suspicious locations. Capabilities. Creates an external data source for querying using SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Synapse Analytics, Analytics Platform System (PDW), or Azure SQL Edge. Enter sql in the filter to bring up the SQL-related extensions. These terms are used in Adding a shard using Elastic Database tools and Using the RecoveryManager class to fix shard. A single machine, or database server, can store and process only a limited amount of data. I have an application with multiple Azure SQL databases sharded by a key. Applies to: Azure SQL Database When building and deploying cloud services with Azure SQL Database, you use active geo-replication or auto-failover groups to provide resilience to regional outages and catastrophic failures. It is essentially. The application will leverage an Azure Elastic Database Pool to support scaling out via Sharding. 5. 207. In this paper, the authors present an architecture and implementation of a distributed database system using sharding to provide high availability, fault-tolerance, and. Both offerings are considered Platform as a Service (PaaS) implementations, which by nature offer certain limitations that we will cover. This implementation of the Wingtip Tickets app uses a sharded multi-tenant database pattern. Each tablet has a Raft group of its own with one leader and a number of followers equal to RF-1. Featured on Meta We're rolling back the. This implementation of the Wingtip Tickets app uses a sharded multi-tenant database pattern. I contacted Microsoft Customer Support who advised I should implement custom sharding for sclaing the database. Each shard holds the data for a contiguous range of shard keys (A-G and H-Z), organized alphabetically. In this article. これらのツールと機能では、 Azure SQL データベース のデータベースのリソースを使用して、トラン. Get started with pay-as-you-go pricing. Elastic Database features, on the other hand, are made. In the next window, enter the fully qualified server name and specify Direct Query as the data connectivity. Sharding in MySQL currently has several. Microsoft Azure Collective See more. Step 1: Connect to SQL Server using sqlcmd. The Wingtip Tickets app is designed to showcase features of Azure SQL Database that simplify the implementation of SaaS scenarios. Replace localhost and password. For the first step, s elect “Publish to an existing Azure SQL logical server“. Alberto Morillo 31,771 Reputation points • MVP 2022-06-28T04:53:10. The shard map manager is a special database that maintains global. Doing so is a challenge since you’ll face the following issues: How to shard data while the business is running 24/7. These parameters can be set in the Azure portal for a cluster. On the other hand, with Azure Synapse Dedicated SQL Pools the data is sharded into distributions to optimize the performance of the system. In this article. 1. Many customers that use Azure SQL Database Hyperscale with tables larger than 1 TB in size may benefit from partitioning them to implement a maintenance plan tailored to a group of partitions, understanding and customizing the maintenance needs of each subgroup of partitions, instead of having to inevitably execute a maintenance plan. Now I decided to do database sharding plus multi tenant data by client wise data but have doubts in which way i should go as there are lots. Select Create to open the Select SQL deployment option pane. If Azure SQL is not in the list, select All services, then type "Azure SQL" in the search box. This article provides answers to frequently asked questions for customers considering a database in the Azure SQL Database Hyperscale service tier, referred to as just Hyperscale in the remainder of this FAQ. The feature provides recommendations related to. It also allows for richer remote database querying topologies like the one illustrated in the following figure where a number of. It appears you are using the single tenant per database, which is the simplest to manage. Posted on October 2, 2014. These terms are used in Adding a shard using Elastic Database tools and Using the RecoveryManager class to fix shard map problems. 5K GitHub stars and 4. Code. From a requirements perspective 1) concurrent ETL processes thus concurrent writes to datawarehouse 2) consumers of the data would use a single point/query delegator. 2. Azure SQL database is scalable database platform as a service that enables you to easily increase or remove resources in your database, offload. Divide An Azure Database into Multiple Databases (Shards) for many positive reasons. To create a new elastic pool, authenticate yourself in the Azure portal and search for SQL elastic pools. A subset of the databases is put into an elastic pool. Sometimes, a Storage Spaces pool (on Windows) or an LVM volume (on Linux) is created using multiple disks, to aggregate IOPS/throughput provided by multiple disks, and to increase storage size. To view the capacity of each tier, click on the respective tab. In common setups like a cache-aside architecture, the most used data is stored in a fast and easy-to-access cache. NET developers to create applications that implement and use the pattern known as database sharding in Azure SQL Database. In this article. The tools are used to manage shard maps, and include the client library, the split-merge tool, elastic pools, and queries. Fill in the information for your databases at the beginning of Program. Azure SQL Database and MongoDB belong to "Databases" category of the tech stack. Existing Azure SQL Database Federation installations can be migrated to Elastic Database by using the Federations Migration Utility. Sharding. I logged into Azure at the weekend to set up a basic federated database structure, and discovered that Federations have been deprecated. This implementation of the Wingtip Tickets app uses a sharded multi-tenant database pattern. sln solution from the elastic-db-tools-master directory. specify the SQL Database server name that hosts the shard map manager in SQL Database or a SQL Server database on a virtual machine. Serverless Hyperscale optimizes price-performance and simplifies performance management for databases with intermittent and unpredictable usage while leaving room for growing to extreme scale. This creates the shard map manager, and adds two shards to the server. If you want to follow along with David’s. We want to use Sharding data, not because we have large amount of data, but because we have almost same schema from different organizations. For example, if you use autoincremented fields. The SKU recommendations feature allows you to both collect performance data from your source SQL Server instances hosting your databases, and recommends minimum Azure SQL Database, Azure SQL Managed Instance, or SQL Server on Azure VM SKU based on the data collected. Each shard is held on a separate database server instance, to spread. Azure Cosmos DB for MongoDB makes it easy to use Azure Cosmos DB as if it were a MongoDB database. Please review the following information form ore details on what the three of these each imply: Database properties for pooled databases. Can have a database name different from the primary replica, and optionally be. It allows you to perform cross-database queries to access remote tables, and to connect Microsoft and third party tools (Excel, PowerBI, Tableau, etc. Go to Subscriptions and select the subscription of interest. The API enables easy deployment with few code changes and continued use of MongoDB drivers, SDKs, and tools. Applies to: Azure SQL Database. NET developers to create applications that implement and use the pattern known as database sharding in Azure SQL Database. Below is a categorized reference of functions and configuration options for: Parallelizing query execution across shards. Azure Cosmos DB for MongoDB. in this article point 4 saying so. Applies to: Azure SQL Database. Azure SQL Database differs from on-premises SQL Server in a few ways. At Yugabyte, we are committed to provide our customers with a robust, scalable, and highly available Database as a Service (DBaaS). This question is in a collective: a subcommunity defined by tags with relevant content and experts. Figure 1 - Employee Payroll System. Azure Elastic Database tools provide libraries and services that simplify sharding and allow you to scale out your databases easily, while Azure takes care of load balancing, failover, and backup. Open the wingtip-sa-catalog-<user> resource group and note the catalog server and database. How-To Guide. 0, Citus introduces a very exciting feature called schema-based sharding. It might be best just to recreate the shard map from scratch. Part of Microsoft Azure Collective. 4. var dbContext = _dbContextFactory. With Azure SQL Database, just specify the PRIMARY for all filegroups in the partition scheme. For general guidance about when to. In the second part, you will scale and run multiple container instances of the microservice and database. When I get a database connection using a sharding key, I can still query data for other sharding keys on the same shard. Elastic Scale allows you to maintain many Azure SQL Server databases with one central point of reference for schema management, querying, reporting, and maintenance. The next series of steps will create a connection profile to the locally running database. Create database master key and database scoped credential as shown in vertical partitioning but here the database should have the same structure. Applies to: Azure SQL Database. To split three shards, including all shard maps, you must perform 12 operations: add 3 shards and split each shard 3 times - once for each shard map. To download and run the sample, follow these steps: Download the Elastic DB Tools for Azure SQL - Getting Started sample. var dbContext = _dbContextFactory. Instead of routing all writes to one server and scaling up, it’s possible to write to many servers and scale out. Select the Customers table in the list view and click Next. In this post, we will examine various data sharding strategies for a distributed SQL database, analyze the tradeoffs, explain. For example, MySQL can be sharded through a driver, PostgreSQL has the Postgres-XC project, and other databases. It provides automatic scaling up and down. Sharding is to break your data into different sets that can then be processed by different databases. Currently, you need to create partitions manually. Database sharding overview. This library provides a Shard technology that allows you to spread the load of database queries over multiple databases easily (SQL Server and SQL Azure). You can choose which sharding pattern to use to distribute the data when you define the table. Create a Database Scoped Credential. Additionally, each subset is called a shard. TenantId}. Applies to: Azure SQL Database The split-merge tool lets you move data between sharded databases. 5ms. Having outlined the multi-master sharding archetype and the challenges involved with utilizing it for sharding data, it is now possible to outline a set of guidelines and processes for effectively performing sharding using SQL Database. A shard is an individual partition that exists on separate database server instance to spread load. Some customers use sharding techniques to spread database operations over multiple. Instance pools in Azure SQL Managed Instance provide a convenient and cost-efficient way to migrate smaller SQL Server instances to the cloud at scale. Each shard has the same schema but holds a distinct subset of the data. 2. To view more information about elastic pools, on the Databases tile, select Show details. Applies to: Azure SQL Database The Elastic Database client library uses three different kinds of credentials to access the shard map manager. Most notably, elastic database query now supports querying across databases in Azure SQL Database. Scaling out vs. 5. NoSQL databases are interchangeably referred to as “nonrelational,” “NoSQL DBs,” or “non-SQL” to highlight the fact that they can handle huge volumes of rapidly changing, unstructured data in different ways than a relational (SQL) database with rows and tables. Azure SQL Database enables you to easily change resources (CPU power, memory, IO throughput, and storage) allocated to your databases. CreateShard (new ShardLocation (shardServer, "your_clean_database"));. The SQL Sharding Deployment Tool is an executable that deploys and manages the xDB Collection database and can be used on its own if you want greater control over parameters, such as the number of shards to deploy. This may become necessary even of some of your table row counts are still in the millions, let alone billions. . The. For a horizontal partitioning (sharding) tutorial, see Getting started with elastic query for horizontal partitioning (sharding). At this point in time Elastic Database tools (formerly known as Elastic Scale) doesn't support hash shard maps. Secondary: provides read scale-out, high availability, and geo-replication. Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. If you ever plan to do data movement with Split-Merge you will need to store the. These tools and capabilities enable you to leverage Azure SQL Database’s database resources to build solutions for transactional workloads, particularly Software as a Service (SaaS) applications. In this article. Stack Overflow. Horizontal partitioning - sharding Using elastic query to perform reporting tasks over a sharded, that is, horizontally partitioned, data tier requires an elastic database shard map to represent the. Sharding at the core is splitting your data up to where it resides in smaller chunks, spread across distinct separate buckets. Ruggiero on Unsplash 3- Optimize your schema for Azure SQL. 8TB of storage used. Therefore, it might be required to use database sharding to spread a large database across several Azure. Elastic database tools client library allows ADO. Depending on the need, use the credential with the lowest level of access possible. Conclusion. Serverless for Hyperscale in Azure SQL Database was recently introduced to provide compute auto-scaling benefits in the Hyperscale tier. 5 milliseconds for log writes, and as they roll out Azure Ultra SSD, the goal is dropping to <0. Azure SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases, but no only one database. We are looking at either 1) shard via elastic database tools or 2) Azure Synapse MPP datawarehouse. And in GCP, it's called Cloud SQL . Scaling out vs. Azure SQL Database is available as a single database with its own set of resources managed via a logical server, and as a pooled database in an elastic pool, with a shared set of resources managed through a logical server. azure-sql-database; or ask your own question. See more on the basics of sharding here. I wrote a proof of concept about a month ago using NHibernate on SQLAzure/Sharding. 1. 2 min read. Under the Database pane, you can see SQL Database. Its three main components are the Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics, which all offer different services and use cases. 5Distributed SQL: Sharding and Partitioning in YugabyteDB. We are looking at either 1) shard via elastic database tools or 2) Azure Synapse MPP datawarehouse. The documentation for shard management using the Elastic Database Tools seems to imply that all the database instances must be in the same Elastic Pool, and therefore on the same database VM instance. Azure SQL Database. In general, elastic pools are designed for a typical software-as-a-service (SaaS) application pattern, with one database. Azure Elastic Database tools provide libraries and services that simplify sharding and allow you to scale out your databases easily, while Azure takes care of load balancing, failover, and backup. Issues. Remember the name of. Horizontal partitioning is an important tool for developers working with extremely large datasets. This way exe used by the user will store data directly in the DB in the same region as the application. With a single database, each database is isolated, using a dedicated database engine. Important. This allows for larger datasets to be split into smaller chunks and stored in multiple data nodes, increasing the total storage capacity of the system. Pull requests. MongoDB is a modern, document-based database that supports both of these. You should post this on the SQL Azure forum. Open a command prompt and navigate to the directory where you downloaded. How the database is split up is an architectural decision that will be driven by how you need to access the information. Build the solution in. 2 min read. However, many workloads that can benefit from serverless may require greater performance and scale along with other capabilities unique to the Hyperscale tier. Install ODBC driver and pyodbc pip install pyodbc More details. Caching is a common technique that aims to improve the performance and scalability of a system. 詳細については. Use the split-merge tool to move data from constrained databases to the new databases. Colocation helps optimize JOINs across these tables. Create your logic app for Azure Automation of scaling resources. The tenant identifier is the leading element in the primary key of all sharded tables. A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Sharding: Horizontal Scaling in Azure SQL Database. One prominent use case is the need to perform atomic changes for a sharded multi-tenant application when changes. You will use docker compose and a load balancer. In this article. The library includes APIs for creating and managing shard maps, routing SQL operations to the appropriate shard, and performing queries that cross many shards. To easily scale out databases on Azure SQL Database, use a shard map manager.