Download [TOP] Data From Synapse

I have a setup, where a Pipeline is extracting data from an SQL-server and writing it to parquet files, which is then read by external tables in a Synapse serverless setup. For one of the files, synapse isn't returning any data. It's not throwing any errors, just not showing data.

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Download Data From Synapse

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This article outlines how to use Copy Activity in Azure Data Factory or Synapse pipelines to copy data from and to Azure Synapse Analytics, and use Data Flow to transform data in Azure Data Lake Storage Gen2. To learn about Azure Data Factory, read the introductory article.

If you copy data by using an Azure Integration Runtime, configure a server-level firewall rule so that Azure services can access the logical SQL server.If you copy data by using a self-hosted integration runtime, configure the firewall to allow the appropriate IP range. This range includes the machine's IP that is used to connect to Azure Synapse Analytics.

To achieve best performance, use PolyBase or COPY statement to load data into Azure Synapse Analytics. The Use PolyBase to load data into Azure Synapse Analytics and Use COPY statement to load data into Azure Synapse Analytics sections have details. For a walkthrough with a use case, see Load 1 TB into Azure Synapse Analytics under 15 minutes with Azure Data Factory.

If you hit error with error code as "UserErrorFailedToConnectToSqlServer" and message like "The session limit for the database is XXX and has been reached.", add Pooling=false to your connection string and try again.

Provision a Microsoft Entra administrator for your server in the Azure portal if you haven't already done so. The Microsoft Entra administrator can be a Microsoft Entra user or Microsoft Entra group. If you grant the group with managed identity an admin role, skip steps 3 and 4. The administrator will have full access to the database.

Create contained database users for the service principal. Connect to the data warehouse from or to which you want to copy data by using tools like SSMS, with a Microsoft Entra identity that has at least ALTER ANY USER permission. Run the following T-SQL:

Grant the service principal needed permissions as you normally do for SQL users or others. Run the following code, or refer to more options here. If you want to use PolyBase to load the data, learn the required database permission.

A data factory or Synapse workspace can be associated with a system-assigned managed identity for Azure resources that represents the resource. You can use this managed identity for Azure Synapse Analytics authentication. The designated resource can access and copy data from or to your data warehouse by using this identity.

Provision a Microsoft Entra administrator for your server on the Azure portal if you haven't already done so. The Microsoft Entra administrator can be a Microsoft Entra user or Microsoft Entra group. If you grant the group with system-assigned managed identity an admin role, skip steps 3 and 4. The administrator will have full access to the database.

Create contained database users for the system-assigned managed identity. Connect to the data warehouse from or to which you want to copy data by using tools like SSMS, with a Microsoft Entra identity that has at least ALTER ANY USER permission. Run the following T-SQL.

Grant the system-assigned managed identity needed permissions as you normally do for SQL users and others. Run the following code, or refer to more options here. If you want to use PolyBase to load the data, learn the required database permission.

A data factory or Synapse workspace can be associated with a user-assigned managed identities that represents the resource. You can use this managed identity for Azure Synapse Analytics authentication. The designated resource can access and copy data from or to your data warehouse by using this identity.

Provision a Microsoft Entra administrator for your server on the Azure portal if you haven't already done so. The Microsoft Entra administrator can be a Microsoft Entra user or Microsoft Entra group. If you grant the group with user-assigned managed identity an admin role, skip steps 3. The administrator will have full access to the database.

Create contained database users for the user-assigned managed identity. Connect to the data warehouse from or to which you want to copy data by using tools like SSMS, with a Microsoft Entra identity that has at least ALTER ANY USER permission. Run the following T-SQL.

Create one or multiple user-assigned managed identities and grant the user-assigned managed identity needed permissions as you normally do for SQL users and others. Run the following code, or refer to more options here. If you want to use PolyBase to load the data, learn the required database permission.

To copy data from Azure Synapse Analytics, set the type property in the Copy Activity source to SqlDWSource. The following properties are supported in the Copy Activity source section:

The Azure Synapse Analytics connector in copy activity provides built-in data partitioning to copy data in parallel. You can find data partitioning options on the Source tab of the copy activity.

When you enable partitioned copy, copy activity runs parallel queries against your Azure Synapse Analytics source to load data by partitions. The parallel degree is controlled by the parallelCopies setting on the copy activity. For example, if you set parallelCopies to four, the service concurrently generates and runs four queries based on your specified partition option and settings, and each query retrieves a portion of data from your Azure Synapse Analytics.

You are suggested to enable parallel copy with data partitioning especially when you load large amount of data from your Azure Synapse Analytics. The following are suggested configurations for different scenarios. When copying data into file-based data store, it's recommended to write to a folder as multiple files (only specify folder name), in which case the performance is better than writing to a single file.

When using COPY statement with Azure Integration Runtime, effective Data Integration Units (DIU) is always 2. Tuning the DIU doesn't impact the performance, as loading data from storage is powered by the Azure Synapse engine.

Azure Synapse Analytics COPY statement directly supports Azure Blob, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2. If your source data meets the criteria described in this section, use COPY statement to copy directly from the source data store to Azure Synapse Analytics. Otherwise, use Staged copy by using COPY statement. the service checks the settings and fails the copy activity run if the criteria is not met.

When your source data is not natively compatible with COPY statement, enable data copying via an interim staging Azure Blob or Azure Data Lake Storage Gen2 (it can't be Azure Premium Storage). In this case, the service automatically converts the data to meet the data format requirements of COPY statement. Then it invokes COPY statement to load data into Azure Synapse Analytics. Finally, it cleans up your temporary data from the storage. See Staged copy for details about copying data via a staging.

Using PolyBase is an efficient way to load a large amount of data into Azure Synapse Analytics with high throughput. You'll see a large gain in the throughput by using PolyBase instead of the default BULKINSERT mechanism.

Learn more on Best practices for using PolyBase. When using PolyBase with Azure Integration Runtime, effective Data Integration Units (DIU) for direct or staged storage-to-Synapse is always 2. Tuning the DIU doesn't impact the performance, as loading data from storage is powered by Synapse engine.

Azure Synapse Analytics PolyBase directly supports Azure Blob, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2. If your source data meets the criteria described in this section, use PolyBase to copy directly from the source data store to Azure Synapse Analytics. Otherwise, use Staged copy by using PolyBase.

To copy data efficiently to Azure Synapse Analytics, learn more from Azure Data Factory makes it even easier and convenient to uncover insights from data when using Data Lake Store with Azure Synapse Analytics.

If your source is a folder, note PolyBase retrieves files from the folder and all of its subfolders, and it doesn't retrieve data from files for which the file name begins with an underline (_) or a period (.), as documented here - LOCATION argument.

When your source data is not natively compatible with PolyBase, enable data copying via an interim staging Azure Blob or Azure Data Lake Storage Gen2 (it can't be Azure Premium Storage). In this case, the service automatically converts the data to meet the data format requirements of PolyBase. Then it invokes PolyBase to load data into Azure Synapse Analytics. Finally, it cleans up your temporary data from the storage. See Staged copy for details about copying data via a staging.

To use PolyBase, the user that loads data into Azure Synapse Analytics must have "CONTROL" permission on the target database. One way to achieve that is to add the user as a member of the db_owner role. Learn how to do that in the Azure Synapse Analytics overview.

When your source data has rows greater than 1 MB, you might want to vertically split the source tables into several small ones. Make sure that the largest size of each row doesn't exceed the limit. The smaller tables can then be loaded by using PolyBase and merged together in Azure Synapse Analytics. ff782bc1db