Copy data from Teradata Vantage using Azure Data Factory and Synapse Analytics

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10/20/2023

Current version

APPLIES TO: Azure Data Factory Azure Synapse Analytics

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This article outlines how to use the copy activity in Azure Data Factory and Synapse Analytics pipelines to copy data from Teradata Vantage. It builds on the copy activity overview.

Supported capabilities

This Teradata connector is supported for the following capabilities:

Supported capabilities	IR
Copy activity (source/-)	① ②
Lookup activity	① ②

① Azure integration runtime ② Self-hosted integration runtime

For a list of data stores that are supported as sources/sinks by the copy activity, see the Supported data stores table.

Specifically, this Teradata connector supports:

Teradata version 14.10, 15.0, 15.10, 16.0, 16.10, and 16.20.
Copying data by using Basic, Windows, or LDAP authentication.
Parallel copying from a Teradata source. See the Parallel copy from Teradata section for details.

Prerequisites

If your data store is located inside an on-premises network, an Azure virtual network, or Amazon Virtual Private Cloud, you need to configure a self-hosted integration runtime to connect to it.

If your data store is a managed cloud data service, you can use the Azure Integration Runtime. If the access is restricted to IPs that are approved in the firewall rules, you can add Azure Integration Runtime IPs to the allow list.

You can also use the managed virtual network integration runtime feature in Azure Data Factory to access the on-premises network without installing and configuring a self-hosted integration runtime.

For more information about the network security mechanisms and options supported by Data Factory, see Data access strategies.

If you use Self-hosted Integration Runtime, note it provides a built-in Teradata driver starting from version 3.18. You don't need to manually install any driver. The driver requires "Visual C++ Redistributable 2012 Update 4" on the self-hosted integration runtime machine. If you don't yet have it installed, download it from here.

Getting started

To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs:

Create a linked service to Teradata using UI

Use the following steps to create a linked service to Teradata in the Azure portal UI.

Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New:
- Azure Data Factory
- Azure Synapse
Search for Teradata and select the Teradata connector.
Configure the service details, test the connection, and create the new linked service.

Connector configuration details

The following sections provide details about properties that are used to define Data Factory entities specific to the Teradata connector.

Linked service properties

The Teradata linked service supports the following properties:

Property	Description	Required
type	The type property must be set to Teradata.	Yes
connectionString	Specifies the information needed to connect to the Teradata instance. Refer to the following samples. You can also put a password in Azure Key Vault, and pull the `password` configuration out of the connection string. Refer to Store credentials in Azure Key Vault with more details.	Yes
username	Specify a user name to connect to Teradata. Applies when you are using Windows authentication.	No
password	Specify a password for the user account you specified for the user name. You can also choose to reference a secret stored in Azure Key Vault. Applies when you are using Windows authentication, or referencing a password in Key Vault for basic authentication.	No
connectVia	The Integration Runtime to be used to connect to the data store. Learn more from Prerequisites section. If not specified, it uses the default Azure Integration Runtime.	No

More connection properties you can set in connection string per your case:

Property	Description	Default value
TdmstPortNumber	The number of the port used to access Teradata database. Do not change this value unless instructed to do so by Technical Support.	1025
UseDataEncryption	Specifies whether to encrypt all communication with the Teradata database. Allowed values are 0 or 1. - 0 (disabled, default): Encrypts authentication information only. - 1 (enabled): Encrypts all data that is passed between the driver and the database.	`0`
CharacterSet	The character set to use for the session. E.g., `CharacterSet=UTF16`. This value can be a user-defined character set, or one of the following pre-defined character sets: - ASCII - UTF8 - UTF16 - LATIN1252_0A - LATIN9_0A - LATIN1_0A - Shift-JIS (Windows, DOS compatible, KANJISJIS_0S) - EUC (Unix compatible, KANJIEC_0U) - IBM Mainframe (KANJIEBCDIC5035_0I) - KANJI932_1S0 - BIG5 (TCHBIG5_1R0) - GB (SCHGB2312_1T0) - SCHINESE936_6R0 - TCHINESE950_8R0 - NetworkKorean (HANGULKSC5601_2R4) - HANGUL949_7R0 - ARABIC1256_6A0 - CYRILLIC1251_2A0 - HEBREW1255_5A0 - LATIN1250_1A0 - LATIN1254_7A0 - LATIN1258_8A0 - THAI874_4A0	`ASCII`
MaxRespSize	The maximum size of the response buffer for SQL requests, in kilobytes (KBs). E.g., `MaxRespSize=‭10485760‬`. For Teradata Database version 16.00 or later, the maximum value is 7361536. For connections that use earlier versions, the maximum value is 1048576.	`65536`
MechanismName	To use the LDAP protocol to authenticate the connection, specify `MechanismName=LDAP`.	N/A

Example using basic authentication

{
    "name": "TeradataLinkedService",
    "properties": {
        "type": "Teradata",
        "typeProperties": {
            "connectionString": "DBCName=<server>;Uid=<username>;Pwd=<password>"
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Example using Windows authentication

{
    "name": "TeradataLinkedService",
    "properties": {
        "type": "Teradata",
        "typeProperties": {
            "connectionString": "DBCName=<server>",
            "username": "<username>",
            "password": "<password>"
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Example using LDAP authentication

{
    "name": "TeradataLinkedService",
    "properties": {
        "type": "Teradata",
        "typeProperties": {
            "connectionString": "DBCName=<server>;MechanismName=LDAP;Uid=<username>;Pwd=<password>"
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Note

The following payload is still supported. Going forward, however, you should use the new one.

Previous payload:

{
    "name": "TeradataLinkedService",
    "properties": {
        "type": "Teradata",
        "typeProperties": {
            "server": "<server>",
            "authenticationType": "<Basic/Windows>",
            "username": "<username>",
            "password": {
                "type": "SecureString",
                "value": "<password>"
            }
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Dataset properties

This section provides a list of properties supported by the Teradata dataset. For a full list of sections and properties available for defining datasets, see Datasets.

To copy data from Teradata, the following properties are supported:

Property	Description	Required
type	The type property of the dataset must be set to `TeradataTable`.	Yes
database	The name of the Teradata instance.	No (if "query" in activity source is specified)
table	The name of the table in the Teradata instance.	No (if "query" in activity source is specified)

Example:

{
    "name": "TeradataDataset",
    "properties": {
        "type": "TeradataTable",
        "typeProperties": {},
        "schema": [],        
        "linkedServiceName": {
            "referenceName": "<Teradata linked service name>",
            "type": "LinkedServiceReference"
        }
    }
}

Note

RelationalTable type dataset is still supported. However, we recommend that you use the new dataset.

Previous payload:

{
    "name": "TeradataDataset",
    "properties": {
        "type": "RelationalTable",
        "linkedServiceName": {
            "referenceName": "<Teradata linked service name>",
            "type": "LinkedServiceReference"
        },
        "typeProperties": {}
    }
}

Copy activity properties

This section provides a list of properties supported by Teradata source. For a full list of sections and properties available for defining activities, see Pipelines.

Teradata as source

Tip

To load data from Teradata efficiently by using data partitioning, learn more from Parallel copy from Teradata section.

To copy data from Teradata, the following properties are supported in the copy activity source section:

Property	Description	Required
type	The type property of the copy activity source must be set to `TeradataSource`.	Yes
query	Use the custom SQL query to read data. An example is `"SELECT * FROM MyTable"`. When you enable partitioned load, you need to hook any corresponding built-in partition parameters in your query. For examples, see the Parallel copy from Teradata section.	No (if table in dataset is specified)
partitionOptions	Specifies the data partitioning options used to load data from Teradata. Allow values are: None (default), Hash and DynamicRange. When a partition option is enabled (that is, not `None`), the degree of parallelism to concurrently load data from Teradata is controlled by the `parallelCopies` setting on the copy activity.	No
partitionSettings	Specify the group of the settings for data partitioning. Apply when partition option isn't `None`.	No
partitionColumnName	Specify the name of the source column that will be used by range partition or Hash partition for parallel copy. If not specified, the primary index of the table is autodetected and used as the partition column. Apply when the partition option is `Hash` or `DynamicRange`. If you use a query to retrieve the source data, hook `?AdfHashPartitionCondition` or `?AdfRangePartitionColumnName` in WHERE clause. See example in Parallel copy from Teradata section.	No
partitionUpperBound	The maximum value of the partition column to copy data out. Apply when partition option is `DynamicRange`. If you use query to retrieve source data, hook `?AdfRangePartitionUpbound` in the WHERE clause. For an example, see the Parallel copy from Teradata section.	No
partitionLowerBound	The minimum value of the partition column to copy data out. Apply when the partition option is `DynamicRange`. If you use a query to retrieve the source data, hook `?AdfRangePartitionLowbound` in the WHERE clause. For an example, see the Parallel copy from Teradata section.	No

Note

RelationalSource type copy source is still supported, but it doesn't support the new built-in parallel load from Teradata (partition options). However, we recommend that you use the new dataset.

Example: copy data by using a basic query without partition

"activities":[
    {
        "name": "CopyFromTeradata",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<Teradata input dataset name>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<output dataset name>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "TeradataSource",
                "query": "SELECT * FROM MyTable"
            },
            "sink": {
                "type": "<sink type>"
            }
        }
    }
]

Parallel copy from Teradata

The Teradata connector provides built-in data partitioning to copy data from Teradata in parallel. You can find data partitioning options on the Source table of the copy activity.

Screenshot of partition options

When you enable partitioned copy, the service runs parallel queries against your Teradata 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 Teradata.

You are suggested to enable parallel copy with data partitioning especially when you load large amount of data from your Teradata. 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.

Scenario	Suggested settings
Full load from large table.	Partition option: Hash. During execution, the service automatically detects the primary index column, applies a hash against it, and copies data by partitions.
Load large amount of data by using a custom query.	Partition option: Hash. Query: `SELECT * FROM <TABLENAME> WHERE ?AdfHashPartitionCondition AND <your_additional_where_clause>`. Partition column: Specify the column used for apply hash partition. If not specified, the service automatically detects the PK column of the table you specified in the Teradata dataset. During execution, the service replaces `?AdfHashPartitionCondition` with the hash partition logic, and sends to Teradata.
Load large amount of data by using a custom query, having an integer column with evenly distributed value for range partitioning.	Partition options: Dynamic range partition. Query: `SELECT * FROM <TABLENAME> WHERE ?AdfRangePartitionColumnName <= ?AdfRangePartitionUpbound AND ?AdfRangePartitionColumnName >= ?AdfRangePartitionLowbound AND <your_additional_where_clause>`. Partition column: Specify the column used to partition data. You can partition against the column with integer data type. Partition upper bound and partition lower bound: Specify if you want to filter against the partition column to retrieve data only between the lower and upper range. During execution, the service replaces `?AdfRangePartitionColumnName`, `?AdfRangePartitionUpbound`, and `?AdfRangePartitionLowbound` with the actual column name and value ranges for each partition, and sends to Teradata. For example, if your partition column "ID" set with the lower bound as 1 and the upper bound as 80, with parallel copy set as 4, the service retrieves data by 4 partitions. Their IDs are between [1,20], [21, 40], [41, 60], and [61, 80], respectively.

Example: query with hash partition

"source": {
    "type": "TeradataSource",
    "query": "SELECT * FROM <TABLENAME> WHERE ?AdfHashPartitionCondition AND <your_additional_where_clause>",
    "partitionOption": "Hash",
    "partitionSettings": {
        "partitionColumnName": "<hash_partition_column_name>"
    }
}

Example: query with dynamic range partition

"source": {
    "type": "TeradataSource",
    "query": "SELECT * FROM <TABLENAME> WHERE ?AdfRangePartitionColumnName <= ?AdfRangePartitionUpbound AND ?AdfRangePartitionColumnName >= ?AdfRangePartitionLowbound AND <your_additional_where_clause>",
    "partitionOption": "DynamicRange",
    "partitionSettings": {
        "partitionColumnName": "<dynamic_range_partition_column_name>",
        "partitionUpperBound": "<upper_value_of_partition_column>",
        "partitionLowerBound": "<lower_value_of_partition_column>"
    }
}

Data type mapping for Teradata

When you copy data from Teradata, the following mappings apply from Teradata's data types to the internal data types used by the service. To learn about how the copy activity maps the source schema and data type to the sink, see Schema and data type mappings.

Teradata data type	Interim service data type
BigInt	Int64
Blob	Byte[]
Byte	Byte[]
ByteInt	Int16
Char	String
Clob	String
Date	DateTime
Decimal	Decimal
Double	Double
Graphic	Not supported. Apply explicit cast in source query.
Integer	Int32
Interval Day	Not supported. Apply explicit cast in source query.
Interval Day To Hour	Not supported. Apply explicit cast in source query.
Interval Day To Minute	Not supported. Apply explicit cast in source query.
Interval Day To Second	Not supported. Apply explicit cast in source query.
Interval Hour	Not supported. Apply explicit cast in source query.
Interval Hour To Minute	Not supported. Apply explicit cast in source query.
Interval Hour To Second	Not supported. Apply explicit cast in source query.
Interval Minute	Not supported. Apply explicit cast in source query.
Interval Minute To Second	Not supported. Apply explicit cast in source query.
Interval Month	Not supported. Apply explicit cast in source query.
Interval Second	Not supported. Apply explicit cast in source query.
Interval Year	Not supported. Apply explicit cast in source query.
Interval Year To Month	Not supported. Apply explicit cast in source query.
Number	Double
Period (Date)	Not supported. Apply explicit cast in source query.
Period (Time)	Not supported. Apply explicit cast in source query.
Period (Time With Time Zone)	Not supported. Apply explicit cast in source query.
Period (Timestamp)	Not supported. Apply explicit cast in source query.
Period (Timestamp With Time Zone)	Not supported. Apply explicit cast in source query.
SmallInt	Int16
Time	TimeSpan
Time With Time Zone	TimeSpan
Timestamp	DateTime
Timestamp With Time Zone	DateTime
VarByte	Byte[]
VarChar	String
VarGraphic	Not supported. Apply explicit cast in source query.
Xml	Not supported. Apply explicit cast in source query.

Lookup activity properties

To learn details about the properties, check Lookup activity.

For a list of data stores supported as sources and sinks by the copy activity, see Supported data stores.

Del via

Copy data from Teradata Vantage using Azure Data Factory and Synapse Analytics

Supported capabilities

Prerequisites

Getting started

Create a linked service to Teradata using UI

Connector configuration details

Linked service properties

Dataset properties

Copy activity properties

Teradata as source

Parallel copy from Teradata

Data type mapping for Teradata

Lookup activity properties

Tilbakemeldinger

Flere ressurser

Del via

Copy data from Teradata Vantage using Azure Data Factory and Synapse Analytics

Supported capabilities

Prerequisites

Getting started

Create a linked service to Teradata using UI

Connector configuration details

Linked service properties

Dataset properties

Copy activity properties

Teradata as source

Parallel copy from Teradata

Data type mapping for Teradata

Lookup activity properties

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Flere ressurser