Connectors → Microsoft SQL Server (jTDS)
About Microsoft SQL Server
Microsoft SQL Server is a relational database management system (RDMS). The primary function of Microsoft SQL Server, as a database server, is storing and retrieving data requested by other software applications. Similar to other common RDMSs, Microsoft SQL Server uses Transact Structured Query Language (T-SQL) statements to perform tasks such as inserting, updating, deleting, or retrieving data from a database.
Incorta can connect to a Microsoft SQL Server database using either the Microsoft JDBC driver or the jTDS JDBC driver for SQL Server. For more information about connecting to a Microsoft SQL Server database using the Microsoft JDBC driver, see Microsoft SQL Server Connector.
Microsoft SQL Server (jTDS) Connector Updates
This section is to explore the updates in the newer versions of the Microsoft SQL Server (jTDS) connector available on the Incorta connectors marketplace.
In order to get the newer version of the connector, please update the connector using the marketplace.
| Version | Updates |
|---|---|
| 2.2.0.2 | A new extra option, sql.chunks.limit, is now available to specify the maximum number of chunks that can be created by a data set when chunking is enabled. The default is 100, and the maximum is 300. If you specify a limit that exceeds 300, the connector resets it to 300. |
Keep your connector up-to-date with the latest connector version released to get all introduced fixes and enhancements.
About The Microsoft SQL Server (jTDS) Connector
When Incorta loads data from a SQL database using the SQL Server (jTDS) connector, it uses the jtds-1.3.1.jar driver.
The Microsoft SQL Server (jTDS) connector supports the following Incorta specific functionality:
| Feature | Supported |
|---|---|
| Chunking | ✔ |
| Data Agent | ✔ |
| Encryption at Ingest | |
| Incremental Load | ✔ |
| Multi-Source | ✔ |
| OAuth | |
| Performance Optimized | ✔ |
| Remote | |
| Single-Source | ✔ |
| Spark Extraction | |
| Webhook Callbacks | ✔ |
The Microsoft SQL Server (jTDS) Connector supports two types of incremental loads, including support for using a numeric column. To learn more, see Types of Incremental Loads.
Steps to connect Microsoft SQL Server (jTDS) and Incorta
To connect Microsoft SQL Server and Incorta using the jTDS JDBC driver, here are the high-level steps, tools, and procedures:
- Create an external data source
- Create a schema with the Schema Wizard
- or, Create a schema with the Schema Designer
- Load the schema
- Explore the schema
Create an external data source
Here are the steps to create an external data source with the SQL Server (jTDS) connector:
- Sign in to the Incorta Direct Data Platform™.
- In the Navigation bar, select Data.
- In the Action bar, select + New → Add Data Source.
- In the Choose a Data Source dialog, in Database, select SQL Server (jTDS).
- In the New Data Source dialog, specify the applicable connector properties.
- To test, select Test Connection.
- Select Ok to save your changes.
SQL Server jTDS connector properties
Here are the properties for the SQL Server (jTDS) connector:
| Property | Control | Description |
|---|---|---|
| Data Source Name | text box | Enter the name of the data source |
| Username | text box | Enter the username of user who can connect to the database. This can be a database user or an Active Directory user depending upon the selected Authentication Type: SQL Server Authentication or Windows Authentication, respectively. |
| Password | text box | Enter the user password |
| Authentication Type | drop down list | Select the authentication type for connecting to the SQL server. There are two options: ● SQL Server Authentication, which is the default option ● Windows Authentication |
| Connection Pool | text box | Enter the connection pool. The default is 30. |
| Connection String | text box | Enter the connection string for the SQL Server jTDS JDBC driver. The format is:jdbc:jtds:sqlserver://<HOST>:<PORT>/<DATABASE_NAME>;<PROPERTY>=<VALUE>;<PROPERTY>=<VALUE> The <HOST> is the host DNS name or IPv4 address. The <PORT> is the TCP port number. The default is 1433. The properties part in the connection string is optional. |
| Connection Properties | text box | Optional. Customized string input of key/value pair properties. See below for details on connection properties. |
| Extra Options | text box | Enter supported extra options in the form of key=value. |
| Use Data Agent | toggle | Enable using a data agent to securely ingest data from an external data source that is behind a firewall. For more information, please review Tools → Data Agent and Tools → Data Manager. |
| Data Agent | drop down list | Enable Use Data Agent to configure this property. Select from the data agents created in the tenant, if any. |
A data agent is a service that runs on a remote host. It is also a data agent object in the Data Manager for a given tenant. An authentication file shared between the data agent object and the data agent service enables an authorized connection without using a VPN or SSH tunnel. With a data agent, you can securely extract data from one or more databases behind a firewall to an Incorta cluster. Your Incorta cluster can reside on-premises or in the cloud.
You must have the Incorta cluster enabled and configured to support the use of Data Agents. To learn more, see Concepts → Data Agent and Tools → Data Agent.
Connection Properties
The connection properties, whether defined in the Connection String or the Connection Properties, allow for customized connection to your SQL Server database. The properties are accepted in a key=value format. The type of connector properties can range from username and password to SSL settings. The jtds-1.3.1.jar driver determines the available connection properties. For a list of connection properties available with Incorta and a SQL Server database through the jTDS JDBC driver, refer to jTDS Frequently Asked Questions.
If the SQL Server uses TLS/SSL encryption, you need to add the following connection property to the data source:
ssl=require
Create a schema with the Schema Wizard
Here are the steps to create a SQL Server (jTDS) schema with the Schema Wizard:
- Sign in to the Incorta Direct Data Platform™.
- In the Navigation bar, select Schema.
- In the Action bar, select + New → Schema Wizard.
- In (1) Choose a Source, specify the following:
- For Enter a name, enter the schema name.
- For Select a Datasource, select the SQL Server (jTDS) external data source.
- Optionally, enter a description.
- In the Schema Wizard footer, select Next.
- In (2) Manage Tables, in the Data Panel, first select the name of the Data Source, and then check the Select All checkbox.
- In the Schema Wizard footer, select Next.
- In (3) Finalize, in the Schema Wizard footer, select Create Schema.
Create a schema with the Schema Designer
Here are the steps to create a SQL Server (jTDS) schema using the Schema Designer:
- Sign in to the Incorta Direct Data Platform™.
- In the Navigation bar, select Schema.
- In the Action bar, select + New → Create Schema.
- In the Create Schema dialog, in Name, specify the schema name, and then select Save.
- In Start adding tables to your schema, select SQL Database.
- In the Data Source dialog, specify the SQL Server jTDS table data source properties.
- Select Add.
- In the Table Editor, in the Table Summary section, enter the table name.
- To save your changes, in the Action bar, select Done.
SQL Server jTDS table data source properties
For a schema table in Incorta, you can define the following SQL-Server-specific data source properties as follows:
| Property | Control | Description |
|---|---|---|
| Type | drop down list | Default is SQL Database |
| Data Source | drop down list | Select the SQL Server (jTDS) external data source |
| Incremental | toggle | Enable the incremental load configuration for the schema table. See Types of Incremental Loads. |
| Incremental Extract Using | drop down list | Enable Incremental to configure this property. Select between Last Successful Extract Time and Maximum Value of a Column. See Types of Incremental Loads. |
| Incremental Column | drop down list | Enable Incremental and select Maximum Value of a Column to configure this property. Select the column to be used for Maximum Value of a Column. The Loader will track and use the greatest value or most recent timestamp for each load operation. |
| Fetch Size | text box | For performance improvement, define the number of records that will be retrieved from the database in each batch until all records are retrieved. The default is 5000. |
| Query | text box | Enter the SQL query to retrieve data from the SQL database using the jTDS JDBC driver for SQL Server |
| Update Query | text box | Enable Incremental to configure this property. Define the SQL update query to use during an incremental load. The query and update query should be of the same structure, that is, the same selected columns. |
| Incremental Field Type | drop down list | Enable Incremental to configure this property. Select the format of the incremental field: ● Timestamp ● Unix Epoch (seconds) ● Unix Epoch (milliseconds) |
| Chunking Method | drop down list | Chunking methods allow for parallel extraction of large tables. The default is No Chunking. There are two chunking methods: ● By Size of Chunking (Single Table) ● By Date/Timestamp |
| Chunk Size | text box | Select By Size of Chunking for the Chunking Method to set this property. Enter the number of records to extract in each chunk in relation to the Fetch Size. The default is 3 times the Fetch Size. |
| Order Column | drop down list | Select By Size of Chunking for the Chunking Method to set this property. Select a column in the source table you want to order by before chunking. It's typically an ID column and it must be numeric. |
| Upper Bound for Order Column | text box | Optional. Enter the maximum value for the order column. |
| Lower Bound for Order Column | text box | Optional. Enter the minimum value for the order column. |
| Order Column [Date/Timestamp] | drop down list | Select By Date/Timestamp for the Chunking Method to set this property. Select a column in the source table you want to order by before chunking. It should be a Date/Timestamp column. |
| Chunk Period | drop down list | Select the chunk period that will be used in dividing chunks: ● Daily ● Weekly (default) ● Monthly ● Yearly ● Custom |
| Number of days | text box | Select Custom for the Chunk Period to set this property. Enter the chunking period in days |
| Callback | toggle | Enable post extraction callback, that is, enable callback on the data source data set(s) by invoking a certain callback URL with parameters containing details about the load job |
| Callback URL | text box | Enable Callback to configure this property. Specify the callback URL. |
View the schema diagram with the Schema Diagram Viewer
Here are the steps to view the schema diagram using the Schema Diagram Viewer:
- Sign in to the Incorta Direct Data Platform™.
- In the Navigation bar, select Schema.
- In the list of schemas, select the SQL Server (jTDS) schema.
- In the Schema Designer, in the Action bar, select Diagram.
Load the schema
Here are the steps to perform a Full Load of the SQL Server (jTDS) schema using the Schema Designer:
- Sign in to the Incorta Direct Data Platform™.
- In the Navigation bar, select Schema.
- In the list of schemas, select the SQL Server (jTDS) schema.
- In the Schema Designer, in the Action bar, select Load → Full Load.
- To review the load status, in Last Load Status, select the date.
Explore the schema
With the full load of the SQL Server (jTDS) schema complete, you can use the Analyzer to explore the schema, create your first insight, and save the insight to a new dashboard.
To open the Analyzer from the schema, follow these steps:
- In the Navigation bar, select Schema.
- In the Schema Manager, in the List view, select the SQL Server (jTDS) schema.
- In the Schema Designer, in the Action bar, select Explore Data.
For more information about how to use the Analyzer to create insights, see Analyzer and Visualizations.
Additional Considerations
Types of Incremental Loads
You can enable Incremental Load for a SQL Server (jTDS) data source. There are two types of incremental extracts:
Last Successful Extract Time
Fetch updates since the last time the tables were loaded. It is determined by the difference between the current time and the database timestamp.
Maximum Value of a Column
The column-based strategy depends on an extra column called Incremental Column in each table. The SQL Server (jTDS) connector supports both timestamp and numeric columns. A timestamp column is of the type date or timestamp. A numeric column is of the type int or long.
Changing the incremental load strategy requires a full load to ensure data integrity.
Incremental Load Example
In this example, the invoices table must contain a column of the type Date or Timestamp in order to load the table incrementally with a last successful extract time strategy. In this case, the name of the date column is ModifiedDate and the format of the column is Timestamp.
Here are the data source property values for this example:
Incremental is enabled
Query contains SELECT * FROM invoices
Update Query contains SELECT * FROM invoices WHERE ModifiedDate > ?
? is a variable in the update query that contains the last schema refresh date.
Incremental Field Type = Timestamp
If running an update query for an incremental load, you are able to use the ? reference character. The ? character will be replaced with the last incremental reference to construct a valid query to the database. The ? reference character is not valid in a standard query.
Valid Query Types
When creating a query for the SQL Server (jTDS) connector, only SELECT statements are valid.
Known Issues
If you are using Java 8 or OpenJDK 8 and you try to connect to a SQL Server that has SSL/TLS certificate installed, it will throw errors. Use Microsoft SQL Server connector instead.