Connectors → JIRA

About Jira

Modern teams plan, track, and manage their agile and software development projects with Jira Software. Jira belongs to a family of Atlassian products that help all types of teams manage their work.

About the Jira connector

The Jira connector uses the cdata.jdbc.jira.jar driver to connect to a Jira resource and get data.

Important

The Jira connector requires a JAR file that Incorta tests and verifies. The supported JAR download is only available from Incorta Support and must be purchased from Incorta. The Jira connector exposes various properties of the CDATA JDBC driver for Jira for an external data resource. For information about the CDATA JDBC driver for Jira, please check CData JDBC Driver for JIRA.

The Jira 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	✔

Note

The Jira connector supports two types of incremental loads, including support for using a numeric column. To learn more, see Types of Incremental Load.

The Jira Connector utilizes the CDATA JDBC driver for Jira. In order to query a Jira resource using a SQL SELECT statement, the driver supports the configuration of various JDBC connection properties, including OAuth authentication.

The Jira connector installation

The Jira connector requires the deployment of cdata.jdbc.jira.jar file to the Incorta Node hosts of the Analytics Service and the Loader Service. A system administrator with root access to the host can deploy the JAR file. A CMC Administrator can restart the Incorta cluster.

Here are the steps to copy the JAR file to standalone Incorta cluster:

Secure copy the cdata.jdbc.jira.jar file to the host. Here is an example using scp:

INCORTA_NODE_HOST=100.101.102.103
cd ~/Downloads
scp -i ~/.ssh/host_pemkey.pem  cdata.jdbc.jira.jar incorta@${INCORTA_NODE_HOST}:/tmp/

Secure shell into the host

ssh -i ~/.ssh/host_pemkey.pem incorta@${INCORTA_NODE_HOST}

Copy the cdata.jdbc.jira.jar to the IncortaNode/runtime/lib/ directory in bash shell

sudo incorta
INCORTA_INSTALLATION_PATH=/home/incorta/IncortaAnalytics/

cp /tmp/cdata.jdbc.jira.jar $INCORTA_INSTALLATION_PATH/IncortaNode/runtime/lib/cdata.jdbc.jira.jar

Here are the steps to restart the standalone Incorta cluster:

Sign in to the Cluster Management Console (CMC) as the CMC Administrator.
In the Navigation bar, select Clusters.
Select the cluster name in the list.
In Details, select Restart.

Steps to connect a Jira data source and Incorta

To connect a Jira data source and Incorta, 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

A Tenant Administrator (Super User), a user that belongs to a group with the SuperRole role, or a user that belongs to a group with the Schema Manager role can create an external data source for a given tenant.

Here are the steps to create an external data source with the Jira connector:

Sign in to the Incorta Direct Data Platform™.
In the Navigation bar, select Data.
In the Action bar, select + New → Add Data.
In the Choose a Data Source dialog, in Application, select Jira.
In the New Data Source dialog, specify the applicable connector properties.
To test, select Test Connection.
Select Ok to save your changes.

The Jira connector properties

Here are the properties for the Jira connector:

Property	Control	Description
Data Source Name	text box	Required. Enter the name of the data source.
URL	text box	Required. Enter the Uniform Resource Locator (URL) to your Jira Endpoint. For example, `https://<yourSiteName>.atlassian.net`.
User	text box	Required. Enter the Jira user account used to authenticate Incorta to access the Jira resources.
API Token	text box	Required. Enter the API Token of the currently authenticated user. For information about how to create an API Token, please refer to Manage API tokens for your Atlassian account.
Use Connection Pooling	toggle	Optional. Enable to set the related properties for connection pooling. For more information, please refer to Connection Pooling and Connection String Options.
Show Advanced Options	toggle	Optional. Enable to configure the advanced properties. For more information, please refer to Advanced Settings and Connection String Options.

Note

For a comprehensive reference for the connector properties, please refer to CData JDBC Driver for JIRA Documentation.

Create a schema with the Schema Wizard

Here are the steps to create a Jira 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 Jira 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 Jira 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 Jira.
In the Data Source dialog, specify the Jira 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.

The Jira table data source properties

For a schema table in Incorta, you can define the following Jira-specific data source properties as follows:

Property	Control	Description
Type	drop down list	Default is Jira
Data Source	drop down list	Select the Jira external data source
Incremental	toggle	Enable the incremental load configuration for the schema table. See Types of Incremental Load.
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 Load.
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.
Query	text box	Enter the SQL Select query to retrieve data from the Jira data set
Update Query	text box	Enable Incremental to configure this property. Enter the SQL Select 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)
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.
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, enabling 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 Jira 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 Jira 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 Jira schema.
In the Schema Designer, in the Action bar, select Load → Load Now → Full.
To review the load status, in Last Load Status, select the date.

Explore the schema

With the full load of the Jira 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 Jira 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 Load

You can enable Incremental Load for a Jira table data. There are two types of incremental extracts:

Last Successful Extract Time

Fetch updates since the last time the tables were loaded. This 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 Jira 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.

Note

Changing the incremental load strategy requires a full load to ensure data integrity.

Incremental Load Example

In this example, the Issues 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 Created 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 Issues

Update Query contains SELECT * FROM Issues WHERE Created > ?

Note

? is a variable in the update query that contains the last schema refresh date.

Incremental Field Type = Timestamp

Note

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.