Jira Connector for Informatica

In this article you will learn how to integrate Jira data in Informatica without coding in just a few clicks (live / bi-directional connection to Jira). Jira Connector can be used to integrate Jira and your defined data source, e.g. Microsoft SQL, Oracle, Excel, Power BI, etc. Get, write, delete Issues, Users, Worklogs, Comments just in a few clicks!.

Using Jira Connector you will be able to connect, read, and write data from within Informatica. Follow the steps below to see how we would accomplish that.

Download Documentation

The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc.

If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started.

Connect to Jira in other apps

Connect to Jira in SSIS

Connect to Jira in SQL Server

Connect to Jira in Power BI

Connect to Jira in SSRS

Connect to Jira in MS Access

Connect to Jira in MS Excel

Connect to Jira in SSAS

Connect to Jira in C#

Connect to Jira in Python

Connect to Jira in JAVA

Connect to Jira in Tableau

Connect to Jira in SAP Crystal Reports

Connect to Jira in Azure Data Factory (Pipeline)

Connect to Jira in Azure Data Factory (SSIS)

Connect to Jira in Talend Studio

Connect to Jira in UiPath

Connect to Jira in PowerShell

Connect to Jira in ODBC

NOTE: If you need to consume API which is not listed on connector library page then please refer to the below article links. It talks about how to read / write pretty much any API and not just Jira API. It explains various API tips / tricks using our other Universal Drivers not mentioned in this article (i.e. ZappySys JSON / XML and CSV Drivers).
How to read API data in Informatica (Call JSON / XML SOAP Service)
How to write data to API (POST) in Informatica (Call JSON / XML SOAP Service)

Introduction

JSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access Jira data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate Jira / XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.

After going through this article you will learn how to Read Jira / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate Jira or REST API integration in Informatica PowerCenter.

XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica, Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)

Requirements

This article assumes that you have full filled following basic requirements.

Download Install ZappySys ODBC PowerPack (API Driver for Jira included)
Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.

High level Steps for Import Jira data using Informatica (Read Jira API data)

Before we dive deep to learn how to load Jira data in Informatica (i.e. Jira to SQL Table), Here the summary of high-level steps you need to perform to import Jira in Informatica (same steps for Import JSON / XML / REST API).

Download and Install ZappySys API Driver (for connecting to Jira)
Create ODBC DSN using ZappySys API driver and choose Jira Connector during Wizard
Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
Import Jira Source Definition in the Informatica Mapping Designer > Sources Tab
Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
Create source to target mapping in Mappings tab
Save mapping (name m_API_to_SQL_Load )
Create Session using the mapping we created in the previous step
Save Workflow and execute to load Jira data into SQL Table. Verify your data and log.
Loading Jira data to SQL Table in Informatica (Import REST API or JSON Files)

Video Tutorial – Read any API / JSON data in Informatica (Load Jira to SQL Table)

Below video is not about Jira API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.

Watch this video on YouTube

Getting Started – Import Jira to SQL Server in Informatica

Now let’s get started. For example purpose, we will read data from Jira and load data into SQL Server Table using Informatica Workflow.

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Jira using Informatica we first need to create a DSN (Data Source) which will access data from Jira. We will later be able to read data using Informatica. Perform these steps:

Install ZappySys ODBC PowerPack.
Open ODBC Data Sources (x64):
Create a User Data Source (User DSN) based on ZappySys API Driver

ZappySys API Driver

You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.
When the Configuration window appears give your data source a name if you haven't done that already, then select "Jira" from the list of Popular Connectors. If "Jira" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

JiraDSN

Jira

Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

API Key based Authentication [Http]

Steps to get Jira Credentials
Firstly, login into your Atlassian account and then go to your Jira profile:

Go to Profile > Security.
Click Create and manage API tokens.
Then click Create API token button and give your token a label.
When window appears with new API token, copy and use it in this connection manager.
That's it!

Fill in all required parameters and set optional parameters if needed:

JiraDSN

Jira

API Key based Authentication [Http]

https://[$Subdomain$].atlassian.net/rest/api/3

Required Parameters
Subdomain	Fill in the parameter...
Atlassian User Name (email)	Fill in the parameter...
API Key	Fill in the parameter...
Optional Parameters
CustomColumnsRegex	Fill in the parameter...

OAuth based Authentication [OAuth]

OAuth App must be created in Atlassian Developer Console. It is found at https://developer.atlassian.com/console/myapps/ [API Help..]

Steps to get Jira Credentials
Firstly, login into your Atlassian account and then create Jira application:

Go to Atlassian Developer area.
Click Create app and select OAuth 2.0 (3LO) integration app to create an OAuth app.
Give your app a name, accept the terms and hit Create.
Then hit App details panel and copy paste Client ID and Secret into the API Connection Manager configuration grid into the proper places.
Then go back and click Permissions panel to enable permissions/scopes for your application. You can enable them all.
Go back again to application settings and click Authorization panel.
Click Configure button and in Callback URL enter your own Callback URL or simply enter https://zappysys.com/oauth if you don't have one.
Use this same Callback URL (Return URL) in a API Connection Manager configuration grid.
In API Connection Manager enter one or more of these scopes (read more about available scopes) into Scopes property:
1. offline_access (a must)
2. read:jira-user
3. read:jira-work
4. write:jira-work
5. manage:jira-project
6. manage:jira-configuration
Also configure your company's Subdomain in the properties grid.
Click Generate Token to generate tokens.
That's it!

Fill in all required parameters and set optional parameters if needed:

JiraDSN

Jira

OAuth based Authentication [OAuth]

https://[$Subdomain$].atlassian.net/rest/api/3

Required Parameters
ClientId	Fill in the parameter...
ClientSecret	Fill in the parameter...
Scope	Fill in the parameter...
ReturnUrl	Fill in the parameter...
Organization Id (Select after clicking [Generate Token])	Fill in the parameter...
Optional Parameters
Custom Columns for output (Select after clicking [Generate Token])	Fill in the parameter...

Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
Click OK to finish creating the data source.

Video instructions

Watch this video on YouTube

Create Connection in Informatica Workflow Designer

Once you create DSN using API Driver our next step is to define a connection for Jira source in Informatica PowerCenter Workflow designer.

Open Workflow designer [W] icon
Goto Connections > Relational

Create a new connection for Jira in Informatica
Click New and select ODBC

Select ODBC connection type in Informatica (Using ZappySys API ODBC DSN)
Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)

Configure Jira connection in Informatica for REST API – Using ZappySys API Driver
Click OK to close the connection properties.

That’s it. Now we ready to move to next step (define source and target in Mapping Designer).

Import Jira Source Definition in Informatica Mapping Designer

Now let’s look at steps to import Jira table definition.

Open Informatica Mapping Designer (Click [D] icon)
Click on Source Icon to switch to Sources designer
From the top menu > Click on Sources > Import from Database …

Import Jira Source definition in Informatica Mapping Designer (JSON file or REST API)
Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.

DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
—————————————————-
Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file.

Select Jira Source Table in Informatica Mapping Designer (JSON file or REST API)
Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
Optionally once table structure is imported you can rename it

Rename imported table definition in Informatica Source Designer
That’s it, we are now ready to perform similar steps to import Target table structure in the next section.

Import SQL Server Target Definition in Informatica Mapping Designer

Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).

Now lets look at steps to import target table definition in Informatica mapping designer.

In the Mapping Designer, Click on Target Icon to switch to Target designer
From the top menu > Click on Targets > Import from Database …
Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).

Import target Table Definition in informatica
Enter your userid , password and Schema name and click Connect to see tables
Select Table name to and click OK import definition.

Import Target SQL Table Definition in Informatica – Select table from the list

Create Source to Target Mapping in Informatica (Import JSON to SQL Server)

Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.

First open Mapping Designer (Click [D] icon)
Drag JSON Source from sources folder
Drag SQL Table from Targets folder
Map desired columns from Source to target

Define Source to Target mapping for Jira to SQL Table load in Informatica
For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
```
TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM')

 --For ISO use below way
                TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS')
```
Informatica Jira to SQL Table Mapping – Datatype conversion (nstring to datetime)
Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
Now lets move to next section to create workflow.

Create Workflow and Session in Informatica

Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.

Open workflow designer by click [W] icon.
Launch new workflow creation wizard by click Workflow top menu > Wizard
name your workflow (e.g. wf_Api_Tp_Sql_Table_Import)

Creating Informatica Workflow – Wizard UI (Import Jira data to SQL Table)
Finish the wizard and double-click the Session to edit some default properties.
First change Error settings so we fail session on error (By default its always green)

Fail Informatica Session on error (Jira data to SQL Load)
Select JSON connection for Source

Select Jira Source Connection in Informatica – Load Jira data to SQL Table
Change default Source query if needed. You can pass parameters to this query to make it dynamic.

Modify Jira Source SQL query – Pass parameters, change URL, set filter etc
Select Target connection of SQL Target Table

Select SQL Target Connection in Informatica – Load Jira data to SQL Table
Save workflow
That’s it. We ready to run our first workflow to load JSON data to SQL.

Execute Workflow and Validate Log in Informatica

Now once you are done with your workflow, execute it to see the log.

Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

Loading Jira data to SQL Table in Informatica (Import REST API or JSON Files)

POST data to Jira in Informatica

There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article.

Video Tutorial – How to POST data to REST API in Informatica

Here is detailed step by step video on REST API POST in informatica PowerCenter

Watch this video on YouTube

Keywords

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
Enter the desired Procedure name and click on OK:
Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
```
CREATE PROCEDURE [usp_get_orders]
    @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
 AS
    SELECT * FROM Orders where OrderDate >= '<@fromdate>';
```
That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
```
Exec usp_get_orders '1996-01-01';
```
Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
```
SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')
```
Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

Go to Custom Objects Tab and Click on Add button and Select Add Table:
Enter the desired Table name and click on OK:
And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
```
SELECT
  "ShipCountry",
  "OrderID",
  "CustomerID",
  "EmployeeID",
  "OrderDate",
  "RequiredDate",
  "ShippedDate",
  "ShipVia",
  "Freight",
  "ShipName",
  "ShipAddress",
  "ShipCity",
  "ShipRegion",
  "ShipPostalCode"
FROM "Orders"
Where "ShipCountry"='USA'
```
That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
```
SELECT * FROM "vt__usa_orders_only"
```
Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
```
SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')
```
Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.

Actions supported by Jira Connector

Jira Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.

Read Resources

[Read more...]

Read Fields

[Read more...]

Parameter	Description

Read Custom Fields

[Read more...]

Parameter	Description
CustomColumnsRegex	Enter regular expression for custom columns which you like to output. Use Pipe to type keys (internal names for columns). You can use Regex too (e.g. field_100\d+ )

Read Issue Types

[Read more...]

Read Users

[Read more...]

Parameter	Description

Create User

[Read more...]

Delete User

[Read more...]

Parameter	Description
AccountId

Read Projects

[Read more...]

Create Project

[Read more...]

Upsert Project

[Read more...]

Parameter	Description
ProjectIdOrKey

Delete Project

[Read more...]

Parameter	Description
ProjectIdOrKey	Project ID or Key, uniquely representing a project
EnableUndo

Read Issues

[Read more...]

Create Issues

[Read more...]

Update Issue

[Read more...]

Parameter	Description
IssueIdOrKey	Enter Issue ID or Key
NotifyUsers	Whether a notification email about the issue update is sent to all watchers. Possible values: true, false
OverrideScreenSecurity	Whether screen security should be overridden to enable hidden fields to be edited. Possible values: true, false
OverrideEditableFlag	Whether screen security should be overridden to enable uneditable fields to be edited. Possible values: true, false

Delete Issue

[Read more...]

Parameter	Description
IssueIdOrKey	Enter Issue ID or Key

Read Worklogs

[Read more...]

Create Worklog

[Read more...]

Update Worklog

[Read more...]

Parameter	Description
IssueIdOrKey
WorklogId

Delete Worklog

[Read more...]

Parameter	Description
IssueIdOrKey
WorklogId

Read Comments

[Read more...]

Read Changelogs

Returns a paginated list of all changelogs for an issue sorted by date, starting from the oldest. OAuth scopes required: read:issue-meta:jira, read:avatar:jira, read:issue.changelog:jira [Read more...]

Parameter	Description
IssueId Or Key

Read Changelog Details

Returns a paginated list of all changelogs and fields updated for an issue sorted by date, starting from the oldest. OAuth scopes required: read:issue-meta:jira, read:avatar:jira, read:issue.changelog:jira [Read more...]

Parameter	Description
IssueId Or Key

Read Changelogs by IDs

Returns changelogs for an issue specified by a list of changelog IDs. OAuth scopes required: read:issue-meta:jira, read:avatar:jira, read:issue.changelog:jira [Read more...]

Parameter	Description
IssueId Or Key
Comma Separated ChangeLog Ids

Read Get custom field contexts Details

Returns a paginated list list of contexts for a custom field. OAuth scopes required: read:field:jira, read:custom-field-contextual-configuration:jira [Read more...]

Parameter	Description
FieldId

Read Get custom field contexts Details

Returns a paginated list of all custom field option for a context. Options are returned first then cascading options, in the order they display in Jira. OAuth scopes required: read:field.option:jira [Read more...]

Parameter	Description
FieldId
ContextId

Generic Request

This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL. [Read more...]

Parameter	Description
Url	API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body	Request Body content goes here
IsMultiPart	Set this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter	Enter filter to extract array from response. Example: $.rows[] --OR-- $.customers[].orders[*]. Check your response document and find out hierarchy you like to extract
Headers	Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Jira Connector Examples for Informatica Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

List fields [Read more...]

Lists all fields that are used and available in issue entity

SELECT * FROM Fields

List projects [Read more...]

Lists all available projects

SELECT * FROM Projects

INSERT Project [Read more...]

Inserts a single project

INSERT INTO Projects(ProjectKey, Name, ProjectTypeKey, LeadAccountId, AssigneeType)
VALUES ('TEST', 'Test Project', 'software', '70122:XXXXXXXX-XXXX-XXXX-XXXX-c5da8c98b9e2', 'PROJECT_LEAD)
WITH (Output=1)')

UPDATE Project [Read more...]

Updates a single project

UPDATE Projects
SET Name = 'My Test Kanban Project'
   ,ProjectCategoryId = 1
WITH (ProjectIdOrKey = 'MYPRJCT', Output=1)

DELETE Project [Read more...]

Deletes a single project

DELETE FROM Projects
WITH (ProjectIdOrKey = '10020', Output=1)

List users [Read more...]

Lists all available users

SELECT * FROM Users

INSERT User [Read more...]

Inserts a single user

INSERT INTO Users(EmailAddress, DisplayName, Name, Password)
VALUES ('my@user.com', 'John Doe', 'John', 'xhedkspstdadaothoua')
WITH (OUTPUT=1)

DELETE User [Read more...]

Deletes a single user

DELETE FROM Users
WITH (OUTPUT=1, accountId = ''547059:136095a0-XXXX-XXXX-XXXX-3e4c66f26551'')

List issues [Read more...]

Lists all available issues across all projects

SELECT * FROM Issues

INSERT Issue [Read more...]

Inserts a single issue to a particular project

INSERT INTO Issues(ProjectKey, IssueTypeName, Summary, Description)
VALUES('SMP', 'Task', 'My ticket inserted through the API', 'A description about an issue')
WITH (OUTPUT=1)

UPDATE Issue [Read more...]

Updates an issue

UPDATE Issues
SET Summary = 'This is my summary'
   ,Description = 'Lot''s of stuff to describe'
   ,Labels = '[ "bugfix" ]'
   ,DueDate = '2029-10-10'
WITH (IssueIdOrKey='ISSKEY', OUTPUT=1)'

DELETE Issue [Read more...]

Deletes a single issue

DELETE FROM Issues
WITH (IssueIdOrKey='10020', OUTPUT=1)

List worklogs [Read more...]

Lists all worklogs from all issues

SELECT * FROM Worklogs

INSERT Worklog [Read more...]

Inserts a single worklog to a particular issue

INSERT INTO Worklogs(TimeSpentInSeconds, Comment, StartedAt)
      VALUES(7200,'My Comment!','2020-02-23T16:20:30.123+0000')
      WITH (IssueIdOrKey='ISSKEY-1', OUTPUT=1)

UPDATE Worklog [Read more...]

Updates a worklog

UPDATE Worklogs
SET TimeSpentInSeconds = 28800
   ,Comment='My Comment!'
   ,StartedAt='2020-01-23T16:20:30.123+0000'
WITH (IssueIdOrKey='MTK-1', WorklogId='123465', OUTPUT=1)

DELETE Worklog [Read more...]

Deletes a single worklog of an issue

DELETE FROM Worklogs
WITH (IssueIdOrKey='10020', WorklogId='123465', OUTPUT=1)

Conclusion

In this article we discussed how to connect to Jira in Informatica and integrate data without any coding. Click here to Download Jira Connector for Informatica and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Jira Connector for Informatica Documentation

More integrations

Other application integration scenarios for Jira

SSIS

SQL Server

Power BI

SSRS

MS Access

MS Excel

SSAS

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

Other connectors for Informatica

Amazon Ads

Amazon MWS

Azure DevOps

Cosmos DB

DropBox

FastSpring

Google Drive

Hubspot

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

Nativo

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Stripe

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Build your own Custom API Connector

Download Jira Connector for Informatica Documentation

Common Searches:

How to connect Jira in Informatica?
How to get Jira data in Informatica?
How to read Jira data in Informatica?
How to load Jira data in Informatica?
How to import Jira data in Informatica?
How to pull Jira data in Informatica?
How to push data to Jira in Informatica?
How to write data to Jira in Informatica?
How to POST data to Jira in Informatica?
Call Jira API in Informatica
Consume Jira API in Informatica
Jira Informatica Automate
Jira Informatica Integration
Integration Jira in Informatica
Consume real-time Jira data in Informatica
Consume real-time Jira API data in Informatica
Jira ODBC Driver | ODBC Driver for Jira | ODBC Jira Driver | SSIS Jira Source | SSIS Jira Destination
Connect Jira in Informatica
Load Jira in Informatica
Load Jira data in Informatica
Read Jira data in Informatica
Jira API Call in Informatica