Jira Connector for Python

In this article you will learn how to quickly and efficiently integrate Jira data in Python. We will use high-performance Jira Connector to easily connect to Jira and then access the data inside Python.

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!

Let's follow the steps below to see how we can accomplish that!

Download Documentation

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

Step-by-step instructions

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

  1. Install ZappySys ODBC PowerPack.

  2. Open ODBC Data Sources (x64):

    Open ODBC Data Source
  3. Create a User data source (User DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
    • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
  4. 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
    ODBC DSN Template Selection

  5. 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.

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

    1. Go to Profile > Security.
    2. Click Create and manage API tokens.
    3. Then click Create API token button and give your token a label.
    4. When window appears with new API token, copy and use it in this connection manager.
    5. 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
    ODBC DSN HTTP Connection Configuration
    Steps how to get and use Jira credentials
    Follow official Atlassian instructions on how to create a PAT (Personal Access Token) for JIRA

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

    JiraDSN
    Jira
    Personal Access Token (PAT) Authentication [Http]
    https://[$Subdomain$].atlassian.net/rest/api/3
    Required Parameters
    Subdomain Fill-in the parameter...
    Token (PAT Bearer Token) Fill-in the parameter...
    Optional Parameters
    CustomColumnsRegex
    ODBC DSN HTTP Connection Configuration

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

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

    1. Go to Atlassian Developer area.
    2. Click Create and select OAuth 2.0 integration item to create an OAuth app:

      Create OAuth integration app in Atlassian
    3. Give your app a name, accept the terms and hit Create:

      Name OAuth app in Atlassian
    4. To enable permissions/scopes for your application, click Permissions tab, then hit Add button, and click Configure button, once it appears:

      Enable scopes in OAuth app in Atlassian
    5. Continue by hitting Edit Scopes button to assign scopes for the application:

      Edit scopes in OAuth app in Atlassian
    6. Select these scopes or all of them:

      Add Jira scopes in OAuth app in Atlassian
    7. Then click Authorization option on the left and click Add button:

      Add authorization in OAuth app in Atlassian
    8. Enter your own Callback URL (Redirect URL) or simply enter https://zappysys.com/oauth, if you don't have one:

      Set callback URL for OAuth app in Atlassian
    9. Then hit Settings option and copy Client ID and Secret into your favorite text editor (we will need them in the next step):

      Get Jira data via REST API and OAuth
    10. Now go to SSIS package or ODBC data source and in OAuth authentication set these parameters:

      • For ClientId parameter use Client ID value from the previous steps.
      • For ClientSecret parameter use Secret value from the previous steps.
      • For Scope parameter use the Scopes you set previously (specify them all here):
        • offline_access (a must)
        • read:jira-user
        • read:jira-work
        • write:jira-work
        • manage:jira-project
        • manage:jira-configuration
        NOTE: A full list of available scopes is available in Atlassian documentation.
      • For Subdomain parameter use your Atlassian subdomain value (e.g. mycompany, if full host name is mycompany.atlassian.net).
    11. Click Generate Token to generate tokens.
    12. Finally, select Organization Id from the drop down.
    13. That's it! You can now use Jira Connector!

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

    JiraDSN
    Jira
    OAuth (**Must change API Base URL to V3 OAuth**) [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])
    ODBC DSN Oauth Connection Configuration

  6. 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:
    ODBC ZappySys Data Source Preview

  7. Click OK to finish creating the data source.

Video instructions

Read data in Python

Using ODBC DSN

  1. Python code to get the data:

    JiraDSN')
    Python code to get the data from ZappySys DSN

  2. When you run the code it will make the API call and read the data:
    Python - Extracted data from ZappySys DSN

  3. Here is Python program's code in text format:

    
        import pyodbc
        conn = pyodbc.connect('DSN=JiraDSN')
    
        cursor = conn.cursor()
    
        #execute query to fetch data from API service
        cursor.execute("SELECT id,title FROM products")
    
        row = cursor.fetchone()
        while row:
            print(row)
            row = cursor.fetchone()
    
        ##For loop example
        #for row in cursor:
        #    print(row)
    

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

  1. Open ODBC data source configuration and click Copy settings:
    ZappySys API Driver - 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!
    JiraDSN
    Copy connection string for ODBC application
  2. The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
  3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

    conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

You would need to install pyodbc in Python if you intend to establish connections to databases that support ODBC (Open Database Connectivity). This module facilitates communication between Python applications and various database management systems, enabling you to perform operations such as querying, retrieving data, and managing databases. Here's how you can install pyodbc in Python:

Installation Steps:

  1. Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.

  2. Open your terminal or command prompt.

  3. Use the following command to install pyodbc using pip, the Python package installer:

    python -m pip install "pyodbc"

    Make sure you have a stable internet connection and the necessary permissions to install Python packages.


    Python - pip install pyodbc

Reasons to Install:

  • If pyodbc is not installed, your Python script will generate the following error:
    "ModuleNotFoundError: No module named 'pyodbc'"
    .
  • Database Connectivity: pyodbc allows Python to connect to various databases that support ODBC, such as Microsoft SQL Server, PostgreSQL, MySQL, and more.

  • Data Operations: It facilitates the execution of SQL queries, retrieval of data, and other database operations from within Python scripts.

  • Cross-Platform Support: pyodbc is designed to work across different operating systems, including Windows, macOS, and various Linux distributions.

  • Simplicity and Efficiency: The module provides an intuitive interface for managing database transactions and connections, simplifying the process of working with databases in Python.

By installing pyodbc, you can seamlessly integrate your Python applications with a wide range of ODBC-supported databases, enabling efficient and effective data management and analysis.

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

  1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
    ZappySys Driver - Add Stored Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Stored Procedure Name

  3. 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>';
    

    ZappySys Driver - Create Custom Stored Procedure

  4. 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';

    ZappySys Driver - Execute Custom Stored Procedure

  5. 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([LINKED_SERVER_TO_JIRA_IN_DATA_GATEWAY], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

    ZappySys Driver - Generate SQL Server Query

  6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

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.

  1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

  4. 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'

    ZappySys Driver - Create Custom Table

  5. 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"

    ZappySys Driver - Execute Custom Virtual Table Query

  6. 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([LINKED_SERVER_TO_JIRA_IN_DATA_GATEWAY], 'EXEC [usp_get_orders] ''1996-01-01''')

    ZappySys Driver - Generate SQL Server Query

  7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

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 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 multiple column names (must use key - internal names for columns e.g. customfield_10004). You can use Regex too (e.g. field_100\d+ ). This filter is only applied for those fields which has flag custom=true.
 Read Issue Types
 Read Application Roles
 Read Groups
   [ Read more... ]
Parameter Description
Query
UserName
Exclude
 Read Users
 Create User
 Delete User
   [ Read more... ]
Parameter Description
AccountId
 Read Projects
   [ Read more... ]
Parameter Description
MaxResults
Option Value
50 50
100 100
10 10
2 2
 Create Project
 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
 Create Issues
 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
Option Value
true true
false false
OverrideScreenSecurity Whether screen security should be overridden to enable hidden fields to be edited. Possible values: true, false
Option Value
true true
false false
OverrideEditableFlag Whether screen security should be overridden to enable uneditable fields to be edited. Possible values: true, false
Option Value
true true
false false
 Delete Issue
   [ Read more... ]
Parameter Description
IssueIdOrKey Enter Issue ID or Key
 Read Worklogs
   [ Read more... ]
Parameter Description
Issue Key(s) or Ids - Comma Separated (PRJA-10,PRJA-13) Use comma separated IDs or Keys for Issues. 1000 ids max or JIRA internal limit for Payload.
 Create Worklog
 Update Worklog
   [ Read more... ]
Parameter Description
IssueIdOrKey
WorklogId
 Delete Worklog
   [ Read more... ]
Parameter Description
IssueIdOrKey
WorklogId
 Read Comments
   [ Read more... ]
Parameter Description
Issue Key(s) or Ids - Comma Separated (PRJA-10,PRJA-13) Use comma separated IDs or Keys for Issues. 1000 ids max or JIRA internal limit for Payload.
 Create Issue Comment
   [ Read more... ]
Parameter Description
IssueId Or Key
 Update Issue Comment
   [ Read more... ]
Parameter Description
IssueId Or Key
Comment Id
 Delete Issue Comment
   [ Read more... ]
Parameter Description
IssueId Or Key
Comment Id
 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
 Get custom field contexts
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
 Get custom field context options
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
Option Value
No filter
Example1 $.store.books[*]
Example2 (Sections Under Books) $.store.books[*].sections[*]
Example3 (Equals) $.store.books[?(@author=='sam')]
Example4 (Equals - Any Section) $..[?(@author=='sam')]
Example5 (Not Equals - Any Section) $..[?(@author!='sam')]
Example6 (Number less than) $.store.books[?(@.price<10)] Example7 (Regular Expression - Contains Pattern)=$.store.books[?(@author=~ /sam|bob/ )]
Example8 (Regular Expression - Does Not Contain Pattern) $.store.books[?(@author=~ /^((?!sam|bob).)*$/ )]
Example9 (Regular Expression - Exact Pattern Match) $.store.books[?(@author=~ /^sam|bob$/ )]
Example10 (Regular Expression - Starts With) $.store.books[?(@author=~ /^sam/ )]
Example11 (Regular Expression - Ends With) $.store.books[?(@author=~ /sam$/ )]
Example12 (Between) $.store.employees[?( @.hiredate>'2015-01-01' && @.hiredate<'2015-01-04' )]
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair
 Generic Request (Bulk Write)
This is a generic endpoint for bulk write purpose. 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
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 Python 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 issues    [ Read more... ]

Lists all issues

SELECT * FROM Issues

List a single issue by Id    [ Read more... ]

List a single issue by Key (e.g. CS-123) or Numeric Id (e.g. 10001).

SELECT * FROM Issues WITH(SearchBy='Key', Key='10001')

List a single issue by Id - Continue on a specific error message    [ Read more... ]

By default if issue is not found or search condition is bad you may get an error but you can continue by setting ContineOnErrorForMessage=1 and message you like to ignore in ErrorSubstringToMatch.

SELECT * FROM Issues WITH(SearchBy='Key', Key='10001', ContineOnErrorForMessage=1, ErrorSubstringToMatch='Issue does not exist')

List a single issue by Key    [ Read more... ]

List a single issue by Key (e.g. CS-123) or Numeric Id (e.g. 10001).

SELECT * FROM Issues WITH(SearchBy='Key', Key='CS-1')

List multiple issues by Id or Key    [ Read more... ]

List multiple issues by comma separated Key(s) or Numeric Id(s).

SELECT * FROM Issues WITH(SearchBy='Key', Key='CS-1, CS-2, 10003, 10004')

List all issues for a specific project    [ Read more... ]

List all issues for a specified project code.

SELECT * FROM Issues WITH(Project='CS')

Search issues using Advanced JQL query expression    [ Read more... ]

List issues using JQL query expression

SELECT * FROM Issues WITH (Jql='status IN (Done, Closed) AND created > -5d' )
/*
Useful links:
  https://support.atlassian.com/jira-work-management/docs/jql-fields/
  https://www.atlassian.com/software/jira/guides/jql/tutorials#advanced-search
  https://www.atlassian.com/blog/jira/jql-the-most-flexible-way-to-search-jira-14
  
Other Possible JQL expressions:

Ids (IN):       key IN(10001, 10002, 10003);
Keys (IN):       key IN(CS-1, CS-2, CS-3);
Projects (IN):       project IN(PROJ1, PROJ2, PROJ3);
Status (EQUAL):       status='Done';
Date (Expression 1):       created >=-5d;
Date (Expression 2):       created >=startOfMonth() AND created <=now();
Date (Expression 3):       created >=startOfYear() AND created <=startOfDay();
Date (Static):       created >= '2008/12/31';
Date (Static with time):       created >= '2008/12/31 23:59';
Project and Status (AND + IN):       project=CS AND status NOT IN ('Done', 'Open', 'Closed');
Assignee and Created Date:    assignee is NOT EMPTY and created < -1d;
Text (Contains - Fuzzy):       Summary ~ 'some words' OR description ~ 'some words';
Text (Contains - Fuzzy Wildcard):       Summary ~ 'some*' OR description ~ 'some*';
Text (Contains - Exact):       Summary ~ '\"exact words\"' OR description ~ '\"exact words\"';
Text (Does Not Contain - Fuzzy):       Summary !~ 'some words' OR description !~ 'some words';
Empty OR Null:   fixVersion is empty OR fixVersion is null;
Is Not Empty OR Is Not Null:    fixVersion is not empty OR fixVersion is not null;
WAS Operator (previous value):       status WAS "Resolved" BY (jsmith,srogen) BEFORE "2019/02/02";
WAS IN Operator:   status WAS IN ("Resolved", "In Progress");
WAS NOT IN Operator:    status WAS NOT IN ("Resolved", "In Progress");
WAS + BY + DURING (date range):       status WAS "Resolved" BY (jsmith,srogen) DURING("2019/02/02", "2020/02/02");
CHANGED operator:    assignee CHANGED;
CHANGED operator (multiple):       status CHANGED FROM "In Progress" TO "Open"

*/

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)

INSERT Multiple Issues (BULK Load from External System like Microsoft SQL Server / ODBC)    [ Read more... ]

Inserts multiple issues from an external source (e.g. Microsoft SQL Server or ODBC)

INSERT INTO Issues(ProjectKey, IssueTypeName, Summary, Description)
SOURCE('MSSQL' --OR ODBC
, 'Data Source=localhost;Initial Catalog=Northwind;Integrated Security=true'
--For ODBC
--, 'Dsn=MyOdbcDsn' 
--, 'Driver={My ODBC Driver Type}...' 
--Alias must match Supported Input Columns - Use Query Builder to find Input Column Names
,'select top 10 C_ProjKey as ProjectKey, C_Type as IssueTypeName, C_Summary as Summary, C_Desc as Description FROM Orders'

--Static value example
--,'select top 10 ''CS'' as ProjectKey, ''New Feature'' as IssueTypeName, ''Task created - <<FUN_SEQUENCE>>'' Summary, ''A description <<FUN_NOW>>'' Description FROM Orders'
)

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'
--WHERE Id=1234   
--WHERE Id='ISSKEY'   
WITH (
	IssueIdOrKey='ISSKEY', --or use Id in where clause 
	Output=1,
	NotifyUsers=0,
	OverrideScreenSecurity=0,
	OverrideEditableFlag=0,
	ContinueOn404Error=0
)'

UPDATE / Insert Issue with Custom Fields    [ Read more... ]

Updates or Insert an issue with custom fields of various types (dropdown, radio, textarea .. so on)

UPDATE Issues
SET customfield_10050='[{"value":"AAA"},{"value":"BBB"}]'	--CUSTOM Checkboxes field update (Must use Raw JSON)
,customfield_10051='2020-12-31'	--CUSTOM Date field update
,customfield_10052='2020-12-31T23:59:59'	--CUSTOM DateTime field update

--Custom Dropdown / Radio fields
,customfield_10048_value='BBB'	--CUSTOM Dropdown field update (Using value - i.e. item label)
--OR--
--,customfield_10048_id='10022'	--CUSTOM Dropdown field update (Using id - i.e. item id)
--OR--
--,customfield_10048='{"value":"BBB"}'	--CUSTOM Dropdown (Using Raw value)

,customfield_10053='["bugfix","test"]'	--CUSTOM Labels field update (Must use Raw JSON)
,customfield_10057='[{"value":"AAA"},{"value":"BBB"}]'	--CUSTOM Listbox Multiselect field update (Must use Raw JSON)
,customfield_10049=123455555.123	--CUSTOM Number field update
,customfield_10054_text='Long string...line-1 
	Long string... line-2 
	Long string... line-3'	--CUSTOM Paragraph field update

,customfield_10055_value='BBB'	--CUSTOM Radio field update by value
--OR--
--,customfield_10055_id='10023'	--CUSTOM Radio field update

,customfield_10058='https://zappysys.com'	--CUSTOM Url field update
,customfield_10059_accountId="5dd64082af96bc0efbe55103" --CUSTOM User field update (update by accountId)
--OR--
--,customfield_10059='{"accountId":"5dd64082af96bc0efbe55103","displayName":"System"}'	--CUSTOM User field update --accountId=5dd64082af96bc0efbe55103
,customfield_10060='Custom text single line'	--CUSTOM text single line field 
,customfield_10001='577069e1-1bcd-4b1e-9070-0b2475830d1c'	--CUSTOM Team field update (update by Team Id)
--WHERE Id=10000
WITH (
	IssueIdOrKey='ISSKEY', --or use Id in where clause 
	Output=1,
	NotifyUsers=0,
	OverrideScreenSecurity=0,
	OverrideEditableFlag=0,
	ContinueOn404Error=0
)

--For INSERT use same values with same fields like below. For Insert you do not have to specify Id or Key
--INSERT INTO Issues(ProjectKey, IssueTypeName, Summary, Description, customfield_10050,....., customfield_10060) 
--VALUES ('SMP', 'Task', 'My ticket inserted through the API', 'A description about an issue', '[{"value":"AAA"},{"value":"BBB"}]' ,... 'Custom text single line')

'

UPDATE multiple Issues matching with JQL search query    [ Read more... ]

Updates multiple issues which match with certain condition (JQL). Adding Where 1=1 or some other WHERE condition invokes Lookup endpoint (refer to other example to learn about JQL - see Search issues using Advanced JQL query expression)

UPDATE Issues
SET Summary = 'This is done on <<fun_now>>'
Where 1=1
WITH (jql='status=done' , ContinueOn404Error=0)
--WITH (jql='key in(10001, 10002, 10003)' , ContinueOn404Error=0)
--WITH (jql='key in(CS-1, CS-2, CS-3)', ContinueOn404Error=0)

DELETE Issue    [ Read more... ]

Deletes a single issue

DELETE FROM Issues
WITH (IssueIdOrKey='10020', OUTPUT=1, ContinueOn404Error=0)

DELETE multiple Issues matching with JQL search query    [ Read more... ]

Delete multiple issues which match with certain condition (JQL). Adding Where 1=1 or some other WHERE condition invokes Lookup endpoint (refer to other example to learn about JQL - see Search issues using Advanced JQL query expression)

DELETE FROM Issues
Where 1=1
WITH (jql='status=done' , ContinueOn404Error=0)
--WITH (jql='key in(10001, 10002, 10003)' , ContinueOn404Error=0)
--WITH (jql='key in(CS-1, CS-2, CS-3)', ContinueOn404Error=0)

List comments for all issues    [ Read more... ]

List comments for all issues

SELECT * FROM Comments

List comments for a specific issue Issue Key or Id    [ Read more... ]

List comments for a specific issue

SELECT * FROM Comments Where IssueId=10003 --OR WITH(Key='10003')

List comments for a specific issue by Key    [ Read more... ]

List comments for a specific issue by key

SELECT * FROM Comments WITH(Key='CS-1')

List comments for issues (search by JQL)    [ Read more... ]

List all comments for issues returned from a JQL search expression (refer to previous example to learn about JQL - see Search issues using Advanced JQL query expression)

SELECT * FROM Comments WITH (Jql='status IN (Done, Closed) AND created > -5d' )

Create a new Issue Comment (Plain Text Body)    [ Read more... ]

This example creates a new plain text comment for a given Issue Id. You can use Issue Key or Id as an input value.

INSERT INTO Comments(IssueId,Body) VALUES('CS-2', 'Commented at <<FUN_NOW>>')

Create a new Issue Comment (Formatted Body)    [ Read more... ]

This example creates a new formatted text comment for a given Issue Id. You can use Issue Key or Id as an input value.

INSERT INTO Comments(IssueId,BodyFormatted) VALUES('CS-3', '{ "content": [
    { "content": [
        { "text": "This is a valid ADF formatted comment.",
          "type": "text" }
           ], 
           "type": "paragraph"
        }
       ], 
       "type": "doc", 
       "version": 1 
     } 
}')

Update an exising Comment (Plain Text Body)    [ Read more... ]

This example updates an exising comment for a given Issue Id and Comment Id. You can use Issue Key or Id as an input value.

UPDATE Comments
 SET Body='Updated at <<FUN_NOW>>'
WHERE Id=10004
WITH(IssueIdOrKey='CS-2')

Delete an exising Comment    [ Read more... ]

This example deletes an exising comment for a given Issue Id and Comment Id. You can use Issue Key or Id as an input value.

DELETE FROM Comments WHERE Id=10004 WITH(IssueIdOrKey='CS-2')

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

List worklog entries for a specific issue by Id or Key    [ Read more... ]

List all worklog entries for a specific issue

SELECT * FROM Worklogs Where IssueId=10003 --WITH(Key='10003')

List worklogs for issues (search by JQL)    [ Read more... ]

List all worklogs (time entries) for issues returned from a JQL search expression (refer to previous example to learn about JQL - see Search issues using Advanced JQL query expression)

SELECT * FROM Worklogs WITH (Jql='status IN (Done, Closed) AND created > -5d' )

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, ContinueOn404Error=0)

DELETE Project    [ Read more... ]

Deletes a single project

DELETE FROM Projects
WITH (ProjectIdOrKey = '10020', Output=1, ContinueOn404Error=0)

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', ContinueOn404Error=0)

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, ContinueOn404Error=0)

DELETE Worklog    [ Read more... ]

Deletes a single worklog of an issue

DELETE FROM Worklogs
WITH (IssueIdOrKey='10020', WorklogId='123465', OUTPUT=1, ContinueOn404Error=0)

Update Custom Option Field (Dropdown/Radio)    [ Read more... ]

This example shows how to update a custom field of an issue by Option Value or Id (Of option entry item)

--(By value)        
UPDATE Issues 
SET customfield_10048_value ='BBB' --supply value (label) of dropdown/radio
WITH (IssueIdOrKey='10020')

--OR-- (By item ID)

UPDATE Issues 
SET customfield_10048_id =10023 --supply id of dropdown/radio item
WITH (IssueIdOrKey='10020')

--OR-- (Raw id)

UPDATE Issues 
SET customfield_10048='{"id":"10023"}' --supply raw json
WITH (IssueIdOrKey='10020')

--OR--  (Raw value)
UPDATE Issues 
SET customfield_10048='{"value":"BBB"}' --supply raw json
WITH (IssueIdOrKey='10020')

--OR--  (set null)

UPDATE Issues 
SET customfield_10048 =null 
WITH (IssueIdOrKey='10020')

Update Custom Multi Select / User / Team fields (RAW Json Update)    [ Read more... ]

This example shows how to update a custom field of type array or other complex fiels like user

UPDATE Issues 
SET customfield_10048='[{"value":"AAA"}, {"value":"CCC"}]' --supply raw json
WITH (IssueIdOrKey='10020')

--OR-- 

UPDATE Issues 
SET customfield_10048 =null --set to null
WITH (IssueIdOrKey='10020')

Conclusion

In this article we showed you how to connect to Jira in Python and integrate data without any coding, saving you time and effort. We encourage you to download Jira Connector for Python and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Jira Connector for Python Documentation

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