Jira Connector for SQL Server 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! In this article you will learn how to quickly and efficiently integrate Jira data in SQL Server without coding. We will use high-performance Jira Connector to easily connect to Jira and then access the data inside SQL Server. Let's follow the steps below to see how we can accomplish that! Download Documentation Jira Connector for SQL Server is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Jira in other apps Connect to Jira in SSIS Connect to Jira in Power BI Connect to Jira in SSRS Connect to Jira in Informatica 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

Video Tutorial - Integrate Jira data in SQL Server

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

• How to download and install the required PowerPack for Jira integration in SQL Server
• How to configure the connection for Jira
• Features of the ZappySys API Driver (Authentication / Query Language / Examples / Driver UI)
• How to use the Jira in SQL Server

Create Data Source in ZappySys Data Gateway based on API Driver

1. Download and install ODBC PowerPack.

2. Search for gateway in start menu and Open ZappySys Data Gateway:
   

3. Go to Users Tab to add our first Gateway user. Click Add; we will give it a name tdsuser and enter password you like to give. Check Admin option and click OK to save. We will use these details later when we create linked server:
   

4. Now we are ready to add a data source. Click Add, give data source a name (Copy this name somewhere, we will need it later) and then select Native - ZappySys API Driver. Finally, click OK. And it will create the Data Set for it and open the ZS driver UI.

   JiraDSN

   
   

5. 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

   

6. 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 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

   

    Personal Access Token (PAT) Authentication [Http]

   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

   

    OAuth (**Must change API Base URL to V3 OAuth**) [OAuth]

   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:

      

   3. Give your app a name, accept the terms and hit Create:

      

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

      

   5. Continue by hitting Edit Scopes button to assign scopes for the application:

      

   6. Select these scopes or all of them:

      

   7. Then click Authorization option on the left and click Add button:

      

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

      

   9. Then hit Settings option and copy Client ID and Secret into your favorite text editor (we will need them in the next step):

      

   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])

   

7. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   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

   

8. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in SQL Server to retrieve data from Jira. Hit OK button to use this query in the next step.

   SELECT * FROM Issues

   
   Some parameters configured in this window will be passed to the Jira API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

9. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in SQL Server:

   

   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

   SELECT * FROM Issues

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Jira API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Jira servers).

10. Click OK to finish creating the data source.

Read data in SQL Server using ZappySys Data Gateway

To read the data in SQL Server, the first thing you have to do is create a Linked Server:

1. First, let's open SQL Server Management Studio, create a new Linked Server, and start configuring it:

   LS_TO_JIRA_IN_GATEWAY

   Microsoft OLE DB Driver for SQL Server

   localhost,5000

   JiraDSN

   JiraDSN

   
   Choose SQL Server Native Client 11.0 as Provider if you don't see the option shown above.

2. Then click on Security option and configure username we created in ZappySys Data Gateway in one of the previous steps:

   

3. Optional step. Under the Server Options, Enable RPC and RPC Out and Disable Promotion of Distributed Transactions(MSDTC).

   

   You need to enable RPC Out if you plan to use EXEC(...) AT [LS_TO_JIRA_IN_GATEWAY] rather than OPENQUERY.
   If don't enabled it, you will encounter the Server 'LS_TO_JIRA_IN_GATEWAY' is not configured for RPC error.

   Query Example:

   EXEC('SELECT * FROM Issues') AT [LS_TO_JIRA_IN_GATEWAY]

   ---

   If you plan to use 'INSERT INTO <TABLE> EXEC(...) AT [LS_TO_JIRA_IN_GATEWAY]' in that case you need to Disable Promotion of Distributed Transactions(MSDTC).
   If don't disabled it, you will encounter the The operation could not be performed because OLE DB provider "SQLNCLI11" for linked server "MY_LINKED_SERVER_NAME" was unable to begin a distributed transaction. error.

   Query Example:

   INSERT INTO dbo.Products
   EXEC('SELECT * FROM Issues') AT [LS_TO_JIRA_IN_GATEWAY]
   

4. Finally, open a new query and execute a query we saved in one of the previous steps:
   

   SELECT * FROM OPENQUERY([LS_TO_JIRA_IN_GATEWAY], 'SELECT * FROM Issues')

   

   SELECT * FROM OPENQUERY([LS_TO_JIRA_IN_GATEWAY], 'SELECT * FROM Issues')

Create Linked Server using Code

USE [master]
GO
--///////////////////////////////////////////////////////////////////////////////////////
--Run below code in SSMS to create Linked Server and use ZappySys Drivers in SQL Server
--///////////////////////////////////////////////////////////////////////////////////////

-- Replace YOUR_GATEWAY_USER, YOUR_GATEWAY_PASSWORD
-- Replace localhost with IP/Machine name if ZappySys Gateway Running on different machine other than SQL Server
-- Replace Port 5000 if you configured gateway on a different port


--1. Configure your gateway service as per this article https://zappysys.com/links?id=10036

--2. Make sure you have SQL Server Installed. You can download FREE SQL Server Express Edition from here if you dont want to buy Paid version https://www.microsoft.com/en-us/sql-server/sql-server-editions-express

--Uncomment below if you like to drop linked server if it already exists
--EXEC master.dbo.sp_dropserver @server=N'LS_TO_JIRA_IN_GATEWAY', @droplogins='droplogins'

--3. Create new linked server

EXEC master.dbo.sp_addlinkedserver
    @server = N'LS_TO_JIRA_IN_GATEWAY'  --Linked server name (this will be used in OPENQUERY sql
, @srvproduct=N''
---- For MSSQL 2012,2014,2016 and 2019 use below (SQL Server Native Client 11.0)---
, @provider=N'SQLNCLI11'
---- For MSSQL 2022 or higher use below (Microsoft OLE DB Driver for SQL Server)---
--, @provider=N'MSOLEDBSQL'
, @datasrc=N'localhost,5000' --//Machine / Port where Gateway service is running
, @provstr=N'Network Library=DBMSSOCN;'
, @catalog=N'JiraDSN' --Data source name you gave on Gateway service settings

--4. Attach gateway login with linked server

EXEC master.dbo.sp_addlinkedsrvlogin
@rmtsrvname=N'LS_TO_JIRA_IN_GATEWAY'  --linked server name
, @useself=N'False'
, @locallogin=NULL
, @rmtuser=N'YOUR_GATEWAY_USER' --enter your Gateway user name
, @rmtpassword='YOUR_GATEWAY_PASSWORD'  --enter your Gateway user's password
GO

--5. Enable RPC OUT (This is Optional - Only needed if you plan to use EXEC(...) AT YourLinkedServerName rather than OPENQUERY
EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'rpc', true;
EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'rpc out', true;

--Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'remote proc transaction promotion', false;

--Increase query timeout if query is going to take longer than 10 mins (Default timeout is 600 seconds)
--EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'query timeout', 1200;
GO

Firewall settings

So far we have assumed that Gateway is running on the same machine as SQL Server. However there will be a case when ZappySys ODBC PowerPack is installed on a different machine than SQL Server. In such case you may have to perform additional Firewall configurations. On most computers firewall settings wont allow outside traffic to ZappySys Data Gateway. In such case perform following steps to allow other machines to connect to Gateway.

If you are using newer version of ZappySys Data Gateway then adding firewall rule is just a single click.

1. Search for gateway in start menu and open ZappySys Data Gateway.
2. Go to Firewall Tab and click Add Firewall Rule button like below. This will create Firewall rule to all Inbound Traffic on Port 5000 (Unless you changed it).

1. Search for Windows Firewall Advanced Security in start menu.
2. Under Inbound Rules > Right click and click [New Rule] >> Click Next
3. Select Port on Rule Type >> Click Next
4. Click on TCP and enter port number under specified local port as 5000 (use different one if you changed Default port) >> Click Next
5. Select Profile (i.e. Private, Public) >> Click Next
6. Enter Rule name [i.e. ZappySys Data Gateway – Allow Inbound ] >> Click Next
7. Click OK to save the rule

OPENQUERY vs EXEC (handling larger SQL text)

So far we have seen examples of using OPENQUERY. It allows us to send pass-through query at remote server. The biggest limitation of OPENQUERY is it doesn't allow you to use variables inside SQL so often we have to use unpleasant looking dynamic SQL (Lots of tick, tick …. and escape hell). Well there is good news. With SQL 2005 and later you can use EXEC(your_sql) AT your_linked_server syntax . Disadvantage of EXEC AT is you cannot do SELECT INTO like OPENQUERY. Also you cannot perform JOIN like below in EXEC AT

SELECT a.*
FROM OPENQUERY([LS_TO_JIRA_IN_GATEWAY],'SELECT * FROM Customers') AS A
JOIN OPENQUERY([LS_TO_JIRA_IN_GATEWAY],'SELECT * FROM Orders') AS B 
    ON A.CustomerId = B.CustomerId;

USE [master]
GO
--Replace YOUR_GATEWAY_USER, YOUR_GATEWAY_PASSWORD
--Replace localhost with IP/Machine name if ZappySys Gateway Running on different machine other than SQL Server

--Create new linked server
EXEC master.dbo.sp_addlinkedserver
@server = N'LS_TO_JIRA_IN_GATEWAY'  --Linked server name (this will be used in OPENQUERY sql)
, @srvproduct=N''
---- For MSSQL 2012,2014,2016 and 2019 use below (SQL Server Native Client 11.0)---
, @provider=N'SQLNCLI11'
---- For MSSQL 2022 or higher use below (Microsoft OLE DB Driver for SQL Server)---
--, @provider=N'MSOLEDBSQL'
, @datasrc=N'localhost,5000' --//Machine / Port where Gateway service is running
, @provstr=N'Network Library=DBMSSOCN;'
, @catalog=N'JiraDSN' --Data source name you gave on Gateway service settings

--Attach gateway login with linked server
EXEC master.dbo.sp_addlinkedsrvlogin
@rmtsrvname=N'LS_TO_JIRA_IN_GATEWAY'  --linked server name
, @useself=N'False'
, @locallogin=NULL
, @rmtuser=N'YOUR_GATEWAY_USER' --enter your Gateway user name
, @rmtpassword='YOUR_GATEWAY_PASSWORD'  --enter your Gateway user's password
GO

--5. Enable RPC OUT (This is Optional - Only needed if you plan to use EXEC(...) AT YourLinkedServerName rather than OPENQUERY
EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'rpc', true;
EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'rpc out', true;
--Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'remote proc transaction promotion', false;
--Increase query timeout if query is going to take longer than 10 mins (Default timeout is 600 seconds)
--EXEC sp_serveroption 'LS_TO_JIRA_IN_GATEWAY', 'query timeout', 1200;
GO

Fetching Tables / Columns using metadata stored procs

EXEC [LS_TO_JIRA_IN_GATEWAY].[JiraDSN].[DATA].sp_tables

EXEC [LS_TO_JIRA_IN_GATEWAY].[JiraDSN].[DATA].sp_columns_90 N'your-table-name'

-- List all tables
EXEC [LS_TO_JIRA_IN_GATEWAY].[JiraDSN].[DATA].sp_tables

-- List all columns and its type for specified table
EXEC [LS_TO_JIRA_IN_GATEWAY].[JiraDSN].[DATA].sp_columns_90 N'Account'

Known Issues

Let's explore some common problems that can occur when using OPENQUERY or Data Gateway connectivity.

SQL Native Client 11.0 not visible in the Providers dropdown (Linked Server Creation)

If you are following some screenshots / steps from our article it might say use SQL Native Client to create Linked Server to ZappySys Gateway but for some users they dont see that driver entry in the dropdown. This is due to the fact that Microsoft has deprecated SQL Native Client OLEDB Driver (SQLNCLI and SQLNCLI11) going forward after SQL 2022. So you need to use [Microsoft OLE DB Driver for SQL Server] instead (MSOLEDBSQL). Please follow all other instructions except the driver type selection, use new suggested driver instead if you dont see SQL Native Client.

Error: The data is invalid

There will be a time when, you may encounter unexpected errors like the ones listed below. These can include:

OLE DB provider "SQLNCLI11" for linked server "Zs_Csv" returned message "Deferred prepare could not be completed.".
OLE DB provider "SQLNCLI11" for linked server "Zs_Csv" returned message "Communication link failure".
Msg 13, Level 16, State 1, Line 0

Session Provider: The data is invalid.

There are few reasons for such error but below are two main reasons

• If the query length exceeds 2000 characters, as shown below, you might encounter this error.

  SELECT * FROM OPENQUERY(LS, '--some really long text more than 2000 chars--')

• If a query contains multiple OPENQUERY statements for JOINs or UNIONs, as shown below, it might fail due to a MARS compatibility issue where the gateway doesn't support parallel queries on a single connection.

  SELECT a.id, b.name from OPENQUERY(LS, 'select * from tbl1') a join OPENQUERY(LS, 'select * from tbl2') b on a.id=b.id

There are few ways to fix above error based on reason why you getting this error (i.e. Query Length issue OR JOIN/UNION in the same statement)

• If your query has long SQL (more than 2000 chars ) then reduce SQL length using different techniques
  • e.g. use SELECT * FROM MyTable rather than SELECT col1,col2… FROM MyTable
  • Use Meta Option in WITH clause if you must use column name. (e.g. SELECT * FROM MyTable WITH(META=’c:\meta.txt’) this way you can define column in Meta file rather than SELECT query. Check this article
  • Consider using EXECT (….) AT [Linked_Server_name] option rather than OPENQUERY so you can use very long SQL (See next section on EXEC..AT usecase)
  • Consider using Virtual Table / Stored Proc to wrap long SQL so your call is very small (where usp_GetOrdersByYear is custom proc created on ZappySys Driver UI)
    

    SELECT * FROM OPENQUERY(LS, 'EXEC usp_GetOrdersByYear 2021')

• If your query uses JOIN  / UNION with multiple OPENQUERY in same SQL then use multiple Linked servers (one for each OPENQUERY clause) as below.
  

  select a.id, b.name from OPENQUERY(LS_1, 'select * from tbl1') a join OPENQUERY(LS_2, 'select * from tbl2') b on a.id=b.id

Error: Unable to begin a distributed transaction (When INSERT + EXEC used)

If you try to use the EXEC statement to insert data into a table, as shown below, you might encounter the following error unless the MSDTC option is turned off.

INSERT INTO MyTable EXEC('select * from tbl') AT MyLinkedServer

"Protocol error in TDS stream"
The operation could not be performed because OLE DB provider "SQLNCLI11" for linked server "ls_Json2" was unable to begin a distributed transaction.
--OR--
The operation could not be performed because OLE DB provider "MSOLEDBSQL" for linked server "ls_Json" was unable to begin a distributed transaction.

Solution:
Method-1: Go to linked server properties | Server Options | Enable Promotion of Distributed Transaction | Change to false (Default is true)
Now your try your INSERT with EXEC AT and it should work

Method-2: Run the below command if you dont want to use UI

EXEC master.dbo.sp_serveroption @server=N'My_Linked_Server', @optname=N'remote proc transaction promotion', @optvalue=N'false'

Error: Cannot use OPENQUERY with JOIN / UNION

When you perform a JOIN or UNION ALL on the same Linked Server, it may fail to process sometimes because the Data Gateway doesn't support parallel query requests on the same connection. A workaround for that would be to create multiple linked servers for the same data source. Refer to the section above for the same workaround.

Error: Truncation errors due to data length mismatch

Many times, you may encounter truncation errors if a table column's length is less than the actual column size from the query column. To solve this issue, use the new version of Data Gateway and check the 'Use nvarchar(max) for string options' option found on the General Tab.

Performance Tips

Now, let's look at a few performance tips in this section.

Use INSERT INTO rather than SELECT INTO to avoid extra META request

We discussed some Pros and Cons of OPENQUERY vs EXEC (…) AT in previous section. One obvious advantage of EXEC (….) AT is it reduces number of requests to driver (It sends pass through query). With EXEC you cannot load data dynamically like SELECT INTO tmp FROM OPENQUERY. Table must exist before hand if you use EXEC.

INSERT INTO tmp_API_Report_Load(col1,col2)
EXEC('select col1,col2 from some_api_table') AT [API-LINKED-SERVER]
--OR--
INSERT INTO tmp_API_Report_Load(col1,col2)
select col1,col2 from OPENQUERY([API-LINKED-SERVER], 'select col1,col2 from some_api_table')

The advantage of this method is that your query speed will increase because the system only calls the API once when you use EXEC AT. In contrast, with OPENROWSET, the query needs to be called twice: once to obtain metadata and once to retrieve the data.

Use Cached Metadata if possible

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:
   

2. Enter the desired Procedure name and click on OK:
   

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>';
   

   
   

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';

   
   

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([LS_TO_JIRA_IN_GATEWAY], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

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.
   

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:
   

2. Enter the desired Table name and click on OK:
   

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'

   
   

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"

   
   

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([LS_TO_JIRA_IN_GATEWAY], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

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.
   

Actions supported by Jira Connector

Jira Connector Examples for SQL Server 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.

SELECT * FROM Issues

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

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

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

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

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

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

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

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)

SELECT * FROM Comments

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

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

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

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

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

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

SELECT * FROM Fields

SELECT * FROM Projects

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

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

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 Projects
SET Name = 'My Test Kanban Project'
   ,ProjectCategoryId = 1
WITH (ProjectIdOrKey = 'MYPRJCT', Output=1, ContinueOn404Error=0)

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

SELECT * FROM Users

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

DELETE FROM Users
WITH (OUTPUT=1, accountId = '547059:136095a0-XXXX-XXXX-XXXX-3e4c66f26551', ContinueOn404Error=0)

SELECT * FROM Worklogs

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

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

--(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 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 SQL Server and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Jira, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Jira Connector for SQL Server 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 SQL Server Documentation

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