Azure Blob XML File Connector for InformaticaIn this article you will learn how to quickly and efficiently integrate Azure Blob XML File data in Informatica without coding. We will use high-performance Azure Blob XML File Connector to easily connect to Azure Blob XML File and then access the data inside Informatica. Azure Blob XML File Connector can be used to read XML Files stored in Azure Blob Container. Using this you can easily integrate Azure Blob Storage XML File data. It's supports latest security standards, and optimized for large data files. It also supports reading compressed files (e.g. GZip /Zip). Let's follow the steps below to see how we can accomplish that! Azure Blob XML File Connector for Informatica is based on ZappySys Azure Blob XML 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 Azure Blob XML File in other apps
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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 Azure Blob XML File 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 Azure Blob XML File / 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 Azure Blob XML File / 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 Azure Blob XML File 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 Azure Blob XML File 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 Azure Blob XML File data using Informatica (Read Azure Blob XML File API data)
Before we dive deep to learn how to load Azure Blob XML File data in Informatica (i.e. Azure Blob XML File to SQL Table), Here the summary of high-level steps you need to perform to import Azure Blob XML File in Informatica (same steps for Import JSON / XML / REST API).
- Download and Install ZappySys API Driver (for connecting to Azure Blob XML File)
- Create ODBC DSN using ZappySys API driver and choose Azure Blob XML File Connector during Wizard
- Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
- Import Azure Blob XML File 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 Azure Blob XML File data into SQL Table. Verify your data and log.
Video Tutorial – Read any API / JSON data in Informatica (Load Azure Blob XML File to SQL Table)
Below video is not about Azure Blob XML File 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.
Getting Started – Import Azure Blob XML File to SQL Server in Informatica
Now let’s get started. For example purpose, we will read data from Azure Blob XML File and load data into SQL Server Table using Informatica Workflow.
Create ODBC Data Source (DSN) based on ZappySys Azure Blob XML Driver
Step-by-step instructions
To get data from Azure Blob XML File using Informatica we first need to create a DSN (Data Source) which will access data from Azure Blob XML File. We will later be able to read data using Informatica. Perform these steps:
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Install ZappySys ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User data source (User DSN) based on ZappySys Azure Blob XML Driver
ZappySys Azure Blob XML 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.
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Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
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Create and configure a connection for the Azure Blob storage account.
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You can use select your desired single file by clicking [...] path button.
mybucket/dbo.tblNames.xmldbo.tblNames.xml
----------OR----------You can also read the multiple files stored in Azure Blob Storage using wildcard pattern supported e.g. dbo.tblNames*.xml.
Note: If you want to operation with multiple files then use wild card pattern as below (when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash) mybucket/dbo.tblNames.xml (will read only single .XML file) mybucket/dbo.tbl*.xml (all files starting with file name) mybucket/*.xml (all files with .xml Extension and located under folder subfolder)
mybucket/dbo.tblNames*.xml
----------OR----------You can also read the zip and gzip compressed files also without extracting it in using Azure Blob XML Source File Task.
mybucket/dbo.tblNames*.gz -
Now select/enter Path expression in Path textbox to extract only specific part of XML string as below ($.value[*] will get content of value attribute from XML document. Value attribute is array of XML documents so we have to use [*] to indicate we want all records of that array)
NOTE: Here, We are using our desired filter, but you need to select your desired filter based on your requirement.Go to Preview Tab. -
Navigate to the Preview Tab and let's explore the different modes available to access the data.
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--- Using Direct Query ---
Click on Preview Tab, Select Table from Tables Dropdown and select [value] and click Preview.
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--- Using Stored Procedure ---
Note : For this you have to Save ODBC Driver configuration and then again reopen to configure same driver. For more information click here.Click on the Custom Objects Tab, Click on Add button and select Add Procedure and Enter an appropriate name and Click on OK button to create.
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--- Without Parameters ---
Now Stored Procedure can be created with or without parameters (see example below). If you use parameters then Set default value otherwise it may fail to compilation)
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--- With Parameters ---
Note : Here you can use Placeholder with Paramters in Stored Procedure. Example : SELECT * FROM $ WHERE OrderID = '<@OrderID, FUN_TRIM>' or CustId = '<@CustId>' and Total >= '<@Total>'
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--- Using Virtual Table ---
Note : For this you have to Save ODBC Driver configuration and then again reopen to configure same driver. For more information click here.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.
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 Buckets with slight variations you can create virtual tables with just URL as Parameter setting).
vt__Customers DataPath=mybucket_1/customers.xml vt__Orders DataPath=mybucket_2/orders.xml vt__Products DataPath=mybucket_3/products.xml
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Click on the Custom Objects Tab, Click on Add button and select Add Table and Enter an appropriate name and Click on OK button to create.
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Once you see Query Builder Window on screen Configure it.
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Click on Preview Tab, Select Virtual Table(prefix with vt__) from Tables Dropdown or write SQL query with Virtual Table name and click Preview.
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Click on the Custom Objects Tab, Click on Add button and select Add Table and Enter an appropriate name and Click on OK button to create.
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Click OK to finish creating the data source
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That's it; we are done. In a few clicks we configured the to Read the Azure Blob XML File data using ZappySys Azure Blob XML File Connector
Create Connection in Informatica Workflow Designer
Once you create DSN using API Driver our next step is to define a connection for Azure Blob XML File source in Informatica PowerCenter Workflow designer.
- Open Workflow designer [W] icon
- Goto Connections > Relational
- Click New and select ODBC
- Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
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In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
Configure Azure Blob XML File 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 Azure Blob XML File Source Definition in Informatica Mapping Designer
Now let’s look at steps to import Azure Blob XML File 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 …
- Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
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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 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
- 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).
- Enter your userid , password and Schema name and click Connect to see tables
- Select Table name to and click OK import definition.
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
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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')
- 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.
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Launch new workflow creation wizard by click Workflow top menu > Wizard
name your workflow (e.g. wf_Api_Tp_Sql_Table_Import) - 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)
- Select JSON connection for Source
- Change default Source query if needed. You can pass parameters to this query to make it dynamic.
- Select Target connection of SQL Target 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.
POST data to Azure Blob XML File 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
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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
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Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
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Enter the desired Procedure name and click on OK:
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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>';
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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';
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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_AZURE_BLOB_XML_FILE_IN_DATA_GATEWAY], 'EXEC usp_get_orders @fromdate=''1996-07-30''')
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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.
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Go to Custom Objects Tab and Click on Add button and Select Add Table:
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Enter the desired Table name and click on OK:
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And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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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'
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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"
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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_AZURE_BLOB_XML_FILE_IN_DATA_GATEWAY], 'EXEC [usp_get_orders] ''1996-01-01''')
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Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
Conclusion
In this article we showed you how to connect to Azure Blob XML File in Informatica and integrate data without any coding, saving you time and effort. We encourage you to download Azure Blob XML File Connector for Informatica 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 Azure Blob XML File Connector for Informatica Documentation
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