DronaBlog

Saturday, April 11, 2020

Informatica Data Quality - IDQ - How to call Web Service in Java Transformation


In this article, we are going to understand step by step process to create Informatica Data Quality (IDQ) mapping to make external Web Service calls using Java transformation.


A. Overview of mapping

The mapping contains 5 major components. The first component is the source file. We can use a file or a database table as input this mapping which can hold basic information. The second component is an expression to convert input values to make them suitable for Java transformation. The third component is Java transformation which contains logic to make a call the web service. The next component is an output expression to transform the response from Java expression into output format. The last component is a target file or a database table to populate response.





B. Source Component

The source in the mapping can be a flat file or database table. It will contain the input required for Web Service. e.g. Web Service URL, Username, Password, Context etc.

Source File



C. Source Expression

The source expression will be used to convert input values into suitable Java transformation input. e.g. Join multiple sources attributes to create URL, prepare the web service endpoint URL, populate username and password, or any other custom processing etc.





D. Java Transformation

The Java transformation can be used to call external or internal Web Service. In this example, we are going to call external web service.

a) Import jar file

Import all the required files and store at local system or Unix box. The IDQ mapping should read access to these files so that those can be loaded in JVM. Once all the required jars are stored, set the classpath variable under the Advanced section and point it to each of the jar files.



b) Import classes

Import all the java classes which are required to call web service. Here is screenshot with sample java classes used during the Web Service call.



c)  Call Web Service

Once we have all the required information to call Web Service, write a logic to handle the business requirement. In the java logic below, we are calling web service two times. From the first web service call, we are getting the response and sending that response in second web service call and then we are getting the final output.



The sample code is here,

/**
* Author : Abc
* This Java code is used to get status of the the input task and wait until it become 'SUCCESS'

* Input Parameters:
* taskName - Input taskflow
* urlSubmit - Web service endpoint to get RunId for input taskflow
* urlGetStatus - Web service endpoint to get status using RunId
* loginUid - Userid for authentication
* loginPwd - Password for authentication
*/

       try {
       
        // Step 1: Get RunId using Web Service endpoint and task name
String url = "https://localhost:8080/TaskName";
// String url = urlSubmit + taskName;
        String name = "abcuser";
       // String name = loginUid;
       String password = "abcpassword;
       // String password = loginPwd;
        String authString = name + ":" + password;
        String authStringEnc = Base64.getEncoder().encodeToString(authString.getBytes());
        Client restClient = Client.create();
        WebResource webResource = restClient.resource(url);
        ClientResponse resp = webResource.accept("application/json").header("Authorization", "Basic " + authStringEnc).get(ClientResponse.class);       
        String stTaskIdMessage = resp.getEntity(String.class);
      
        // Step 2: Parse response to get RunId from Web Service for given task
        JSONParser jsonParser = new JSONParser();
        JSONObject jsonObj = (JSONObject) jsonParser.parse(stTaskIdMessage);
        String stRunId = (String) jsonObj.get("RunId");
        
        // Step 3: Call Web service endpoint to get status of input taskflow and check if it not in 'RUNNING' state. 
        // If it is in RUNNING stage, wait until the state changes.
        boolean isRunning = true;
        String stStatus = "";
        while (isRunning) {
          String url2 = "https://localhost:8080/task/status/"+stRunId;
             WebResource webResourceStatus = restClient.resource(url2);
             ClientResponse respStatus = webResourceStatus.accept("application/json").header("Authorization", "Basic " + authStringEnc).get(ClientResponse.class);
             String stStatusMessage = respStatus.getEntity(String.class);
             
             JSONObject jsonStatusObj = (JSONObject) jsonParser.parse(stStatusMessage);
             stStatus = (String) jsonStatusObj.get("status");
             if (!stStatus.contentEquals("RUNNING") ) {
              isRunning = false;
      } else {
      Thread.sleep(10000); // Value is in millisecond. Currently it is set for 10 seconds
      }

        runId = stRunId;
status = stStatus; // Return status to output field.
       }
catch (Exception e)  { // Required to handle exception which is thrown from JSON Parser.
e.printStackTrace();
}


d)  Call Web Service

The full source code can be accessed from Java -> Full code. This will give broader view of how the Java code executed at run time.



e) Compile code

Once the code completed then compile to code in order to generate .class files load in the memory. In order to compile the code user section - Advanced -> Properties -> Compilation


E. Output Expression

Create output expression to translate the output from Java transformation into the output file or database table.



F. Output Component

Create output file or database table in order to populate the final response output. The output can be used for business use purposes.









Wednesday, April 1, 2020

Top 5 indicators in the Informatica MDM

Are you looking for details about what are the different types of indicators used in the Informatica Master Data Management (MDM) system? Are you also interested in knowing what are the valid values for these indicators and what those values mean? If so, then you reached the right place. In this article, we will understand different indicators such as HUB_STATE_IND, CONSOLIDATION_IND, etc and their values in detail.

Indicators in the Informatica MDM:
Informatica MDM maintains several types of indicators and those are used during internal MDM processing. The indicators maintained in the MDM system are

1. HUB_STATE_IND
2. CONSOLIDATION_IND
3. DIRTY_IND
4. DELETED_IND
5. AUTOMERGE_IND






A)  HUB_STAE_IND indicator
This field present in BO, XREF tables. These indicator fields represent whether the record is in the active, deleted or pending state.
   
Value
Meaning
1
Active Record
0
Pending Record
-1
Inactive Record


B)   CONSOLIDATION_IND indicator

This filed present in the BO table. This indicator field represents whether the record is gone through the match process or not.

Value
Meaning
4
The new record (Unmerged record)
3
The record has gone through the match process and ready for consolidation
2
Queued for the Merge process
1
Consolidated or Golden record
9
The record is on hold. Normally data steward keep records on hold





C)  DIRTY_IND indicator

This field present in the BO table but it is no more in used. It was used for the tokenization process in the earlier release. But now instead of this field, <BO>_DRTY table is used for the tokenization process. Valid values are 1 and 0 for this field. 0 means record is ready for tokenization and 1 means record went through tokenization process.


D)   DELETED_IND indicator

This field present in BO and XREF Tables. It is reserved for future purposes.


E)   AUTOMERGE_IND indicator

This field present in MTCH and HMRG tables. The valid values are 0 and 1.

Value
Meaning
1
Records are queued for auto-merge
0
Records are queued for manual merge






What are differences between multimerge and merge API in Informatica MDM

                Are you interested in knowing what is the use of multimerge and merge APIs? Are you also would like to know the difference b...