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  1. DZone
  2. Data Engineering
  3. Data
  4. Processing Files With Special Language Characters Using Mule 4

Processing Files With Special Language Characters Using Mule 4

Learn several scenarios for files with special characters or language-based characters and the two major connectors that are used while reading files.

By 
Sadik Ali user avatar
Sadik Ali
DZone Core CORE ·
Feb. 28, 22 · Code Snippet
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Working with data, there are several scenarios to transform data from input files using the Mule 4 connector.

There are several scenarios for files with special characters or language-based characters.

  • Data will be trimmed in output.
  • Wrong format data will be converted in output.
  • Data for the rest of the row will be moved to unexpected columns.

There are two major connectors that are used while reading files.

  1. File connector: Maximum used while staged-based data processing
  2. SFTP connector: Largely used for reading files from external locations

Scenario 1

Data with special characters like '" "' or HTML tags

Requirement 

Process data to an output file with intact information. 

Sample Input Data 

Includes special characters:

Sample Input Data Scenario 1

Recommended Solution:

Use input connector (File/SFTP) to transform data while reading from input file.

XML
 
<file:read doc:name="Read" doc:id="23facb3c-774e-48a4-817d-21c79a8aa94f" config-ref="File_Config" path="sample.csv" outputMimeType='application/csv; escape="\"\""'/>

Configure the content of file and add escape character configuration in inbound connector configuration.

Scenario 2 

Data with special character like language specific (Latino) or HTML tags

Sample Input Data  

Includes special characters and language specific characters:

Sample Input Data Scenario 2

Recommended Solution  

Find below screenshot for example.

Screenshot of recommended solution

Escape characters and encodings are not fit for all scenarios. We need to validate a specific scenario and configuration to validate input.

Using the above configuration, we would able to transform files with required output format. Also, see MuleSoft SFTP Connector and MuleSoft File Connector for additional reference.

Data processing

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  • Integrating Apache Doris and Hudi for Data Querying and Migration
  • Problem Analysis in Apache Doris StreamLoad Scenarios
  • Lakehouse: Starting With Apache Doris + S3 Tables
  • An Overview of Asynchronous Processing in Salesforce

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