无COBOL连接器时，如何将COBOL环境文件导入Mosaic平台做后续转换？

Alright, let's figure out how to get your COBOL files into Mosaic since there's no native connector available yet. I've worked through similar legacy system integration scenarios before, so here are a few actionable approaches to make this happen:

Mosaic almost certainly supports common structured formats like CSV, Parquet, or JSON. Your first move can be converting the COBOL data to one of these, then uploading the converted files directly to Mosaic.

• GNU COBOL for custom conversion: If you have access to the COBOL copybook (the schema definition for your file), you can write a simple COBOL program to read the file and output a standard format. For example, a quick script to generate CSV:

  IDENTIFICATION DIVISION.
       PROGRAM-ID. COBOLTOCSV.
       ENVIRONMENT DIVISION.
       INPUT-OUTPUT SECTION.
       FILE-CONTROL.
           SELECT IN-FILE ASSIGN TO 'input.cobol'
               ORGANIZATION IS LINE SEQUENTIAL.
           SELECT OUT-FILE ASSIGN TO 'output.csv'
               ORGANIZATION IS LINE SEQUENTIAL.
       DATA DIVISION.
       FILE SECTION.
       FD  IN-FILE.
       01  IN-RECORD.
           05  EMP-ID          PIC X(10).
           05  EMP-NAME        PIC X(30).
           05  EMP-SALARY      PIC 9(6)V99.
       FD  OUT-FILE.
       01  OUT-RECORD         PIC X(50).
       WORKING-STORAGE SECTION.
       01  WS-CSV-LINE        PIC X(50).
       01  END-OF-FILE        PIC X VALUE 'N'.
       PROCEDURE DIVISION.
           OPEN INPUT IN-FILE OUTPUT OUT-FILE.
           PERFORM UNTIL END-OF-FILE = 'Y'
               READ IN-FILE
                   AT END MOVE 'Y' TO END-OF-FILE
                   NOT AT END
                       STRING EMP-ID DELIMITED BY SIZE
                              ',' DELIMITED BY SIZE
                              EMP-NAME DELIMITED BY SIZE
                              ',' DELIMITED BY SIZE
                              EMP-SALARY DELIMITED BY SIZE
                              INTO WS-CSV-LINE
                       WRITE OUT-RECORD FROM WS-CSV-LINE
           END-PERFORM.
           CLOSE IN-FILE OUT-FILE.
           STOP RUN.
  

  Compile this with cobc -x coboltocsv.cob and run it to generate your CSV.

• Enterprise tools for large-scale conversion: If you're working on mainframe COBOL files, tools like IBM DFSORT, Syncsort, or FileMaster Plus can batch-convert COBOL data to CSV/Parquet efficiently without writing custom code.

ETL tools with native COBOL support can act as an intermediary to read COBOL files and push data directly to Mosaic (assuming Mosaic exposes APIs, JDBC connections, or file storage endpoints):

• Apache NiFi: Configure a GetFile processor to pull your COBOL file, use a COBOLReader processor (with your copybook) to parse the records, then use a PutHTTP or PutFile processor to send the parsed data to Mosaic's ingestion endpoint or storage.
• Talend/Informatica: These low-code tools have pre-built COBOL connectors. You can set up a job that reads the COBOL file, transforms it if needed, and loads it into Mosaic via its supported integration methods (like REST API or cloud storage sync).

If you need more flexibility, you can build a lightweight custom tool to parse COBOL files and call Mosaic's ingestion API directly:

• Python example with pycobol-parser:

  from pycobol_parser import CobolParser
  import requests
  
  # Load copybook and parse COBOL file
  parser = CobolParser(copybook_path='employee.cbl')
  records = parser.parse_file('input.cobol')
  
  # Convert records to JSON (adjust based on Mosaic's API requirements)
  payload = {"records": [dict(record) for record in records]}
  
  # Send to Mosaic's ingestion API
  mosaic_api_url = "https://your-mosaic-instance.com/api/ingest"
  headers = {"Authorization": "Bearer YOUR_API_TOKEN"}
  response = requests.post(mosaic_api_url, json=payload, headers=headers)
  
  if response.status_code == 200:
      print("Data successfully imported to Mosaic!")
  else:
      print(f"Import failed: {response.text}")
  

  Note: You'll need to install pycobol-parser via pip install pycobol-parser and adjust the API endpoint/auth details to match your Mosaic setup.

Key Tips to Avoid Headaches #

• Always use the correct copybook: COBOL files are tightly tied to their copybook schema—using an outdated or incorrect copybook will lead to garbled data.
• Test with small batches first: Validate your conversion/import workflow with a small subset of data before processing large files.
• Consider performance for large files: For multi-GB COBOL files, use streaming processing (instead of loading the entire file into memory) to avoid resource issues.

内容的提问来源于stack exchange，提问作者Abhijeet Vipat