{"record":{"id":"98bb16ddd65dd2a6","repo":"pentaho/pentaho-kettle","slug":"error-serializing-rows-of-data-to-the-fifo-file","errorCode":null,"errorMessage":"Error serializing rows of data to the fifo file","messagePattern":"Error serializing rows of data to the fifo file","errorType":"exception","errorClass":"KettleException","httpStatus":null,"severity":"error","filePath":"plugins/ivw-bulk-loader/impl/src/main/java/org/pentaho/di/trans/steps/ivwloader/IngresVectorwiseLoader.java","lineNumber":573,"sourceCode":"                write( data.doubleQuote );\n              } else {\n                write( data.getBytes( string ) );\n              }\n            }\n          }\n        }\n      }\n\n      // finally write a newline\n      //\n      write( data.newline );\n    } catch ( Exception e ) {\n      // If something went wrong with the import,\n      // rather return that error, in stead of \"Pipe Broken\"\n      try {\n        data.sqlRunner.checkExcn();\n      } catch ( Exception loadEx ) {\n        throw new KettleException( \"Error serializing rows of data to the fifo file\", loadEx );\n      }\n\n      throw new KettleException( \"Error serializing rows of data to the fifo file\", e );\n    }\n\n  }\n\n  private void write( byte[] content ) throws IOException {\n\n    if ( content == null || content.length == 0 ) {\n      return;\n    }\n\n    // If exceptionally we have a block of data larger than the buffer simply dump it to disk!\n    //\n    if ( content.length > data.byteBuffer.capacity() ) {\n      // It should be exceptional to have a single field containing over 50k data\n      //","sourceCodeStart":555,"sourceCodeEnd":591,"githubUrl":"https://github.com/pentaho/pentaho-kettle/blob/f3058517a153da500bf4551f46d79b91bf8ec552/plugins/ivw-bulk-loader/impl/src/main/java/org/pentaho/di/trans/steps/ivwloader/IngresVectorwiseLoader.java#L555-L591","documentation":"Wrapped KettleException raised in writeRowToBulk when row serialization to the fifo file failed AND the sqlRunner's checkExcn() itself threw (loadEx). The load-side exception is used as the cause, i.e. the Ingres load process reported the failure, not the fifo writer per se.","triggerScenarios":"During processRow, writing a row to the fifo throws; the code then calls data.sqlRunner.checkExcn(), which detects an exception in the running sql/load process and throws, producing this wrapper.","commonSituations":"The vwload/ingres process died (bad SQL, permissions on fifo, disk full); malformed row data rejected by the loader; fifo removed or filesystem issues.","solutions":["Inspect the cause (loadEx) and the ingres process log to find why the load process failed.","Validate row data types/lengths against the target table schema before loading.","Ensure the fifo file location is writable and the Ingres process can run on this host.","Retry the transformation with a small data sample to isolate the offending rows."],"exampleFix":null,"handlingStrategy":"try-catch","validationCode":null,"typeGuard":null,"tryCatchPattern":"try { loader.processRow(); } catch (KettleException e) { Throwable cause = e.getCause(); /* if cause came from checkExcn, consult the load process error log */ }","preventionTips":["Ensure row data conforms to target column types/lengths.","Monitor the Ingres load process so it stays alive through the load.","Pre-validate fifo path writability and disk space."],"tags":["database","bulk-loader","fifo","io"],"backgroundTag":"database-write-failed","analyzedSha":"f3058517a153da500bf4551f46d79b91bf8ec552","analyzedAt":"2026-09-13T14:04:16.340Z","contentChangedAt":"2026-09-13T14:04:16.340Z","schemaVersion":2},"datasetVersion":"2026-09-20T23:17:15.980Z"}