Question

我正在使用spark-excel（com.crealytics.spark.excel）库来读取excel文件。如果excel文件中没有重复列，则库工作正常。如果excel文件中出现任何重复的列名，则抛出异常。如何克服这个错误。是否有任何解决方法可以解决这个问题。

线程中的异常＆＃34; main＆＃34; org.apache.spark.sql.AnalysisException：在数据模式中找到重复的列：net territory; 在org.apache.spark.sql.util.SchemaUtils $ .checkColumnNameDuplication（SchemaUtils.scala：85）

Answer 1

Using spark excel API getting exception . 
    StructType schema = DataTypes.createStructType(new StructField[]{DataTypes.createStructField("CGISAI", DataTypes.StringType, true), DataTypes.createStructField("SALES TERRITORY", DataTypes.StringType, true)});
    SQLContext sqlcxt = new SQLContext(jsc);
    Dataset<Row> df = sqlcxt.read()
            .format("com.crealytics.spark.excel")
            .option("path", "file:///"+siteinfofile)
            .option("useHeader", "true")
            .option("spark.read.simpleMode", "true")
            .option("treatEmptyValuesAsNulls", "true")
            .option("inferSchema", "false")
            .option("addColorColumns", "False")
            .option("sheetName", "sheet1")
            .option("startColumn", 22)
            .option("endColumn", 23)
            //.schema(schema)
            .load();
    return df;


This is the code I am using. I am using sparkexcel library from com.crealytics.spark.excel. 

I want the solution to identify whether excel file has duplicate columns or not. if have duplicate columns, how to rename/eliminate the duplicate columns.




WorkAround is as below:
convert .xlsx file into .csv . using spark default csv api that can handle duplicate column names by renaming them automatically.

Below is the code to convert from xlsx to csv file.


/*
 * To change this license header, choose License Headers in Project Properties.
 * To change this template file, choose Tools | Templates
 * and open the template in the editor.
 */
package com.huawei.java.tools;

/**
 *
 * @author Nanaji Jonnadula
 */

import org.apache.poi.openxml4j.opc.OPCPackage;
import org.apache.poi.openxml4j.opc.PackageAccess;
import org.apache.poi.ss.usermodel.DataFormatter;
import org.apache.poi.ss.util.CellAddress;
import org.apache.poi.ss.util.CellReference;
import org.apache.poi.util.SAXHelper;
import org.apache.poi.xssf.eventusermodel.ReadOnlySharedStringsTable;
import org.apache.poi.xssf.eventusermodel.XSSFReader;
import org.apache.poi.xssf.eventusermodel.XSSFSheetXMLHandler;
import org.apache.poi.xssf.model.StylesTable;
import org.apache.poi.xssf.usermodel.XSSFComment;
import org.xml.sax.ContentHandler;
import org.xml.sax.InputSource;
import org.xml.sax.SAXException;
import org.xml.sax.XMLReader;

import javax.xml.parsers.ParserConfigurationException;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;

import static org.apache.poi.xssf.eventusermodel.XSSFSheetXMLHandler.SheetContentsHandler;
public class ExcelXlsx2Csv {


    private static class SheetToCSV implements SheetContentsHandler {
        private boolean firstCellOfRow = false;
        private int currentRow = -1;
        private int currentCol = -1;

        private StringBuffer lineBuffer = new StringBuffer();

        /** * Destination for data */
        private FileOutputStream outputStream;

        public SheetToCSV(FileOutputStream outputStream) {
            this.outputStream = outputStream;
        }

        @Override
        public void startRow(int rowNum) {
            /** * If there were gaps, output the missing rows: * outputMissingRows(rowNum - currentRow - 1); */
            // Prepare for this row
            firstCellOfRow = true;
            currentRow = rowNum;
            currentCol = -1;

            lineBuffer.delete(0, lineBuffer.length());  //clear lineBuffer
        }

        @Override
        public void endRow(int rowNum) {
            lineBuffer.append('\n');
            try {
                outputStream.write(lineBuffer.substring(0).getBytes());
            } catch (IOException e) {
                System.out.println("save date to file error at row number: {}"+ currentCol);
                throw new RuntimeException("save date to file error at row number: " + currentCol);
            }
        }

        @Override
        public void cell(String cellReference, String formattedValue, XSSFComment comment) {
            if (firstCellOfRow) {
                firstCellOfRow = false;
            } else {
                lineBuffer.append(',');
            }

            // gracefully handle missing CellRef here in a similar way as XSSFCell does
            if (cellReference == null) {
                cellReference = new CellAddress(currentRow, currentCol).formatAsString();
            }

            int thisCol = (new CellReference(cellReference)).getCol();
            int missedCols = thisCol - currentCol - 1;
            if (missedCols > 1) {   
                lineBuffer.append(',');
            }
            currentCol = thisCol;
            if (formattedValue.contains("\n")) {    
                formattedValue = formattedValue.replace("\n", "");
            }
            formattedValue = "\"" + formattedValue + "\"";  
            lineBuffer.append(formattedValue);
        }

        @Override
        public void headerFooter(String text, boolean isHeader, String tagName) {
            // Skip, no headers or footers in CSV
        }
    }



    private static void processSheet(StylesTable styles, ReadOnlySharedStringsTable strings,
                                    SheetContentsHandler sheetHandler, InputStream sheetInputStream) throws Exception {
        DataFormatter formatter = new DataFormatter();
        InputSource sheetSource = new InputSource(sheetInputStream);
        try {
            XMLReader sheetParser = SAXHelper.newXMLReader();
            ContentHandler handler = new XSSFSheetXMLHandler(
                    styles, null, strings, sheetHandler, formatter, false);
            sheetParser.setContentHandler(handler);
            sheetParser.parse(sheetSource);
        } catch (ParserConfigurationException e) {
            throw new RuntimeException("SAX parser appears to be broken - " + e.getMessage());
        }
    }


    public static void process(String srcFile, String destFile,String sheetname_) throws Exception {
        File xlsxFile = new File(srcFile);
        OPCPackage xlsxPackage = OPCPackage.open(xlsxFile.getPath(), PackageAccess.READ);
        ReadOnlySharedStringsTable strings = new ReadOnlySharedStringsTable(xlsxPackage);
        XSSFReader xssfReader = new XSSFReader(xlsxPackage);
        StylesTable styles = xssfReader.getStylesTable();
        XSSFReader.SheetIterator iter = (XSSFReader.SheetIterator) xssfReader.getSheetsData();
        int index = 0;
        while (iter.hasNext()) {
            InputStream stream = iter.next();
            String sheetName = iter.getSheetName();
            System.out.println(sheetName + " [index=" + index + "]");
            if(sheetName.equals(sheetname_)){
            FileOutputStream fileOutputStream = new FileOutputStream(destFile);
            processSheet(styles, strings, new SheetToCSV(fileOutputStream), stream);
            fileOutputStream.flush();
            fileOutputStream.close();            
            }
            stream.close();

            ++index;
        }
        xlsxPackage.close();
    }

    public static void main(String[] args) throws Exception {
        ExcelXlsx2Csv.process("D:\\data\\latest.xlsx", "D:\\data\\latest.csv","sheet1"); //source , destination, sheetname
    }
}

使用sparkexcel库读取重复列名excel文件时获取异常。如何克服这个问题

1 个答案: