Java 在带引号的字段中使用带双引号的OpenCSV解析CSV

我正在尝试使用OpenCSV解析CSV文件。其中一列以YAML序列化格式存储数据，并被引用，因为其中可以包含逗号。它里面也有引号，所以它通过放两个引号来转义。我能够在Ruby中轻松解析这个文件，但使用OpenCSV我无法完全解析它。它是一个UTF-8编码的文件

下面是我的Java代码段，它正在尝试读取该文件

CSVReader reader = new CSVReader(new InputStreamReader(new FileInputStream(csvFilePath), "UTF-8"), ',', '\"', '\\');

下面是这个文件中的两行。第一行没有被正确地解析，并且在[Fair Trade Certified]被拆分，因为我猜是转义的双引号

1061658767,update,1196916,Product,28613099,Product::Source,"---
product_attributes:
-
- :name: Ornaments
  :brand_id: 49120
  :size: each
  :alcoholic: false
  :details: ""[Fair Trade Certified]""
  :gluten_free: false
  :kosher: false
  :low_fat: false
  :organic: false
  :sugar_free: false
  :fat_free: false
  :vegan: false
  :vegetarian: false
",,2015-11-01 00:06:19.796944,,,,,,
1061658768,create,,,28613100,Product::Source,"---
product_id:
retailer_id:
store_id:
source_id: 333790
locale: en_us
source_type: Product::PrehistoricProductDatum
priority: 1
is_definition:
product_attributes:
",,2015-11-01 00:06:19.927948,,,,,,

---

解决方案是使用RFC4180兼容的CSV解析器，正如所建议的那样。我使用了OpenCSV中的CSVReader，但它不起作用，或者我无法让它正常工作

我使用了RFC4180 CSV解析器，它可以无缝地工作

File file = new File(csvFilePath);
CsvReader csvReader = new CsvReader();
CsvContainer csv = csvReader.read(file, StandardCharsets.UTF_8);
for (CsvRow row : csv.getRows()) {
    System.out.println(row.getFieldCount());  
}

---

首先，我很高兴FastCSV为您工作，但我运行了可疑的子字符串，并通过3.9 openCSV运行了它，它与CsvParser和RFC4180Parser一起工作。请您详细说明它是如何不解析的，并/或使用3.9 openCSV进行尝试，看看您是否遇到同样的问题，然后使用下面的配置进行尝试

以下是我使用的测试：

CSVParser：

@Test
public void parseBigStringFromStackOverflowWithMultipleQuotesInLine() throws IOException {

    String bigline = "28613099,Product::Source,\"---\n" +
            "product_attributes:\n" +
            "-\n" +
            "- :name: Ornaments\n" +
            "  :brand_id: 49120\n" +
            "  :size: each\n" +
            "  :alcoholic: false\n" +
            "  :details: \"\"[Fair Trade Certified]\"\"\n" +
            "  :gluten_free: false\n" +
            "  :kosher: false\n" +
            "  :low_fat: false\n" +
            "  :organic: false\n" +
            "  :sugar_free: false\n" +
            "  :fat_free: false\n" +
            "  :vegan: false\n" +
            "  :vegetarian: false\n" +
            "\",,2015-11-01 00:06:19.796944";

    String suspectString = "---\n" +
            "product_attributes:\n" +
            "-\n" +
            "- :name: Ornaments\n" +
            "  :brand_id: 49120\n" +
            "  :size: each\n" +
            "  :alcoholic: false\n" +
            "  :details: \"[Fair Trade Certified]\"\n" +
            "  :gluten_free: false\n" +
            "  :kosher: false\n" +
            "  :low_fat: false\n" +
            "  :organic: false\n" +
            "  :sugar_free: false\n" +
            "  :fat_free: false\n" +
            "  :vegan: false\n" +
            "  :vegetarian: false\n" ;

    StringReader stringReader = new StringReader(bigline);

    CSVReaderBuilder builder = new CSVReaderBuilder(stringReader);
    CSVReader csvReader = builder.withFieldAsNull(CSVReaderNullFieldIndicator.BOTH).build();

    String item[] = csvReader.readNext();

    assertEquals(5, item.length);
    assertEquals("28613099", item[0]);
    assertEquals("Product::Source", item[1]);
    assertEquals(suspectString, item[2]);
}

RFC4180语法分析器

def 'parse big line from stackoverflow with complex string'() {
    given:
    RFC4180ParserBuilder builder = new RFC4180ParserBuilder()
    RFC4180Parser parser = builder.build()
    String bigline = "28613099,Product::Source,\"---\n" +
            "product_attributes:\n" +
            "-\n" +
            "- :name: Ornaments\n" +
            "  :brand_id: 49120\n" +
            "  :size: each\n" +
            "  :alcoholic: false\n" +
            "  :details: \"\"[Fair Trade Certified]\"\"\n" +
            "  :gluten_free: false\n" +
            "  :kosher: false\n" +
            "  :low_fat: false\n" +
            "  :organic: false\n" +
            "  :sugar_free: false\n" +
            "  :fat_free: false\n" +
            "  :vegan: false\n" +
            "  :vegetarian: false\n" +
            "\",,2015-11-01 00:06:19.796944"

    String suspectString = "---\n" +
            "product_attributes:\n" +
            "-\n" +
            "- :name: Ornaments\n" +
            "  :brand_id: 49120\n" +
            "  :size: each\n" +
            "  :alcoholic: false\n" +
            "  :details: \"[Fair Trade Certified]\"\n" +
            "  :gluten_free: false\n" +
            "  :kosher: false\n" +
            "  :low_fat: false\n" +
            "  :organic: false\n" +
            "  :sugar_free: false\n" +
            "  :fat_free: false\n" +
            "  :vegan: false\n" +
            "  :vegetarian: false\n"

    when:
    String[] values = parser.parseLine(bigline)

    then:
    values.length == 5
    values[0] == "28613099"
    values[1] == "Product::Source"
    values[2] == suspectString
}

---

CSV文件的标准是RFC4180，但并不总是遵循。它包括用逗号引用字段，以及将内部引号转换为两个引号。谷歌搜索RFC4180 java解析器发现了一些可能性。使用OpenCSV您无法解析它。信用到期。@EJP不知道这意味着什么：但无论如何，使用与RFC4180兼容的解析器修复了它。谢谢@Paul。使用兼容的RFC4180解析器对我来说很有用！！至少从版本4.1开始，OpenCSV有一个RFC4180解析器。以下是javadoc：