如何使用 javascript 读取包含（竖线分隔）值的 .psv 文件数据

Question

如何使用 javascript 读取 .psv 文件内容，其中包含管道分隔值。

文件内容为：

A|1|"A    india               "|1|"A    hyderabad                "
A|1|"A    india               "|2|"A    banglore                 "
A|1|"A    india               "|3|"A  chennai                    "
A|1|"A    india               "|4|"A   amaravathi                "
A|1|"A    india               "|5|"A   delhi                     "
A|1|"A    india               "|6|"A   uttarpradesh              "
A|1|"A    india               "|7|"A   west bengal               "
A|1|"A    india               "|8|"A    punjab                   "
A|1|"A    india               "|9|"A   mizoram                   "
A|1|"A    india               "|10|"A   rajasthan                "
A|1|"A    india               "|11|"A    kerala                  "
A|1|"A    india               "|12|"A   mumbai                   "
B|1|"B    USA                 "|1|"B    florida                  "
B|1|"B    USA                 "|2|"B    new york                 "
B|1|"B    USA                 "|3|"B    texas                    "
B|1|"B    USA                 "|4|"B    miami                    "
B|1|"B    USA                 "|5|"B    alanta                   "
B|1|"B    USA                 "|6|"B    chicago                  "
B|1|"B    USA                 "|7|"B    washington               "
B|1|"B    USA                 "|8|"B    boston                   "
B|1|"B    USA                 "|9|"B    los angels               "

这是我试过的代码

var fs = require('fs');

fs.readFile('sample-file.psv', (err, data) => {
  if (err) throw err;
    console.log(data);
});

预期输出：

[{ a : india },{ b : USA },{ india : hyderabad },{ india : banglore },{ india : chennai },{ india : kerala },{ USA : newyork },{ USA : boston },{ USA : florida }]

有人知道怎么做吗？请帮助解决这个问题，提前致谢

Answer 1

您可以通过以下方式获取拆分内容的数据：

data = `A|1|"A    india               "|1|"A    hyderabad                "
A|1|"A    india               "|2|"A    banglore                 "
A|1|"A    india               "|3|"A  chennai                    "
A|1|"A    india               "|4|"A   amaravathi                "
A|1|"A    india               "|5|"A   delhi                     "
A|1|"A    india               "|6|"A   uttarpradesh              "
A|1|"A    india               "|7|"A   west bengal               "
A|1|"A    india               "|8|"A    punjab                   "
A|1|"A    india               "|9|"A   mizoram                   "
A|1|"A    india               "|10|"A   rajasthan                "
A|1|"A    india               "|11|"A    kerala                  "
A|1|"A    india               "|12|"A   mumbai                   "
B|1|"B    USA                 "|1|"B    florida                  "
B|1|"B    USA                 "|2|"B    new york                 "
B|1|"B    USA                 "|3|"B    texas                    "
B|1|"B    USA                 "|4|"B    miami                    "
B|1|"B    USA                 "|5|"B    alanta                   "
B|1|"B    USA                 "|6|"B    chicago                  "
B|1|"B    USA                 "|7|"B    washington               "
B|1|"B    USA                 "|8|"B    boston                   "
B|1|"B    USA                 "|9|"B    los angels               "`

data.split('\n').map(function(line){ 
    console.log(line.split('|')) 
})

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