使用命令行将json数据导出到csv(一行命令搞定)

 更新时间:2024年01月24日 11:51:50   作者:凉凉的知识库  
这篇文章主要为大家介绍了使用命令行将json数据导出到csv,一行命令搞定的方法详解,有需要的朋友可以借鉴参考下,希望能够有所帮助,祝大家多多进步,早日升职加薪

命令行导出json数据到csv

临近年终,经常遇到把接口数据导出到csv,再进一步做成图表放入PPT中的诉求,毕竟PPT才是最好的语言!

每次导出数据都要写一堆代码,未免太浪费时间,送你一串神奇的命令行指令,让你快速导出json到csv中,事半功倍!

处理json,肯定绕不过jq这个命令。之前的文章:《教你在命令行操作JSON》介绍了jq基础的用法。本篇文章就借着导出数据这个实际的需求,再介绍下jq的高级用法

简单

先来个简单版本的,接口响应内容如下,我们只想导出其中的codename字段到scv

[
    {"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"},
    {"code": "AB", "name": "Alberta", "level":"province", "country": "CA"},
    {"code": "ABD", "name": "Aberdeenshire", "level":"council area", "country": "GB"},
    {"code": "AK", "name": "Alaska", "level":"state", "country": "US"}
]
$ cat j.json | jq -r '. | ["name", "code"], map([.name, .code])[] | @csv'
"name","code"
"New South Wales","NSW"
"Alberta","AB"
"Aberdeenshire","ABD"
"Alaska","AK"

可以先尝试自行理解上面jq的使用,下面我们加大难度,自动提取数据的全部字段,并添加表头

进阶

先看下进阶版本的全貌,为了换行更加清晰的展示,这里把jqfilter单独放入了一个文件,在执行jq的时候只需要指定-f file即可。效果和在命令行中一样。

# filters 文件内容
(map(keys) | add | unique) as $header
    | map(. as $row | $header | map($row[.])) as $rows
    | $header, $rows[]
    | @csv
# j.json文件内容
# [
#     {"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"},
#     {"code": "AB", "name": "Alberta", "level":"province", "country": "CA"},
#     {"code": "ABD", "name": "Aberdeenshire", "level":"council area", "country": "GB"},
#     {"code": "AK", "name": "Alaska", "level":"state", "country": "US"}
# ]
$ cat j.json | jq -r -f filters | tee j.csv
"code","country","level","name"
"NSW","AU","state","New South Wales"
"AB","CA","province","Alberta"
"ABD","GB","council area","Aberdeenshire"
"AK","US","state","Alaska"

提取csv的表头

(map(keys) | add | unique) as $header 用来提取csv第一行需要的表头。逐个命令看下

✨ keys   对象所有key组成的数组

$ echo '{"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"}' | jq 'keys'
[
  "code",
  "country",
  "level",
  "name"
]

✨ map(f) 可以对数组的每一项进行f操作,然后合并结果

$ echo '[{"name": "foo"},{"name": "bar"},{"name": "foobar"}]' | jq 'map(.name)'
[
  "foo",
  "bar",
  "foobar"
]

f可以是更复杂的函数,例如length可以获取字符串或数组的长度,把length放到map中,得到数组每一个元素的长度

$ echo '["foo", "bar", "foobar"]' | jq 'map(length)'
[
  3,
  3,
  6
]

所以map(keys)对于下面这段json来说。对数组中每一个元素执行keys,即对象所有key组成的数组

# j.json
[
    {"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"},
    {"code": "AB", "name": "Alberta", "level":"province", "country": "CA"},
    {"code": "ABD", "name": "Aberdeenshire", "level":"council area", "country": "GB"},
    {"code": "AK", "name": "Alaska", "level":"state", "country": "US"}
]
$ cat j.json | jq 'map(keys)'
[
  [
    "code",
    "country",
    "level",
    "name"
  ],
  [
    "code",
    "country",
    "level",
    "name"
  ],
  [
    "code",
    "country",
    "level",
    "name"
  ],
  [
    "code",
    "country",
    "level",
    "name"
  ]
]

✨ add | unique 顾名思义,首先将数组合并,然后再去重

$ cat j.json | jq 'map(keys) | add | unique'
[
  "code",
  "country",
  "level",
  "name"
]

(map(keys) | add | unique) as $header 总结就是遍历要转换成csv的每一条数据,取每一条数据的所有key,合并去重。相比于取数据的第一条作为表头,这种方式获取了所有数据的字段,避免第一条后面数据的字段多于第一条的情况

生成表格数据

map(. as $row | $header | map($row[.])) as $row就是生成表格内容的主要命令

最外层的map遍历处理每一行数据,我们看看如何对每一行进行处理

🌲 . as $row相当于给当前行命名成$row

🌲$header | map($row[.]) 此时上下文已经变成了$header

🌲🌲 ``map(遍历表头的每一个字段,从row中获取对应的值。类似、row["country"]$row["level"]`这样

对每一行处理完后,就得到了多行的表格的内容区域

$ cat j.json | jq -r '(map(keys) | add | unique) as $header | map(. as $row | $header | map($row[.])) as $rows | $header, $rows[] '
[
  "code",
  "country",
  "level",
  "name"
]
[
  "NSW",
  "AU",
  "state",
  "New South Wales"
]
[
  "AB",
  "CA",
  "province",
  "Alberta"
]
[
  "ABD",
  "GB",
  "council area",
  "Aberdeenshire"
]
[
  "AK",
  "US",
  "state",
  "Alaska"
]

输出成csv

@csv指令能很好的完成把数组转换成csv的工作。

最终完成的效果如下,说简单也简单,说复杂也复杂。命令有点长,往后滑👉

$ cat j.json | jq -r '(map(keys) | add | unique) as $header | map(. as $row | $header | map($row[.])) as $rows | $header, $rows[] | @csv'
"code","country","level","name"
"NSW","AU","state","New South Wales"
"AB","CA","province","Alberta"
"ABD","GB","council area","Aberdeenshire"
"AK","US","state","Alaska"

课后题

有时候接口返回的数据可能会是如下结构,思考下如何利用jq完成csv的转换吧

{
    "headers": [
        "code",
        "name",
        "level",
        "country"
    ],
    "data": [
        ["NSW", "New South Wales", "state", "AU"],
        ["AB", "Alberta", "province", "CA"],
        ["ABD", "Aberdeenshire", "council area", "GB"],
        ["AK", "Alaska", "state", "US"]
    ]

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