使用命令行將json數(shù)據(jù)導(dǎo)出到csv(一行命令搞定)
命令行導(dǎo)出json數(shù)據(jù)到csv
臨近年終,經(jīng)常遇到把接口數(shù)據(jù)導(dǎo)出到csv,再進一步做成圖表放入PPT中的訴求,畢竟PPT才是最好的語言!
每次導(dǎo)出數(shù)據(jù)都要寫一堆代碼,未免太浪費時間,送你一串神奇的命令行指令,讓你快速導(dǎo)出json到csv中,事半功倍!
處理json,肯定繞不過jq
這個命令。之前的文章:《教你在命令行操作JSON》介紹了jq
基礎(chǔ)的用法。本篇文章就借著導(dǎo)出數(shù)據(jù)這個實際的需求,再介紹下jq
的高級用法
簡單
先來個簡單版本的,接口響應(yīng)內(nèi)容如下,我們只想導(dǎo)出其中的code
、name
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"
可以先嘗試自行理解上面jq
的使用,下面我們加大難度,自動提取數(shù)據(jù)的全部字段,并添加表頭
進階
先看下進階版本的全貌,為了換行更加清晰的展示,這里把jq
的filter
單獨放入了一個文件,在執(zhí)行jq
的時候只需要指定-f file
即可。效果和在命令行中一樣。
# filters 文件內(nèi)容 (map(keys) | add | unique) as $header | map(. as $row | $header | map($row[.])) as $rows | $header, $rows[] | @csv
# j.json文件內(nèi)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的表頭
(map(keys) | add | unique) as $header
用來提取csv第一行需要的表頭。逐個命令看下
? keys
對象所有key組成的數(shù)組
$ echo '{"code": "NSW", "name": "New South Wales", "level":"state", "country": "AU"}' | jq 'keys' [ "code", "country", "level", "name" ]
? map(f)
可以對數(shù)組的每一項進行f
操作,然后合并結(jié)果
$ echo '[{"name": "foo"},{"name": "bar"},{"name": "foobar"}]' | jq 'map(.name)' [ "foo", "bar", "foobar" ]
f
可以是更復(fù)雜的函數(shù),例如length
可以獲取字符串或數(shù)組的長度,把length
放到map
中,得到數(shù)組每一個元素的長度
$ echo '["foo", "bar", "foobar"]' | jq 'map(length)' [ 3, 3, 6 ]
所以map(keys)
對于下面這段json來說。對數(shù)組中每一個元素執(zhí)行keys
,即對象所有key組成的數(shù)組
# 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
顧名思義,首先將數(shù)組合并,然后再去重
$ cat j.json | jq 'map(keys) | add | unique' [ "code", "country", "level", "name" ]
(map(keys) | add | unique) as $header
總結(jié)就是遍歷要轉(zhuǎn)換成csv的每一條數(shù)據(jù),取每一條數(shù)據(jù)的所有key,合并去重。相比于取數(shù)據(jù)的第一條作為表頭,這種方式獲取了所有數(shù)據(jù)的字段,避免第一條后面數(shù)據(jù)的字段多于第一條的情況
生成表格數(shù)據(jù)
map(. as $row | $header | map($row[.])) as $row
就是生成表格內(nèi)容的主要命令
最外層的map
遍歷處理每一行數(shù)據(jù),我們看看如何對每一行進行處理
?? . as $row
相當(dāng)于給當(dāng)前行命名成$row
??$header | map($row[.])
此時上下文已經(jīng)變成了$header
???? ``map(遍歷表頭的每一個字段,從row中獲取對應(yīng)的值。類似
、row["country"]、
$row["level"]`這樣
對每一行處理完后,就得到了多行的表格的內(nèi)容區(qū)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" ]
輸出成csv
@csv
指令能很好的完成把數(shù)組轉(zhuǎn)換成csv的工作。
最終完成的效果如下,說簡單也簡單,說復(fù)雜也復(fù)雜。命令有點長,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"
課后題
有時候接口返回的數(shù)據(jù)可能會是如下結(jié)構(gòu),思考下如何利用jq
完成csv的轉(zhuǎn)換吧
{ "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"] ]
以上就是使用命令行將json數(shù)據(jù)導(dǎo)出到csv(一行命令搞定)的詳細內(nèi)容,更多關(guān)于json數(shù)據(jù)導(dǎo)出到csv的資料請關(guān)注腳本之家其它相關(guān)文章!
相關(guān)文章
Linux Shell腳本語句執(zhí)行失敗,后續(xù)語句繼續(xù)執(zhí)行的問題及解決
這篇文章主要介紹了Linux Shell腳本語句執(zhí)行失敗,后續(xù)語句繼續(xù)執(zhí)行的問題及解決方案,具有很好的參考價值,希望對大家有所幫助。如有錯誤或未考慮完全的地方,望不吝賜教2023-06-06利用perl、python、php、shell、sed、awk、c 實現(xiàn)字符串的翻轉(zhuǎn)
今天心血來潮,看到下面的題目后延伸了一下,回顧自己以前學(xué)到的一些知識2014-04-04Linux 中可重入函數(shù)與不可重入函數(shù)詳解
這篇文章主要介紹了Linux 中可重入函數(shù)與不可重入函數(shù)詳解的相關(guān)資料,需要的朋友可以參考下2017-06-06shell腳本實現(xiàn)ssh-copy-id批量自動發(fā)送公鑰到遠程主機
這篇文章主要介紹了shell腳本實現(xiàn)ssh-copy-id批量自動發(fā)送公鑰到遠程主機的方式,本文給大家介紹的非常詳細,具有一定的參考借鑒價值,需要的朋友可以參考下2019-11-11