shell之实战应用一(查找xml文档中的关键字段)

时间:2023-03-09 08:23:35
shell之实战应用一(查找xml文档中的关键字段)
 

前几天同事问我一个问题,说如下的文档中,如何把name后面的字段(红色框中的字段)单独打印出来?

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" alt="" />

其实这个很简单,先用sed过滤,然后用cut分割显示即可实现,如下:

sed -n '/name/p' a.xml | cut -d '"' -f 2

使用sed命令的name匹配(或者field也可以)行,然后用cut把"作为分割符取第2列即可

或者使用awk也可以实现:

awk -F '"' '$0~"name"{print $2}' a.xml
#或者
awk 'BEGIN{FS="\""}$0~"name"{print $2}' a.xml

上面语句是把界定符放在了外面,使用参数标识

下面语句是把界定符放在了语句里面,因为双引号是特殊字符,所以使用反斜杠转义一下

但我同事说,这个可不止只有一条数据,如果是多条数据,会重复打印字段,部分数据如下:

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" alt="" />

这时我们需要对语句进行稍微的加工,如果使用sed,则需要如下操作:

sed -n '/name/p' b.xml | cut -d '"' -f 2 | sort |uniq

后面多加了俩个命令sort和uniq,sort是排序,uniq是去重,只有排序了才能去重,否则不生效。这里也可以把sort和uniq直接写成sort -u,当然如果需要反序,可以写成sort -ur

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" alt="" />

当然使用awk也是可以的,写成如下:

awk 'BEGIN{FS="\""}nameflag[$2]==$2{next}$0~"name"{print $2;nameflag[$2]=$2}' b.xml

我们这里加了一个数列来存储第二个字段,然后来比较第二个字段是否再出现,如果出现就跳过执行后面的行,这样就避免了重复

大家有什么更好的解决办法可以留言!