我需要从CSV文件中提取一些数据。 CSV是一个包含多个记录的2列文件。第一列是日期,第二列是需要提取的数据。 CSV文件的第一行是列标题,因此可以跳过它。我已经为提取的数据的csv文件创建了列标题,所以没有必要,我只需使用>>将数据导入其中。
这是CSV文件中的1条记录/行(很多):
"2009-09-20 00:12:37","a:2:{s:15:""info_buyRequest"";a:5:{s:4:""uenc"";s:116:""aHR0cDovL3N0b3JlLmZvcmdldGhhbmdvdmVycy5jb20vcGF0Y2hlcy9pbmRpdmlkdWFsLXBhdGNoZXMvZnJlZS1zYW1wbGUuaHRtbD9fX19TSUQ9VQ,,"";s:7:""product"";s:1:""1"";s:15:""related_product"";s:0:"""";s:7:""options"";a:13:{i:17;s:2:""59"";i:16;s:2:""50"";i:15;s:2:""49"";i:14;s:2:""47"";i:13;s:2:""41"";i:12;s:2:""34"";i:11;s:2:""25"";i:10;s:2:""23"";i:9;s:2:""19"";i:8;s:2:""17"";i:7;s:2:""12"";i:6;s:1:""9"";i:5;s:1:""5"";}s:3:""qty"";i:1;}s:7:""options"";a:13:{i:0;a:7:{s:5:""label"";s:25:""How did you hear about us"";s:5:""value"";s:22:""Friend / Family Member"";s:11:""print_value"";s:22:""Friend / Family Member"";s:9:""option_id"";s:2:""17"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""59"";s:11:""custom_view"";b:0;}i:1;a:7:{s:5:""label"";s:3:""Age"";s:5:""value"";s:5:""21-24"";s:11:""print_value"";s:5:""21-24"";s:9:""option_id"";s:2:""16"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""50"";s:11:""custom_view"";b:0;}i:2;a:7:{s:5:""label"";s:14:""Marital Status"";s:5:""value"";s:9:""UnMarried"";s:11:""print_value"";s:9:""UnMarried"";s:9:""option_id"";s:2:""15"";s:11:""option_type"";s:5:""radio"";s:12:""option_value"";s:2:""49"";s:11:""custom_view"";b:0;}i:3;a:7:{s:5:""label"";s:3:""Sex"";s:5:""value"";s:6:""Female"";s:11:""print_value"";s:6:""Female"";s:9:""option_id"";s:2:""14"";s:11:""option_type"";s:5:""radio"";s:12:""option_value"";s:2:""47"";s:11:""custom_view"";b:0;}i:4;a:7:{s:5:""label"";s:10:""Occupation"";s:5:""value"";s:7:""Student"";s:11:""print_value"";s:7:""Student"";s:9:""option_id"";s:2:""13"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""41"";s:11:""custom_view"";b:0;}i:5;a:7:{s:5:""label"";s:9:""Education"";s:5:""value"";s:16:""College Graduate"";s:11:""print_value"";s:16:""College Graduate"";s:9:""option_id"";s:2:""12"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""34"";s:11:""custom_view"";b:0;}i:6;a:7:{s:5:""label"";s:16:""Household Income"";s:5:""value"";s:7:""30K-50K"";s:11:""print_value"";s:7:""30K-50K"";s:9:""option_id"";s:2:""11"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""25"";s:11:""custom_view"";b:0;}i:7;a:7:{s:5:""label"";s:23:""Do You Take Supplements"";s:5:""value"";s:2:""No"";s:11:""print_value"";s:2:""No"";s:9:""option_id"";s:2:""10"";s:11:""option_type"";s:5:""radio"";s:12:""option_value"";s:2:""23"";s:11:""custom_view"";b:0;}i:8;a:7:{s:5:""label"";s:40:""How would you rank your typical hangover"";s:5:""value"";s:4:""Mild"";s:11:""print_value"";s:4:""Mild"";s:9:""option_id"";s:1:""9"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""19"";s:11:""custom_view"";b:0;}i:9;a:7:{s:5:""label"";s:51:""What type of establishments do you typically prefer"";s:5:""value"";s:10:""Nightclubs"";s:11:""print_value"";s:10:""Nightclubs"";s:9:""option_id"";s:1:""8"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""17"";s:11:""custom_view"";b:0;}i:10;a:7:{s:5:""label"";s:40:""How often do you usually go out per week"";s:5:""value"";s:3:""1-2"";s:11:""print_value"";s:3:""1-2"";s:9:""option_id"";s:1:""7"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:2:""12"";s:11:""custom_view"";b:0;}i:11;a:7:{s:5:""label"";s:49:""How many drinks do you typically consume per week"";s:5:""value"";s:3:""6-8"";s:11:""print_value"";s:3:""6-8"";s:9:""option_id"";s:1:""6"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:1:""9"";s:11:""custom_view"";b:0;}i:12;a:7:{s:5:""label"";s:53:""How would you prefer to buy our Products"";s:5:""value"";s:6:""Online"";s:11:""print_value"";s:6:""Online"";s:9:""option_id"";s:1:""5"";s:11:""option_type"";s:9:""drop_down"";s:12:""option_value"";s:1:""5"";s:11:""custom_view"";b:0;}}}"
输出应该是这里找到的数据:
?是一个数字, {DATA} 是要提取的数据。
因此,这1条记录的输出将是:
"2009-09-20 00:12:37","Friend / Family Member","21-24","UnMarried","Female","Student","College Graduate","30K-50K","No","Mild","Nightclubs","1-2","6-8","Online"
我并不精通Sed,AWK或Grep,但我知道如果不是全部三种工具都可以使用其中一种工具。任何帮助或推动正确的方向都将非常感激。
答案 0 :(得分:2)
我建议您使用PHP对结构进行反序列化。 但是,使用 sed 和 tr ,这是一个快速而又脏的版本。当然,你可以做得更好:
cat file.csv | \
tr ",;" "\n" | \
sed -e 's/[asbi]:[0-9]*[:]*//g' -e '/^[{}]/d' -e 's/""//g' -e '/^"{/d' | \
sed -n -e '/^"/p' -e '/^print_value$/,/^option_id$/p' | \
sed -e '/^option_id/d' -e '/^print_value/d' -e 's/^"\(.*\)"$/\1/' | \
tr "\n" "," | \
sed -e 's/,\([0-9]*-[0-9]*-[0-9]*\)/\n\1/g' -e 's/,$//' | \
sed -e 's/^/"/g' -e 's/$/"/g' -e 's/,/","/g'
解释:
答案 1 :(得分:0)
这是我的回答:
cat TestData \
| grep -o -P "print_value\"\";.*?:\"\".*?\"\";" \
| perl -pe 's|print_value.*:\"\"(.*?)\"\";|\1|'
第一行显示数据(存储在TestData中)。
第二行要求grep将每个匹配从print_value分隔到最近的'“”;'。 请注意,我使用'。*?'非贪婪匹配(需要使用'-P')。
最后一行使用perl去除所有不需要的东西。看到我使用'(。*?)'来匹配所需的组,并使用'\ 1'来显示该组。
希望这有帮助。
答案 2 :(得分:0)
这是一个sed oneliner:
sed -nr 's/^([^,]+),(.*)$/\2@%@\1/;:a;s/""print_value"";s:[0-9]+:""([^"]+)""(.*)$/\2,"\1"/;ta;s/^.*@%@//p' <source
基本上提取数据并使用唯一分隔符'@%@'将其附加到行尾。
当循环/替换构造失败时(即没有更多数据),扔掉原始行剩下的东西,使数据格式化得很好。