Question

我有一个这样的字符串：

String text = "new SingleSizeProduct(422056, 1265858, 5430, '3XL', 75, 0, '14.90',     '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265859, 5341, 'L', 55, 0, '14.90',     '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265860, 5459, 'M', 45, 1, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265861, 5446, 'S', 35, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265862, 5458, 'XL', 60, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265863, 5511, 'XXL', 65, 0, '14.90', '16.50', '29.90', 'TL')";

和正则表达式：

String regex = "new SingleSizeProduct((.*))";

我想分别匹配所有6个组，但是当我匹配模式时，我得到的结果如下：

(
[0] => new SingleSizeProduct(422056, 1265858, 5430, '3XL', 75, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265859, 5341, 'L', 55, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265860, 5459, 'M', 45, 1, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265861, 5446, 'S', 35, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265862, 5458, 'XL', 60, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265863, 5511, 'XXL', 65, 0, '14.90', '16.50', '29.90', 'TL'),
[1] => (422056, 1265858, 5430, '3XL', 75, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265859, 5341, 'L', 55, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265860, 5459, 'M', 45, 1, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265861, 5446, 'S', 35, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265862, 5458, 'XL', 60, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265863, 5511, 'XXL', 65, 0, '14.90', '16.50', '29.90', 'TL'),
[2] => (422056, 1265858, 5430, '3XL', 75, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265859, 5341, 'L', 55, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265860, 5459, 'M', 45, 1, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265861, 5446, 'S', 35, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265862, 5458, 'XL', 60, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265863, 5511, 'XXL', 65, 0, '14.90', '16.50', '29.90', 'TL'),
)

如何分别匹配每个组？

Answer 1

.*贪婪，因此它会尝试找到最大可能的匹配，这意味着(.*)将匹配

abc(foo)def(bar)ghi
    ^^^^^^^^^^^

如果你想让它找到最小可能的匹配

abc(foo)def(bar)ghi
    ^^^     ^^^

通过在{<1}}之后添加*来使?不愿意

String regex = "new SingleSizeProduct((.*?))";

此外，您需要转义(和)，因为您知道它们代表了捕获群组的开始。

String regex = "new SingleSizeProduct\\((.*?)\\)";

顺便说一句。另一种解决方案是使用而不是.*? [^)]*，这意味着除)之外的所有内容

String regex = "new SingleSizeProduct(([^)]*))";

Answer 2

转义文字反斜杠，并使用不情愿 quantifier：

String regex = "new SingleSizeProduct\\((.*?)\\)";

（demo）

Answer 3

您可以在此处使用split，假设您的输入保持不变。

String text    = "new SingleSizeProduct(422056, 1265858, 5430, '3XL', 75, 0, '14.90',     '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265859, 5341, 'L', 55, 0, '14.90',     '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265860, 5459, 'M', 45, 1, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265861, 5446, 'S', 35, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265862, 5458, 'XL', 60, 0, '14.90', '16.50', '29.90', 'TL'),new SingleSizeProduct(422056, 1265863, 5511, 'XXL', 65, 0, '14.90', '16.50', '29.90', 'TL')";
String[] parts = text.split("(?<=\\)),");
System.out.println(Arrays.toString(parts));

结果：

[
 new SingleSizeProduct(422056, 1265858, 5430, '3XL', 75, 0, '14.90',     '16.50', '29.90', 'TL'), 
 new SingleSizeProduct(422056, 1265859, 5341, 'L', 55, 0, '14.90',     '16.50', '29.90', 'TL'), 
 new SingleSizeProduct(422056, 1265860, 5459, 'M', 45, 1, '14.90', '16.50', '29.90', 'TL'), 
 new SingleSizeProduct(422056, 1265861, 5446, 'S', 35, 0, '14.90', '16.50', '29.90', 'TL'), 
 new SingleSizeProduct(422056, 1265862, 5458, 'XL', 60, 0, '14.90', '16.50', '29.90', 'TL'), 
 new SingleSizeProduct(422056, 1265863, 5511, 'XXL', 65, 0, '14.90', '16.50', '29.90', 'TL')
]

Java正则表达式分别匹配每个组

3 个答案: