我有一个包含多行字符串的日志文件。每个日志条目将以此格式2016/07/15 14:20:57:642的日期和时间开头。是否可以使用正则表达式在此日期时间之间提取所有内容？
2016/07/15 14:20:57:642 Log info
2016/07/15 14:22:37:213 Log info
2016/07/15 14:34:41:286 Log info
2016/07/15 14:44:09:618 Log info
2016/07/15 15:02:40:539 Log info
2016/07/15 15:02:40:700 Uploading Activities <KBDailyDataCollection: 0x7fbe7c9b4af0> {
data = (
);
}
2016/07/15 15:02:40:709 Uploading Activities <KBDailyDataCollection: 0x7fbe7c8a48e0> {
data = (
);
}
2016/07/15 15:02:40:710 Uploading Activities <KBDailyDataCollection: 0x7fbe7c9c10c0> {
data = (
);
}
2016/07/15 15:02:40:713 Uploading Activities <KBDailyDataCollection: 0x7fbe7c87f540> {
data = (
);
}
2016/07/15 15:02:48:277 Uploading Activities <KBDailyDataCollection: 0x7fbe7c8d3e80> {
data = (
);
}
2016/07/15 15:04:57:072 Log info
2016/07/15 15:04:57:216 Uploading Activities <KBDailyDataCollection: 0x7f95d2df0e60> {
data = (
);
}
2016/07/15 15:04:57:219 Uploading Activities <KBDailyDataCollection: 0x7f95d2f235d0> {
data = (
);
}
2016/07/15 15:04:57:221 Uploading Activities <KBDailyDataCollection: 0x7f95d51b6520> {
data = (
);
}
2016/07/15 15:04:57:225 Uploading Activities <KBDailyDataCollection: 0x7f95d2f4a950> {
data = (
);
}
2016/07/15 15:29:50:543 Log info
2016/07/15 15:29:50:721 Uploading Activities <KBDailyDataCollection: 0x7ff6e6158be0> {
data = (
);
}
2016/07/15 15:29:50:725 Uploading Activities <KBDailyDataCollection: 0x7ff6e60ae2f0> {
data = (
);
}
2016/07/15 15:29:50:728 Uploading Activities <KBDailyDataCollection: 0x7ff6e60b1790> {
data = (
);
}
2016/07/15 15:29:50:732 Uploading Activities <KBDailyDataCollection: 0x7ff6e6180b50> {
data = (
);
}
2016/07/15 15:33:34:046 Uploading Activities <KBDailyDataCollection: 0x7ff6e3da5840> {
data = (
);
}
2016/07/15 15:33:41:379 Uploading Activities <KBDailyDataCollection: 0x7ff6e6188340> {
data = (
);
}
2016/07/15 15:34:13:570 Log info
2016/07/15 15:34:13:764 Uploading Activities <KBDailyDataCollection: 0x7fa3c399ac40> {
data = (
);
}
2016/07/15 15:34:13:765 Uploading Activities <KBDailyDataCollection: 0x7fa3c38bc710> {
data = (
);
}
2016/07/15 15:34:13:766 Uploading Activities <KBDailyDataCollection: 0x7fa3c39a81f0> {
data = (
);
}
2016/07/15 15:34:13:767 Uploading Activities <KBDailyDataCollection: 0x7fa3c3999d70> {
data = (
);
}
2016/07/15 15:36:04:247 Log info
2016/07/15 15:36:04:462 Uploading Activities <KBDailyDataCollection: 0x7fa4c8c11030> {
data = (
);
}
2016/07/15 15:36:04:466 Uploading Activities <KBDailyDataCollection: 0x7fa4cb04b220> {
data = (
);
}
2016/07/15 15:36:04:477 Uploading Activities <KBDailyDataCollection: 0x7fa4c8f6cab0> {
data = (
);
}
2016/07/15 15:36:04:484 Uploading Activities <KBDailyDataCollection: 0x7fa4cb121d00> {
data = (
);
}
2016/07/15 15:41:32:582 Uploading Activities <KBDailyDataCollection: 0x7fa4cb06f160> {
data = (
);
}
2016/07/15 15:45:51:920 Log info
2016/07/15 15:45:52:119 Uploading Activities <KBDailyDataCollection: 0x7fefcb417a00> {
data = (
);
}
2016/07/15 15:45:52:121 Uploading Activities <KBDailyDataCollection: 0x7fefcd977670> {
data = (
);
}
2016/07/15 15:45:52:122 Uploading Activities <KBDailyDataCollection: 0x7fefcda09060> {
data = (
);
}
2016/07/15 15:45:52:125 Uploading Activities <KBDailyDataCollection: 0x7fefcb6995b0> {
data = (
);
}
2016/07/15 15:45:56:136 Uploading Activities <KBDailyDataCollection: 0x7fefcb7f79e0> {
data = (
);
}
2016/07/15 15:47:01:250 Log info
2016/07/15 15:47:01:449 Uploading Activities <KBDailyDataCollection: 0x7ff82acb6f90> {
data = (
);
}
2016/07/15 15:47:01:451 Uploading Activities <KBDailyDataCollection: 0x7ff82d196ad0> {
data = (
);
}
2016/07/15 15:47:01:454 Uploading Activities <KBDailyDataCollection: 0x7ff82ac32000> {
data = (
);
}
2016/07/15 15:47:01:456 Uploading Activities <KBDailyDataCollection: 0x7ff82afde380> {
data = (
);
}
2016/07/15 15:47:48:261 Log info
2016/07/15 15:47:48:524 Uploading Activities <KBDailyDataCollection: 0x7fc2bd0722c0> {
data = (
);
}
2016/07/15 15:47:48:529 Uploading Activities <KBDailyDataCollection: 0x7fc2bad2edf0> {
data = (
);
}
2016/07/15 15:47:48:533 Uploading Activities <KBDailyDataCollection: 0x7fc2bae7a540> {
data = (
);
}
2016/07/15 15:47:48:539 Uploading Activities <KBDailyDataCollection: 0x7fc2bd0dfd00> {
data = (
);
}
2016/07/15 15:49:01:597 Log info
2016/07/15 15:49:01:811 Uploading Activities <KBDailyDataCollection: 0x7ff2305cb860> {
data = (
);
}
2016/07/15 15:49:01:812 Uploading Activities <KBDailyDataCollection: 0x7ff2328ba5b0> {
data = (
);
}
2016/07/15 15:49:01:815 Uploading Activities <KBDailyDataCollection: 0x7ff23289d870> {
data = (
);
}
2016/07/15 15:49:01:817 Uploading Activities <KBDailyDataCollection: 0x7ff2304a6880> {
data = (
);
}
2016/07/15 15:50:32:141 Log info
2016/07/15 15:50:32:285 Uploading Activities <KBDailyDataCollection: 0x7f8eb8426e70> {
data = (
);
}
2016/07/15 15:50:32:287 Uploading Activities <KBDailyDataCollection: 0x7f8eba898f40> {
data = (
);
}
2016/07/15 15:50:32:291 Uploading Activities <KBDailyDataCollection: 0x7f8ebaa48be0> {
data = (
);
}
2016/07/15 15:50:32:294 Uploading Activities <KBDailyDataCollection: 0x7f8eb8537090> {
data = (
);
}
2016/07/15 15:54:32:171 Uploading Activities <KBDailyDataCollection: 0x7f8eba9c4980> {
data = (
);
}
结果将类似于这些匹配
Log info
Log info
Log info
Log info
Log info
Uploading Activities <KBDailyDataCollection: 0x7fbe7c9b4af0> {
data = (
);
}
到目前为止进展尚未奏效。
([0-9]{4}\/[0-9]{2}\/[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}:[0-9]{3})([\s\S]*?)([0-9]{4}\/[0-9]{2}\/[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}:[0-9]{3})
答案 0 :(得分：0)
例如，您可以使用RegExr以交互方式获取所需的表达式，然后在启用多行模式的情况下执行字符串替换，以过滤掉您不需要的日期：
next_sibling(name)\ d表示数字。 {n}表示应该有n个匹配。