Golang中的高效日志解析

What would be an efficient (performance and readability) of parsing lines in a log file and extracting points of interest?

For example:

*** Time: 2/1/2019 13:51:00
17.965 Pump 10 hose FF price level 1 limit    0.0000 authorise pending (Type 00)
17.965 Pump 10 State change LOCKED_PSTATE to CALLING_PSTATE [31]
38.791 Pump 10 delivery complete, Hose 1, price 72.9500, level 1, value  100.0000, volume    1.3700, v-total 8650924.3700, m-total 21885705.8800, T13:51:38

Things I need to extract are 10 (for pump 10), Price Level. Limit The _PSTATE changes the values from the delivery completel line etc.

Currently I'm using a regular expression to capture each one and using capture groups. But it feels inefficient and there is quite a bit of duplication.

For example, I have a bunch of these:

reStateChange := regexp.MustCompile(`^(?P<offset>.*) Pump (?P<pump>\d{2}) State change (?P<oldstate>\w+_PSTATE) to (?P<newstate>\w+)_PSTATE`)

Then inside a while loop

if match := reStateChange.FindStringSubmatch(text); len(match) > 0 {
    matched = true
    for i, name := range match {
        result[reStateChange.SubexpNames()[i]] = name
    }
} else if match := otherReMatch.FindStringSubmatch(text); len(match) > 0 {
    matched = true
    for i, name := range match {
        result[reStateChange.SubexpNames()[i]] = name
    }
} else if strings.Contains(text, "*** Time:") {

}

It feels that there could be a much better way to do this. I would trade some performance for readability. The log files are only really 10MB max. Often smaller.

I'm after some suggestions on how to make this better in golang.