I am using XQuery/BaseX to look through large XML files to find historical data for some counters. All the files are zipped and stored somewhere on drive. The important part of file looks as follows:
<measInfo xmlns="http://www.hehe.org/foo/" measInfoId="uplink speed">
<granPeriod duration="DS222S" endTime="2020-09-03T08:15:00+02:00"/>
<repPeriod duration="DS222S"/>
<measTypes>AFD123 AFD124 AFD125 AFD156</measTypes>
<measValue measObjLdn="PLDS-PLDS/STBHG-532632">
<measResults>23 42 12 43</measResults>
</measValue>
</measInfo>
I built the following query:
declare default element namespace "http://www.hehe.org/foo/";
let $sought := ["AFD124", "AFD125"]
let $datasource := collection("C:\Users\Patryk\Desktop\folderwitharchives")
let $filename := concat(convert:dateTime-to-integer(current-dateTime()), ".xml")
for $meas in $datasource/measCollecFile/measData/measInfo return
for $measType at $i in $meas/tokenize(measTypes)[. = $sought] return
file:append($filename,
<meas
measInfoId="{data($meas/@measInfoId)}"
measObjLdn="{data($meas/measValue/@measObjLdn)}"
>
{$meas/granPeriod}
{$meas/repPeriod}
<measType>{$measType}</measType>
<measValue>{$meas/measValue/tokenize(measResults, " ")[$i]}</measValue>
</meas>)
The script works, but it takes a lot of time for some counters (measType). I read the documentation about indexing, and my idea is to somehow index all the measTypes (parts of the string), so that once I need to look through the whole archive looking for a counter, it can be quickly accessed. I am not sure if it is possible when operating directly on archives? Would I have to create a new database of them? I would prefer not to, due to the size of files. How to create indexes for such case?
tokenizecall. A small improvement might result from simply using a sequencelet $sought := (AFD124", "AFD125")instead of the array inlet $sought := ["AFD124", "AFD125"]as that way the. = $soughtdoesn't have to flatten an array each time a comparison is done. I have not tested whether that performs better, however. - Martin Honnen