Thanks, Bridger! `file:write-text-lines` seems to be the issue. For example, this query doesn’t run in parallel.
Is this expected behavior?
declare variable $PATH := "";
xquery:fork-join(
for $_ in (1 to 8)
return fn() {
file:write-text-lines(
$PATH||$_||".json",
for $i in (1 to 1000000)
return
serialize(
<fn:map>
<fn:string key="n">{$i}</fn:string>
</fn:map>, {"method": "json", "escape-solidus": "no", "json": {
"format": "basic", "indent": "no"
}}
)
)
},
{ "parallel": "8"}
)
From:
Bridger Dyson-Smith <bdysonsmith@gmail.com>
Date: Wednesday, October 2, 2024 at 1:05 PM
To: Thompson, Timothy <timothy.thompson@yale.edu>
Cc: BaseX <basex-talk@mailman.uni-konstanz.de>
Subject: Re: [basex-talk] Write files in parallel?
hi Tim - hope you are well.
In the past (i.e. I don't remember exactly if this was perfectly parallel, it was just "parallel enough"), I have used something like the following for web requests:
xquery:fork-join(
for $xml in ('calq.xqm','factbook.xml','filesystem.xml','locations.xml','wiki1.zip', 'wiki2.zip','xmark.xml')
let $url := 'https://files.basex.org/xml/'
return fn() {
file:write(
'/tmp/fork-test/' || $xml,
http:send-request(
<http:request method='get'/>,
$url || $xml
)
)
},
map { 'parallel': '3'}
)
Hopefully that's helpful (and apologies to the BaseX team's file server)!
) ls -l --time-style=full-iso
total 11640
-rw-r--r-- 1 bridger bridger 1593 2024-10-02 17:02:51.321251082 +0000 calq.xqm
-rw-r--r-- 1 bridger bridger 1763070 2024-10-02 17:02:52.301261520 +0000 factbook.xml
-rw-r--r-- 1 bridger bridger 2770290 2024-10-02 17:02:53.331272491 +0000 filesystem.xml
-rw-r--r-- 1 bridger bridger 1566322 2024-10-02 17:02:52.497263608 +0000 locations.xml
-rw-r--r-- 1 bridger bridger 512686 2024-10-02 17:02:52.670265451 +0000 wiki1.zip
-rw-r--r-- 1 bridger bridger 5133340 2024-10-02 17:02:54.046280106 +0000 wiki2.zip
-rw-r--r-- 1 bridger bridger 155448 2024-10-02 17:02:52.859267464 +0000 xmark.xml
Hello,
Is it possible to call file:write-text-lines in parallel inside a fork-join operation? I have multiple databases that I would like
to run a query over, in parallel, and write the results as JSON Lines to a file per database. When I try this, it doesn’t seem to parallelize.
Thanks in advance,
Tim
--
Tim A. Thompson (he, him)
Librarian for Applied Metadata Research
Interim Manager, Metadata Services Unit
Yale University Library
www.linkedin.com/in/timathompson