What causes svn error 413 Request Entity Too Large

2019-01-07 12:46发布

问题:

On occasion I receive an error "413 Request Entity Too Large" while updating an svn repository. Once I receive this error, it continues every time I attempt to update the local working copy. A new checkout will solve the problem, but is very inconvenient. The project is over 30 GB, and the SVN repository is hosted externally.

This has occurred in the past on several different computers, including Windows development machines, and our Linux build server.

Most of what I have found regarding this issue relates to large individual files (over 2GB). This is not the case here, as the largest files are approx. 50-60 MB.

Has anyone else ran into this before and/or know the cause/solution to this?

回答1:

Try to add the following configuration directives to your Apache configuration file:

LimitXMLRequestBody 8000000
LimitRequestBody 0


回答2:

I don't have access to my repo server (IT Managed, and its over the weekend). So what I found was that I could work around this issue by doing an svn update on subdirs until one wouldn't work. Then I descended into this dir until I stopped getting the 413 error. Then I could do an update at higher levels. Might not work for everyone but could help get through in an emergency



回答3:

Made a short bash script to loop through the subdirectories, per mdh's answer:

for dir in *; do
    [[ -e $dir ]] || continue
    echo "Updating $dir"
    svn up $dir
done
svn up


回答4:

I had this issue recently with any file over 10MB. It turns out I forgot I'm proxying the svn/apache server with nginx. Changing client_max_body_size in nginx.conf fixed the issue. I left LimitXMLRequestBody and LimitRequestBody on the Apache server at their defaults.



回答5:

Also, if you run mod_security, consider checking your SecRequestBodyLimit setting. Mine was set too low and was causing the problem.



回答6:

See also: RequestReadTimeout, which limits time to read headers and body http://httpd.apache.org/docs/2.2/mod/mod_reqtimeout.html



标签: svn