powered by Jive Software

Unable to send file via Spark from Ubuntu

#1 Server Information, where Openfire 4.3.2 installed:

==================

Server Properties

Server Uptime: 2 days, 16 hours, 10 minutes – started Jul 10, 2019 1:31:33 AM

Version : Openfire 4.3.2

Server Directory : C:\Program Files\Openfire

XMPP Domain Name : sparkserver

Environment

Java Version : 1.8.0_202 Oracle Corporation – Java HotSpot™ 64-Bit Server VM

Appserver : jetty/9.4.12.v20180830

Server Host Name (FQDN) : sparkserver

OS / Hardware : Windows Server 2012 / amd64

Locale / Timezone : en / India Standard Time (5 GMT)

OS Process Owner : FILESERVER$

Java Memory : 78.96 MB of 871.50 MB (9.1%) used

==================

#2 Client Information:

OS: Ubuntu GNOME 18.04


$ java -version

openjdk version “11.0.3” 2019-04-16

OpenJDK Runtime Environment (build 11.0.3+7-Ubuntu-1ubuntu218.04.1)

OpenJDK 64-Bit Server VM (build 11.0.3+7-Ubuntu-1ubuntu218.04.1, mixed mode, sharing)


Spark Client Version: 2.8.2

===================

We are using Openfire Spark chat in our office, total Spark user almost 50. Till now we have no problem to communicating with sending/receiving for text messages or file transferring through Spark 2.8.3 in Windows7/8/10.

Now an Ubuntu (#2) user joined in our office and he is unable to send file to any users but he is able to receive file from any users. Also Ubuntu user able to send and receive text messages without any issue.

If anyone can suggest me how can I resolve this issue that would be great help. Thanks in advance.

File transfer is degraded in 2.8 versions. It works in the same subnet usually, but not with different subnets or some other more complex configuration. Maybe that Ubuntu user is on other subnet. You can try 2.7.7 version on Ubuntu and on one Windows machine and see if you can send files back and forth. https://github.com/igniterealtime/Spark/releases/tag/v2.7.7

Hello Wroot,

Thank you for the update.

We are using same subnet in our office network. How ever as per your suggestion we will try to use Spark 2.7 and update you with the result.

Thank you !