![]() ![]() ![]() That said, any insights into why this would happen when using a solr service may also help to solve this problem. Of course, wether or not they were specific to solr. Open a terminal windows and execute the following. Some side details : I'm running several hundreds of queries into a SOLR server that has over 100GB of data in a short time period.Īny hints on how to determine why my sshd mac os x terminal is dying and infinitely printing this message would be potentially very useful to me. Mac SSH error Problem seen after upgrading macOSX to Sierra, where Open SSH Version 7 stops you. I did the same test on my client, and found no significant increase in the number of open files. and found that the max number of open files allowed (on the aws server) was well above the amount of open files (also determined using ulimit) at any given time while the client program (running from my ide) is executing. To test which of the two machines was causing the infinite print outs of the error, I ran the ulimit command on the server. I want to find the cause of this behavior and pinpoint the machine which is causing my terminal to explode just unpridled, relentless print statements) I cant tell wether it's coming from amazon, or from my client terminal. I can't tell wether the ssh connection is still alive or not, and there is no text indicating which shell im in. where I have started my ssh tunnel) goes completely frozen, filling up with the String :īecause this infinite print is not associated with a bash terminal (i.e. The code initially runs great getting data as necessary, but after running for a while, the code stalls (in eclipse).Īt this exact moment, the terminal (i.e. SSH agent allows a user to enter their passphrase (s) for unlocking various SSH keys once at the start of a session to unlock the keys and from then on for the duration of the session the user no longer has to enter the pass phrase (s). I have some code that runs several rest queries over a connection that is ssh forwarded to an AWS machine (fyi: these queries are hitting a Solr server running on this machine), and the queries run against my localhost (which is forwarded to the AWS instance).
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February 2023
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