similar to: performance bottleneck

Hello, I''m a new user of Ferret, so this might be a silly question. I was wondering, where can I find details about search memory usage? I read the O''Reilly booklet + googled but couldn''t find much info. There is a good explanation of how memory is used at indexing time [bound by, amongst other things, :max_buffer_memory and :max_buffered_docs]. But how does it work

Is there a way to add per-field analyzer? I can''t seem to find a way to do that. Thanks -- Kent --- http://www.datanoise.com

Hi Dave ( again ! ) I''ve been searching for a while into my extension code to understand what was the matter, and Florent Solt who hasn''t got my extension has the same problem, so it figured to be a ferret problem.. Unfortunately, we''re unable at the moment to reproduce it in a little code so you could debug easilier... I''m working on it. Heres the issue :

http://www.youtube.com/watch?v=BcwieeBEySc My performance doesn't even come close to this even at low resolution and overclocked, and I have the 512Mb version of this card, this guy has the 256mb version and I have the same settings, i've seen people run some really high-end games on this like crysis at decent settings, (not high just decent). Does wine actually bottleneck performance on

Hi, On Fri, 19 Jul 2019 23:26:55 +0000, douxevip wrote: > So to summarize, this is the situation: > > 1) I run a fio benchmark requesting, small, random, async writes. Command is "fio --direct=1 --sync=0 --rw=randwrite --bs=4K --numjobs=1 --iodepth=1 --runtime=60 --group_reporting --name=sambatest --size=32k --time_based". I run this command on both the host, as on the Samba

hi guys/gals I realize that this question must have been asked before, I sroogled and found some posts on the web on how to tweak/tune gluster, however.. What I hope is that some experts and/or devel could write a bit more, maybe compose a doc on - How to investigate and trouble gluster's speed-performance bottleneck. Why I think such a thorough guide would be important? Well.. I guess

Hi. Sometimes I see much contention in smp_tlb_shootdown while running sysbench: sysbench --test=fileio --num-threads=8 --file-test-mode=rndrd --file-total-size=3G run kern.smp.cpus: 8 FreeBSD 7.1-R CPU: 0.8% user, 0.0% nice, 93.8% system, 0.0% interrupt, 5.4% idle Mem: 11M Active, 2873M Inact, 282M Wired, 8K Cache, 214M Buf, 765M Free Swap: 4096M Total, 4096M Free PID USERNAME PRI NICE

Hi David, > You're still using direct I/O with fio, which will likely disallow > client side caching with oplocks/leases. Is there a way to bypass this with settings in smb.conf at all and transform all writes to async? > I'd recommend checking that your (cifs.ko?) client is using a relatively > modern SMB2+ dialect and that leases are enabled on both sides. Yes, I

Hi, On Thu, 18 Jul 2019 19:04:47 +0000, douxevip via samba wrote: > Hi, > > I have a ZFS dataset that has sync writes disabled (setting sync=disabled) which means that it will only do async writes, and sync requests get converted to async writes. The ZFS dataset is hosted on a single Samsung 840 Pro 512GB SATA SSD. > I have this same dataset served as a Samba share, using Proxmox VE

Good Day Everybody, I am in the process of planning a phone system for a small business (15 extensions - 4 PSTN lines [to be connected by ATAs]). The plan is to install an IP Phone everywhere there is an existing computer workstation - using the same LAN for phones and computers. The layout involves workstations connected to two switches (the unmanaged 'dumb' type) and the switches

Hi list ! We have a very busy webserver hosted in a clustered environment where the document root and data is on a GFS2 partition off a fiber-attached disk array. Now on busy moments, I can see in htop, nmon that there is a fair percentage of cpu that is waiting for I/O. In nmon, I can spot that the most busy block device correspond to our gfs2 partition where many times, it shows that

Hello, I'm planning to use rsync for backup a lot of nodes to one rsync server over wan. I'm aware of the fact that on big directory tree rsync will consume a lot of memory and some time even hang. Do you have any estimation on how many rsync client can work with one server at the same time ? I can control each client bandwidth. What will be the bottleneck on the server resource ? Is

Hi! I wanted to build my own custom Analyzer like so: class Analyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, string) StopFilter.new(LetterTokenizer.new(string, true), @stop_words) end end As one can easily spot, I essentially want

I'm trying to get my network setup as streamlined as possible. I ran a brain-dead-simple speed test of Samba and I'm very confused by the results. Here's my setup: Fast new WinXP Pro machine NetGear GA311 gigabit ethernet ^ | dedicated gigabit ethernet line (no switch) v RTL8169 gigabit ethernet Relatively fast new Debian Linux machine I set up ramdisks on both

The performance of WineD3D depends on the application and display drivers. It is hard to say where we are losing the performance and whether it is WineD3D which has to be blamed. To find out where the performance is lost you need to profile the app using e.g. sysprof or oprofile. Then you can see where the time is spent. Typically we don't spend a lot of time in Wine code but outside Wine in

I''m running Ferret 0.9.5 on a MacBook Pro (OS X 10.4.7) under Locomotive 2.0.7. I have a problem where Ferret is hanging when I try to add items to the index. It doesn''t happen with every object that''s being indexed, and I''m not sure what the objects in question have in common (they are not all instances of the same ActiveRecord object). The process

I'm running rsync via ssh on two machines connected with 100 Mbit/s Ethernet cards (at high speed) via a Linksys switch. It's all right here in a single closet. I'm sending large files (initial transfer, nothing preexists on the destination machine) and seeing transfer rates in the 2 Mbit/s range. The CPUs on both machines are more than 90% idle, and I upped the --block-size to 256

Hi all, I have the following inside of an AR class definition: relationships=ActiveRecord::Base.connection.select_all(my_relationships_sql) relationships.each do |relationship| has_many RelatedItems, :class_name => relationship[''RelatedClass''], :foreign_key => relationship[''ForeignKey''] end This kind of works, but how can I assign the name of the

Hi everyone, I''m doing some networking experiments over high BDP topologies. Right now the configuration is quite simple -- two Xen boxes connected via a dummynet router. The dummynet router is set to limit bandwidth to 500Mbps and simulate an RTT of 80ms. I''m using the following sysctl values: net.ipv4.tcp_rmem = 4096 87380 4194304 net.ipv4.tcp_wmem = 4096

Is there any scalable alternative to iterating all the records of a certain model? #find_all seems to load everything into memory. With 500.000 records it will be a swap storm. Pedro.