Do I have to open couchbase port range 21100 to 21199? -


i'm using couchbase lastest version. must open port of range 21100 21199? have problem open port 1 of them?(ex, 21100 port) please me.

yes have open these ports. used erlang inter-nodes communication.


Comments

Post a Comment

Popular posts from this blog

user interface - Python attempting to create a simple gui, getting "AttributeError: 'MainMenu' object has no attribute 'intro_screen'" -

complete newbie here python started learning language few days ago (with no programming experience beforehand). i'm bashing skull against desk here, trying create 1 menu button lead menu, supposed replace/hide/destroy previous menu (either works, long process can reversed). what i've come far: import wx class mainframe(wx.frame): def __init__(self): wx.frame.__init__(self, none) self.centre() self.main_menu = mainmenu(self) self.intro_screen = introscreen(self) self.intro_screen.hide() class mainmenu(wx.frame): def __init__(self, parent): wx.frame.__init__(self, parent=parent) self.main_menu = mainmenu panel = wx.panel(self) sizer = wx.boxsizer(wx.vertical) nextscreen = wx.button(panel, label='next screen', size=(150,30)) nextscreen.bind(wx.evt_button, self.nextscreen) sizer.add(nextscreen, 0, wx.center|wx.all, 5) self.show() self.c...
Read more

java - Multi-Label Document Classification -

i have database in store data based upon following 3 fields: id, text, {labels}. note each text has been assigned more 1 label \ tag \ class. want build model (weka \ rapidminer \ mahout) able recommend \ classify bunch of labels \ tags \ classes given text. i have heard svm , naive bayes classifier, not sure whether support multi-label classification or not. guides me right direction more welcome! the basic multilabel classification method one-vs.-the-rest (ovr), called binary relevance (br). basic idea take off-the-shelf binary classifier, such naive bayes or svm, create k instances of solve k independent classification problems. in python-like pseudocode: for each class k: learner = svm(settings) # example labels = [class_of(x) == k x in samples] learner.learn(samples, labels) then @ prediction time, run each of binary classifiers on sample , collect labels predict positive. (both training , prediction can done in parallel, since problems assumed ...
Read more

php - Dynamic url re-writing using htaccess -

how can rewrite http://mydomain.com/test/master.php?catid=2&subcatid=8 http://mydomain.com/test/master.php/catname/subcat using .htaccess file. once rewritten, how can access these parameters in master.php? note: untested, let me know if doesn't work. rewriterule ^master.php/([a-za-z0-9_-]+)/([a-za-z0-9_-]+)$ /master.php?catid$1&subcatid=$2 [l]
Read more