I'm trying to implement the Ruby Java Bridge (RJB) gem to talk to JVM so that I can run the Open-NLP gem. I have Java installed and running on Windows 8. All indications, at least those I know of, are that Java is installed and operational. But, attempts to use RJB fail with the message "can't create Java VM". (I do sometimes get "undefined method `dlopen' for Fiddle:Module" in other cases, which is also indecipherable.)
I initially just installed JDK per defaults. Due to my 64-bit system, this installed 64-bit Java. I wasn't sure whether or not Ruby and RJB would talk to this, so I installed the 32-bit JRE. However, the error is the same.
Is there any further test I can run to ensure that JVM is working outside of Ruby?
Can someone tell me what I might need to do to run Windows/Ruby/RJB/JVM?
Thanks...
I am running Windows 8 with BitNami Rubystack and Ruby 1.9.3p448.
Java seems to be available according to testjava.jsp:
This is the code, including the URL where I found it:
class FiddleTry
# http://devjete.wordpress.com/2011/01/31/installing-rjb-1-3-4-on-windows-7-32bit-wo-vc/
require 'rjb'
out = Rjb::import('java.lang.System').out <== Line 5 is here
out.print('Hello Rjb from ')
p out._classname
end
Here are the error messages:
C:/Users/Richard/RubymineProjects/Utilities/fiddle_try.rb:5:in `import': can't create Java VM (RuntimeError)
from C:/Users/Richard/RubymineProjects/Utilities/fiddle_try.rb:5:in `<class:FiddleTry>'
from C:/Users/Richard/RubymineProjects/Utilities/fiddle_try.rb:1:in `<top (required)>'
from -e:1:in `load'
from -e:1:in `<main>'
I cannot find any additional information as to why it "can't create Java VM". It would really help if additional information was available to me. I would appreciate either that information or a fix for this. Thanks...
EDIT TO ADD INFORMATION REGARDING OPEN-NLP REQUIREMENT FOR RJB...
This is the code I am trying to run, taken from Github/Open-nlp:
class OpenNlpSample
ENV['JAVA_HOME'] = "C:/Program Files/Java/jdk1.7.0_25" if ENV['JAVA_HOME'].nil?
ENV['LD_LIBRARY_PATH'] = "C:/Program Files/Java/jdk1.7.0_25/bin; C:/Program Files (x86)/Java/jre7" if ENV['LD_LIBRARY_PATH'].nil?
# Load the module
require 'open-nlp'
gem_bin = File.join(Gem.loaded_specs['open-nlp'].full_gem_path, 'bin/')
# Set an alternative path to look for the JAR files.
# Default is gem's bin folder.
# OpenNLP.jar_path = '/path_to_jars/'
# OpenNLP.jar_path = File.expand_path('../../ruby/lib/ruby/gems/1.9.1/gems/open-nlp-0.1.4/bin',__FILE__)
OpenNLP.jar_path = gem_bin
# Set an alternative path to look for the model files.
# Default is gem's bin folder.
# OpenNLP.model_path = '/path_to_models/'
OpenNLP.model_path = gem_bin
# Pass some alternative arguments to the Java VM.
# Default is ['-Xms512M', '-Xmx1024M'].
# OpenNLP.jvm_args = ['-option1', '-option2']
OpenNLP.jvm_args = ['-Xms512M', '-Xmx1024M']
# Redirect VM output to log.txt
OpenNLP.log_file = 'log.txt'
# Set default models for a language.
# OpenNLP.use :language
OpenNLP.use :english
=begin
Examples
Simple tokenizer
=end
OpenNLP.load
sent = "The death of the poet was kept from his poems."
tokenizer = OpenNLP::SimpleTokenizer.new
tokens = tokenizer.tokenize(sent).to_a
# => %w[The death of the poet was kept from his poems .]
#Maximum entropy tokenizer, chunker and POS tagger
OpenNLP.load
chunker = OpenNLP::ChunkerME.new
tokenizer = OpenNLP::TokenizerME.new
tagger = OpenNLP::POSTaggerME.new
sent = "The death of the poet was kept from his poems."
tokens = tokenizer.tokenize(sent).to_a
# => %w[The death of the poet was kept from his poems .]
tags = tagger.tag(tokens).to_a
# => %w[DT NN IN DT NN VBD VBN IN PRP$ NNS .]
chunks = chunker.chunk(tokens, tags).to_a
# => %w[B-NP I-NP B-PP B-NP I-NP B-VP I-VP B-PP B-NP I-NP O]
#Abstract Bottom-Up Parser
OpenNLP.load
sent = "The death of the poet was kept from his poems."
parser = OpenNLP::Parser.new
parse = parser.parse(sent)
parse.get_text.should eql sent
parse.get_span.get_start.should eql 0
parse.get_span.get_end.should eql 46
parse.get_child_count.should eql 1
child = parse.get_children[0]
child.text # => "The death of the poet was kept from his poems."
child.get_child_count # => 3
child.get_head_index #=> 5
child.get_type # => "S"
#Maximum Entropy Name Finder*
OpenNLP.load
text = File.read('./spec/sample.txt').gsub!("\n", "")
tokenizer = OpenNLP::TokenizerME.new
segmenter = OpenNLP::SentenceDetectorME.new
ner_models = ['person', 'time', 'money']
ner_finders = ner_models.map do |model|
OpenNLP::NameFinderME.new("en-ner-#{model}.bin")
end
sentences = segmenter.sent_detect(text)
named_entities = []
sentences.each do |sentence|
tokens = tokenizer.tokenize(sentence)
ner_models.each_with_index do |model,i|
finder = ner_finders[i]
name_spans = finder.find(tokens)
name_spans.each do |name_span|
start = name_span.get_start
stop = name_span.get_end-1
slice = tokens[start..stop].to_a
named_entities << [slice, model]
end
end
end
=begin
Loading specific models
Just pass the name of the model file to the constructor. The gem will search for the file in the OpenNLP.model_path folder.
=end
OpenNLP.load
tokenizer = OpenNLP::TokenizerME.new('en-token.bin')
tagger = OpenNLP::POSTaggerME.new('en-pos-perceptron.bin')
name_finder = OpenNLP::NameFinderME.new('en-ner-person.bin')
# etc.
#Loading specific classes
#You may want to load specific classes from the OpenNLP library that are not loaded by default. The gem provides an API to do this:
# Default base class is opennlp.tools.
OpenNLP.load_class('SomeClassName')
# => OpenNLP::SomeClassName
# Here, we specify another base class.
OpenNLP.load_class('SomeOtherClass', 'opennlp.tools.namefind')
# => OpenNLP::SomeOtherClass
end
At this point in the code:
=begin
Examples
Simple tokenizer
=end
OpenNLP.load
The call chain is to dl.rb, fiddle.rb and jar_loader.rb. jarloader.rb starting line 43:
# Load Rjb and create Java VM.
def self.init_rjb
::Rjb::load(nil, self.jvm_args)
set_java_logging if self.log_file
end
At this point, I get the same error creating JVM. So, I reverted to attempting to run RJB. The error chain is as follows:
Fast Debugger (ruby-debug-ide 0.4.17, ruby-debug-base19x 0.11.30.pre12) listens on 127.0.0.1:59488
Uncaught exception: can't create Java VM
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/jar_loader.rb:45:in `load'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/jar_loader.rb:45:in `init_rjb'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/jar_loader.rb:38:in `load_jar_rjb'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/jar_loader.rb:27:in `load'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/binding.rb:63:in `load_jar'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/binding.rb:71:in `block in load_default_jars'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/binding.rb:68:in `each'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/binding.rb:68:in `load_default_jars'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/bind-it-0.2.7/lib/bind-it/binding.rb:55:in `bind'
D:/BitNami/rubystack-1.9.3-12/ruby/lib/ruby/gems/1.9.1/gems/open-nlp-0.1.4/lib/open-nlp.rb:14:in `load'
C:/Users/Richard/RubymineProjects/Utilities/open_nlp_sample.rb:32:in `<class:OpenNlpSample>'
C:/Users/Richard/RubymineProjects/Utilities/open_nlp_sample.rb:1:in `<top (required)>'
First, I needed to uninstall Java x64 and install JDK x586 for 32-bit support.
Then, set JAVA_HOME
as follows:
JAVA_HOME=C:\Program Files (x86)\Java\jdk1.7.0_40
and add JAVA_HOME
to my path:
%JAVA_HOME%\bin;C:\Program Files (x86)\Java\jre7\bin;
This resolved the "can't create Java VM' problem.
Setting $DEBUG=false
, or commenting out the line, eliminated all other messages. $DEBUG
mode displays error messages that may be caught and resolved so they can be ignored.
After the "can't create Java VM" problem was resolved, all other error messages were of this type and therefore were spurious.
JetBrains support for Rubymine solved this problem for me. They are very good, especially Serge, and I recommend their products because of their support.
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