Hello Nik.
Thanks for your advice.
I had just tried as you advice. But, I met an error as following.
"error": "IndexCreationException[[search] failed to create index]; nested:
CreationException[Guice creation errors:\n\n1) Could not find a suitable
constructor in org.apache.lucene.analysis.th.ThaiWordFilterFactory. Classes
must have either one (and only one) constructor annotated with @Inject or a
zero-argument constructor that is not private.\n at
org.apache.lucene.analysis.th.ThaiWordFilterFactory.class(Unknown Source)\n
at
org.elasticsearch.index.analysis.TokenFilterFactoryFactory.create(Unknown
Source)\n at
org.elasticsearch.common.inject.assistedinject.FactoryProvider2.initialize(Unknown
Source)\n at _unknown_\n\n1 error]; ",
In my opnion, this error raises by ThaiWordFilterFactory which has`t a
zeo-argument constructor. In fact, the ThaiWordFilterFactory has only a
following constructor.
/** Creates a new ThaiWordFilterFactory */
public ThaiWordFilterFactory(Map<String,String> args) {
super(args);
assureMatchVersion();
if (!args.isEmpty()) {
throw new IllegalArgumentException("Unknown parameters: " + args);
}
}
If you don`t mind, I have an one more question. Can I define a constructor
argument in above settings JSON.
2014년 2월 7일 금요일 오후 11시 17분 59초 UTC+9, Nikolas Everett 님의 말:
>
> If you don't like the language analyzer you have to rebuild it as a custom
> analyzer then add what you need to it.
>
> {
> "analyzer": {
> "thai_with_ngram": {
> "type": "custom",
> "tokenizer": "standard",
> "filters": ["standard", "lowercase", "thai", "thai_stop", "ngram"]
> }
> },
> "filter": {
> "thai": {
> "type": "org.apache.lucene.analysis.th.ThaiWordFilterFactory"
> },
> "thai_stop": {
> "type": "stop",
> "stopwords_path": "org/apache/lucene/analysis/th/stopwords.txt"
> },
> "ngram": { your ngram configuration here }
> }
> }
>
> Builds it with your ngram configuration. I think. I'm taking quite a few
> educated guesses here so I expect you to have to fiddle with it to get it
> right.
>
> How I did this:
> 1. Open the class called ThaiAnalyzer in the Lucene version Elasticsearch
> is using and find the method called createComponents. For me this is
> simple because I have Elasticsearch open in Eclipse.
> 2. That method defines the tokenizer (standard) and some filters
> (standard, lowercase, ThaiWordFilter, and stop. You have to be able to
> translate the class names to Elasticsearch's easier names to get this to
> work properly.
> 3. Now build it as a custom filter with your extra filter in there. That
> is "thai_with_ngram" above.
> 4. Next you'll need to define all the filters that don't exist by default
> in Elasticsearch. In this case that is thai, thai_stop, and your ngram
> filter. In order:
> 5. The thai filter doesn't have an easy Elasticsearch mapping so you have
> to tell Elasticsearch the class name to load. That class doesn't take an
> configuration so we're done.
> 6. The thai_stop filter is just a regular stop word filter with thai stop
> words. But Elasticserach doesn't have an easy name to reference the thai
> stop words file. That isn't too bad, as you can load the stopwords file
> from the classepath. It lives in Lucene at the path I added above.
> 7. The ngram filter is yours to build but it is well documented.
>
> That took longer then I expected but it was worth the exercise so I'll
> remember how to do it again when I need it. For reference, I do it for
> English which has more filters but they all have easy names.
>
> Nik
>
>
> On Fri, Feb 7, 2014 at 12:59 AM, Min Cha <[email protected]
> <javascript:>>wrote:
>
>> Hi folks.
>>
>> I would like to develop for a searching system for Thai language.
>> First of all, I found Thai analyzer and it seemed like good.
>>
>> Actually, but, It doesn`t meet my whole requirement.
>> I decided what extends it.
>> For example, I would like to add nGram token filter on the Thai analyzer
>> without any changes on it.
>>
>> How to do this?
>> Please, give me some advice.
>>
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>
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