我在网上尝试了一些关于ElasticSearch的建议功能的示例代码,但我无法解决我对自动完成解决方案的问题
我的索引:
client.prepareIndex("kodcucom", "article", "1")
.setSource(putJsonDocument("ElasticSearch: Java",
"ElasticSeach provides Java API, thus it executes all operations " +
"asynchronously by using client object..",
new Date(),
new String[]{"elasticsearch"},
"Hüseyin Akdoğan")).execute().actionGet();
我使用了suggestbuilder来获取关键字,然后浏览内容“字段”,这里是由于没有结果而出现空指针异常的地方
CompletionSuggestionBuilder skillNameSuggest = new CompletionSuggestionBuilder("skillNameSuggest");
skillNameSuggest.text("lien");
skillNameSuggest.field("content");
SuggestRequestBuilder suggestRequestBuilder = client.prepareSuggest("kodcucom").addSuggestion(skillNameSuggest);
SuggestResponse suggestResponse = suggestRequestBuilder.execute().actionGet();
Iterator<? extends Suggest.Suggestion.Entry.Option> iterator =
suggestResponse.getSuggest().getSuggestion("skillNameSuggest").iterator().next().getOptions().iterator();
我是否缺少一些过滤器或输入条件才能获得结果?任何结果都应该可以,例如自动完成或找到记录。
编辑1:
这是我获得NPE的地方,我可以看到任何结果都没有从调试模式suggestResponse
返回
Iterator<? extends Suggest.Suggestion.Entry.Option> iterator =
suggestResponse.getSuggest().getSuggestion("skillNameSuggest").iterator().next().getOptions().iterator();
编辑2: 我使用的是2.1.1版本的ElasticSearch Java API
编辑3: 我试图将迭代器行拆分成几个代码块,当将一组数据转换为迭代器时,NPE出现在最后一行,但没有太多帮助
Suggest tempSuggest = suggestResponse.getSuggest();
Suggestion tempSuggestion = tempSuggest.getSuggestion("skillNameSuggest");
Iterator tempIterator = tempSuggestion.iterator();
我看到了代码:
SuggestRequestBuilder suggestRequestBuilder = client.prepareSuggest("kodcucom").addSuggestion(skillNameSuggest);
SuggestResponse suggestResponse = suggestRequestBuilder.execute().actionGet();
已经包含一个空数组/数据集,我是否错误地使用了建议请求构建器?
答案 0 :(得分:4)
为了使用完成功能,您需要专用一个字段,称为完成,您必须为其指定特殊映射。
例如:
"mappings": {
"article": {
"properties": {
"content": {
"type": "string"
},
"completion_suggest": {
"type": "completion"}
}
}
}
completion_suggest字段是我们将用于上述代码示例中的自动完成功能的字段。在映射定义之后,数据必须索引如下:
curl -XPOST localhost:9200/kodcucom/article/1 -d '{
"content": "elasticsearch",
"completion_suggest": {
"input": [ "es", "elastic", "elasticsearch" ],
"output": "ElasticSearch"
}
}'
然后可以使用Java API获取建议:
CompletionSuggestionBuilder skillNameSuggest = new CompletionSuggestionBuilder("complete");
skillNameSuggest.text("es");
skillNameSuggest.field("completion_suggest");
SearchResponse searchResponse = client.prepareSearch("kodcucom")
.setTypes("article")
.setQuery(QueryBuilders.matchAllQuery())
.addSuggestion(skillNameSuggest)
.execute().actionGet();
CompletionSuggestion compSuggestion = searchResponse.getSuggest().getSuggestion("complete");
List<CompletionSuggestion.Entry> entryList = compSuggestion.getEntries();
if(entryList != null) {
CompletionSuggestion.Entry entry = entryList.get(0);
List<CompletionSuggestion.Entry.Option> options =entry.getOptions();
if(options != null) {
CompletionSuggestion.Entry.Option option = options.get(0);
System.out.println(option.getText().string());
}
}
答案 1 :(得分:0)
以下链接为您提供了有关如何创建建议者索引的详细信息。 https://www.elastic.co/blog/you-complete-me
现在,我使用异步Suggestionbuilder Java API根据术语生成建议。
SearchRequestBuilder suggestionsExtractor = elasticsearchService.suggestionsExtractor("yourIndexName", "yourIndexType//not necessary", "name_suggest", term);
System.out.println(suggestionsExtractor);
Map<String,Object> suggestionMap = new HashMap<>();
suggestionsExtractor.execute(new ActionListener<SearchResponse>() {
@Override
public void onResponse(SearchResponse searchResponse) {
if(searchResponse.status().equals(RestStatus.OK)) {
searchResponse.getSuggest().getSuggestion("productsearch").getEntries().forEach(e -> {
e.getOptions().forEach(s -> {
ArrayList<Object> contents = new ArrayList<>();
suggestionMap.put(s.getText().string(), s.getScore());
});
});
}
}
@Override
public void onFailure(Exception e) {
Helper.sendErrorResponse(routingContext,new JsonObject().put("details","internal server error"));
e.printStackTrace();
}
});
以下是如何创建suggestionbuilder。
public SearchRequestBuilder suggestionsExtractor(String indexName, String typeName, String field, String term) {
CompletionSuggestionBuilder csb = SuggestBuilders.completionSuggestion(field).text(term);
SearchRequestBuilder suggestBuilder = client.prepareSearch()
.suggest(new SuggestBuilder().addSuggestion(indexName, csb));
return suggestBuilder;
}