search-suggestion

I am using elastic 5.1.1 in my environment. I have chosen completion suggester on a field name post_hashtags with an array of strings to have suggestion on it. I am getting response as below for prefix "inv" Req: POST hashtag/_search?pretty&&filter_path=suggest.hash-suggest.options.text,suggest.hash-suggest.options._source {"_source":["post_hashtags" ], "suggest": { "hash-suggest" : { "prefix" : "inv", "completion" : { "field" : "post_hashtags" } } } Response : { "suggest": { "hash-suggest": [ { "options": [ { "text": "invalid", "_source": { "post_hashtags": [ "invalid" ] } }, { "text":

I am very new to using SearchView . I need a functionality where I have an ActionBar for which I have Search . When I click on Search, the Suggestions should be displayed in a List below the Search field. What I have done so far : Added search in menu.xml and wrote the code in onCreateOptionsMenu() where I initialize the SearchView and setSuggestionsAdapter also implement setOnQueryTextListener . Result: I enter the app, click on search Icon, it shows the suggestions. I type a letter it sorts out the matched ones. I type 2nd letter it shows no suggestions. Also I close the searchview and open

I have created indices on daily basis to store the search history and i am using those indices for the suggestions in my applciation, which helps me to suggest based on history as well. now i have to maintain only last 10 days of history. So is there any feature in Elastic search that allows me to create and delete indices periodically? The only thing I can think of is using data math: https://www.elastic.co/guide/en/elasticsearch/reference/current/date-math-index-names.html In sense you can do this: DELETE <logs-{now%2Fd-10d}> This does not work nice in curl though due to url encoding. You

I have created a searchable activity. Now, i want to add search suggestions that are taken from web service. I want to get those suggestions asynchronously. According to Adding Custom Suggestions I need to override the query method, do my suggestion search, build my own MatrixCursor and return it. but this is the problem, my request for getting the suggestion is an asynchronically one. so when result is back from net it out side of query method's scope. Here is an example of SearchView with suggestions coming from a network service (I used Retrofit): @Override public boolean

I have a working search widget and want to add search history suggestions. I followed the Android tutorial ( http://developer.android.com/guide/topics/search/adding-recent-query-suggestions.html ), and while the search still works, no suggestions are being displayed. Here is my code: Content provider package com.mypackage; import android.content.SearchRecentSuggestionsProvider; public class SearchHistoryProvider extends SearchRecentSuggestionsProvider { public final static String AUTHORITY = SearchHistoryProvider.class.getName(); public final static int MODE = DATABASE_MODE_QUERIES; public

Using the Elasticsearch completion suggester I have problems returning multi-word input suggestions matching a one-word query. Example structure: PUT /test_index/ { "mappings": { "item": { "properties": { "test_suggest": { "type": "completion", "index_analyzer": "whitespace", "search_analyzer": "whitespace", "payloads": false } } } } } PUT /test_index/item/1 { "test_suggest": { "input": [ "cat dog", "elephant" ] } } Working query: POST /test_index/_suggest { "test_suggest":{ "text":"cat", "completion": { "field" : "test_suggest" } } } with result { "_shards": { "total": 5, "successful": 5,

I've been following along with the directions here for both SearchView and dialog implementations. Both are visible below. There are many questions on SO that focus on customizing the search box, but few that are about customizing the UI of the suggestions. (The ones that do are about color/font, the defaults for which are fine for me.) I would like to be able to widen the suggestions to take up the whole width of the screen. Is there any way to customize the width using either dialog or SearchView implementations. I'd prefer not to use a library unless that is the only option. If this is

I'm trying to come up with the fastest way to make search suggestions. At first I thought a Levenstein UDF function combined with a mysql table would do the job. But using levenshtein, mysql would have to go over every row in the table (tons of words) which would make the query really slow. Now I recently installed and started to use Sphinx (http://sphinxsearch.com/) for fulltext searching mainly because of its performance and tight mysql integration with SphinxSE. So I asked myself if I can implement a "did you mean" algorithm using sphinx to boost performance somehow, and I think I found a