elasticsearch search performance

complex queries, such as to find a field must have a value, and another field must have another value, this time can use BOOL query, such as the following[Java]View PlainCopy Responsebuilder.setquery (Querybuilders.boolquery (). Must (Querybuilders.multimatchquery (query, "name"," Title "," Title_1 ")). Must (Querybuilders.multimatchquery (Query2, " Title2 "," Title3 " ))) The above means that there is a query in the title or Title_1 or Name field, and there is a query2 result

query, such as the following[Java]View PlainCopy Responsebuilder.setquery (Querybuilders.boolquery (). Must (Querybuilders.multimatchquery (query, "name"," Title "," Title_1 ")). Must (Querybuilders.multimatchquery (Query2, " Title2 "," Title3 " ))) The above means that there is a query in the title or Title_1 or Name field, and there is a query2 result recall in the Title2 or Title3 fieldOf course, according to their own situation, there are should,must_not and other optionsFi

Elasticsearch index optimization mainly solves the problem from two aspects: the index data process and the retrieval process. I have mentioned how to create indexes and import data in the previous articles, but you may encounter slow indexing data. In fact, you can perform targeted optimization by understanding the indexing principles. The elasticsearch index process expands the distributed data compared t

The previous few basic has achieved most of the instant Messaging features: Chat, group chat, send files, pictures, messages. But these businesses are relatively rugged. Below we have the business refinement, before using the dead data, then we will start with friends. Add friends, first you need to know who you want to add. The Layim interface has a + sign in the lower right corner, and then it pops up to find a friend's interface, but the interface needs to be customized. Because the front-end

[Elasticsearch] adjacent match (3)-performance, associated word query and ShinglesImprove Performance Phrase and closeness queries are more expensive than simple match queries. The match query only checks whether the entry exists in the Inverted Index, while the match_phrase Query Needs to calculate and compare Multiple possible duplicate entries (Multiple possib

Simple searchGETThe request is very simple-you can easily get the document you want. Let's try something further, like a simple search!We try one of the simplest search requests for all employees:GET /megacorp/employee/_searchNext, let's search for employees whose last name contains "Jake" . To do this, we'll use a lightweight

": { ' Type ': ' String ', "Term_vector": "With_positions_offsets", "Analyzer": "Ik_syno", "Search_analyzer": "Ik_syno" }, "Content": { ' Type ': ' String ', "Term_vector": "With_positions_offsets", "Analyzer": "Ik_syno", "Search_analyzer": "Ik_syno" }, "Tags": { ' Type ': ' String ', "Term_vector": "No", "Analyzer": "Ik_syno", "Search_analyzer": "Ik_syno" }, "slug": { ' Type ': ' String ', "Term_vector": "No" }, "Update_date": { "Type": "Date", "T

) {Integer ID= (Integer) hit.getsource (). Get ("id"); String name= (String) hit.getsource (). Get ("name"); String function= (String) hit.getsource (). Get ("Funciton"); List.add (NewEsbean (ID, name, function)); } } returnlist; }The third step is to write the entity class Esbean Public class esbean{private String reg_id; Private String organization; Omitting setter and getter methods; Public Esbean (String reg_id,string organization) {Super(); this. reg_id=reg_id; this. organiz

":" String "}," raw ": {" type ":" string "," index ":" Not_analyzed "}}}}The above file says that we define its mapping for Index_type, the index type. The point is to map the name field to two, one to name the index analysis, and the other to not analyze raw, which will not split the phrase New York. So when we do the search, we can do the term aggregation for the Name.raw field and get the number of occurrences in all cities. Term Aggregation's Th

, construct a Scroll directly with the new Scroll (TimeValue), TimeValue or string is required to convert timevalue and string to scroll, (6) setTimeout (timevalue timeout) and setTimeout (string timeout), Set the time-out period for the search, (7) Setquery, set the query used by queries, (8) SetFilter, set the filter, (9) Setminscore, set the minimum number of score, and Setfrom, from which score to start; (11 SetSize, we need to find out how many r

unlimited.Indices.recovery.concurrent_streams:5Set this parameter to limit the number of concurrent streams to open when recovering data from other shards by default of 5.Discovery.zen.minimum_master_nodes:1Set this parameter to ensure that the nodes in the cluster can know the other N nodes that have a master qualification. The default is 1, for large clusters, you can set a larger value (2-4)Discovery.zen.ping.timeout:3sSets the ping connection time-out when the other nodes are automatically

is unlimited.Indices.recovery.concurrent_streams:5Set this parameter to limit the number of concurrent streams to open when recovering data from other shards by default of 5.Discovery.zen.minimum_master_nodes:1Set this parameter to ensure that the nodes in the cluster can know the other N nodes that have a master qualification. The default is 1, for large clusters, you can set a larger value (2-4)Discovery.zen.ping.timeout:3sSets the ping connection time-out when the other nodes are automatical

' {"A": "Avalue", "B": "Bvalue"}'3. Delete IndexCurl-xdelete ' http://Localhost:9200/{index}/{type}/{id} '4. Set mappingCurl-xput http://localhost:9200/{index}/{type}/_mapping-d ' { "{type}" : { " Properties " : { " date " : { " type ":" Long " }, " name " : { "Type": "string", "index": "Not_analyzed" }, "status" : { " Type ":" "Integer" } ,"type" : {"type": "Integer" }} } '5. Get mappingCurl-xget http://localho

1, first, for example, the following data is submitted to ES that index{"Number": 32768, "singer": "Yang Kun", "Size": "5109132", "Song": "20 years old Tonight", "tag": "China good Voice", "Timelen": 319}{"Number": 32769, "singer": "Wang Feng", "Size": "6001697", "song": "I Love You China", "tag": "China good Voice", "Timelen": 375}{"Number": 32780, "singer": "Wang Feng", "Size": "4070469", "song": "I Love You So", "tag": "China Good Sound", "Timelen": 254}{"Number": 32796, "singer": "Big Miss",

Usually the search engine, according to the user's input, real-time to give matching hints. So how does this function in Elasticsearch?Elasticsearch has designed 4 types of suggester, namely: Term suggester Phrase Suggester Completion suggester Context Suggester I use completion suggester to achieve this.There are many articles on the In

This chapter is translated from the partial matching chapter of the official Elasticsearch guide.Instant Search during query (Query-time search-as-you-type)Now let's look at how prefix matching can help with full-text search. The user is accustomed to seeing the search resul

Label:1. They are based on Lucene.2, they distribution: sensedb it is multi-write; SOLR's Shards It is the master-slave state. Based on pull strategy; Elasticsearch shards it is based on Primary-secondary state, push tactics;3, SENSEIDB he focused on real-time; SOLR stability is widely used; elasticsearch more flexibleCopyright notice: This article Bo Master original articles, blogs, without consent may not

JavaImportStatic org.elasticsearch.index.query.filterbuilders.*;ImportStatic org.elasticsearch.index.query.querybuilders.*; QueryBuilder QB = Termquery ("Multi","Test"); SearchResponse Scrollresp = client.preparesearch (test). Setsearchtype (Searchtype.scan). Setscroll (New TimeValue (60000)). Setquery (QB). SetSize ().execute (). Actionget (); //100 hits per shard would be returned for each scroll//scroll until no hits is returned while(true) { for (Searchhi

Provides various official and user-released code examples. For code reference, you are welcome to learn about the ElasticSearch full-text search engine. It is a good search framework! It is used for searching websites, which can relieve the pressure on the database! What we brought to you before is the use of curl for implementation. If you are interested, please

(Deleteindexresponse.isacknowledged ()); }/*** "description": Get to all indexes* "Steps": * @param* @return* @throws* @authorAllen * @date2017/7/4 16:27 */public static void Getallindex () {Clusterstateresponse response =Client. admin (). cluster (). Preparestate (). Execute (). Actionget (); Get all Indexes string[] indexs=response.getstate (). GetMetaData (). Getconcreteallindices (); for (String index:indexs) {System. out. println (index + "delete"),//}} public void Close (