spring data elasticsearch

Tags: Use file log nbsp Number install Ros put select====== MySQL River introduction ====== - what is River? The river represents a data source for ES and is also a way to synchronize data to ES with other storage methods (such as databases). It is an ES service that exists in plug-in mode, by reading the data in the river and indexing it into ES, the official ri

separate document. However, if the previous query is executed, no documents will be returned. This is because, for nested files, you need to use a specialized query. Therefore, the query is as follows (of course, we have created the index and the type again): Curl-xget ' localhost:9200/shop/cloth/_search?pretty=true '-d ' {"Query": {"nested": {" Path ":" Variation "," query ": {" bool ": {" must ": [{" term ": {" variation.size ":" XXL "}},{" term ": {" Variation.color ":" Black "}"} "}}} ' Now

{Code...} returns all query results, that is, no highlight data. please help me !!! Namespace App \ Http \ Controllers \ Search; use Illuminate \ Http \ Request; use App \ Http \ Requests; use App \ Http \ Controllers \ Controller; use Elasticsearch \ Client; class Index extends Controller {protected $ client; public function _ construct (Client $ client) {$ this-> client = $ client;} public function search

Tags: data database mysqlRecently, there are many fuzzy queries in the company system, the data volume is large, and the multi-table connection query will affect the performance. So consider using search engines to do all fuzzy query, thinking:MySQL database data synchronization to the ES type, synchronous use of full-volume synchronization + timing increment, th

PHP through the API to search ES after the discovery can only get 10 data, search statements as follows:{ "Query":{ "filtered":{ " Query ":{" Query_string ":{ "Query": "level:\" warning \ "andsource_name:\" asp.net\ "", "Analyze_wildcard":true }}, " Filter ":{" bool ":{ "must":[ { "Range": { "@timestamp": { "GTE": 1494309300, " LTE ":1494489299, "format": "Epoch_second" } }} ], "Must_ Not ":[]}} }}}Other ES if no size is specified, the default

The data format obtained by the Elasticsearch-java API is in JSON format, as shown belowIf you get a sum,avg value, the format will change.Jsonobject obj =Json.parseobject (esresult.getstring ()); //Figure AlistNewArraylist(); Try{List); if(hits! =NULL){ for(map json:hits) {mapNewHashmap(); Map _SC= (MAP) json.get ("_source"); Span.put ("T_deviceip", _sc.get ("T_deviceip")); Span.put ("Cpupe

'{"Script": "Ctx._source.name_of_new_field=\" value_of_new_field\ ""}‘You can also use Srcipt to remove field informationCurl-xpost ' 192.168.56.101:9200/customer/external/1/_update?pretty '-d '{"Script": "Ctx._source.remove (\" name_of_field\ ")"}‘Second, delting DocumentsDeleting A document is fairly straightforward. This example shows how to delete our previous customer with the ID of 2Curl-xdelete ' 192.168.56.101:9200/customer/external/2?pretty 'Third, Batch processingAs a quick example, t

When Size-from is greater than 10000 when using Elasticsearch for deep paging queries, an error ""The official recommendation is that the scroll query returns results that are unordered and do not meet the business requirements, so we can achieve our goal by setting the maximum number of returned results.Then we can set it up in the following ways:First type: Curl-xput http://127.0.0.1:9200/_settings-d ' {"index": {"Max_result_window": 100000000}} 'Th

Display conversion and implicit conversion between basic elasticsearch data types. Typeof (data)/typeof data determines the Data Type of the data, typeof returns all stringsThe output result types include number, string, boolean,

client./** clients only */string es_nodes_client_only = "Es.nodes.client.only"; String Es_nodes_client_only_default = "false";/** Data only */string es_nodes_data_only = "Es.nodes.data.only"; String Es_nodes_data_only_default = "true";/** Ingest only */string es_nodes_ingest_only = "Es.nodes.ingest.only"; String Es_nodes_ingest_only_default = "false";/** WAN only */string es_nodes_wan_only = "Es.nodes.wan.only"; String Es_nodes_wan_only_default = "fa

As mentioned in the previous article, between Elasticsearch and disk there is also a layer of cache is the filesystem cache, most of the new or modified, deleted data are in this layer cache, if there is no flush operation, then can not 100% Ensure that the system data is not lost, such as sudden power outage or machine downtime, but the reality is that es in the

bulk submits a lot of commands at a time, it will send the data to a node, and then the node will parse the metadata (index, type, or ID ), distribute the parts to other nodes for operations. Since many commands return results in a uniform manner after execution, the data volume may be large. In this case, if Chunk encoding is used for multipart transmission, it may cause a certain delay. Therefore, the co

affect the data The node,es cluster also does not take an abnormal recovery. for the es cluster to design the nodes of these three roles, but also from the hierarchical logic to consider, only the relevant functions and roles are clearly divided, each node to do their own responsibility, in order to play a distributed cluster effect. N Bsp For more elasticsearch knowledge, see

The following ES are based on version (V2.3.4)The default of ES1. Default automatically sends all cluster nodes of the same LAN first2. The default one index library will have 5 shards (the more shards, the better the efficiency)Because of these two defaults, the Shard pairs of the Unified Index library are distributed on different machines, and the API search has this problemSearch Type of ES1. Why do you have this thing?, these two problems occur:The difference between and and then: if2. Worka

Es = Elasticsearch (hosts=[{'Host':"elb-elasticsearch.cn-north-1.elb.amazonaws.com.cn",'Port':"9200"}],http_auth=("username","Password")) T= Datetime.fromtimestamp (int (1529986664), Pytz.timezone ('Asia/shanghai'))Print(t) data= { " Region":"cn","Env":"Dev","Product":"Reliability","Service":"DevOps","ObjectType":"EC2","Endpoint":"cn-dev-reliability-devops-ec2-172.31.116.5","Metric":"tcp_syn_sent","value":

matching.First, the default participle, try to see. "Type": "String"}, "brand": {//brands: Pg,pg, Procter and Gamble Group, stock, Lenovo Group, Lenovo computer, etc. "type": "String"}, "OrderNo": {//Order Number: ATTS000928732 "type": "string", "index": "Not_analyzed"}, "des Cription ": {//Description: 2015 Rose-scented Johnson baby shower gel, 550ml, pack//search: Require highlighting so set store:true. Keyword Weight: Shower gel, Johnson + shower gel or Rose Flower + Shower gel or 550

": { "tags.brand":"c55fd643-1333-4647-b898-fb3e5e4e6d67" } }, { "term": { "tags.site":"163"}} ]}}}}}//update a nested document get usernested based on the condition/_update_by_query{ "query": { "nested": { "path":"tags", "query": { "bool": { "must": [ { "term": { "tags.brand":"c55fd643-1333-4647-b898-fb3e5e4e6d67" } },

ElasticSearch (ES) may be read out via the source interface when a result is required after retrieval. But in this case, the result of the return will be many. When invoking the search method, we can add the AddField or AddFields method, Simply read the required domain. The interface example is as follows:1 SearchResponse response = Client.preparesearch ("flume-*-content-*")2 . Setscroll (New TimeValue (60000)3

def main (args:array[string]): Unit = {val sparkconf = new sparkconf (). Setappname ("DecisionTree1"). Setmaster ("local[2") ") Sparkconf.set (" Es.index.auto.create "," true ") Sparkconf.set (" Es.nodes "," 10.3.162.202 ") Sparkconf.set (" Es.port "," 9200 ") val sc = new Sparkcontext (sparkconf)//write2es (SC) read4es (SC); } def write2es (sc:sparkcontext) = {val numbers = Map ("One", 1, "One", "2", "three", 3) Val Airports = Map ("OTP", "Otopeni", "SFO", "San Fran") var Rdd = Sc.makerdd (Seq

To group queries by aggregation:　　SearchResponse response = Client.preparesearch (Index_douban). Settypes (Type_douban). Addaggregation (Aggregationbuilders.terms ("By_" +tag). Field (TAG). Size (1000)). Execute (). Actionget ();Terms Terms = Response.getaggregations (). Get ("By_" +tag);For (Bucket b:terms.getbuckets ()) {Sum sum = b.getaggregations (). Get ("sum");List.add (String) B.getkey ());System.out.println ("Filedname:" +b.getkey () + "Doccount:" +b.getdoccount ());}It is important to n