elasticsearch index template

When we use Logstash to collect logs, we usually use the dynamic Index template that comes with logstash, although we can push our log data to the Elasticsearch index cluster without any custom action, but when we query, we find that The default index

SummaryIntroducing the internal principles of Elasticsearch Shard from the bottom and answering why is it necessary to understand the internal workings of Lucene using Elasticsearch? Understand the cost of the Elasticsearch API Build a FAST Search application Don't commit at any time. When to use stored fields and document Values

Https://www.elastic.co/guide/en/elasticsearch/reference/1.7/indices-templates.htmlOneIndex templates, define templates, automatically match when new indexes are created, and apply defined templatesNew Index Template (Index templates)We create a new index

Elasticsearch index (company) _ Centos CURL addition, deletion, and modification, elasticsearchcurlDirectory Returned Directory: http://www.cnblogs.com/hanyinglong/p/5464604.html1. Elasticsearch index description A. I have learned about the installation and configuration, basic concepts, and communication methods of

":" 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

": { "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" } },

For an introduction to curl, pleaseCurl of Elasticsearch Learning conceptTo start ES, pleaseElasticsearch front and rear operation and stop (TAR package mode) Elasticsearch front and rear station operation and stop (RPM package mode)　　Create an index library, I named Zhouls here[Email protected] elasticsearch-2.4.3]$ c

documents (document) has a special meaning. It refers either to the topmost structure or to the JSON data serialized by the root object (root objects) (identified with a unique ID and stored in elasticsearch). 1 Document Meta Data A document is not just data. It also contains meta data (metadata)-Information about the document. The three required metadata nodes are: Node description _index document store The _type document represents the object's cla

the contents of the API.With the above configuration file, you can configure the output plug-in in Logstash:Output {elasticsearch {host="localhost"#ES的服务器地址 Protocol="http"#使用的协议, node may be used by default, depending on the environment of the machine index="logstash-%{+yyyy. MM.DD}"#匹配的索引模式 Document_type="Test"#索引的类型, the old configuration uses Index_type, but this field has been deprecated in the new ve

This blog provides an easy way for Elasticsearch to index multiple documents. The support of Bulk API can implement batch add, delete, update and so on once request. The bulk operation uses the UDP protocol, and UDP cannot ensure that data is not lost when communicating with the Elasticsearch server.First, Bulk APIWith the bulk command, the REST API _bulk ends wi

blog with a type of Article,id 1:DeleteResponse dResponse = client.prepareDelete("blog""article""1").execute().actionGet();by Deleteresponse the Isfound () method of the object, you can get the success of the deletion, and the return value is a Boolean type.Third, delete through queryelasticsearch-2.3 and older APIs are not the same, install plugins:delete-by-queryDelete the index named Twitter, with all documents of type Tweet,user field containing

ElasticSearch JAVA API Official document: Https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/java-docs-index.htmlFirst, generate JSONThe first step in creating an index is to convert the object to a JSON string. There are four ways to create JSON documents:1.1 Handwriting Style generationString json = "{" + "\"user\":\"kimchy\"," +

Elasticsearch service.Index on the Elasticsearch server, the first step is to create a connection to the server.Client client = TransportClient.builder().build() .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"), 9300)); 2. Create a querybuilder.QueryBuilder you can set a query for a single field, or you can set up multiple fields.e.g.1: Query hibernate The

document that deletes an index named blog with a type of Article,id 1:DeleteResponse dResponse = client.prepareDelete("blog", "article", "1").execute().actionGet(); 1 2 by Deleteresponse the Isfound () method of the object, you can get the success of the deletion, and the return value is a Boolean type.Third, delete through queryelasticsearch-2.3 and older APIs are not the same, install plugins:delete-by-query 1 When a

[Elasticsearch] index management (4)-Dynamic ing Dynamic IC ing) When ES encounters a field not previously seen in the document, it uses dynamic ing to determine the type of the field and automatically adds ing to the field. Sometimes this is what you need, but sometimes it is not. You may not know which fields will be added to your documents in the future, but you want them to be automatically indexed. Ma

For an introduction to curl creating an index library, pleaseElasticsearch Curl Creating the Index library[Email protected] elasticsearch-2.4.3]$ curl-xput ' http://192.168.80.200:9200/zhouls '{"Error": {"Root_cause": [{"Type": "Index_already_exists_exception", "Reason": "already exists", "index": "Zhouls"}], "Type ":"

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

I want to use elasticsearch to perform intra-site search for blog articles and use php in the background. All the fields in article table articles are as follows: {code...} now I want to create an index for the title field, content field, and updated_at field in the article table. The following is my reference to elastics... I want to use elasticsearch for blog p

": {"type": "String", "Index": "Not_analyzed"}, "GeoIP": {"dynamic": "true", "PR Operties ": {" location ": {" type ":" Geo_point "} }}, "host": {"type": "string", "norms": { "Enabled": false}, "fields": {"raw": { "Type": "string", "index": "Not_analyzed", "Ignore_above": 256 }}}, "message": {"type": "String",

That's the thing. Before doing a mongodb search, do a good job to see the elder brother, said, "Yes, you can." Then replace him with a elasticsearch search. There was a breakdown in my heart. It is MongoDB is used to practicing AH. ES is what ghost. In the process of learning, when the teacher asked brother, brother always said, this I have not learned ah, you have to learn. So I can only own reader Web documents, it took me a lot of time. Here is a s