elasticsearch index size

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ElasticSearch 2 (10)-under ElasticSearch (in-depth understanding of Shard and Lucene 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

Elasticsearch index (company) _ Centos CURL addition, deletion, and modification, elasticsearchcurl

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

Elasticsearch Search API uses one: Create an index and specify the mapping of the index type

":" 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

Elasticsearch "Index templates index Templates"

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 template template_1 set it to a primary shard of 1. Types are typ

Elasticsearch Curl Creating the Index library

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

Elasticsearh update nested fields (array arrays). How do I copy a (index) to the new index to update by query a nested fields data for elasticsearch based on the query criteria?

": { "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" } },

Cloud computing platform (Search)-elasticsearch-INDEX OPTIMIZATION

number of parts is too large, opening more files during retrieval may also lead to communication between multiple servers. If the number of parts is too small, the retrieval speed is slow because the index of a single part is too large. Before determining the number of shards, You need to test a single service single index single shard. For example, when I created an i

Elasticsearch What is a document? Index a document _elasticsearch

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

Elasticsearch Bulk API Bulk Index

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

ElasticSearch Java Api-delete Index

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-Create an index

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 Java API-Retrieving index libraries

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

ElasticSearch Java api-Delete Index

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

Distributed search elasticsearch source code analysis 2-Brief Analysis of index process source code

Elasticsearch provides a simple analysis of the index logic. Here we will only clarify the main context, and some details will be elaborated in future articles. If you call the elasticsearch index interface through Java APIs, you first construct a JSON string (represented as xcontent in ES, which is an abstraction of t

Introduction to Distributed Search Elasticsearch index of literature retrieval

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": "Wa

Elasticsearch Curl Delete the index library

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 ":"

Introduction to searching elasticsearch index documents

Tags: elasticsearch distributed storage distributed search1. First, submit the following data to es to create an index. {"Number": 32768, "Singer": "Yang Kun", "size": "5109132", "Song": "", "tag ": "Voice of China", "timelen": 319}{"Number": 32769, "Singer": "Wang Feng", "size": "6001697", "Song": "I love you China",

Some options during index creation of elasticsearch

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

Elasticsearch Index (Multiple field Type field-fields can be retrieved to aggregate)

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

Elasticsearch Java API (V) Bulk Bulk Index

This blog describes an easy way to index multiple documents Elasticsearch. The support of the Bulk API enables you to perform batch additions, deletions, updates, and so on at one time. The bulk operation uses the UDP protocol, and UDP cannot ensure that data is not lost when communicating with the Elasticsearch server. First, Bulk API When using the bulk command

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