elasticsearch api

The previous blog introduced the use of the simple query API in ES, and this article describes the use of the aggregation API provided by ES. The aggregation capabilities provided by ES can be used for simple data analysis. This article is still an example of the data provided above. The data are as follows: Studentno name male Age Birthday Classno Address Isleader

The delete API allows you to delete JSON documents from a specified index by ID. There are two methods: ID-based data deletion and query-based data deletion. 1. Delete by ID The following example shows how to delete a document whose index name is Twitter, its type is tweet, and its ID is 1: DeleteResponse response = client.prepareDelete("twitter", "tweet", "1") .execute() .actionGet(); Ii. Delete through query The following example del

> Tim pf towns $ Tim c Lavin tim sg Td>wigins + Tim SF First, initialize the builder: Searchrequestbuilder Sbuilder = Client.preparesearch ("Player"). Settypes ("Player");The following example illustrates the implementation methods of various aggregation operations, because in the ES API, the aggregation operation on many

)); public static void Main (string[] args) {esapitest esapitest = new Esapitest (); Esapitest.createindex (); Esapitest.getindex (); }//CREATE INDEX + type + document public void CreateindeX () {//Generate index, use MAP to store map Bulkprocessor set properties for a bulk request Bulkprocessor bulkprocessor bulkprocessor = bulkprocessor.builder (client, new Bulkprocessor.listener () {@Overrid e public void Beforebulk (long arg0, bulkrequest arg1) {//do things before mass executi

Testquery:http://app.yinxiang.com/shard/s34/sh/665797f5-de0b-4db2-b51c-8f404baf25d2/94aa4bee41e4a404f9921e85b6f011bd Testfilter:http://app.yinxiang.com/shard/s34/sh/25bf71b1-45d7-4f6e-8740-bcd226cd4279/f1815b8eace5c53b7767ce6ef2f5a8a7 Esclient:http://app.yinxiang.com/shard/s34/sh/29c7b4c7-cbbf-4e6c-87fc-3a119d092d3c/cd5e9374ac9a762914407f0bfef1e4e6 sourceutils:http://app.yinxiang.com/shard/s34/sh/5aa91ee8-cfbd-4a15-9c47-7fabe24cc817/2c75ebb9db106802e7017d13c544b001 Properties:http://app.yinxiang

be assigned on the same node. It allows you to extend the search volume/throughput because searches can be performed in parallel on all replicas. In summary, each index can be divided into multiple shards. Each index can also be duplicated 0 times (meaning no replicas) or multiple times. Once replicated, each index will have a primary shard (the copied original shard) and a secondary shard (a copy of the primary shard). You can define the number of fragments and replicas based on the ind

integrated Lucene version in elasticsearch is updated, it will not support Lucene 3 in future elasticsearch versions. therefore, ES adds the your_index/_ upgrade rest api to convert old indexes into indexes compatible with the latest Lucene. 2. Elasticsearch Ecosystem Updates 2.1 released

serviceFive, recommended reading booksRecommended books: "Elasticsearch Server Development (2nd edition)", the book uses the Curl tool called ES API, in fact, using the head plug-in, in the Any Request tab, can easily construct the API to send requests to the ES server URL, To achieve the same functionality:For example: Use the Curl tool to send commands to the

Why do I need a search engineThe purpose of the search is to quickly look for what is needed without browsing the entire site. The results should be sequential, the higher the correlation, the better the result should be. Filter to optimize the overall relevance of the search results The search cannot be too slow Because the traditional relational database can't solve this kind of problem well, it needs to introduce a special search engine. The use of Elasti