elasticsearch bulk

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,

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

": "Jobbole", "_type": "Job", "_id": "6"}}{"title": "Development", "Salary_min": "City": "Beijing", " Company ": {" name ":" Baidu "," company_addr ":" Beijing Software Park "}," Publish_date ":" 2017-4-16 "," Comments ": 15}Bulk Bulk Operations Bulk Delete dataPOST _bulk{"Delete": {"_index": "Jobbole", "_type": "Job", "_id": "5"}}{"delete": {"_index": "Jobbole",

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 condition is buffered on the client. Although

The bulk processing functionality provided by Elasticsearch is implemented by using the _bulk API. This feature is important because it provides a very efficient mechanism to complete multiple operations as quickly as possible, while using as few network round trips as possible.1, batch index, that is, batch add documentsTwo documents (ID 1-john doe and ID 2-jane Doe) were indexed in a

Bulk APIThe bulk API allows developers to index and delete multiple documents in a single request. Here is the usage instance.ImportStatic org.elasticsearch.common.xcontent.xcontentfactory.*; Bulkrequestbuilder bulkrequest = Client.preparebulk ();Either use Client#prepare, or use requests# to directly build Index/delete Requestsbulkrequest.add (client.prepareindex ("Twitter","Tweet","1"). SetSource (Jsonbui

= Client.preparedelete ("Twitter", "tweet", "1") . setoperationthreaded (False) . Execute () . Actionget (); The bulk of the javaapi of Elasticsearch The Bulk API can be used to retrieve and delete multiple data in a single request, and here is an example: Import Static org . Elasticsearch

Write the following data to requests{"Create": {"_index": "Index1", "_type": "Resource", "_id": 1}} {"title": "Stephen Chow Chi latest movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 2}} {"title": "Stephen Chow's best-looking new movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 3 } {"title": "Stephen Chow the latest movie, Best, new movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 4}} {"title": "The most Best new new new New Movie "} {"

old. After the tool is deleted and reinstalled, it returns to normal. >> pip install elasticsearch Index operations For a single index, you can call the create or index method. from datetime import datetimefrom elasticsearch import Elasticsearches = Elasticsearch() #create a localhost server connection, or Elasticsearch