elasticsearch index flush

Using Elasticsearch to do site search, background frame is laravel, so use this laravel package, "Elasticquent" (https://github.com/elasticquent/Elasticquent) , Problem:If there is a artiles table in MySQL, and now there is a new article to join, then how does the Elasticsearch index automatically synchronize the data in the MySQL artiles table? Reply conten

Backup Script es_backup.sh:#!/bin/bash#备份昨天数据, deleted 30 days ago Index host= ' hostname ' es_user=$1es_passwd=$2# get yesterday date (backup used) date_yesterday= ' date-d '-1 day "+%y.%m.%d ' # Gets the current timestamp date_now= ' Date +%s ' #获取一个月前的日期date_month_ago = ' date [emailprotected]$[$date _now-2592000] "+%y.%m.%d" ' For i in Txxxx zhaoxxx #指定备份索引do #判断仓库是否存在, does not exist create code= ' Curl-xget-u$es_user: $es _passwd-s-W "%{http_cod

As stated in the previous article, ES can automatically index documents. But here's the problem-- What if the index of the default setting isn't what we want? To know es this search engine is the actual partition with index, index contains different types, different types are logical partitions, each type may con

" } } }}‘Return Error:{ "error ": {" root_cause ": [{"type": " Illegal_argument_exception "," reason ": "Mapper [OnSale] of different type, Current_type [Boolean], Merged_type [string]"}], "type ": " Illegal_argument_exception "," Reason ": " mapper [OnSale] of different type, Current_type [Boolean ], Merged_type [string] "}," status ": Why can't I modify the type of a field? The reason is that after the type of a field has been modified, all data for that field needs to be

Https://www.elastic.co/guide/en/elasticsearch/reference/1.7/indices-aliases.htmlOneThe Elasticsearch alias, which is similar to a database view.To create an alias:We create an alias My_index_alias for the index My_index, so that we operate on the My_index_alias as if it were a my_index operationPOST/_aliases{"Actions": [{"Add": {"

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": "Wang Feng", "Size": "4070469", "song": "I Love You So", "tag": "China Good Sound", "Timelen"

For the first contact with elasticsearch children's shoes, in order to facilitate the understanding of the Elasticsearch and MySQL in contrast to explain:The index in ES is the equivalent of MySQL db, a MySQL can have multiple db, similar, an ES cluster can have multiple index.The type in ES is the equivalent of a table in MySQL, where a db in MySQL can have mult

1. Add Maven DependencyXML code dependency> groupId>org.elasticsearchgroupId> artifactid>elasticsearchartifactid> version>0.90.0version> Dependency> It is recommended to use MAVEN to manage the project because Elasticsearch has a lot of dependencies and manual maintenance is cumbersome2. Create a client that connects to the Elasticsearch serviceJava code Settings Setti

Premise, isElasticsearch Curl Creating the Index library[[email protected] elasticsearch-2.4.3]$ curl-xput ' http://192.168.80.200:9200/zhouls/emp/1 '-d ' {"Name": " Tom "," Age ": 25} '{"_index": "Zhouls", "_type": "EMP", "_id": "1", "_version": 1, "_shards": {"Total": 2, "successful": 1, "Failed": 0}, " Created ": True}[[email protected] elasticsearch-2.4.3]$Th

No. 362, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) basic index and document CRUD operationsElasticsearch (search engine) basic index and document CRUD operationsthat is, basic indexing and documentation, adding, deleting, changing, checking , manipulatingNote: The following operations are all operating in the

Used to 6.2, and thought that like 5.X allows the creation of a parent-child relationship document, that is, one index allows the mapping of multiple types, the operation will not find a viableThe following code:put/company{ "mappings": { "branch": {}, "employee": { "_parent": { "type": "Branch" } } }}Find the latest official documentation and give a description to the effect that:6.0.0 Removing an

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", "tag ": "Voice of China", "timelen": 375}{"Number": 32780, "Singer": "Wang Feng", "size":

Elasticsearch Snapshot Introductionsnapshots are typically built on a shared file system , In this case there is a snapshot of the node , Other nodes are also visible. , This can be deleted at the same time, (in the latest version of the creation of the warehouse if you do not use the shared file system will prompt you, the other nodes do not find the corresponding warehouse). Registering a snapshot warehousepay attention to this " Location "Direc

Inverted indexThe inverted index stems from the fact that a record needs to be found based on the value of the property. Each entry in this index table includes an attribute value and the address of each record that has that property value. Because the property value is not determined by the record, it is determined by the property value to determine the position of the record, and is therefore called an in

[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

method of registration, a set of custom registration method)The default registration method code is as follows:[Httppost]public async taskThe custom registration method code is as follows:[Httppost]public async taskWell, to here we have completed the login registration function in the background, the code after the extraction, and then see is not very simple appearance, with the previous forms authentication code structure almost, packaging and packaging used up more convenient!

Index APIOriginal: http://www.elasticsearch.org/guide/en/elasticsearch/client/java-api/current/index_.htmlThe index API allows you to convert a JSON document to a specific index, making it easy to search for operations.To generate a JSON document:There are several different ways to generate a JSON document: Ma

ElasticSearch NEST Client Operation indexvar indexname= "Twitter";var deleteindexresponse = client. Deleteindex (IndexName);var createindexresponse = client. CreateIndex (IndexName);var getindexresponse = client. GetIndex (IndexName);var indexexistsresponse = client. Indexexists (IndexName);var openindexresponse=client. Openindex (IndexName);var closeindexresponse=client. Closeindex (IndexName);1. CREATE indexPUT twitter{}2. Delete IndexDelete/twitter

In Elasticsearch, it is sometimes necessary to filter the data for a certain period of time by the index date, and then use the date mathematical expression provided by ES Describe:Especially in the log data, just query the log data for a period of time, then you can use the date mathematical expression, which can limit the number of indexes retrieved, reduce the load on the cluster, improve system per

1. Create a new indexPut:http://localhost:9200/twitter{" settings": { "number_of_shards": 3, "Number_of_replicas": 2 }, "mappings": { "type1": {" c7/> "Properties": { "field1": { "type": "string", "index": "Not_analyzed" } } }View Code2, deleting an indexDelete:http://localhost:9200/twitter3. Get