elasticsearch-tutorial | ElasticSearch Java API tutorial using test cases | Object-Relational Mapping library

by jaibeermalik Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | elasticsearch-tutorial Summary

elasticsearch-tutorial is a Java library typically used in Utilities, Object-Relational Mapping, Spring Boot, Spring, Gradle, Hibernate, JPA applications. elasticsearch-tutorial has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

ElasticSearch Java API tutorial using test cases. The tutorials explains [ElasticSearch] java api usage taking examples using junit test cases for different functionality. This part will include searching/querying the data, different types of query. This part will cover common functionality of faceting, autocomplete, suggestions etc.

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elasticsearch-tutorial has a low active ecosystem.

It has 109 star(s) with 81 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 1805 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of elasticsearch-tutorial is current.

Quality

elasticsearch-tutorial has 0 bugs and 0 code smells.

Security

elasticsearch-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

elasticsearch-tutorial code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

elasticsearch-tutorial is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

elasticsearch-tutorial releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

elasticsearch-tutorial saves you 1748 person hours of effort in developing the same functionality from scratch.

It has 3868 lines of code, 297 functions and 37 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed elasticsearch-tutorial and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch-tutorial implemented functionality, and help decide if they suit your requirements.

Index all product groups and their properties
Gets the category map
Process bulk request
Create an XContent builder for a product
Sets up all indices
Get document type mapping
Remove an existing alias from an existing index
Creates an index
Generate list of nested documents with nested documents
Returns the product properties
Generate hierarchical categories
Generate sample data
Performs a search query
Get the query facet filter builder
Create the filter builder for a search criteria
Extracts product information from a search response
Gets autoSuggestions using a searchFacet
Escape characters in the query string
Gets a product
Gets the list field value
Adds a multi select filter
Index all products
Finds a list of objects that match the given product id
Returns a list of auto suggestions
Analyze text
Gets the index settings

Get all kandi verified functions for this library.

elasticsearch-tutorial Key Features

No Key Features are available at this moment for elasticsearch-tutorial.

elasticsearch-tutorial Examples and Code Snippets

No Code Snippets are available at this moment for elasticsearch-tutorial.

Community Discussions

Trending Discussions on elasticsearch-tutorial

Springframwork and Elasticsearch dynamic field\property names

Elasticsearch Spring Data with RestHighLevelClient

Elastic Search with laravel for multiple fields

Node Elasticsearch - Bulk indexing not working - Content-Type header [application/x-ldjson] is not supported

QUESTION

Springframwork and Elasticsearch dynamic field\property names

Asked 2019-Dec-27 at 21:57

I saw Spring Boot's mapping with the document annotation. Using the @Document annotation to define the index obligates me to specific amount of fields and specific fields names. In my application users define their own fields, so @Document is not a good match for my needs.

How can I achieve dynamic fields for a specific index with spring data?

example:

A user generates some data:

...

ANSWER

Answered 2019-Dec-27 at 21:57

Be aware that the linked document is a couple of years old.

With Spring Data Elasticsearch it is possible to index objects of different classes (not just Maps) to the same index, not with the Repository methods but with the methods of the implementations of the ElasticsearchOperations interface.

You can achieve this by using the ElasticsearchOperations.index(IndexQuery query) for versions up to the current version 3.2. From 4.0 on this will become DocumentOperations.index(IndexQuery, IndexCoordinates).
The IndexQuery contains a field that specifies the index name where the document data should be stored to. From version 4.0 on, the information in the second parameter is used to pass this information.

If you store data this way, be aware that the index mappings are not created by Spring Data Elasticsearch and you have no control over it. If first a document containing

Source https://stackoverflow.com/questions/59477229

QUESTION

Elasticsearch Spring Data with RestHighLevelClient

Asked 2019-Oct-14 at 10:24

I don't understand the relationship between the High Level REST CLient (which replaces the Transport Client) and Spring Data Elasticsearch.

There are tutorials (https://www.baeldung.com/spring-data-elasticsearch-tutorial) showing how to make JPA-style queries with auto-implemented methods like getSomethingById(). They utilize this interface:

...

ANSWER

Answered 2018-Aug-15 at 07:06

There's an open issue regarding this in the Spring Data ES repo: https://jira.spring.io/browse/DATAES-407

Source https://stackoverflow.com/questions/51853106

QUESTION

Elastic Search with laravel for multiple fields

Asked 2018-Oct-08 at 13:18

I have integrated elastic search in laravel with help of below tutorial.

https://appdividend.com/2018/06/30/laravel-elasticsearch-tutorial-example/

According to this tutorial search with single fields is working fine. i.e.

...

ANSWER

Answered 2018-Oct-08 at 13:18

You can use the multimatch query, above is some sample how this can be done.

Source https://stackoverflow.com/questions/52700066

QUESTION

Node Elasticsearch - Bulk indexing not working - Content-Type header [application/x-ldjson] is not supported

Asked 2018-Jan-13 at 09:15

Being new to elasticsearch, am exploring it by integrating with node and trying to execute the following online git example in windows.

https://github.com/sitepoint-editors/node-elasticsearch-tutorial

while trying to import the data of 1000 items from data.json, the execution 'node index.js' is failing with the following error.

By enabling the trace, I now see the following as the root cause from the bulk function.

...

ANSWER

Answered 2018-Jan-13 at 09:15

The bulk function doesn't return a promise. It accepts a callback function as a parameter.

Source https://stackoverflow.com/questions/48211468

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install elasticsearch-tutorial

You can download it from GitHub.
You can use elasticsearch-tutorial like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the elasticsearch-tutorial component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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