elasticsearch-jdbc | elasticsearch specified SQL interface on Java , no need

by syhily Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | elasticsearch-jdbc Summary

elasticsearch-jdbc is a Java library typically used in Big Data, Spark applications. elasticsearch-jdbc 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 has a user friendly HTTP-JSON interface. But sometimes, a jdbc based SQL interface would make it easy for Java developers. This project can be used to transform our SQL query into a normal elasticsearch query model. Currently in heavy development.

Support

Quality

Security

License

Reuse

Support

elasticsearch-jdbc has a low active ecosystem.

It has 40 star(s) with 20 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 695 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of elasticsearch-jdbc is current.

Quality

elasticsearch-jdbc has no bugs reported.

Security

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

License

elasticsearch-jdbc 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-jdbc 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.

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elasticsearch-jdbc Key Features

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

elasticsearch-jdbc Examples and Code Snippets

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

Community Discussions

Trending Discussions on elasticsearch-jdbc

load dynamic data from MySQL table in ElasticSearch using JDBC driver

Elasticsearch query with NEST don't work

Elastic Search 5 and SQL Server synchronisation

QUESTION

load dynamic data from MySQL table in ElasticSearch using JDBC driver

Asked 2018-May-24 at 07:16

I have get dyanamically data from MySQL tables in my elasticSearch index. For that i have used following link for but not get propper result:

I have used following code:

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ANSWER

Answered 2018-May-24 at 07:16

I have got a answer for that question: make one file in root directory called event.sh and following code in that file

event.sh

Source https://stackoverflow.com/questions/50488966

QUESTION

Elasticsearch query with NEST don't work

Asked 2017-Mar-02 at 23:39

I'm using Microsoft SQL Server Management Studio and ElasticSearch 2.3.4 with ElasticSearch-jdbc-2.3.4.1, and i linked ES with my mssql server. Everything works fine, but when i make a query using NEST on my MVC program the result is empty. When i put an empty string inside my search attribute i get the elements, but when i try to fill it with some filter i get an empty result. Can someone help me out please? Thanks in advance.

C#:

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ANSWER

Answered 2017-Mar-02 at 23:39

There's a couple of things that I can see that may help here:

By default, NEST camel cases POCO property names when serializing them as part of the query JSON in the request, so x => x.Question will serialize to "question". Looking at your mapping however, field names in Elasticsearch are Pascal cased, so what the client is doing will not match what's in Elasticsearch.

You can change how NEST serializes POCO property names by using .DefaultFieldNameInferrer(Func) on ConnectionSettings

Source https://stackoverflow.com/questions/42551662

QUESTION

Elastic Search 5 and SQL Server synchronisation

Asked 2017-Jan-03 at 13:07

I am starting a Elastic search 5 project from data that are actually in a SQL Server, so I am starting from the start:

I am thinking about how import data from my SQL Server, and especially how to synchronise my data when data are updated or added.

I saw here it is adviced to make no too frequent batch.

But how make synchronisation batchs, may I have to write it myself or is there very used tools and practices ? River and JDBC plugin feeder appears to have been really used but don't work with Elastic Search 5.*

Any help would be very welcomed.

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ANSWER

Answered 2017-Jan-03 at 13:07

I'd recommend using Logstash:

It's easy to use and setup
You can do your own ETL in logstash configuration files
You can have multiple JDBC sources in one file
You'll have figure out how to make incremental (batched) updates to sync your data. It really depends on your data model.

This is a nice blog piece to begin with:

https://www.elastic.co/blog/logstash-jdbc-input-plugin

Source https://stackoverflow.com/questions/41444168

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

Vulnerabilities

No vulnerabilities reported

Install elasticsearch-jdbc

You can download it from GitHub.
You can use elasticsearch-jdbc 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-jdbc 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

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can. Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.

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