[jira] [Updated] (TAJO-1033) Implement an appender for ElasticSearch.

["Jaehwa Jung (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/TAJO-1033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jaehwa Jung updated TAJO-1033:
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    Attachment: ImplementanappenderforElasticSearch..pdf

> Implement an appender for ElasticSearch.
> ----------------------------------------
>
>                 Key: TAJO-1033
>                 URL: https://issues.apache.org/jira/browse/TAJO-1033
>             Project: Tajo
>          Issue Type: New Feature
>          Components: storage
>            Reporter: Jaehwa Jung
>            Assignee: Jaehwa Jung
>         Attachments: ImplementanappenderforElasticSearch..pdf
>
>
> ElasticSearch(ES) is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with aRESTful web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. 
> I think ES is a very powerful solution for serving data, for example, for serving Tajo query results. Currently, using APIs ES provides, users can load data stored in HDFS into ES indices. But to do that, users have to implement a program by themselves, which requires them to know HDFS, ES, and some languages such as Java properly. From my research to find a way to make their lives easier, I found that Tajo can help them by providing Tajo appender for ES with which users can index data in ES using SQL in Tajo. And I believe this feature will help to use Tajo better leveraging its ecosystem.
> For more information, please refer to the attached file.



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