Jaehwa Jung created TAJO-1033:
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Summary: 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
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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