[KYUUBI #951 ] [LICENSE] Add license header on all docs

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### _Why are the changes needed?_
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### _How was this patch tested?_
- [ ] Add some test cases that check the changes thoroughly including negative and positive cases if possible

- [ ] Add screenshots for manual tests if appropriate

- [ ] [Run test](https://kyuubi.readthedocs.io/en/latest/develop_tools/testing.html#running-tests) locally before make a pull request

Closes #951 from pan3793/license.

Closes #951

4629eecd [Cheng Pan] Fix
c45a0784 [Cheng Pan] nit
b9a46b42 [Cheng Pan] pin license header at first line
80d1a71b [Cheng Pan] nit
b2a46e4c [Cheng Pan] Update
f6acaaf8 [Cheng Pan] minor
ef99183f [Cheng Pan] Add license header on all docs

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Cheng Pan <chengpan@apache.org>

2021-08-19 09:53:52 +08:00

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Kyuubi v.s. HiveServer2

Introduction

HiveServer2 is a service that enables clients to execute Hive QL queries on Hive supporting multi-client concurrency and authentication. Kyuubi enables clients to execute Spark SQL queries directly on Spark supporting multi-client concurrency and authentication too.

They are both designed to provide better support for open API clients like JDBC and ODBC to manage and analyze BigData.

Hive on Spark

The purpose of Hive on Spark is to add Spark as a third execution backend, parallel to MR and Tez. Comparing to Hive on MR, it the Spark DAG will help improve the performance of Hive queries, especially those have multiple reducer stages.

Differences Between Kyuubi and HiveServer2

Kyuubi	HiveServer2
Language	Spark SQL	Hive QL
Optimizer	Spark SQL Catalyst	Hive Optimizer
Engine	up to Spark 3.x	MapReduce/up to Spark 2.3/Tez
Performance	High	Low
Compatibility with Spark	Good	Bad(need to rebuild on a specific version)
Data Types	Spark Data Types	Hive Data Types

Performance

References

HiveServer2 Overview

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