Spark SQL supports most commonly used features of HiveQL. However,
different HiveQL statements are executed in different manners:
1.
DDL statements (e.g. |CREATE TABLE|, |DROP TABLE|, etc.) and
commands (e.g. |SET key = value|, |ADD FILE|, |ADD JAR|, etc.)
In most cases, Spark SQL
Thanks Cheng for the great explanation!
bit1...@163.com
From: Cheng Lian
Date: 2015-03-16 00:53
To: bit1...@163.com; Wang, Daoyuan; user
Subject: Re: Explanation on the Hive in the Spark assembly
Spark SQL supports most commonly used features of HiveQL. However, different
HiveQL statements
Thanks Daoyuan.
What do you mean by running some native command, I never thought that hive will
run without an computing engine like Hadoop MR or spark. Thanks.
bit1...@163.com
From: Wang, Daoyuan
Date: 2015-03-13 16:39
To: bit1...@163.com; user
Subject: RE: Explanation on the Hive in the
Hi bit1129,
1, hive in spark assembly removed most dependencies of hive on Hadoop to avoid
conflicts.
2, this hive is used to run some native command, which does not rely on spark
or mapreduce.
Thanks,
Daoyuan
From: bit1...@163.com [mailto:bit1...@163.com]
Sent: Friday, March 13, 2015 4:24 PM
Hi, sparkers,
I am kind of confused about hive in the spark assembly. I think hive in the
spark assembly is not the same thing as Hive On Spark(Hive On Spark, is meant
to run hive using spark execution engine).
So, my question is:
1. What is the difference between Hive in the spark assembly
Can anyone have a look on this question? Thanks.
bit1...@163.com
From: bit1...@163.com
Date: 2015-03-13 16:24
To: user
Subject: Explanation on the Hive in the Spark assembly
Hi, sparkers,
I am kind of confused about hive in the spark assembly. I think hive in the
spark assembly is not the
