Common Hive Services

0 votes
What are the commonly used Hive Services?
Aug 30, 2018 in Database by Ashish
• 2,630 points
23 views

1 answer to this question.

0 votes

The following are commonly used services of HIVE

  • Command Line Interface (cli)
  • Hive Web Interface (hwi)
  • HiveServer (hiveserver)
  • Printing the contents of an RC file using the tool rcfilecat.
  • Jar
  • Metastore
Hope this helps.

answered Aug 30, 2018 by kurt_cobain
• 9,240 points

Related Questions In Database

0 votes
1 answer

Buckets in HIVE

There are two main reasons for performing bucketing ...READ MORE

answered Aug 30, 2018 in Database by kurt_cobain
• 9,240 points
63 views
0 votes
0 answers

What are the most common types Of Datawarehouse?

Jan 16 in Database by hemant
• 5,750 points
14 views
0 votes
3 answers

What is Hive? Is Hive a database?

Hive is a data Warehouse infrastructure/system built ...READ MORE

answered Jul 1 in Big Data Hadoop by Ved Gupta
4,495 views
0 votes
1 answer

Hadoop on cassandra database

Regarding your question - there is a ...READ MORE

answered Mar 26, 2018 in Big Data Hadoop by nitinrawat895
• 10,110 points
43 views
0 votes
1 answer
0 votes
1 answer

What is a importance of Hive ODBC Connector

The Cloudera ODBC Driver for Hive enables ...READ MORE

answered Apr 10, 2018 in Big Data Hadoop by kurt_cobain
• 9,240 points
85 views
0 votes
1 answer

Hcatalog in HIVE

HCatalog supports reading and writing files in ...READ MORE

answered Aug 30, 2018 in Database by kurt_cobain
• 9,240 points
96 views
0 votes
1 answer

External and Managed Table : HIVE

The metadata information along with the table ...READ MORE

answered Aug 30, 2018 in Database by kurt_cobain
• 9,240 points
34 views
0 votes
1 answer

HIVE DATA LOADING ERROR

Dear Raghu, Hope you are doing great. It is ...READ MORE

answered Dec 17, 2017 in Data Analytics by Sudhir
• 1,610 points
166 views
0 votes
1 answer

How Impala is fast compared to Hive in terms of query response?

Impala provides faster response as it uses MPP(massively ...READ MORE

answered Mar 21, 2018 in Big Data Hadoop by nitinrawat895
• 10,110 points
232 views