You will need to have Oracle Database 11g  JDBC Driver ojdbc6.jar installed in 
$SQOOP_HOME/lib. You can download it from here 
<http://www.oracle.com/technetwork/apps-tech/jdbc-112010-090769.html> 

 

The approach I prefer is to let Sqoop import it as a text file to a staging 
table and then insert/select into an ORC table from the staging table.

 

sqoop import --connect "jdbc:oracle:thin:@rhes564:1521:mydb" --username 
scratchpad -P \

   --query "select * from scratchpad.dummy where \

   \$CONDITIONS" \

    -split-by id \

   -hive-import -hive-table "test.dummy_staging" --target-dir 
"/a/b/c/dummy_staging" --create-hive-table

 

 

Once the table staging is created you can then insert/select to an Orc table of 
your definition and make sure that the schema is clearly defined as you wish. 
For example you have to cater for date fields or columns that are varchar as 
opposed to String.

 

Case in point

 

The source table schema in Oracle is

 

 

  CREATE TABLE "SCRATCHPAD"."DUMMY" 

   (  "ID" NUMBER, 

      "CLUSTERED" NUMBER, 

      "SCATTERED" NUMBER, 

      "RANDOMISED" NUMBER, 

      "RANDOM_STRING" VARCHAR2(50 BYTE), 

      "SMALL_VC" VARCHAR2(10 BYTE), 

      "PADDING" VARCHAR2(10 BYTE), 

       CONSTRAINT "DUMMY_PK" PRIMARY KEY ("ID")

  )

 

The staging table dummy_staging  is generated by Sqoop:

 

desc dummy_staging;

+----------------+------------+----------+--+

|    col_name    | data_type  | comment  |

+----------------+------------+----------+--+

| id             | double     |          |

| clustered      | double     |          |

| scattered      | double     |          |

| randomised     | double     |          |

| random_string  | string     |          |

| small_vc       | string     |          |

| padding        | string     |          |

+----------------+------------+----------+--+

 

Your ORC table may look like:

 

desc dummy;

+----------------+--------------+----------+--+

|    col_name    |  data_type   | comment  |

+----------------+--------------+----------+--+

| id             | int          |          |

| clustered      | int          |          |

| scattered      | int          |          |

| randomised     | int          |          |

| random_string  | varchar(50)  |          |

| small_vc       | varchar(10)  |          |

| padding        | varchar(10)  |          |

+----------------+--------------+----------+--+

 

 

This also translates to Extract Load Transfer (ELT)) methodology which I prefer.

 

HTH

 

Dr Mich Talebzadeh

 

LinkedIn  
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Sybase ASE 15 Gold Medal Award 2008

A Winning Strategy: Running the most Critical Financial Data on ASE 15

http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf

Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", 
ISBN 978-0-9563693-0-7. 

co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 
978-0-9759693-0-4

Publications due shortly:

Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8

Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one 
out shortly

 

http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> 

 

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From: Ashok Kumar [mailto:ashok34...@yahoo.com] 
Sent: 31 January 2016 13:15
To: User <user@hive.apache.org>
Subject: Re: Importing Oracle data into Hive

 

Thanks,

 

Can sqoop create this table as ORC in Hive?

 

On Sunday, 31 January 2016, 13:13, Ashok Kumar <ashok34...@yahoo.com 
<mailto:ashok34...@yahoo.com> > wrote:

 

Thanks.

 

Can sqoop create this table as ORC in Hive?

 

On Sunday, 31 January 2016, 13:11, Nitin Pawar <nitinpawar...@gmail.com 
<mailto:nitinpawar...@gmail.com> > wrote:

 

check sqoop 

 

On Sun, Jan 31, 2016 at 6:36 PM, Ashok Kumar <ashok34...@yahoo.com 
<mailto:ashok34...@yahoo.com> > wrote:

  Hi,

 

What is the easiest method of importing data from an Oracle 11g table to Hive 
please? This will be a weekly periodic job. The source table has 20 million 
rows.

 

I am running Hive 1.2.1

 

regards

 

 




-- 

Nitin Pawar

 

 

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