oradump 1.0.7

Just a package for simple extracting data from Oracle database

oradump

OraDump is a simple class for extracting data from Oracle database. It works over the native Oracle client, so you'll have the fastest and convenient way to get your data dumped.

Requirements

• Since it works directly with native Oracle client, you need to have installed 12.2c(or higher) version of it on your computer.
• Path to BIN directory of Oracle client have to be in PATH variable.
• Set ENV variable NLS_LANG to encoding which used on your Oracle server. Like AMERICAN_AMERICA.AL32UTF8
• Installed Python 3.6 or higher.

Installation

pip install oradump 

Usage

Before utilize OraDump you need to prepare SQL-statement that will be used for retrieving data. For values that will be changing you set placeholders like that {start_date}. So you'll have SQL script, but like as a template.

Example:

select
     field_1,
     id,
     first_name,
     last_name,
     birth_day,
     ....
     field_N ,
 from scheme.employees
 where birth_day = to_date('{date}', 'dd.mm.yyyy')

from oradump import OraDump

By now, you can get data only in csv format. So to achieve this, you need to call dump or dump_gziped(if want get it compressed) functions.

dump example:

rows_cnt = OraDump.dump(conn_str, template, csv, params)

• conn_str - connection string that you specify when you connect to Oracle instance by native client(sqlplus). Like user/password@(DESCRIPTION = (ADDRESS_LIST = (ADDRESS = (PROTOCOL=TCP)(HOST=XXX.XXX.XXX.XXX)(PORT=1521)))(CONNECT_DATA = (SERVICE_NAME=SID.alias)))

• template - SQL template described above

• csv - path to target csv file

• params - parameters passing into SQL template and substituting into according placeholders.

dump_gziped example:

rows_cnt = OraDump.dump_gziped(conn_str, template, gzip, params, del_orig=False)

• gzip - path to target gziped csv file
• del_orig - whether if you want to delete csv file that OraDump gets before compressing.

purposes of rest of parameters are the same as in dump

If all went successful number of retrieved rows is returned.