pysqoop 0.0.11

A simple package to let you Sqoop into HDFS/Hive/HBase with python

pysqoop

A python package that lets you sqoop into HDFS data from RDBMS using sqoop.

To install the package via pip, run

pip install pysqoop

You can then use the package using

from pysqoop.SqoopImport import Sqoop 
sqoop = Sqoop(help=True)
code = sqoop.perform_import()

This will print the output of the command

sqoop --help

to your stoud; e.g.

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/hdp/2.6.3.0-235/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.6.3.0-235/accumulo/lib/slf4j-log4j12.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
18/08/13 20:25:13 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6.2.6.3.0-235
usage: sqoop import [GENERIC-ARGS] [TOOL-ARGS]

Common arguments:
   --connect <jdbc-uri>                                       Specify JDBC
                                                              connect
                                                              string
   --connection-manager <class-name>                          Specify
                                                              connection
                                                              manager
                                                              class name
   ...

A more concrete example

The following code

sqoop = Sqoop(fs='hdfs://remote-cluster:8020', hive_drop_import_delims=True, fields_terminated_by='\;',
enclosed_by='\'"\'', escaped_by='\\\\', null_string='\'\'', null_non_string='\'\'',
table='sample_table', target_dir='hdfs://remote-cluster/user/hive/warehouse/db/sample_table',
delete_target_dir=True, connect='jdbc:oracle:thin:@//your_ip:your_port/your_schema',
username='user', password='pwd', num_mappers=2,
bindir='/path/to/bindir/folder')

sqoop.perform_import()

will execute the following command

sqoop import -fs hdfs://remote-cluster:8020 --hive-drop-import-delims --fields-terminated-by \; --enclosed-by \'\"\' --escaped-by \\\\ --null-string \'\' --null-non-string \'\' --table sample_table --target-dir hdfs://remote-cluster/user/hive/warehouse/db/sample_table --delete-target-dir --connect jdbc:oracle:thin:@//your_ip:your_port/your_schema --username user --password pwd --num-mappers 2 --bindir /path/to/bindir/folder

Conditional Building

Use the set_param, unset_param function to build conditioned sqoop imports.

sqoop = Sqoop(table="MyTable")

sqoop.set_param(param="--connect", value="jdbc:a_valid_string")

if taget_is_hbase :
   added_table = sqoop.set_param(param="--hbase-table", value="MyTable")
   added_key = sqoop.set_param(param="--hbase-row-key", value="Id_MyTable")
   if added_table and added_key:
      print("all params added :D")

sqoop.perform_import()

TODOs

• handle sqoop jobs
• add missing parameters
• more tests coverage