From SRB


The SRB Python binding provides a layer on the top of the existing SRB C client APIs. The binding allows pyhton program(s) to navigate SRB storage system such as getting the content of a given collection and manipulating SRB file system.

The output of the SRB Python binding after running 'gmake' is a shared library file,, which contains the currently-implemented SRB client binding functions to be used by Python program(s).

The Python binding functions were tested in Solaris and Linux (32-bit) machines.

Build the SRB Python library

Assume that either SRB C client or server has been configured and built successfully. In this case, the platform and other options/configurations have been set properly for a build machine. Change directory to the 'python' directory under the SRB tree and run gmake.

Currently-implemented Functions

- connect and disconnect from a SRB server - file operations such as open, create, seek, write, read - delete (unlink) a file. - collection operations such as create a sub-collection and delete an existing collection - virtual file system navigation functions for getting the content of a given collection such as its sub-collections and datasets(files) - metadata function: used to query the system metadata for a virtual file system.


 The following example uses GSI login. The sytanx of APIs is documented in file 'api_reference.txt'.
 $ python
 Python 1.5.2 (#1, Jan 31 2003, 11:01:49)  [GCC 2.96 20000731 (Red Hat Linux 7.2 2 on linux-i386
 Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam
 >>> import srb
 >>> cid = srb.connect("","6617","sdsc","GSI_AUTH","bzhu","","/C=US/O=NPACI/OU=SDSC/USERID=srbdev/CN=SRB develop ment user/")
 >>> print cid
 >>> srb.get_objs_in_coll(cid,0,0,"/home/bzhu.sdsc")
 >>> srb.get_obj_metadata(cid,0,0)
 >>> srb.get_obj_metadata(cid,0,23)
 >>> srb.get_subcolls(cid,0,"/home/bzhu.sdsc")
 >>> srb.get_subcoll_name(cid,0)
 >>> srb.get_subcoll_name(cid,0)
 >>> srb.get_subcoll_name(cid,4)
 >>> srb.disconnect(cid)


My special thanks for Conrad Steenberg from California Institute of Technology for his contribution in initiating this project and providing technical help in developing the SRB Python binding functions. The Clarens team is also the first SRB PPDG partner to use SRB Python binding, together with running a standalone SRB MCAT for Clarens. Conrad Steenberg can be reached at

Bing Zhu Data and Knowledge Systems San Diego Supercomputer Center (858)534-8373 May 19, 2003