Provided by: htcondor_8.6.8~dfsg.1-2_amd64 

Name
condor_convert_history Convert - the history file to the new format
Synopsis
condor_convert_history[-help]
condor_convert_historyhistory-file1[history-file2...]
Description
As of Condor version 6.7.19, the Condor history file has a new format to allow fast searches backwards
through the file. Not all queries can take advantage of the speed increase, but the ones that can are
significantly faster.
Entries placed in the history file after upgrade to Condor 6.7.19 will automatically be saved in the new
format. The new format adds information to the string which distinguishes and separates job entries. In
order to search within this new format, no changes are necessary. However, to be able to search the
entire history, the history file must be converted to the updated format. condor_convert_historydoes
this.
The condor_convert_historycommand can also be used to reconstruct the new format in a history file that
has been corrupted or concantenated with another history file.
Turn the condor_schedddaemon off while converting history files. Turn it back on after conversion is
completed.
Arguments to condor_convert_historyare the history files to convert. The history file is normally in the
Condor spool directory; it is named history . Since the history file is rotated, there may be multiple
history files, and all of them should be converted. On Unix platform variants, the easiest way to do this
is:
cd `condor_config_val SPOOL`
condor_convert_history history*
condor_convert_historymakes a back up of each original history files in case of a problem. The names of
these back up files are listed; names are formed by appending the suffix .oldver to the original file
name. Move these back up files to a directory other than the spool directory. If kept in the spool
directory, condor_historywill find the back ups, and will appear to have duplicate jobs.
Exit Status
condor_convert_historywill exit with a status value of 0 (zero) upon success, and it will exit with the
value 1 (one) upon failure.
Author
Center for High Throughput Computing, University of Wisconsin-Madison
Copyright
Copyright (C) 1990-2016 Center for High Throughput Computing, Computer Sciences Department, University of
Wisconsin-Madison, Madison, WI. All Rights Reserved. Licensed under the Apache License, Version 2.0.
April 2018 condor_convert_history(1)