Provided by: pegasus-wms_4.0.1+dfsg-8_amd64 bug

NAME

       pegasus-analyzer - debugs a workflow.

SYNOPSIS

       pegasus-analyzer [--help|-h] [--quiet|-q] [--strict|-s]
                        [--monitord|-m|-t] [--verbose|-v]
                        [--output-dir|-o output_dir]
                        [--dag dag_filename] [--dir|-d|-i input_dir]
                        [--print|-p print_options] [--debug-job job]
                        [--debug-dir debug_dir] [--type workflow_type]
                        [--conf|-c property_file] [--files]
                        [--top-dir dir_name] [workflow_directory]

DESCRIPTION

       pegasus-analyzer is a command-line utility for parsing the jobstate.log file and reporting
       successful and failed jobs. When executed without any options, it will query the SQLite or
       MySQL database and retrieve failed job information for the particular workflow. When
       invoked with the --files option, it will retrieve information from several log files,
       isolating jobs that did not complete successfully, and printing their stdout and stderr so
       that users can get detailed information about their workflow runs.

OPTIONS

       -h, --help
           Prints a usage summary with all the available command-line options.

       -q, --quiet
           Only print the the output and error filenames instead of their contents.

       -s, --strict
           Get jobs' output and error filenames from the job’s submit file.

       -m, -t, --monitord
           Invoke pegasus-monitord before analyzing the jobstate.log file. Although
           pegasus-analyzer can be executed during the workflow execution as well as after the
           workflow has already completed execution, pegasus-monitord" is always invoked with the
           --replay option. Since multiple instances of pegasus-monitord" should not be executed
           simultaneously in the same workflow directory, the user should ensure that no other
           instances of pegasus-monitord are running. If the run_directory is writable,
           pegasus-analyzer will create a jobstate.log file there, rotating an older log, if it
           is found. If the run_directory is not writable (e.g. when the user debugging the
           workflow is not the same user that ran the workflow), pegasus-analyzer will exit and
           ask the user to provide the --output-dir option, in order to provide an alternative
           location for pegasus-monitord log files.

       -v, --verbose
           Sets the log level for pegasus-analyzer. If omitted, the default level will be set to
           WARNING. When this option is given, the log level is changed to INFO. If this option
           is repeated, the log level will be changed to DEBUG.

       -o output_dir, --output-dir output_dir
           This option provides an alternative location for all monitoring log files for a
           particular workflow. It is mainly used when an user does not have write privileges to
           a workflow directory and needs to generate the log files needed by pegasus-analyzer.
           If this option is used in conjunction with the --monitord option, it will invoke
           pegasus-monitord using output_dir to store all output files. Because workflows can
           have sub-workflows, pegasus-monitord will create its files prepending the workflow
           wf_uuid to each filename. This way, multiple workflow files can be stored in the same
           directory.  pegasus-analyzer has built-in logic to find the specific jobstate.log file
           by looking at the workflow braindump.txt file first and figuring out the corresponding
           wf_uuid.  If output_dir does not exist, it will be created.

       --dag 'dag_filename
           In this option, dag_filename specifies the path to the DAG file to use.
           pegasus-analyzer will get the directory information from the dag_filename. This option
           overrides the --dir option below.

       -d input_dir, -i input_dir, --dir input_dir
           Makes pegasus-analyzer look for the jobstate.log file in the input_dir directory. If
           this option is omitted, pegasus-analyzer will look in the current directory.

       -p print_options, --print print_options
           Tells pegasus-analyzer what extra information it should print for failed jobs.
           print_options is a comma-delimited list of options, that include pre, invocation,
           and/or all, which activates all printing options. With the pre option,
           pegasus-analyzer will print the pre-script information for failed jobs. For the
           invocation option, pegasus-analyzer will print the invocation command, so users can
           manually run the failed job.

       --debug-job job
           When given this option, pegasus-analyzer turns on its debug_mode, when it can be used
           to debug a particular job. In this mode, pegasus-analyzer will create a shell script
           in the debug_dir (see below, for specifying it) and copy all necessary files to this
           local directory and then execute the job locally.

       --debug-dir debug_dir
           When in debug_mode, pegasus-analyzer will create a temporary debug directory. Users
           can give this option in order to specify a particular debug_dir directory to be used
           instead.

       --type workflow_type
           In this options, users specify what workflow_type they want to debug. At this moment,
           the only workflow_type available is condor and it is the default value if this option
           is not specified.

       -c property_file, --conf property_file
           This option is used to specify an alternative property file, which may contain the
           path to the database to be used by pegasus-analyzer. If this option is not specified,
           the config file specified in the braindump.txt file will take precedence.

       --files
           This option allows users to run pegasus-analyzer using the files in the workflow
           directory instead of the database as the source of information.  pegasus-analyzer will
           output the same information, this option only changes where the data comes from.

       --top-dir dir_name
           This option enables pegasus-analyzer to show information about sub-workflows when
           using the database mode. When debugging a top-level workflow with failures in
           sub-workflows, the analyzer will automatically print the command users should use to
           debug a failed sub-workflow. This allows the analyzer to find the database it needs to
           access.

ENVIRONMENT VARIABLES

       pegasus-analyzer does not require that any environmental variables be set. It locates its
       required Python modules based on its own location, and therefore should not be moved
       outside of Pegasus' bin directory.

EXAMPLE

       The simplest way to use pegasus-analyzer is to go to the run_directory and invoke the
       analyzer:

           $ pegasus-analyzer .

       which will cause pegasus-analyzer to print information about the workflow in the current
       directory.

       pegasus-analyzer output contains a summary, followed by detailed information about each
       job that either failed, or is in an unknown state. Here is the summary section of the
       output:

           **************************Summary***************************

            Total jobs         :     75 (100.00%)
            # jobs succeeded   :     41 (54.67%)
            # jobs failed      :      0 (0.00%)
            # jobs unsubmitted :     33 (44.00%)
            # jobs unknown     :      1 (1.33%)

       jobs_succeeded are jobs that have completed successfully. jobs_failed are jobs that have
       finished, but that did not complete successfully. jobs_unsubmitted are jobs that are
       listed in the dag_file, but no information about them was found in the jobstate.log file.
       Finally, jobs_unknown are jobs that have started, but have not reached completion.

       After the summary section, pegasus-analyzer will display information about each job in the
       job_failed and job_unknown categories.

           ******************Failed jobs' details**********************

           =======================findrange_j3=========================

             last state: POST_SCRIPT_FAILURE
                   site: local
            submit file: /home/user/diamond-submit/findrange_j3.sub
            output file: /home/user/diamond-submit/findrange_j3.out.000
             error file: /home/user/diamond-submit/findrange_j3.err.000


           --------------------Task #1 - Summary-----------------------
            site        : local
            hostname    : server-machine.domain.com
            executable  : (null)
            arguments   : -a findrange -T 60 -i f.b2 -o f.c2
            error       : 2
            working dir :

       In the example above, the findrange_j3 job has failed, and the analyzer displays
       information about the job, showing that the job finished with a POST_SCRIPT_FAILURE, and
       lists the submit, output and error files for this job. Whenever pegasus-analyzer detects
       that the output file contains a kickstart record, it will display the breakdown containing
       each task in the job (in this case we only have one task). Because pegasus-analyzer was
       not invoked with the --quiet flag, it will also display the contents of the output and
       error files (or the stdout and stderr sections of the kickstart record), which in this
       case are both empty.

       In the case of SUBDAG and subdax jobs, pegasus-analyzer will indicate it, and show the
       command needed for the user to debug that sub-workflow. For example:

           =================subdax_black_ID000009=====================

             last state: JOB_FAILURE
                   site: local
            submit file: /home/user/run1/subdax_black_ID000009.sub
            output file: /home/user/run1/subdax_black_ID000009.out
             error file: /home/user/run1/subdax_black_ID000009.err
             This job contains sub workflows!
             Please run the command below for more information:
             pegasus-analyzer -d /home/user/run1/blackdiamond_ID000009.000


           -----------------subdax_black_ID000009.out-----------------
           Executing condor dagman ...


           -----------------subdax_black_ID000009.err-----------------
       tells the user the subdax_black_ID000009 sub-workflow failed, and that it can be debugged
       by using the indicated pegasus-analyzer command.

SEE ALSO

       pegasus-status(1), pegasus-monitord(1), pegasus-statistics(1).

AUTHORS

       Fabio Silva <fabio at isi dot edu>

       Karan Vahi <vahi at isi dot edu>

       Pegasus Team http://pegasus.isi.edu

                                            02/28/2012                        PEGASUS-ANALYZER(1)