condor_transform_ads(1) | General Commands Manual | condor_transform_ads(1) |
condor_transform_ads Transform - ClassAds according to specified rules, and output the transformed ClassAds.
condor_transform_ads [-help [rules]]
condor_transform_ads-rules rules-file[-in[:<form>] infile] [-out[:<form>[, nosort]] outfile] [<key>=<value>] [-long] [-json] [-xml] [-verbose] [-terse] [-debug] [-unit-test] [-testing] [-convertoldroutes] [infile1 ...infileN]
Note that exactly one rules file, and at least one input file, must be specified. If no output file is specified, output will be written to stdout.
condor_transform_adsreads ClassAds from a set of input files, transforms them according to rules defined in a rules file, and outputs the resulting transformed ClassAds.
See https://htcondor-wiki.cs.wisc.edu/index.cgi/wiki?p=TjsAdTransformLanguagefor a description of the transform language.
-help [rules]
-rules rules-file
-in[:<form>] infile
-out[:<form>[, nosort] outfile
[<key>=<value>]
-long
-json
-xml
-verbose
-terse
-debug
-unit-test
-testing
-convertoldroutes
condor_transform_adswill exit with a status value of 0 (zero) upon success, and it will exit with the value 1 (one) upon failure.
Here's a simple example that transforms the given input ClassAds according to the given rules:
# File: my_input
ResidentSetSize = 500
DiskUsage = 2500000
NumCkpts = 0
TransferrErr = false
Err = "/dev/null"
# File: my_rules
EVALSET MemoryUsage ( ResidentSetSize / 100 )
EVALMACRO WantDisk = ( DiskUsage * 2 )
SET RequestDisk ( $(WantDisk) / 1024 )
RENAME NumCkpts NumCheckPoints
DELETE /(.+)Err/
# Command:
condor_transform_ads -rules my_rules -in my_input
# Output:
DiskUsage = 2500000
Err = "/dev/null"
MemoryUsage = 5
NumCheckPoints = 0
RequestDisk = ( 5000000 / 1024 )
ResidentSetSize = 500
Center for High Throughput Computing, University of Wisconsin-Madison
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.
May 2022 |