condor_transform_ads - Man Page

condor_transform_ads — HTCondor Manual

Transform ClassAds according to specified rules, and output the transformed ClassAds.
 

condor_transform_ads [-help [rules] ]

condor_transform_ads [-rules rules-file] [-jobtransforms name-list] [-jobroute route-name] [-in[:<form>]  ** *infile*] [-out[:<form>[, nosort]]  ** outfile] [<key>=<value> ] [-long ] [-json ] [-xml ] [-verbose ] [-terse ] [-debug ] [-unit-test ] [-testing ] [-convertoldroutes ] [infile1 ...infileN ]

Note that one or more transforms must be specified in the form of a rules file or a JOB_TRANSFORM_ or JOB_ROUTER_ROUTE_ name and at least one input file must be specified. Transforms will be applied in the order they are given on the command line.  If a rules file has a TRANSFORM statement with arguments it must be the last rules file.  If no output file is specified, output will be written to stdout.

condor_transform_ads reads ClassAds from a set of input files, transforms them according to rules defined in a rules files or read from configuration, and outputs the resulting transformed ClassAds.

See the classads/transforms:Classad Transforms section for a description of the transform language.

-help [rules | convert]

Display usage information and exit. -help rules displays information about the available transformation rules. -help convert displays information about the -convertoldroutes option.

-rules rules-file

Specifies the file containing definitions of the transformation rules, or configuration that declares a JOB_TRANSFORM_<name> or JOB_ROUTER_ROUTE_<name> variable for use in a subsequent -jobtransforms <name> or -jobroute <name> argument.

-jobtransforms name-list

A comma-separated list of more transform names.  The transform rules will be read from a previous rules file or the configured JOB_TRANSFORM_<name> values

-jobroute name

A job route.  The transform rules will be read from a previous rules file or the configured JOB_ROUTER_ROUTE_<name> values

-in[:<form>] infile

Specifies an input file containing ClassAd(s) to be transformed. <form>, if specified, is one of:

• long: traditional long form (default)
• xml: XML form
• json: JSON ClassAd form
• new: "new" ClassAd form without newlines
• auto: guess format by reading the input

If - is specified for infile, input is read from stdin.

-out[:<form>[, nosort] outfile

Specifies an output file to receive the transformed ClassAd(s). <form>, if specified, is one of:

• long: traditional long form (default)
• xml: XML form
• json: JSON ClassAd form
• new: "new" ClassAd form without newlines
• auto: use the same format as the first input

ClassAds are storted by attribute unless nosort is specified.

[<key>=<value> ]

Assign key/value pairs before rules file is parsed; can be used to pass arguments to rules. (More detail needed here.)

-long

Use long form for both input and output ClassAd(s). (This is the default.)

-json

Use JSON form for both input and output ClassAd(s).

-xml

Use XML form for both input and output ClassAd(s).

-verbose

Verbose mode, echo to stderr the transform names as they are applied and individual transform rules as they are executed.

-terse

Disable the -verbose option.

-debug

Causes debugging information to be sent to stderr, based on the value of the configuration variable TOOL_DEBUG.

condor_transform_ads will 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

HTCondor Team

1990-2024, Center for High Throughput Computing, Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, US. Licensed under the Apache License, Version 2.0.