OS Manuals

/usr/bin/launcher-v2

Kubeflow Pipelines launcher-v2

From kubeflow-pipelines-launcher-v2 2.18.0-r5 (enterprise-packages), captured 2026-11-08 by running launcher-v2 --help (exit 0). permalink

Also provided by 1 other package version
Usage of /usr/bin/launcher-v2:
  -alsologtostderr
    	log to standard error as well as files
  -ca_cert_path string
    	The path to the CA certificate to trust on connections to the ML pipeline API server and metadata server.
  -cache_disabled
    	Disable cache globally.
  -component_spec string
    	The JSON-encoded ComponentSpec.
  -copy string
    	copy this binary to specified destination path
  -execution_id int
    	Execution ID of this task.
  -executor_input string
    	The JSON-encoded ExecutorInput.
  -executor_type string
    	The type of the ExecutorSpec (default "container")
  -importer_spec string
    	The JSON-encoded ImporterSpec.
  -log_backtrace_at value
    	when logging hits line file:N, emit a stack trace
  -log_dir string
    	If non-empty, write log files in this directory
  -log_level string
    	The verbosity level to log. (default "1")
  -log_link string
    	If non-empty, add symbolic links in this directory to the log files
  -logbuflevel int
    	Buffer log messages logged at this level or lower (-1 means don't buffer; 0 means buffer INFO only; ...). Has limited applicability on non-prod platforms.
  -logtostderr
    	log to standard error instead of files
  -metadata_tls_enabled
    	Set to true if MLMD serves over TLS.
  -ml_pipeline_server_address string
    	The name of the ML pipeline API server address. (default "ml-pipeline.kubeflow")
  -ml_pipeline_server_port string
    	The port of the ML pipeline API server. (default "8887")
  -ml_pipeline_tls_enabled
    	Set to true if mlpipeline API server serves over TLS.
  -mlmd_server_address string
    	The MLMD gRPC server address.
  -mlmd_server_port string
    	The MLMD gRPC server port. (default "8080")
  -parent_dag_id int
    	parent DAG execution ID
  -pipeline_name string
    	pipeline context name
  -pod_name string
    	Kubernetes Pod name.
  -pod_uid string
    	Kubernetes Pod UID.
  -publish_logs string
    	Whether to publish component logs to the object store (default "true")
  -run_id string
    	pipeline run uid
  -stderrthreshold value
    	logs at or above this threshold go to stderr (default 2)
  -task_spec string
    	The JSON-encoded TaskSpec.
  -v value
    	log level for V logs
  -vmodule value
    	comma-separated list of pattern=N settings for file-filtered logging
Options (31)
OptionDescriptionSource
-alsologtostderrlog to standard error as well as fileshelp
-ca_cert_path stringThe path to the CA certificate to trust on connections to the ML pipeline API server and metadata server.help
-cache_disabledDisable cache globally.help
-component_spec stringThe JSON-encoded ComponentSpec.help
-copy stringcopy this binary to specified destination pathhelp
-execution_id intExecution ID of this task.help
-executor_input stringThe JSON-encoded ExecutorInput.help
-executor_type stringThe type of the ExecutorSpec (default "container")help
-importer_spec stringThe JSON-encoded ImporterSpec.help
-log_backtrace_at valuewhen logging hits line file:N, emit a stack tracehelp
-log_dir stringIf non-empty, write log files in this directoryhelp
-log_level stringThe verbosity level to log.help
-log_link stringIf non-empty, add symbolic links in this directory to the log fileshelp
-logbuflevel intBuffer log messages logged at this level or lower (-1 means don't buffer;help
-logtostderrlog to standard error instead of fileshelp
-metadata_tls_enabledSet to true if MLMD serves over TLS.help
-ml_pipeline_server_address stringThe name of the ML pipeline API server address.help
-ml_pipeline_server_port stringThe port of the ML pipeline API server.help
-ml_pipeline_tls_enabledSet to true if mlpipeline API server serves over TLS.help
-mlmd_server_address stringThe MLMD gRPC server address.help
-mlmd_server_port stringThe MLMD gRPC server port.help
-parent_dag_id intparent DAG execution IDhelp
-pipeline_name stringpipeline context namehelp
-pod_name stringKubernetes Pod name.help
-pod_uid stringKubernetes Pod UID.help
-publish_logs stringWhether to publish component logs to the object store (default "true")help
-run_id stringpipeline run uidhelp
-stderrthreshold valuelogs at or above this threshold go to stderr (default 2)help
-task_spec stringThe JSON-encoded TaskSpec.help
-v valuelog level for V logshelp
-vmodule valuecomma-separated list of pattern=N settings for file-filtered logginghelp

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