class_docstr: SystemNodeHandler is the base class of all system nodes' handler.
docstr: Runs the system node and return the Execution.
  
  Args:
    mlmd_connection: ML metadata connection.
    pipeline_node: The specification of the node that this launcher lauches.
    pipeline_info: The information of the pipeline that this node runs in.
    pipeline_runtime_spec: The runtime information of the pipeline that this
      node runs in.
  
  Returns:
    The execution of the run.
docstr_tok: ["Runs","the","system","node","and","return","the","Execution",".","Args",":","mlmd_connection",":","ML","metadata","connection",".","pipeline_node",":","The","specification","of","the","node","that","this","launcher","lauches",".","pipeline_info",":","The","information","of","the","pipeline","that","this","node","runs","in",".","pipeline_runtime_spec",":","The","runtime","information","of","the","pipeline","that","this","node","runs","in",".","Returns",":","The","execution","of","the","run","."]
code: def run(
      self,
      mlmd_connection: metadata.Metadata,
      pipeline_node: pipeline_pb2.PipelineNode,
      pipeline_info: pipeline_pb2.PipelineInfo,
      pipeline_runtime_spec: pipeline_pb2.PipelineRuntimeSpec,
  ) -> metadata_store_pb2.Execution:
      """Runs the system node and return the Execution.
  
      Args:
        mlmd_connection: ML metadata connection.
        pipeline_node: The specification of the node that this launcher lauches.
        pipeline_info: The information of the pipeline that this node runs in.
        pipeline_runtime_spec: The runtime information of the pipeline that this
          node runs in.
  
      Returns:
        The execution of the run.
      """
      pass
  
imports: import abc
  from tfx.orchestration import metadata
  from tfx.proto.orchestration import pipeline_pb2
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 for calling the SystemNodeHandler obj's underlying member method code with example usage: obj.run(mlmd_connection, pipeline_node, pipeline_info, pipeline_runtime_spec) without return types