Source code for apache_beam.runners.direct.consumer_tracking_pipeline_visitor

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"""ConsumerTrackingPipelineVisitor, a PipelineVisitor object."""

from __future__ import absolute_import

from apache_beam import pvalue
from apache_beam.pipeline import PipelineVisitor


class ConsumerTrackingPipelineVisitor(PipelineVisitor):
  """For internal use only; no backwards-compatibility guarantees.

  Visitor for extracting value-consumer relations from the graph.

  Tracks the AppliedPTransforms that consume each PValue in the Pipeline. This
  is used to schedule consuming PTransforms to consume input after the upstream
  transform has produced and committed output.
  """

  def __init__(self):
    self.value_to_consumers = {}  # Map from PValue to [AppliedPTransform].
    self.root_transforms = set()  # set of (root) AppliedPTransforms.
    self.views = []               # list of side inputs.
    self.step_names = {}          # Map from AppliedPTransform to String.

    self._num_transforms = 0

  def visit_transform(self, applied_ptransform):
    inputs = list(applied_ptransform.inputs)
    if inputs:
      for input_value in inputs:
        if isinstance(input_value, pvalue.PBegin):
          self.root_transforms.add(applied_ptransform)
        if input_value not in self.value_to_consumers:
          self.value_to_consumers[input_value] = []
        self.value_to_consumers[input_value].append(applied_ptransform)
    else:
      self.root_transforms.add(applied_ptransform)
    self.step_names[applied_ptransform] = 's%d' % (self._num_transforms)
    self._num_transforms += 1
    for side_input in applied_ptransform.side_inputs:
      self.views.append(side_input)