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https://issues.apache.org/jira/browse/BEAM-2939?focusedWorklogId=232461&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-232461
]
ASF GitHub Bot logged work on BEAM-2939:
----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Apr/19 01:06
Start Date: 25/Apr/19 01:06
Worklog Time Spent: 10m
Work Description: pabloem commented on pull request #8338: [BEAM-2939]
Initial SyntheticSDF as Source and add an Synthetic pipeline to sdf test
URL: https://github.com/apache/beam/pull/8338#discussion_r278366751
##########
File path: sdks/python/apache_beam/testing/synthetic_pipeline.py
##########
@@ -250,6 +252,95 @@ def default_output_coder(self):
[beam.coders.BytesCoder(), beam.coders.BytesCoder()])
+class SyntheticSDFSourceRestrictionProvider(RestrictionProvider):
+ """A `RestrictionProvider` for SyntheticSDFAsSource.
+
+ In initial_restriction(element) and split(element), element means source
+ description.
+ A typical element is like:
+
+ {
+ 'key_size': 1,
+ 'value_size': 1,
+ 'initial_splitting_num_bundles': 2,
+ 'initial_splitting_desired_bundle_size': 2,
+ 'sleep_per_input_record_sec': 0,
+ 'initial_splitting' : 'const'
+
+ }
+
+ """
+
+ def initial_restriction(self, element):
+ return (0, element['num_records'])
+
+ def create_tracker(self, restriction):
+ return restriction_trackers.OffsetRestrictionTracker(
+ restriction[0], restriction[1])
+
+ def split(self, element, restriction):
+ start_position, stop_position = restriction
+ element_size = element['key_size'] + element['value_size']
+ estimate_size = element_size * element['num_records']
+ if element['initial_splitting'] == 'zipf':
+ desired_num_bundles = (
+ element['initial_splitting_num_bundles'] or
+ math.ceil(float(estimate_size) /
+ element['initial_splitting_desired_bundle_size']))
+ samples = np.random.zipf(
+ element['initial_splitting_distribution_parameter'],
+ desired_num_bundles)
+ total = sum(samples)
+ relative_bundle_sizes = [(float(sample) / total) for sample in samples]
+ bundle_ranges = []
+ start = start_position
+ index = 0
+ while start < stop_position:
+ if index == desired_num_bundles - 1:
+ bundle_ranges.append((start, stop_position))
+ break
+ stop = start + int(
+ element['num_records'] * relative_bundle_sizes[index])
+ bundle_ranges.append((start, stop))
+ start = stop
+ index += 1
+ else:
+ if element['initial_splitting_num_bundles']:
+ bundle_size_in_elements = max(1, int(
+ element['num_records'] /
+ element['initial_splitting_num_bundles']))
+ else:
+ bundle_size_in_elements = (max(
+ div_round_up(
+ element['initial_splitting_desired_bundle_size'],
element_size),
+ int(math.floor(math.sqrt(element['num_records'])))))
+ bundle_ranges = []
+ for start in range(start_position, stop_position,
+ bundle_size_in_elements):
+ stop = min(start + bundle_size_in_elements, stop_position)
+ bundle_ranges.append((start, stop))
+ return bundle_ranges
+
+ def restriction_size(self, element, restriction):
+ return ((element['key_size'] + element['value_size'])
+ * (restriction[1] - restriction[0]))
+
+
+class SyntheticSDFAsSource(beam.DoFn):
+ """A SDF that generates records like a source"""
Review comment:
Perhaps provide more documentation for what sort of distributions / valid
input as a source is supported here? And maybe Pydoc more specific to this
transform e.g. `A DoFn that takes in synthetic source specifications, and
provides elements ...` something like that? : )
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Issue Time Tracking
-------------------
Worklog Id: (was: 232461)
Time Spent: 16h 50m (was: 16h 40m)
> Fn API SDF support
> ------------------
>
> Key: BEAM-2939
> URL: https://issues.apache.org/jira/browse/BEAM-2939
> Project: Beam
> Issue Type: Improvement
> Components: beam-model
> Reporter: Henning Rohde
> Assignee: Luke Cwik
> Priority: Major
> Labels: portability, triaged
> Time Spent: 16h 50m
> Remaining Estimate: 0h
>
> The Fn API should support streaming SDF. Detailed design TBD.
> Once design is ready, expand subtasks similarly to BEAM-2822.
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