apache_beam.transforms.combiners module¶
A library of basic combiner PTransform subclasses.
-
class
apache_beam.transforms.combiners.
Mean
[source]¶ Bases:
object
Combiners for computing arithmetic means of elements.
-
class
Globally
(label=None)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
combiners.Mean.Globally computes the arithmetic mean of the elements.
-
class
PerKey
(label=None)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
combiners.Mean.PerKey finds the means of the values for each key.
-
class
-
class
apache_beam.transforms.combiners.
Count
[source]¶ Bases:
object
Combiners for counting elements.
-
class
Globally
(label=None)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
combiners.Count.Globally counts the total number of elements.
-
class
PerKey
(label=None)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
combiners.Count.PerKey counts how many elements each unique key has.
-
class
PerElement
(label=None)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
combiners.Count.PerElement counts how many times each element occurs.
-
class
-
class
apache_beam.transforms.combiners.
Top
[source]¶ Bases:
object
Combiners for obtaining extremal elements.
-
static
Of
(*args, **kwargs)¶
-
static
PerKey
(*args, **kwargs)¶
-
static
Largest
(*args, **kwargs)¶
-
static
Smallest
(*args, **kwargs)¶
-
static
LargestPerKey
(*args, **kwargs)¶
-
static
SmallestPerKey
(*args, **kwargs)¶
-
static
-
class
apache_beam.transforms.combiners.
Sample
[source]¶ Bases:
object
Combiners for sampling n elements without replacement.
-
static
FixedSizeGlobally
(*args, **kwargs)¶
-
static
FixedSizePerKey
(*args, **kwargs)¶
-
static
-
class
apache_beam.transforms.combiners.
ToList
(label='ToList')[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
A global CombineFn that condenses a PCollection into a single list.
-
class
apache_beam.transforms.combiners.
ToDict
(label='ToDict')[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
A global CombineFn that condenses a PCollection into a single dict.
PCollections should consist of 2-tuples, notionally (key, value) pairs. If multiple values are associated with the same key, only one of the values will be present in the resulting dict.