blob: 05aa3c9b9de55893fe9ce6c8b7cdeac63730bdba [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#
# NOTE: This file is autogenerated and should not be edited by hand.
# Configs are generated based on the expansion service
# configuration in /sdks/standard_expansion_services.yaml.
# Refer to gen_xlang_wrappers.py for more info.
#
# Last updated on: 2024-04-18
- default_service: sdks:java:io:expansion-service:shadowJar
description: 'Outputs a PCollection of Beam Rows, each containing a single INT64
number called "value". The count is produced from the given "start" value and
either up to the given "end" or until 2^63 - 1.
To produce an unbounded PCollection, simply do not specify an "end" value. Unbounded
sequences can specify a "rate" for output elements.
In all cases, the sequence of numbers is generated in parallel, so there is no
inherent ordering between the generated values'
destinations:
python: apache_beam/io
fields:
end:
description: The maximum number to generate (exclusive). Will be an unbounded
sequence if left unspecified.
nullable: true
type: numpy.int64
rate:
description: Specifies the rate to generate a given number of elements per a
given number of seconds. Applicable only to unbounded sequences.
nullable: true
type: Row(elements=<class 'numpy.int64'>, seconds=typing.Union[numpy.int64,
NoneType])
start:
description: The minimum number to generate (inclusive).
nullable: false
type: numpy.int64
identifier: beam:schematransform:org.apache.beam:generate_sequence:v1
name: GenerateSequence