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# 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
#
# 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. See the License for the
# specific language governing permissions and limitations
# under the License.
contexts:
- name: master
prelude: |
$LOAD_PATH.unshift(File.expand_path("ext/arrow"))
$LOAD_PATH.unshift(File.expand_path("lib"))
prelude: |-
require "arrow"
require "faker"
state = ENV.fetch("FAKER_RANDOM_SEED", 17).to_i
Faker::Config.random = Random.new(state)
n_rows = 1000
n_columns = 10
type = Arrow::DictionaryDataType.new(:int8, :string, true)
fields = n_columns.times.map {|i| ["column_#{i}".to_sym, type] }.to_h
schema = Arrow::Schema.new(**fields)
dictionary = Arrow::StringArray.new(
100.times.map { Faker::Book.genre }.uniq.sort
)
indices = Arrow::Int8Array.new(
n_rows.times.map {
Faker::Number.within(range: 0 ... dictionary.length)
}
)
arrays = n_columns.times.map do
Arrow::DictionaryArray.new(
type,
indices,
dictionary,
)
end
record_batch = Arrow::RecordBatch.new(schema, n_rows, arrays)
def pure_ruby_raw_records(record_batch)
n_rows = record_batch.n_rows
n_columns = record_batch.n_columns
columns = record_batch.columns
records = []
i = 0
while i < n_rows
record = []
j = 0
while j < n_columns
record << columns[j].data.indices[i]
j += 1
end
records << record
i += 1
end
records
end
benchmark:
pure_ruby: |-
pure_ruby_raw_records(record_batch)
raw_records: |-
record_batch.raw_records
|