blob: fde4862062f39a74aabfb829ddd7af97c9e1473a [file] [log] [blame]
#!/usr/bin/env ruby
#
# 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.
require "arrow"
fields = [
Arrow::Field.new("uint8", :uint8),
Arrow::Field.new("uint16", :uint16),
Arrow::Field.new("uint32", :uint32),
Arrow::Field.new("uint64", :uint64),
Arrow::Field.new("int8", :int8),
Arrow::Field.new("int16", :int16),
Arrow::Field.new("int32", :int32),
Arrow::Field.new("int64", :int64),
Arrow::Field.new("float", :float),
Arrow::Field.new("double", :double),
]
schema = Arrow::Schema.new(fields)
Arrow::FileOutputStream.open("/tmp/stream.arrow", false) do |output|
Arrow::RecordBatchStreamWriter.open(output, schema) do |writer|
uints = [1, 2, 4, 8]
ints = [1, -2, 4, -8]
floats = [1.1, -2.2, 4.4, -8.8]
columns = [
Arrow::UInt8Array.new(uints),
Arrow::UInt16Array.new(uints),
Arrow::UInt32Array.new(uints),
Arrow::UInt64Array.new(uints),
Arrow::Int8Array.new(ints),
Arrow::Int16Array.new(ints),
Arrow::Int32Array.new(ints),
Arrow::Int64Array.new(ints),
Arrow::FloatArray.new(floats),
Arrow::DoubleArray.new(floats),
]
record_batch = Arrow::RecordBatch.new(schema, 4, columns)
writer.write_record_batch(record_batch)
sliced_columns = columns.collect do |column|
column.slice(1, 3)
end
record_batch = Arrow::RecordBatch.new(schema, 3, sliced_columns)
writer.write_record_batch(record_batch)
end
end