# 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. ENV["PYTHON"] = "python3" import PyCall pa = PyCall.pyimport("pyarrow") include(joinpath(dirname(pathof(Arrow)), "../test/testtables.jl")) for (nm, t, writekw, readkw, extratests) in testtables nm == "unions" && continue println("pyarrow roundtrip: $nm") io = IOBuffer() Arrow.write(io, t; writekw...) seekstart(io) buf = PyCall.pybytes(take!(io)) reader = pa.ipc.open_stream(buf) sink = pa.BufferOutputStream() writer = pa.ipc.new_stream(sink, reader.schema) for batch in reader writer.write_batch(batch) end writer.close() buf = sink.getvalue() jbytes = copy(reinterpret(UInt8, buf)) tt = Arrow.Table(jbytes) println("pyarrow roundtrip w/ compression: $nm") io = IOBuffer() Arrow.write(io, t; compress=((:lz4, :zstd)[rand(1:2)]), writekw...) seekstart(io) buf = PyCall.pybytes(take!(io)) reader = pa.ipc.open_stream(buf) sink = pa.BufferOutputStream() writer = pa.ipc.new_stream(sink, reader.schema) for batch in reader writer.write_batch(batch) end writer.close() buf = sink.getvalue() jbytes = copy(reinterpret(UInt8, buf)) tt = Arrow.Table(jbytes) end f1 = pa.field("f1", pa.float64(), true) f2 = pa.field("f2", pa.int64(), false) fu = pa.field("col1", pa.union([f1, f2], "dense")) sch = pa.schema([fu]) xs = pa.array([2.0, 4.0, PyCall.pynothing[]], type=pa.float64()) ys = pa.array([1, 3], type=pa.int64()) types = pa.array([0, 1, 0, 1, 1], type=pa.int8()) offsets = pa.array([0, 0, 1, 1, 2], type=pa.int32()) union_arr = pa.UnionArray.from_dense(types, offsets, [xs, ys]) data = [union_arr] batch = pa.record_batch(data, names=["col1"]) sink = pa.BufferOutputStream() writer = pa.ipc.new_stream(sink, batch.schema) writer.write_batch(batch) writer.close() buf = sink.getvalue() jbytes = copy(reinterpret(UInt8, buf)) tt = Arrow.Table(jbytes)