| #!/usr/bin/env python |
| |
| # 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. |
| |
| import pyarrow as pa |
| import numpy as np |
| import memory_profiler |
| import gc |
| import io |
| |
| |
| def leak(): |
| data = [pa.array(np.concatenate([np.random.randn(100000)] * 1000))] |
| table = pa.Table.from_arrays(data, ['foo']) |
| while True: |
| print('calling to_pandas') |
| print('memory_usage: {0}'.format(memory_profiler.memory_usage())) |
| table.to_pandas() |
| gc.collect() |
| |
| # leak() |
| |
| |
| def leak2(): |
| data = [pa.array(np.concatenate([np.random.randn(100000)] * 10))] |
| table = pa.Table.from_arrays(data, ['foo']) |
| while True: |
| print('calling to_pandas') |
| print('memory_usage: {0}'.format(memory_profiler.memory_usage())) |
| df = table.to_pandas() |
| |
| batch = pa.RecordBatch.from_pandas(df) |
| |
| sink = io.BytesIO() |
| writer = pa.RecordBatchFileWriter(sink, batch.schema) |
| writer.write_batch(batch) |
| writer.close() |
| |
| buf_reader = pa.BufferReader(sink.getvalue()) |
| reader = pa.open_file(buf_reader) |
| reader.read_all() |
| |
| gc.collect() |
| |
| |
| leak2() |