Lingkai Kong created ARROW-14429: ------------------------------------ Summary: RecordBatchFileReader performance really bad in S3 Key: ARROW-14429 URL: https://issues.apache.org/jira/browse/ARROW-14429 Project: Apache Arrow Issue Type: Bug Components: Python Affects Versions: 5.0.0 Reporter: Lingkai Kong
We are using RecordBatchFileWriter to write Arrow type directly to S3 using the S3FileSystem, then using RecordBatchFileReader to read from S3. The write is pretty efficient, write a 50MB finishes within 0.2s. But reading that file is taking 30s, which is definitely too long. Then I did several tests: # I tried to use S3FileSystem to read the file into bytes, it's only taking 1s. which somehow makes me believe it's an issue with RecordBatchFileReader # Half the size (around 25MB), with [RecordBatchFileReader|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatchFileReader.html] took 17s, without [RecordBatchFileReader|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatchFileReader.html] took 0.28s # Double the size (around 100MB), with [RecordBatchFileReader|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatchFileReader.html] took 61s, without [RecordBatchFileReader|https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatchFileReader.html] took 2.3s # I tried to get all bytes using S3FileSystem first, then create a reader from the bytes. Then read all context from the reader, it's only taking 0.1s. -- This message was sent by Atlassian Jira (v8.3.4#803005)