# devopsgym / codegen__minio__minio-14546 - taskset: [devopsgym](https://harnessreport.com/tasks/devopsgym.md) - difficulty: hard - category: code-generation - language: - runnable from the site: no - agent timeout: 3000s ## Results by harness _none yet_ ## Instruction ``` This is a code generation task. You are expected to write working code that solves the described problem. <issue> This was generally intuition, with select operations taking far longer than an equivalent call to s3. I then searched this repo, and couldn't find any instances of ScanRange, the param that s3 uses. It's also not mentioned in the docs, where other discussion of supported features lives. ## Expected Behavior Given a call from Python such as: ``` response = self.s3_client.select_object_content( Bucket=bucket, Key=key, ExpressionType='SQL', Expression=f"select * from s3object s where s.pk = 'pk'", InputSerialization={'CSV': {'FileHeaderInfo': 'Use', 'FieldDelimiter': '|'}}, OutputSerialization={'JSON': {}}, ScanRange={ 'Start': 0, 'End': 1000 } ) ``` I expect the call to return fairly quickly, even if the underlying file is several gigs ## Current Behavior A call similar to that one (with python and minio running in docker) takes 16 seconds. ## Your Environment * Version used (`minio --version`): docker minio/minio:RELEASE.2021-09-15T04-54-25Z </issue> Focus on implementing the required functionality correctly and efficiently. Treat this as a programming challenge. You are not allowed to read git history. ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp