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https://issues.apache.org/jira/browse/ARROW-5318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ivan Dimitrov updated ARROW-5318:
---------------------------------
    Description: 
When reading using HdfsFilesystem's read method, the amount is not constant and 
flactuates between extra 0% to 300%.

Example code 
{code:java}
fs = hdfs.connect(hostname, driver='libhdfs')
f = fs.open(dataset_path)

f.read(nbytes=3500000){code}
In this case, the read can send back up to 15 M bytes. The issue is true with 
'libhdfs3' as well. Also present in newer versions of pyarrow. 

 

 

  was:
When reading using HdfsFilesystem's read method, the amount is not constant and 
flactuates between extra 0% to 300%.

Example code 
{code:java}
fs = hdfs.connect(hostname, driver='libhdfs')
f = fs.open(dataset_path)

f.read(nbytes=3500000){code}
In this case, the read can send back up to 15 M bytes. The issue is true with 
'libhdfs3' as well. Also present in newer versions of pyarrow. 

 


> pyarrow hdfs reader overrequests  
> ----------------------------------
>
>                 Key: ARROW-5318
>                 URL: https://issues.apache.org/jira/browse/ARROW-5318
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.10.0
>            Reporter: Ivan Dimitrov
>            Priority: Blocker
>
> When reading using HdfsFilesystem's read method, the amount is not constant 
> and flactuates between extra 0% to 300%.
> Example code 
> {code:java}
> fs = hdfs.connect(hostname, driver='libhdfs')
> f = fs.open(dataset_path)
> f.read(nbytes=3500000){code}
> In this case, the read can send back up to 15 M bytes. The issue is true with 
> 'libhdfs3' as well. Also present in newer versions of pyarrow. 
>  
>  



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