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Posted to jira@arrow.apache.org by "David McGuire (Jira)" <ji...@apache.org> on 2020/09/17 06:28:00 UTC

[jira] [Updated] (ARROW-10029) Deadlock in the interaction of pyarrow FileSystem and ParquetDataset

     [ https://issues.apache.org/jira/browse/ARROW-10029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

David McGuire updated ARROW-10029:
----------------------------------
    Description: 
@martindurant good news (for you): I have a repro test case that is 100% {{pyarrow}}, so it looks like {{s3fs}} is not involved.

@jorisvandenbossche how should I follow up with this, based on {{pyarrow.filesystem.LocalFileSystem}}?

{quote}
import pyarrow.parquet as pq
import pyarrow.filesystem as fs

class LoggingLocalFileSystem(fs.LocalFileSystem):
    def walk(self, path):
        print(path)
        return super().walk(path)

fs = LoggingLocalFileSystem()
dataset_url = "dataset"

# Viewing the File System *directories* as a tree, one thread is required for every non-leaf node,
# in order to avoid deadlock

# 1) dataset
# 2) dataset/foo=1
# 3) dataset/foo=1/bar=2
# 4) dataset/foo=1/bar=2/baz=0
# 5) dataset/foo=1/bar=2/baz=1
# 6) dataset/foo=1/bar=2/baz=2
# *) dataset/foo=1/bar=2/baz=0/qux=false
# *) dataset/foo=1/bar=2/baz=1/qux=false
# *) dataset/foo=1/bar=2/baz=1/qux=true
# *) dataset/foo=1/bar=2/baz=0/qux=true
# *) dataset/foo=1/bar=2/baz=2/qux=false
# *) dataset/foo=1/bar=2/baz=2/qux=true

# This completes
threads = 6
dataset = pq.ParquetDataset(dataset_url, filesystem=fs, validate_schema=False, metadata_nthreads=threads)
print(len(dataset.pieces))

# This hangs indefinitely
threads = 5
dataset = pq.ParquetDataset(dataset_url, filesystem=fs, validate_schema=False, metadata_nthreads=threads)
print(len(dataset.pieces))
{quote}

{quote}
$ python repro.py 
dataset
dataset/foo=1
dataset/foo=1/bar=2
dataset/foo=1/bar=2/baz=0
dataset/foo=1/bar=2/baz=1
dataset/foo=1/bar=2/baz=2
dataset/foo=1/bar=2/baz=0/qux=false
dataset/foo=1/bar=2/baz=0/qux=true
dataset/foo=1/bar=2/baz=1/qux=false
dataset/foo=1/bar=2/baz=1/qux=true
dataset/foo=1/bar=2/baz=2/qux=false
dataset/foo=1/bar=2/baz=2/qux=true
6
dataset
dataset/foo=1
dataset/foo=1/bar=2
dataset/foo=1/bar=2/baz=0
dataset/foo=1/bar=2/baz=1
dataset/foo=1/bar=2/baz=2
^C
...
KeyboardInterrupt
^C
...
KeyboardInterrupt
{quote}

**NOTE:** this *also* happens with the un-decorated {{LocalFileSystem}}, and when omitting the {{filesystem}} argument.

  was:
@martindurant good news (for you): I have a repro test case that is 100% `pyarrow`, so it looks like `s3fs` is not involved.

@jorisvandenbossche how should I follow up with this, based on `pyarrow.filesystem.LocalFileSystem`?

```python
import pyarrow.parquet as pq
import pyarrow.filesystem as fs

class LoggingLocalFileSystem(fs.LocalFileSystem):
    def walk(self, path):
        print(path)
        return super().walk(path)

fs = LoggingLocalFileSystem()
dataset_url = "dataset"

# Viewing the File System *directories* as a tree, one thread is required for every non-leaf node,
# in order to avoid deadlock

# 1) dataset
# 2) dataset/foo=1
# 3) dataset/foo=1/bar=2
# 4) dataset/foo=1/bar=2/baz=0
# 5) dataset/foo=1/bar=2/baz=1
# 6) dataset/foo=1/bar=2/baz=2
# *) dataset/foo=1/bar=2/baz=0/qux=false
# *) dataset/foo=1/bar=2/baz=1/qux=false
# *) dataset/foo=1/bar=2/baz=1/qux=true
# *) dataset/foo=1/bar=2/baz=0/qux=true
# *) dataset/foo=1/bar=2/baz=2/qux=false
# *) dataset/foo=1/bar=2/baz=2/qux=true

# This completes
threads = 6
dataset = pq.ParquetDataset(dataset_url, filesystem=fs, validate_schema=False, metadata_nthreads=threads)
print(len(dataset.pieces))

# This hangs indefinitely
threads = 5
dataset = pq.ParquetDataset(dataset_url, filesystem=fs, validate_schema=False, metadata_nthreads=threads)
print(len(dataset.pieces))
```

```bash
$ python repro.py 
dataset
dataset/foo=1
dataset/foo=1/bar=2
dataset/foo=1/bar=2/baz=0
dataset/foo=1/bar=2/baz=1
dataset/foo=1/bar=2/baz=2
dataset/foo=1/bar=2/baz=0/qux=false
dataset/foo=1/bar=2/baz=0/qux=true
dataset/foo=1/bar=2/baz=1/qux=false
dataset/foo=1/bar=2/baz=1/qux=true
dataset/foo=1/bar=2/baz=2/qux=false
dataset/foo=1/bar=2/baz=2/qux=true
6
dataset
dataset/foo=1
dataset/foo=1/bar=2
dataset/foo=1/bar=2/baz=0
dataset/foo=1/bar=2/baz=1
dataset/foo=1/bar=2/baz=2
^C
...
KeyboardInterrupt
^C
...
KeyboardInterrupt
```

**NOTE:** this *also* happens with the un-decorated `LocalFileSystem`, and when omitting the `filesystem` argument.


> Deadlock in the interaction of pyarrow FileSystem and ParquetDataset
> --------------------------------------------------------------------
>
>                 Key: ARROW-10029
>                 URL: https://issues.apache.org/jira/browse/ARROW-10029
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 1.0.1
>            Reporter: David McGuire
>            Priority: Major
>
> @martindurant good news (for you): I have a repro test case that is 100% {{pyarrow}}, so it looks like {{s3fs}} is not involved.
> @jorisvandenbossche how should I follow up with this, based on {{pyarrow.filesystem.LocalFileSystem}}?
> {quote}
> import pyarrow.parquet as pq
> import pyarrow.filesystem as fs
> class LoggingLocalFileSystem(fs.LocalFileSystem):
>     def walk(self, path):
>         print(path)
>         return super().walk(path)
> fs = LoggingLocalFileSystem()
> dataset_url = "dataset"
> # Viewing the File System *directories* as a tree, one thread is required for every non-leaf node,
> # in order to avoid deadlock
> # 1) dataset
> # 2) dataset/foo=1
> # 3) dataset/foo=1/bar=2
> # 4) dataset/foo=1/bar=2/baz=0
> # 5) dataset/foo=1/bar=2/baz=1
> # 6) dataset/foo=1/bar=2/baz=2
> # *) dataset/foo=1/bar=2/baz=0/qux=false
> # *) dataset/foo=1/bar=2/baz=1/qux=false
> # *) dataset/foo=1/bar=2/baz=1/qux=true
> # *) dataset/foo=1/bar=2/baz=0/qux=true
> # *) dataset/foo=1/bar=2/baz=2/qux=false
> # *) dataset/foo=1/bar=2/baz=2/qux=true
> # This completes
> threads = 6
> dataset = pq.ParquetDataset(dataset_url, filesystem=fs, validate_schema=False, metadata_nthreads=threads)
> print(len(dataset.pieces))
> # This hangs indefinitely
> threads = 5
> dataset = pq.ParquetDataset(dataset_url, filesystem=fs, validate_schema=False, metadata_nthreads=threads)
> print(len(dataset.pieces))
> {quote}
> {quote}
> $ python repro.py 
> dataset
> dataset/foo=1
> dataset/foo=1/bar=2
> dataset/foo=1/bar=2/baz=0
> dataset/foo=1/bar=2/baz=1
> dataset/foo=1/bar=2/baz=2
> dataset/foo=1/bar=2/baz=0/qux=false
> dataset/foo=1/bar=2/baz=0/qux=true
> dataset/foo=1/bar=2/baz=1/qux=false
> dataset/foo=1/bar=2/baz=1/qux=true
> dataset/foo=1/bar=2/baz=2/qux=false
> dataset/foo=1/bar=2/baz=2/qux=true
> 6
> dataset
> dataset/foo=1
> dataset/foo=1/bar=2
> dataset/foo=1/bar=2/baz=0
> dataset/foo=1/bar=2/baz=1
> dataset/foo=1/bar=2/baz=2
> ^C
> ...
> KeyboardInterrupt
> ^C
> ...
> KeyboardInterrupt
> {quote}
> **NOTE:** this *also* happens with the un-decorated {{LocalFileSystem}}, and when omitting the {{filesystem}} argument.



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