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Posted to jira@arrow.apache.org by "Simon Weiß (Jira)" <ji...@apache.org> on 2022/07/20 07:13:00 UTC

[jira] [Updated] (ARROW-17137) [Python] Converting data frame to Table with large nested column fails `Invalid Struct child array has length smaller than expected`

     [ https://issues.apache.org/jira/browse/ARROW-17137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Simon Weiß updated ARROW-17137:
-------------------------------
    Description: 
Hey, 

I have a data frame for which one column is a nested struct array. Converting it to a `pyarrow.Table` fails if the data frame gets too big. I could reproduce the bug with a minimal example with anonymized data that is roughly similar to mine. When I set, e.g., `N_ROWS=500_000`, or smaller, it is working fine.

{{{code:python}}}

import pandas as pd
import pyarrow as pa

N_ROWS = 800_000
item_record = {
    "someImportantAssets": [
       

{             "square": "https://some.super.loooooooooong.link.com/withmany/lorem/upload/ipsum/stilllooooooooooonger/lorem/\\{someparameter}

/156fdjjf644984dfdfaera648/specificLink-i15348891"
        }
    ],
    "id": "i15348891",
    "title": "Some Long Item Title i15348891",
}

user_record =

{     "userId": "faa4648-4964drf-64648fafa648-4648falj",     "data": [item_record for _ in range(24)], }

df = pd.DataFrame([user_record for _ in range(N_ROWS)])
table = pa.Table.from_pandas(df)

{{{code:python}}}

```python-traceback
Traceback (most recent call last):
    table = pa.Table.from_pandas(df)
  File "pyarrow/table.pxi", line 1658, in pyarrow.lib.Table.from_pandas
  File "pyarrow/table.pxi", line 1702, in pyarrow.lib.Table.from_arrays
  File "pyarrow/table.pxi", line 1314, in pyarrow.lib.Table.validate
  File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 invalid: Invalid: List child array invalid: Invalid: Struct child array #0 has length smaller than expected for struct array (13256071 < 13256072)
```

The length is always smaller than expected by 1.

 
h2. Expected behavior:

Run without errors or fail with a better error message.

 
h2. System Info and Versions:

Apple M1 Pro but also happened on amd64 Linux machine on AWS

```
arrow-cpp                 7.0.0           py39h8a997f0_8_cpu    conda-forge
pyarrow                   7.0.0           py39h3a11367_8_cpu    conda-forge

python                    3.9.7           h54d631c_3_cpython    conda-forge
```

I could also reproduce with `pyarrow 8.0.0`

  was:
Hey, 

I have a data frame for which one column is a nested struct array. Converting it to a `pyarrow.Table` fails if the data frame gets too big. I could reproduce the bug with a minimal example with anonymized data that is roughly similar to mine. When I set, e.g., `N_ROWS=500_000`, or smaller, it is working fine.

```python

import pandas as pd
import pyarrow as pa

N_ROWS = 800_000
item_record = {
    "someImportantAssets": [
        {
            "square": "https://some.super.loooooooooong.link.com/withmany/lorem/upload/ipsum/stilllooooooooooonger/lorem/\{someparameter}/156fdjjf644984dfdfaera648/specificLink-i15348891"
        }
    ],
    "id": "i15348891",
    "title": "Some Long Item Title i15348891",
}

user_record = {
    "userId": "faa4648-4964drf-64648fafa648-4648falj",
    "data": [item_record for _ in range(24)],
}

df = pd.DataFrame([user_record for _ in range(N_ROWS)])
table = pa.Table.from_pandas(df)

```

```python-traceback
Traceback (most recent call last):
    table = pa.Table.from_pandas(df)
  File "pyarrow/table.pxi", line 1658, in pyarrow.lib.Table.from_pandas
  File "pyarrow/table.pxi", line 1702, in pyarrow.lib.Table.from_arrays
  File "pyarrow/table.pxi", line 1314, in pyarrow.lib.Table.validate
  File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 invalid: Invalid: List child array invalid: Invalid: Struct child array #0 has length smaller than expected for struct array (13256071 < 13256072)
```

The length is always smaller than expected by 1.

 
h2. Expected behavior:

Run without errors or fail with a better error message.

 
h2. System Info and Versions:

Apple M1 Pro but also happened on amd64 Linux machine on AWS

```
arrow-cpp                 7.0.0           py39h8a997f0_8_cpu    conda-forge
pyarrow                   7.0.0           py39h3a11367_8_cpu    conda-forge

python                    3.9.7           h54d631c_3_cpython    conda-forge
```

I could also reproduce with `pyarrow 8.0.0`


> [Python] Converting data frame to Table with large nested column fails `Invalid Struct child array has length smaller than expected`
> ------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-17137
>                 URL: https://issues.apache.org/jira/browse/ARROW-17137
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Simon Weiß
>            Priority: Major
>
> Hey, 
> I have a data frame for which one column is a nested struct array. Converting it to a `pyarrow.Table` fails if the data frame gets too big. I could reproduce the bug with a minimal example with anonymized data that is roughly similar to mine. When I set, e.g., `N_ROWS=500_000`, or smaller, it is working fine.
> {{{code:python}}}
> import pandas as pd
> import pyarrow as pa
> N_ROWS = 800_000
> item_record = {
>     "someImportantAssets": [
>        
> {             "square": "https://some.super.loooooooooong.link.com/withmany/lorem/upload/ipsum/stilllooooooooooonger/lorem/\\{someparameter}
> /156fdjjf644984dfdfaera648/specificLink-i15348891"
>         }
>     ],
>     "id": "i15348891",
>     "title": "Some Long Item Title i15348891",
> }
> user_record =
> {     "userId": "faa4648-4964drf-64648fafa648-4648falj",     "data": [item_record for _ in range(24)], }
> df = pd.DataFrame([user_record for _ in range(N_ROWS)])
> table = pa.Table.from_pandas(df)
> {{{code:python}}}
> ```python-traceback
> Traceback (most recent call last):
>     table = pa.Table.from_pandas(df)
>   File "pyarrow/table.pxi", line 1658, in pyarrow.lib.Table.from_pandas
>   File "pyarrow/table.pxi", line 1702, in pyarrow.lib.Table.from_arrays
>   File "pyarrow/table.pxi", line 1314, in pyarrow.lib.Table.validate
>   File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
> pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 invalid: Invalid: List child array invalid: Invalid: Struct child array #0 has length smaller than expected for struct array (13256071 < 13256072)
> ```
> The length is always smaller than expected by 1.
>  
> h2. Expected behavior:
> Run without errors or fail with a better error message.
>  
> h2. System Info and Versions:
> Apple M1 Pro but also happened on amd64 Linux machine on AWS
> ```
> arrow-cpp                 7.0.0           py39h8a997f0_8_cpu    conda-forge
> pyarrow                   7.0.0           py39h3a11367_8_cpu    conda-forge
> python                    3.9.7           h54d631c_3_cpython    conda-forge
> ```
> I could also reproduce with `pyarrow 8.0.0`



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