[ 
https://issues.apache.org/jira/browse/ARROW-1644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16979315#comment-16979315
 ] 

Rinke Hoekstra commented on ARROW-1644:
---------------------------------------

I was just trying this with the example found in the pyarrow docs at 
[http://arrow.apache.org/docs/python/json.html]

The documented example does not work. Is this related to this issue, or is it 
another matter?

It says to load the following JSON file:

```\{"a": [1, 2], "b": {"c": true, "d": "1991-02-03"}}
{"a": [3, 4, 5], "b": \{"c": false, "d": "2019-04-01"}}```

I fixed this to make it valid (but that's another issue):

```
[\{"a": [1, 2], "b": {"c": true, "d": "1991-02-03"}},
{"a": [3, 4, 5], "b": \{"c": false, "d": "2019-04-01"}}]
```

Then reading the JSON from a file called `my_data.json`:

```
from pyarrow import json
table = json.read_json("my_data.json")
```
Gives the following error:
```
---------------------------------------------------------------------------
ArrowInvalid Traceback (most recent call last)
<ipython-input-69-f974c21f0941> in <module>()
 1 from pyarrow import json
----> 2 table = json.read_json('test.json')

~/.local/share/virtualenvs/parquet-ifRxINoC/lib/python3.7/site-packages/pyarrow/_json.pyx
 in pyarrow._json.read_json()

~/.local/share/virtualenvs/parquet-ifRxINoC/lib/python3.7/site-packages/pyarrow/error.pxi
 in pyarrow.lib.check_status()

ArrowInvalid: JSON parse error: A column changed from object to array
```

> [C++][Parquet] Read and write nested Parquet data with a mix of struct and 
> list nesting levels
> ----------------------------------------------------------------------------------------------
>
>                 Key: ARROW-1644
>                 URL: https://issues.apache.org/jira/browse/ARROW-1644
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: C++, Python
>    Affects Versions: 0.8.0
>            Reporter: DB Tsai
>            Assignee: Micah Kornfield
>            Priority: Major
>              Labels: parquet, pull-request-available
>             Fix For: 1.0.0
>
>
> We have many nested parquet files generated from Apache Spark for ranking 
> problems, and we would like to load them in python for other programs to 
> consume. 
> The schema looks like 
> {code:java}
> root
>  |-- profile_id: long (nullable = true)
>  |-- country_iso_code: string (nullable = true)
>  |-- items: array (nullable = false)
>  |    |-- element: struct (containsNull = false)
>  |    |    |-- show_title_id: integer (nullable = true)
>  |    |    |-- duration: double (nullable = true)
> {code}
> And when I tried to load it with nightly build pyarrow on Oct 4, 2017, I got 
> the following error.
> {code:python}
> Python 3.6.2 |Anaconda, Inc.| (default, Sep 30 2017, 18:42:57) 
> [GCC 7.2.0] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import numpy as np
> >>> import pandas as pd
> >>> import pyarrow as pa
> >>> import pyarrow.parquet as pq
> >>> table2 = pq.read_table('part-00000')
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/home/dbt/miniconda3/lib/python3.6/site-packages/pyarrow/parquet.py", 
> line 823, in read_table
>     use_pandas_metadata=use_pandas_metadata)
>   File "/home/dbt/miniconda3/lib/python3.6/site-packages/pyarrow/parquet.py", 
> line 119, in read
>     nthreads=nthreads)
>   File "_parquet.pyx", line 466, in pyarrow._parquet.ParquetReader.read_all
>   File "error.pxi", line 85, in pyarrow.lib.check_status
> pyarrow.lib.ArrowNotImplementedError: lists with structs are not supported.
> {code}
> I somehow get the impression that after 
> https://issues.apache.org/jira/browse/PARQUET-911 is merged, we should be 
> able to load the nested parquet in pyarrow. 
> Any insight about this? 
> Thanks.



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