0x26res opened a new issue, #41351:
URL: https://github.com/apache/arrow/issues/41351
### Describe the bug, including details regarding any error messages,
version, and platform.
I apologise in advance, this issue is contrived
I start with a chunked array of list of struct, for example
`pa.list_(pa.struct([pa.field("value", pa.float64())]))`.
I construct the chunked array in such a way that **the underlying values of
the list are shared among the array chunks.**
```python
values = pa.StructArray.from_arrays([pa.array([1, 2, 3, 4, 5, 6, 7])],
["values"])
my_array = pa.chunked_array(
[
pa.ListArray.from_arrays(
[0, 1, 2, 3],
values,
),
pa.ListArray.from_arrays(
[3, 4, 5, 6],
values,
),
]
)
```
I then try to flatten/explode the list array:
```python
flatten = pc.list_flatten(my_array)
```
And create a table from the flatten array chunks:
```
table = pa.Table.from_batches(
(pa.RecordBatch.from_struct_array(chunk) for chunk in
flatten.iterchunks()),
)
```
I then add a column to the table and call `to_batches` and it causes a seg
fault:
```
table.append_column("name", pa.repeat("foo", len(table))).to_batches()
```
One thing I've noticed is that the first chunk of the `flatten` array has
got a wrong `str` representation:
```
assert (
str(pa.RecordBatch.from_struct_array(flatten.chunks[0]))
== "pyarrow.RecordBatch\nvalues: int64\n----\nvalues: [1,2,3,4,5,6,7]"
)
```
It should show `[1,2,3]`
Full example:
```
import pyarrow as pa
import pyarrow.compute as pc
pa.list_(pa.struct([pa.field("value", pa.float64())]))
def test_wrong():
values = pa.StructArray.from_arrays([pa.array([1, 2, 3, 4, 5, 6, 7])],
["values"])
my_array = pa.chunked_array(
[
pa.ListArray.from_arrays(
[0, 1, 2, 3],
values,
),
pa.ListArray.from_arrays(
[3, 4, 5, 6],
values,
),
]
)
flatten = pc.list_flatten(my_array)
assert flatten.to_pylist() == [
{"values": 1},
{"values": 2},
{"values": 3},
{"values": 4},
{"values": 5},
{"values": 6},
]
assert pa.RecordBatch.from_struct_array(flatten.chunks[0]).to_pylist()
== [
{"values": 1},
{"values": 2},
{"values": 3},
]
assert (
str(pa.RecordBatch.from_struct_array(flatten.chunks[0]))
== "pyarrow.RecordBatch\nvalues: int64\n----\nvalues:
[1,2,3,4,5,6,7]"
)
pa.Table.from_batches([pa.RecordBatch.from_struct_array(flatten.chunks[0])])
table = pa.Table.from_batches(
(pa.RecordBatch.from_struct_array(chunk) for chunk in
flatten.iterchunks()),
)
table = table.append_column("name", pa.repeat("foo", len(table)))
table.to_batches()
```
A bit of context:
- tested with `pyarrow==16.0.0`
- this came up when exploding and filtering some data coming from parquet
- The example doesn't work if you omit the last element of the underlying
values (`7`).
### Component(s)
Python
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