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https://issues.apache.org/jira/browse/ARROW-14982?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17454112#comment-17454112
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Niranda Perera commented on ARROW-14982:
----------------------------------------
In Cylon, we do some buffer-level in-place operations. And for those we need a
deep-copy. IMO, with or without offset, the dev effort would be the same for
deep-copy isn't it?
Anyways, say we have this.
{code:java}
def deep_copy(pa.Array: arr, int offset = 0, int length = None) -> pa.Array:
{code}
So, following cases would be equivalent.
{code:java}
a = pa.Array(...)
# case 1
c1 = deep_copy(a, offset=10)
# case 2
b = a.slice(10)
...
c2 = deep_copy(b) # Deep copy, sees this as an array to be copied from 0 -->
b.length(), but internally b has an offset from slicing
assert(c1 == c2)
{code}
> [C++][Python] Create utils for deep-copying an Array/ ArrayData
> ---------------------------------------------------------------
>
> Key: ARROW-14982
> URL: https://issues.apache.org/jira/browse/ARROW-14982
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++, Python
> Reporter: Niranda Perera
> Priority: Major
>
> Hi, I would like to request a util to deep copy an Array with the following
> semantic.
>
> {code:java}
> Result<shared_ptr<ArrayData>> DeepCopyArrayData(const ArrayData& arr, int64
> offset = 0, int64 length = -1/*, pool=...*/);
> {code}
>
> This was discussed some time back in Zulip [1].
>
> [1]
> [https://ursalabs.zulipchat.com/#narrow/stream/180245-dev/topic/create.20a.20deep.20copy.20of.20buffers]
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