(oh, sorry I misread `pa.scalar` as `pc.scalar`, so please try
`pyarrow.scalar` per the documentation)
Aldrin Montana
Computer Science PhD Student
UC Santa Cruz
On Thu, Sep 15, 2022 at 5:26 PM Aldrin wrote:
> For Question 2:
> At a glance, I don't see anything in adlfs or azure that is able
For Question 2:
At a glance, I don't see anything in adlfs or azure that is able to do
partial reads of a blob. If you're using block blobs, then likely you would
want to store blocks of your file as separate blocks of a blob, and then
you can do partial data transfers that way. I could be
this jira
https://issues.apache.org/jira/browse/ARROW-17740
1057445597
1057445...@qq.com
----
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"user"
Hi,
You can give pycylon a try [1]. It has a similar API endpoint in
pycylon.dataframe interface [2].
Best
[1] https://github.com/cylondata/cylon
[2]
https://github.com/cylondata/cylon/blob/main/python/pycylon/examples/dataframe/join.py
On Thu, Sep 15, 2022 at 10:04 AM 1057445597
Hi!
Why don't you use arrow Table join directly ?
https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.join
Though you need to be careful with join order as speed may be differ
depending on order of the joined tables.
BR,
Jacek
czw., 15 wrz 2022 o 06:15 Weston
