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PyArrow ArrowMemoryError in 0.10 #2549

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dmadeka opened this issue Sep 12, 2018 · 8 comments
Closed

PyArrow ArrowMemoryError in 0.10 #2549

dmadeka opened this issue Sep 12, 2018 · 8 comments

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@dmadeka
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dmadeka commented Sep 12, 2018

When I try to read a table and convert it to pandas, I get a strange error I haven't seen before:

  File "pyarrow/table.pxi", line 1326, in pyarrow.lib.Table.to_pandas
  File "/home/ubuntu/src/anaconda3/envs/keras1.2_p3/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 577, in table_to_blockmanager
    blocks = _table_to_blocks(options, block_table, memory_pool, categories)
  File "/home/ubuntu/src/anaconda3/envs/keras1.2_p3/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 742, in _table_to_blocks
    categories)
  File "pyarrow/table.pxi", line 971, in pyarrow.lib.table_to_blocks
  File "pyarrow/error.pxi", line 85, in pyarrow.lib.check_status
pyarrow.lib.ArrowMemoryError
@dmadeka
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dmadeka commented Sep 12, 2018

The pyarrow version is 0.10.0

@xhochy
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xhochy commented Sep 12, 2018

This means that your system does not have enough memory left to convert the Table to a Pandas DataFrame.

@dmadeka dmadeka closed this as completed Sep 12, 2018
@wesm
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wesm commented Sep 12, 2018

@dmadeka if you get the error reproducibly in 0.10.0 but not 0.8.0 could you please open a JIRA issue

@dmadeka
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dmadeka commented Sep 12, 2018

@wesm sounds good. But I also updated a bunch of C++ libraries to install some new simd stuff. I need to backtrace that in my virtual image

@dmadeka
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dmadeka commented Sep 12, 2018

Or it could be a system thing - I need to deep dive it a bit to reproduce it meaningfully

@ghost
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ghost commented Apr 10, 2019

Hello, do you fixed the problem? i have the same problem. (pyarrow.lib.ArrowMemoryError)

@wesm
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wesm commented Apr 22, 2019

@Warfront if you can offer a reproducible example please open a JIRA issue

@ghost
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ghost commented Apr 22, 2019

@wesm the problem was that EC2 instance has not enought RAM memory.. i upgraded ram memory and Ready!

(I forget that i was working on a EC2 instance and i saw the ram memory of my pc and I did not find any problem)

Sorry for my english
Regards!!

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