[BUG] Overflow ints with nulls is being inferred as float column in CSV reader

[galipremsagar]

Describe the bug
A csv files contains values greater than max(int64) and some null values. In this case, cudf CSV reader is inferring the column type to be float column. This will lead to loss of data partially.

Steps/Code to reproduce bug
a.csv: a.csv.zip(Rename this to a.csv)

>>> import cudf
>>> import pandas as pd
>>> cudf.read_csv('a.csv')['3']
0                 <NA>
1       1.77585123e+19
2                 <NA>
3      3.374168268e+18
4                 <NA>
            ...       
365               <NA>
366               <NA>
367               <NA>
368    1.430186644e+19
369               <NA>
Name: 3, Length: 370, dtype: float64
>>> pd.read_csv('a.csv')['3']
0                          
1      17758512297797920768
2                          
3       3374168267804635136
4                          
               ...         
365                        
366                        
367                        
368    14301866441110444032
369                        
Name: 3, Length: 370, dtype: object

Expected behavior
If the values overflow int and fit into uint, they should be inferred as uint.
If the values overflow int & uint types, they should be inferred as string column.

Environment overview (please complete the following information)

• Environment location: [Bare-metal]
• Method of cuDF install: [from source]

Environment details
Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Click here to see environment details

 **git***
 commit 402614e6acb25fad9230a6ab78e96e1c4d769230 (HEAD -> 6263)
 Merge: 1433bebda5 8787a647a4
 Author: galipremsagar <[email protected]>
 Date:   Wed Jan 6 09:18:35 2021 -0800
 
 Merge remote-tracking branch 'upstream/branch-0.18' into 6263
 **git submodules***
 
 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=18.04
 DISTRIB_CODENAME=bionic
 DISTRIB_DESCRIPTION="Ubuntu 18.04.4 LTS"
 NAME="Ubuntu"
 VERSION="18.04.4 LTS (Bionic Beaver)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 18.04.4 LTS"
 VERSION_ID="18.04"
 HOME_URL="https://www.ubuntu.com/"
 SUPPORT_URL="https://help.ubuntu.com/"
 BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
 PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
 VERSION_CODENAME=bionic
 UBUNTU_CODENAME=bionic
 Linux dt07 4.15.0-76-generic #86-Ubuntu SMP Fri Jan 17 17:24:28 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Wed Jan  6 09:39:24 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 |===============================+======================+======================|
 |   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |
 | N/A   48C    P8    10W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |
 | N/A   37C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |
 | N/A   33C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |
 | N/A   32C    P8    10W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                       GPU Memory |
 |  GPU       PID   Type   Process name                             Usage      |
 |=============================================================================|
 |  No running processes found                                                 |
 +-----------------------------------------------------------------------------+
 
 ***CPU***
 Architecture:        x86_64
 CPU op-mode(s):      32-bit, 64-bit
 Byte Order:          Little Endian
 CPU(s):              64
 On-line CPU(s) list: 0-63
 Thread(s) per core:  2
 Core(s) per socket:  16
 Socket(s):           2
 NUMA node(s):        2
 Vendor ID:           GenuineIntel
 CPU family:          6
 Model:               85
 Model name:          Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz
 Stepping:            4
 CPU MHz:             1405.100
 BogoMIPS:            4200.00
 Virtualization:      VT-x
 L1d cache:           32K
 L1i cache:           32K
 L2 cache:            1024K
 L3 cache:            22528K
 NUMA node0 CPU(s):   0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62
 NUMA node1 CPU(s):   1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63
 Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke md_clear flush_l1d
 
 ***CMake***
 /nvme/0/pgali/envs/cudfdev/bin/cmake
 cmake version 3.19.2
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
 Copyright (C) 2017 Free Software Foundation, Inc.
 This is free software; see the source for copying conditions.  There is NO
 warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 
 
 ***nvcc***
 /usr/local/cuda/bin/nvcc
 nvcc: NVIDIA (R) Cuda compiler driver
 Copyright (c) 2005-2019 NVIDIA Corporation
 Built on Wed_Oct_23_19:24:38_PDT_2019
 Cuda compilation tools, release 10.2, V10.2.89
 
 ***Python***
 /nvme/0/pgali/envs/cudfdev/bin/python
 Python 3.7.9
 
 ***Environment Variables***
 PATH                            : /nvme/0/pgali/envs/cudfdev/bin:/usr/share/swift/usr/bin:/home/nfs/pgali/bin:/home/nfs/pgali/.local/bin:/home/nfs/pgali/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/lib/jvm/default-java/bin:/usr/share/sbt-launcher-packaging/bin/sbt-launch.jar/bin:/usr/lib/spark/bin:/usr/lib/spark/sbin:/usr/local/cuda/bin:/nvme/0/pgali/envs/cudfdev/bin:/usr/local/cuda/bin:/nvme/0/pgali/envs/cudfdev/bin
 LD_LIBRARY_PATH                 : /usr/local/cuda/lib64:/usr/local/cuda/lib64::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /nvme/0/pgali/envs/cudfdev
 PYTHON_PATH                     :
 
 ***conda packages***
 /home/nfs/pgali/anaconda3/condabin/conda
 # packages in environment at /nvme/0/pgali/envs/cudfdev:
 #
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 tornado                   6.1              py37h4abf009_0    conda-forge
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Additional context
Surfaced in fuzz testing: #6001

[galipremsagar]

cc: @kaatish @vuule

[kkraus14]

If the values overflow int & uint types, they should be inferred as string column.

I don't think we want this behavior. Pandas infers as object which are Python integers as opposed to strings, no?

[galipremsagar]

Pandas infers as object which are Python integers as opposed to strings, no?

Not actually, pandas appears to be storing them as strings:

>>> import pandas as pd
>>> df = pd.read_csv('a.csv')
>>> df['3']
0                          
1      17758512297797920768
2                          
3       3374168267804635136
4                          
               ...         
365                        
366                        
367                        
368    14301866441110444032
369                        
Name: 3, Length: 370, dtype: object
>>> df['3'][1]
'17758512297797920768'
>>> type(df['3'][1])
<class 'str'>

[kkraus14]

TIL... Either way, I would defer to what makes sense from a general C++ perspective instead of forcing Pandas semantics.

[vuule]

In this case, cudf CSV reader is inferring the column type to be float column. This will lead to loss of data partially.

IMO this is a good reason to use strings here.

[github-actions]

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[github-actions]

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