galipremsagar
commented
3 years ago cc: @kaatish @vuule
Open galipremsagar opened 3 years ago
galipremsagar
commented
3 years ago cc: @kaatish @vuule
kkraus14
commented
3 years ago If the values overflow
int&uinttypes, they should be inferred asstringcolumn.
I don't think we want this behavior. Pandas infers as object which are Python integers as opposed to strings, no?
galipremsagar
commented
3 years ago Pandas infers as
objectwhich 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'>TIL... Either way, I would defer to what makes sense from a general C++ perspective instead of forcing Pandas semantics.
vuule
commented
3 years ago 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.
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commented
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commented
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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
floatcolumn. This will lead to loss of data partially.Steps/Code to reproduce bug
a.csv: a.csv.zip(Rename this toa.csv)Expected behavior If the values overflow
intand fit intouint, they should be inferred asuint. If the values overflowint&uinttypes, they should be inferred asstringcolumn.Environment overview (please complete the following information)
Environment details Please run and paste the output of the
cudf/print_env.shscript here, to gather any other relevant environment detailsClick here to see environment details
**git*** commit 402614e6acb25fad9230a6ab78e96e1c4d769230 (HEAD -> 6263) Merge: 1433bebda5 8787a647a4 Author: galipremsagar
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
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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 :
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/home/nfs/pgali/anaconda3/condabin/conda
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Additional context Surfaced in fuzz testing: #6001