[
https://issues.apache.org/jira/browse/ARROW-15645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ravi Gummadi updated ARROW-15645:
---------------------------------
Description:
Am facing an endianness issue on s390x(big endian) when converting the data
read through flight to pandas data frame.
(1) table.validate() fails with error
Traceback (most recent call last):
File "/tmp/2.py", line 51, in <module>
table.validate()
File "pyarrow/table.pxi", line 1232, in pyarrow.lib.Table.validate
File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: Negative offsets in
binary array
(2) table.to_pandas() gives a segmentation fault
____________
Here is a sample code that I am using:
from pyarrow import flight
import os
import json
flight_endpoint = os.environ.get("flight_server_url", "grpc+tls://...local:443")
print(flight_endpoint)
#
class TokenClientAuthHandler(flight.ClientAuthHandler):
"""An example implementation of authentication via handshake.
With the default constructor, the user token is read from the
environment: TokenClientAuthHandler().
You can also pass a user token as parameter to the constructor,
TokenClientAuthHandler(yourtoken).
"""
def {_}__{_}init{_}__{_}(self, token: str = None):
super().{_}__{_}init{_}__{_}()
if( token != None):
strToken = strToken = 'Bearer {}'.format(token)
else:
strToken = 'Bearer {}'.format(os.environ.get("some_auth_token"))
self.token = strToken.encode('utf-8')
#print(self.token)
def authenticate(self, outgoing, incoming):
outgoing.write(self.token)
self.token = incoming.read()
def get_token(self):
return self.token
readClient = flight.FlightClient(flight_endpoint)
readClient.authenticate(TokenClientAuthHandler())
cmd = json.dumps(\{...})
descriptor = flight.FlightDescriptor.for_command(cmd)
flightInfo = readClient.get_flight_info(descriptor)
reader = readClient.do_get(flightInfo.endpoints[0].ticket)
table = reader.read_all()
print(table)
print(table.num_columns)
print(table.num_rows)
table.validate()
table.to_pandas()
was:
Am facing an endianness issue on s390x(big endian) when converting the data
read through flight to pandas data frame.
(1) table.validate() fails with error
Traceback (most recent call last):
File "/tmp/2.py", line 51, in <module>
table.validate()
File "pyarrow/table.pxi", line 1232, in pyarrow.lib.Table.validate
File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: Negative offsets in
binary array
(2) table.to_pandas() gives a segmentation fault
____________
Here is a sample code that I am using:
from pyarrow import flight
import os
import json
flight_endpoint = os.environ.get("flight_server_url", "grpc+tls://...local:443")
print(flight_endpoint)
#
class TokenClientAuthHandler(flight.ClientAuthHandler):
"""An example implementation of authentication via handshake.
With the default constructor, the user token is read from the
environment: TokenClientAuthHandler().
You can also pass a user token as parameter to the constructor,
TokenClientAuthHandler(yourtoken).
"""
def _{_}init{_}_(self, token: str = None):
super()._{_}init{_}_()
if( token != None):
strToken = strToken = 'Bearer {}'.format(token)
else:
strToken = 'Bearer {}'.format(os.environ.get("some_auth_token"))
self.token = strToken.encode('utf-8')
#print(self.token)
def authenticate(self, outgoing, incoming):
outgoing.write(self.token)
self.token = incoming.read()
def get_token(self):
return self.token
readClient = flight.FlightClient(flight_endpoint)
readClient.authenticate(TokenClientAuthHandler())
cmd = json.dumps(\{...})
descriptor = flight.FlightDescriptor.for_command(cmd)
flightInfo = readClient.get_flight_info(descriptor)
reader = readClient.do_get(flightInfo.endpoints[0].ticket)
table = reader.read_all()
print(table)
print(table.num_columns)
print(table.num_rows)
table.validate()
table.to_pandas()
> Data read through Flight is having endianness issue on s390x
> ------------------------------------------------------------
>
> Key: ARROW-15645
> URL: https://issues.apache.org/jira/browse/ARROW-15645
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, FlightRPC, Python
> Affects Versions: 5.0.0
> Environment: Linux s390x (big endian)
> Reporter: Ravi Gummadi
> Priority: Major
>
> Am facing an endianness issue on s390x(big endian) when converting the data
> read through flight to pandas data frame.
> (1) table.validate() fails with error
> Traceback (most recent call last):
> File "/tmp/2.py", line 51, in <module>
> table.validate()
> File "pyarrow/table.pxi", line 1232, in pyarrow.lib.Table.validate
> File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
> pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: Negative offsets in
> binary array
> (2) table.to_pandas() gives a segmentation fault
> ____________
> Here is a sample code that I am using:
> from pyarrow import flight
> import os
> import json
> flight_endpoint = os.environ.get("flight_server_url",
> "grpc+tls://...local:443")
> print(flight_endpoint)
> #
> class TokenClientAuthHandler(flight.ClientAuthHandler):
> """An example implementation of authentication via handshake.
> With the default constructor, the user token is read from the
> environment: TokenClientAuthHandler().
> You can also pass a user token as parameter to the constructor,
> TokenClientAuthHandler(yourtoken).
> """
> def {_}__{_}init{_}__{_}(self, token: str = None):
> super().{_}__{_}init{_}__{_}()
> if( token != None):
> strToken = strToken = 'Bearer {}'.format(token)
> else:
> strToken = 'Bearer {}'.format(os.environ.get("some_auth_token"))
> self.token = strToken.encode('utf-8')
> #print(self.token)
> def authenticate(self, outgoing, incoming):
> outgoing.write(self.token)
> self.token = incoming.read()
> def get_token(self):
> return self.token
>
> readClient = flight.FlightClient(flight_endpoint)
> readClient.authenticate(TokenClientAuthHandler())
> cmd = json.dumps(\{...})
> descriptor = flight.FlightDescriptor.for_command(cmd)
> flightInfo = readClient.get_flight_info(descriptor)
> reader = readClient.do_get(flightInfo.endpoints[0].ticket)
> table = reader.read_all()
> print(table)
> print(table.num_columns)
> print(table.num_rows)
> table.validate()
> table.to_pandas()
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