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These are the arguments (the defaults from are {arrowbench} are ~what we want to run, though I'm happy to adjust them if we decide that only a subset of sources should be default)
It supports all of the arrowbench sources (though we don't need to run all of them, the first three are probably most important) as the source argument:
fanniemae_2016Q4
nyctaxi_2010-01
chi_traffic_2020_Q1
type_strings
type_dict
type_integers
type_floats
type_nested
type_simple_features
It supports uncompressed and gzip compressed files as the compression argument
It supports output formats arrow_table and data_frame as the output argument
The reader argument should be arrow (the other readers it knows how to test are not important for and should not be run on conbench)
The text was updated successfully, but these errors were encountered:
Arrow bench has a read_csv benchmark that would be nice to have.
These are the arguments (the defaults from are {arrowbench} are ~what we want to run, though I'm happy to adjust them if we decide that only a subset of sources should be default)
source
argument:uncompressed
andgzip
compressed files as thecompression
argumentarrow_table
anddata_frame
as theoutput
argumentreader
argument should bearrow
(the other readers it knows how to test are not important for and should not be run on conbench)The text was updated successfully, but these errors were encountered: