|
0.407% |
Python |
file-write
|
snappy, parquet, dataframe, nyctaxi_2010-01
|
9.029 s |
8.993 s |
|
-0.396% |
Python |
file-write
|
snappy, parquet, table, fanniemae_2016Q4
|
10.353 s |
10.394 s |
|
-0.240% |
Python |
file-write
|
uncompressed, parquet, table, fanniemae_2016Q4
|
10.031 s |
10.055 s |
|
1.835% |
Python |
file-write
|
uncompressed, parquet, dataframe, fanniemae_2016Q4
|
19.540 s |
19.181 s |
|
1.758% |
Python |
file-write
|
snappy, parquet, dataframe, fanniemae_2016Q4
|
19.843 s |
19.495 s |
|
0.050% |
Python |
file-write
|
lz4, feather, table, fanniemae_2016Q4
|
1.563 s |
1.562 s |
|
2.816% |
Python |
file-write
|
uncompressed, feather, dataframe, fanniemae_2016Q4
|
13.755 s |
13.368 s |
|
1.525% |
Python |
file-write
|
uncompressed, feather, table, fanniemae_2016Q4
|
5.067 s |
4.990 s |
|
-0.220% |
Python |
file-write
|
uncompressed, parquet, table, nyctaxi_2010-01
|
5.591 s |
5.603 s |
|
3.296% |
Python |
file-write
|
lz4, feather, dataframe, fanniemae_2016Q4
|
10.711 s |
10.358 s |
|
0.715% |
Python |
file-write
|
uncompressed, parquet, dataframe, nyctaxi_2010-01
|
7.110 s |
7.059 s |
|
-0.888% |
Python |
file-write
|
uncompressed, feather, table, nyctaxi_2010-01
|
1.975 s |
1.992 s |
|
0.105% |
Python |
file-write
|
snappy, parquet, table, nyctaxi_2010-01
|
7.531 s |
7.523 s |
|
2.259% |
Python |
file-write
|
uncompressed, feather, dataframe, nyctaxi_2010-01
|
3.447 s |
3.369 s |
|
2.032% |
Python |
file-write
|
lz4, feather, dataframe, nyctaxi_2010-01
|
2.794 s |
2.737 s |
|
1.395% |
Python |
file-write
|
lz4, feather, table, nyctaxi_2010-01
|
1.790 s |
1.765 s |