| Date | Lang | Batch | Benchmark | Mean | Z-Score |
|---|---|---|---|---|---|
| 2022-11-15 21:08 | Python |
file-write
|
uncompressed, feather, table, fanniemae_2016Q4
|
4.990 s | |
| 2022-11-15 21:06 | Python |
file-write
|
uncompressed, parquet, dataframe, fanniemae_2016Q4
|
19.181 s | |
| 2022-11-15 21:07 | Python |
file-write
|
snappy, parquet, table, fanniemae_2016Q4
|
10.394 s | |
| 2022-11-15 21:09 | Python |
file-write
|
uncompressed, feather, dataframe, fanniemae_2016Q4
|
13.368 s | |
| 2022-11-15 21:09 | Python |
file-write
|
lz4, feather, table, fanniemae_2016Q4
|
1.562 s | |
| 2022-11-15 21:10 | Python |
file-write
|
lz4, feather, dataframe, fanniemae_2016Q4
|
10.358 s | |
| 2022-11-15 21:05 | Python |
file-write
|
uncompressed, parquet, table, fanniemae_2016Q4
|
10.055 s | |
| 2022-11-15 21:08 | Python |
file-write
|
snappy, parquet, dataframe, fanniemae_2016Q4
|
19.495 s | |
| 2022-11-15 21:12 | Python |
file-write
|
uncompressed, feather, dataframe, nyctaxi_2010-01
|
3.369 s | |
| 2022-11-15 21:12 | Python |
file-write
|
lz4, feather, table, nyctaxi_2010-01
|
1.765 s | |
| 2022-11-15 21:12 | Python |
file-write
|
lz4, feather, dataframe, nyctaxi_2010-01
|
2.737 s | |
| 2022-11-15 21:11 | Python |
file-write
|
uncompressed, feather, table, nyctaxi_2010-01
|
1.992 s | |
| 2022-11-15 21:11 | Python |
file-write
|
snappy, parquet, dataframe, nyctaxi_2010-01
|
8.993 s | |
| 2022-11-15 21:10 | Python |
file-write
|
uncompressed, parquet, table, nyctaxi_2010-01
|
5.603 s | |
| 2022-11-15 21:11 | Python |
file-write
|
snappy, parquet, table, nyctaxi_2010-01
|
7.523 s | |
| 2022-11-15 21:10 | Python |
file-write
|
uncompressed, parquet, dataframe, nyctaxi_2010-01
|
7.059 s |