| 2023-01-24 10:58 |
Python |
dataset-read
|
async=True, pre_buffer=true, nyctaxi_multi_parquet_s3
|
75.130 s |
0.755 |
|
| 2023-01-24 10:49 |
Python |
csv-read
|
uncompressed, arrow_table, file, fanniemae_2016Q4
|
1.225 s |
0.380 |
|
| 2023-01-24 10:54 |
Python |
dataframe-to-table
|
type_strings
|
0.426 s |
0.512 |
|
| 2023-01-24 10:49 |
Python |
csv-read
|
gzip, arrow_table, streaming, fanniemae_2016Q4
|
13.555 s |
1.186 |
|
| 2023-01-24 10:49 |
Python |
csv-read
|
gzip, arrow_table, file, fanniemae_2016Q4
|
5.771 s |
1.054 |
|
| 2023-01-24 10:50 |
Python |
csv-read
|
uncompressed, arrow_table, streaming, fanniemae_2016Q4
|
13.495 s |
1.245 |
|
| 2023-01-24 10:54 |
Python |
dataframe-to-table
|
type_dict
|
0.011 s |
3.151 |
|
| 2023-01-24 11:15 |
Python |
dataset-selectivity
|
1%, chi_traffic_2020_Q1
|
1.184 s |
-0.548 |
|
| 2023-01-24 11:15 |
Python |
dataset-selectivity
|
100%, chi_traffic_2020_Q1
|
1.140 s |
0.134 |
|
| 2023-01-24 11:20 |
Python |
dataset-serialize
|
feather, 100pc, nyctaxi_multi_parquet_s3
|
2.150 s |
0.561 |
|
| 2023-01-24 10:54 |
Python |
dataframe-to-table
|
type_integers
|
0.010 s |
0.449 |
|
| 2023-01-24 10:54 |
Python |
dataset-filter
|
nyctaxi_2010-01
|
1.036 s |
-0.163 |
|
| 2023-01-24 10:51 |
Python |
csv-read
|
gzip, arrow_table, file, nyctaxi_2010-01
|
8.435 s |
0.214 |
|
| 2023-01-24 10:54 |
Python |
dataframe-to-table
|
type_nested
|
2.979 s |
-1.209 |
|
| 2023-01-24 11:14 |
Python |
dataset-select
|
nyctaxi_multi_parquet_s3_repartitioned
|
1.239 s |
0.649 |
|
| 2023-01-24 11:14 |
Python |
dataset-selectivity
|
10%, nyctaxi_multi_parquet_s3
|
1.301 s |
-0.430 |
|
| 2023-01-24 11:20 |
Python |
dataset-serialize
|
arrow, 100pc, nyctaxi_multi_parquet_s3
|
2.150 s |
-0.281 |
|
| 2023-01-24 10:51 |
Python |
csv-read
|
uncompressed, arrow_table, file, nyctaxi_2010-01
|
1.122 s |
0.181 |
|
| 2023-01-24 10:54 |
Python |
dataframe-to-table
|
chi_traffic_2020_Q1
|
21.020 s |
0.075 |
|
| 2023-01-24 10:54 |
Python |
dataframe-to-table
|
type_floats
|
0.010 s |
0.236 |
|
| 2023-01-24 11:16 |
Python |
dataset-serialize
|
feather, 10pc, nyctaxi_multi_parquet_s3
|
0.199 s |
-0.495 |
|
| 2023-01-24 11:16 |
Python |
dataset-serialize
|
csv, 10pc, nyctaxi_multi_parquet_s3
|
7.261 s |
1.425 |
|
| 2023-01-24 10:51 |
Python |
csv-read
|
gzip, arrow_table, streaming, nyctaxi_2010-01
|
11.444 s |
-1.695 |
|
| 2023-01-24 11:02 |
Python |
dataset-read
|
async=True, pre_buffer=false, nyctaxi_multi_parquet_s3
|
84.271 s |
0.046 |
|
| 2023-01-24 10:52 |
Python |
csv-read
|
uncompressed, arrow_table, streaming, nyctaxi_2010-01
|
11.294 s |
-1.492 |
|
| 2023-01-24 11:15 |
Python |
dataset-serialize
|
arrow, 1pc, nyctaxi_multi_parquet_s3
|
0.023 s |
0.300 |
|
| 2023-01-24 11:15 |
Python |
dataset-serialize
|
csv, 1pc, nyctaxi_multi_parquet_s3
|
0.731 s |
1.403 |
|
| 2023-01-24 11:19 |
Python |
dataset-serialize
|
parquet, 100pc, nyctaxi_multi_parquet_s3
|
30.019 s |
1.614 |
|
| 2023-01-24 11:15 |
Python |
dataset-serialize
|
parquet, 1pc, nyctaxi_multi_parquet_s3
|
0.303 s |
1.620 |
|
| 2023-01-24 11:14 |
Python |
dataset-read
|
async=True, nyctaxi_multi_ipc_s3
|
230.872 s |
-0.678 |
|
| 2023-01-24 11:15 |
Python |
dataset-selectivity
|
1%, nyctaxi_multi_ipc_s3
|
2.030 s |
0.234 |
|
| 2023-01-24 11:14 |
Python |
dataset-selectivity
|
1%, nyctaxi_multi_parquet_s3
|
1.266 s |
-0.383 |
|
| 2023-01-24 11:15 |
Python |
dataset-selectivity
|
10%, nyctaxi_multi_ipc_s3
|
2.034 s |
0.210 |
|
| 2023-01-24 11:16 |
Python |
dataset-serialize
|
parquet, 10pc, nyctaxi_multi_parquet_s3
|
2.904 s |
1.578 |
|
| 2023-01-24 11:14 |
Python |
dataset-selectivity
|
100%, nyctaxi_multi_parquet_s3
|
1.342 s |
-0.184 |
|
| 2023-01-24 11:15 |
Python |
dataset-selectivity
|
100%, nyctaxi_multi_ipc_s3
|
1.634 s |
0.296 |
|
| 2023-01-24 11:15 |
Python |
dataset-selectivity
|
10%, chi_traffic_2020_Q1
|
1.226 s |
-0.620 |
|
| 2023-01-24 11:15 |
Python |
dataset-serialize
|
feather, 1pc, nyctaxi_multi_parquet_s3
|
0.023 s |
-1.241 |
|
| 2023-01-24 11:16 |
Python |
dataset-serialize
|
arrow, 10pc, nyctaxi_multi_parquet_s3
|
0.199 s |
-0.656 |
|
| 2023-01-24 11:27 |
Python |
dataset-serialize
|
csv, 100pc, nyctaxi_multi_parquet_s3
|
73.354 s |
1.406 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
arrow, 1pc, nyctaxi_multi_ipc_s3
|
0.026 s |
-0.427 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
csv, 1pc, nyctaxi_multi_ipc_s3
|
0.837 s |
1.312 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
parquet, 1pc, nyctaxi_multi_ipc_s3
|
0.283 s |
1.067 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
feather, 1pc, nyctaxi_multi_ipc_s3
|
0.026 s |
-0.448 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
arrow, 10pc, nyctaxi_multi_ipc_s3
|
0.225 s |
0.966 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
parquet, 10pc, nyctaxi_multi_ipc_s3
|
2.998 s |
1.200 |
|
| 2023-01-24 11:28 |
Python |
dataset-serialize
|
feather, 10pc, nyctaxi_multi_ipc_s3
|
0.226 s |
-0.431 |
|
| 2023-01-24 11:29 |
Python |
dataset-serialize
|
csv, 10pc, nyctaxi_multi_ipc_s3
|
8.396 s |
1.334 |
|
| 2023-01-24 11:32 |
Python |
dataset-serialize
|
parquet, 100pc, nyctaxi_multi_ipc_s3
|
30.431 s |
1.098 |
|
| 2023-01-24 11:33 |
Python |
dataset-serialize
|
arrow, 100pc, nyctaxi_multi_ipc_s3
|
2.407 s |
-0.066 |
|
| 2023-01-24 11:33 |
Python |
dataset-serialize
|
feather, 100pc, nyctaxi_multi_ipc_s3
|
2.410 s |
-0.208 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
snappy, parquet, dataframe, fanniemae_2016Q4
|
1.522 s |
-0.771 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
lz4, feather, dataframe, nyctaxi_2010-01
|
1.313 s |
0.512 |
|
| 2023-01-24 11:49 |
Python |
file-write
|
uncompressed, parquet, table, nyctaxi_2010-01
|
5.781 s |
0.682 |
|
| 2023-01-24 11:51 |
Python |
wide-dataframe
|
use_legacy_dataset=false
|
0.515 s |
0.096 |
|
| 2023-01-24 12:02 |
R |
dataframe-to-table
|
chi_traffic_2020_Q1, R
|
4.383 s |
-0.382 |
|
| 2023-01-24 12:19 |
R |
file-write
|
snappy, parquet, table, nyctaxi_2010-01, R
|
6.660 s |
0.737 |
|
| 2023-01-24 12:22 |
R |
file-write
|
lz4, feather, table, nyctaxi_2010-01, R
|
1.478 s |
-3.394 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
snappy, parquet, dataframe, nyctaxi_2010-01
|
0.945 s |
-0.083 |
|
| 2023-01-24 11:51 |
Python |
file-write
|
lz4, feather, table, nyctaxi_2010-01
|
1.764 s |
-0.038 |
|
| 2023-01-24 12:04 |
R |
file-read
|
snappy, parquet, dataframe, fanniemae_2016Q4, R
|
1.600 s |
-1.059 |
|
| 2023-01-24 12:04 |
R |
file-read
|
uncompressed, feather, dataframe, fanniemae_2016Q4, R
|
0.575 s |
0.086 |
|
| 2023-01-24 12:07 |
R |
file-write
|
uncompressed, parquet, table, fanniemae_2016Q4, R
|
9.717 s |
0.604 |
|
| 2023-01-24 12:14 |
R |
file-write
|
uncompressed, feather, dataframe, fanniemae_2016Q4, R
|
9.025 s |
-0.033 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
uncompressed, parquet, dataframe, fanniemae_2016Q4
|
1.632 s |
0.068 |
|
| 2023-01-24 12:02 |
R |
dataframe-to-table
|
type_dict, R
|
0.060 s |
-0.831 |
|
| 2023-01-24 12:03 |
R |
file-read
|
uncompressed, parquet, dataframe, fanniemae_2016Q4, R
|
1.607 s |
-1.407 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
uncompressed, parquet, table, fanniemae_2016Q4
|
1.648 s |
0.002 |
|
| 2023-01-24 11:51 |
Python |
file-write
|
uncompressed, feather, dataframe, nyctaxi_2010-01
|
4.096 s |
-0.040 |
|
| 2023-01-24 12:02 |
R |
dataframe-to-table
|
type_strings, R
|
0.535 s |
0.061 |
|
| 2023-01-24 12:02 |
R |
dataframe-to-table
|
type_integers, R
|
0.010 s |
-0.221 |
|
| 2023-01-24 12:04 |
R |
file-read
|
uncompressed, parquet, table, nyctaxi_2010-01, R
|
0.576 s |
-0.412 |
|
| 2023-01-24 12:06 |
R |
file-read
|
lz4, feather, dataframe, nyctaxi_2010-01, R
|
0.901 s |
0.186 |
|
| 2023-01-24 12:14 |
R |
file-write
|
lz4, feather, table, fanniemae_2016Q4, R
|
1.493 s |
-0.075 |
|
| 2023-01-24 12:15 |
R |
file-write
|
lz4, feather, dataframe, fanniemae_2016Q4, R
|
7.481 s |
-0.224 |
|
| 2023-01-24 12:16 |
R |
file-write
|
uncompressed, parquet, table, nyctaxi_2010-01, R
|
4.925 s |
0.849 |
|
| 2023-01-24 11:48 |
Python |
file-write
|
uncompressed, feather, dataframe, fanniemae_2016Q4
|
15.253 s |
-0.232 |
|
| 2023-01-24 11:50 |
Python |
file-write
|
snappy, parquet, table, nyctaxi_2010-01
|
7.690 s |
0.572 |
|
| 2023-01-24 12:03 |
R |
dataframe-to-table
|
type_nested, R
|
0.573 s |
0.380 |
|
| 2023-01-24 12:03 |
R |
file-read
|
uncompressed, parquet, table, fanniemae_2016Q4, R
|
1.347 s |
-1.245 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
lz4, feather, table, fanniemae_2016Q4
|
0.823 s |
-0.377 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
uncompressed, parquet, table, nyctaxi_2010-01
|
0.990 s |
-0.086 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
uncompressed, feather, dataframe, fanniemae_2016Q4
|
5.724 s |
-0.117 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
lz4, feather, dataframe, fanniemae_2016Q4
|
4.312 s |
-2.008 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
uncompressed, parquet, dataframe, nyctaxi_2010-01
|
0.982 s |
-0.005 |
|
| 2023-01-24 11:45 |
Python |
file-write
|
uncompressed, parquet, dataframe, fanniemae_2016Q4
|
20.110 s |
0.456 |
|
| 2023-01-24 11:48 |
Python |
file-write
|
lz4, feather, table, fanniemae_2016Q4
|
1.841 s |
-0.021 |
|
| 2023-01-24 11:50 |
Python |
file-write
|
uncompressed, feather, table, nyctaxi_2010-01
|
2.686 s |
0.022 |
|
| 2023-01-24 12:06 |
R |
file-read
|
lz4, feather, table, nyctaxi_2010-01, R
|
0.581 s |
0.160 |
|
| 2023-01-24 12:21 |
R |
file-write
|
uncompressed, feather, dataframe, nyctaxi_2010-01, R
|
2.172 s |
0.369 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
snappy, parquet, table, fanniemae_2016Q4
|
1.523 s |
-0.652 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
snappy, parquet, table, nyctaxi_2010-01
|
0.938 s |
0.013 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
uncompressed, feather, table, nyctaxi_2010-01
|
0.945 s |
0.121 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
lz4, feather, table, nyctaxi_2010-01
|
0.670 s |
0.289 |
|
| 2023-01-24 11:44 |
Python |
file-write
|
uncompressed, parquet, table, fanniemae_2016Q4
|
10.560 s |
0.443 |
|
| 2023-01-24 11:46 |
Python |
file-write
|
snappy, parquet, table, fanniemae_2016Q4
|
10.730 s |
0.790 |
|
| 2023-01-24 12:05 |
R |
file-read
|
snappy, parquet, table, nyctaxi_2010-01, R
|
0.580 s |
-0.543 |
|
| 2023-01-24 12:11 |
R |
file-write
|
snappy, parquet, dataframe, fanniemae_2016Q4, R
|
17.108 s |
0.723 |
|
| 2023-01-24 12:12 |
R |
file-write
|
uncompressed, feather, table, fanniemae_2016Q4, R
|
2.969 s |
-1.299 |
|
| 2023-01-24 11:42 |
Python |
file-read
|
uncompressed, feather, table, fanniemae_2016Q4
|
2.321 s |
0.192 |
|
| 2023-01-24 11:50 |
Python |
file-write
|
snappy, parquet, dataframe, nyctaxi_2010-01
|
9.201 s |
0.409 |
|
| 2023-01-24 12:05 |
R |
file-read
|
uncompressed, feather, table, nyctaxi_2010-01, R
|
0.215 s |
0.226 |
|
| 2023-01-24 12:23 |
R |
partitioned-dataset-filter
|
vignette, dataset-taxi-parquet, R
|
0.562 s |
0.177 |
|
| 2023-01-24 11:41 |
Python |
dataset-serialize
|
csv, 100pc, nyctaxi_multi_ipc_s3
|
83.311 s |
1.341 |
|
| 2023-01-24 11:43 |
Python |
file-read
|
uncompressed, feather, dataframe, nyctaxi_2010-01
|
1.574 s |
0.310 |
|
| 2023-01-24 11:47 |
Python |
file-write
|
uncompressed, feather, table, fanniemae_2016Q4
|
6.241 s |
-0.109 |
|
| 2023-01-24 12:02 |
R |
dataframe-to-table
|
type_floats, R
|
0.013 s |
-1.145 |
|
| 2023-01-24 12:05 |
R |
file-read
|
uncompressed, parquet, dataframe, nyctaxi_2010-01, R
|
0.919 s |
-0.147 |
|
| 2023-01-24 12:20 |
R |
file-write
|
snappy, parquet, dataframe, nyctaxi_2010-01, R
|
7.735 s |
0.441 |
|
| 2023-01-24 12:24 |
R |
partitioned-dataset-filter
|
payment_type_3, dataset-taxi-parquet, R
|
1.607 s |
-0.591 |
|
| 2023-01-24 11:47 |
Python |
file-write
|
snappy, parquet, dataframe, fanniemae_2016Q4
|
20.240 s |
0.717 |
|
| 2023-01-24 11:49 |
Python |
file-write
|
lz4, feather, dataframe, fanniemae_2016Q4
|
10.875 s |
0.070 |
|
| 2023-01-24 11:49 |
Python |
file-write
|
uncompressed, parquet, dataframe, nyctaxi_2010-01
|
7.302 s |
0.451 |
|
| 2023-01-24 11:51 |
Python |
file-write
|
lz4, feather, dataframe, nyctaxi_2010-01
|
3.183 s |
-0.031 |
|
| 2023-01-24 11:51 |
Python |
wide-dataframe
|
use_legacy_dataset=true
|
0.375 s |
0.334 |
|
| 2023-01-24 12:04 |
R |
file-read
|
uncompressed, feather, table, fanniemae_2016Q4, R
|
0.318 s |
0.162 |
|
| 2023-01-24 12:04 |
R |
file-read
|
lz4, feather, table, fanniemae_2016Q4, R
|
0.597 s |
0.142 |
|
| 2023-01-24 12:10 |
R |
file-write
|
snappy, parquet, table, fanniemae_2016Q4, R
|
10.137 s |
0.586 |
|
| 2023-01-24 12:24 |
R |
partitioned-dataset-filter
|
dims, dataset-taxi-parquet, R
|
0.593 s |
0.629 |
|
| 2023-01-24 12:03 |
R |
file-read
|
snappy, parquet, table, fanniemae_2016Q4, R
|
1.351 s |
-1.395 |
|
| 2023-01-24 12:05 |
R |
file-read
|
uncompressed, feather, dataframe, nyctaxi_2010-01, R
|
0.817 s |
0.144 |
|
| 2023-01-24 12:21 |
R |
file-write
|
uncompressed, feather, table, nyctaxi_2010-01, R
|
1.309 s |
0.822 |
|
| 2023-01-24 12:24 |
R |
partitioned-dataset-filter
|
small_no_files, dataset-taxi-parquet, R
|
0.259 s |
-1.202 |
|
| 2023-01-24 12:04 |
R |
file-read
|
lz4, feather, dataframe, fanniemae_2016Q4, R
|
0.854 s |
0.197 |
|
| 2023-01-24 12:05 |
R |
file-read
|
snappy, parquet, dataframe, nyctaxi_2010-01, R
|
0.926 s |
-0.639 |
|
| 2023-01-24 12:09 |
R |
file-write
|
uncompressed, parquet, dataframe, fanniemae_2016Q4, R
|
16.647 s |
0.778 |
|
| 2023-01-24 12:18 |
R |
file-write
|
uncompressed, parquet, dataframe, nyctaxi_2010-01, R
|
5.784 s |
0.380 |
|
| 2023-01-24 12:23 |
R |
file-write
|
lz4, feather, dataframe, nyctaxi_2010-01, R
|
2.081 s |
0.012 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
uint16Array
|
0.002 s |
0.631 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
uint32Array
|
0.002 s |
0.581 |
|
| 2023-01-24 12:34 |
JavaScript |
vectorFromArray
|
numbers
|
0.016 s |
0.372 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
uint8Array
|
0.002 s |
0.018 |
|
| 2023-01-24 12:34 |
JavaScript |
vectorFromArray
|
booleans
|
0.018 s |
0.157 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
int32Array
|
0.002 s |
0.578 |
|
| 2023-01-24 12:34 |
JavaScript |
vectorFromArray
|
dictionary
|
0.017 s |
0.529 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
uint64Array
|
0.004 s |
0.344 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
uint32Array
|
0.007 s |
0.741 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
float32Array
|
0.008 s |
0.325 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread Vector
|
numbers
|
0.008 s |
0.314 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread Vector
|
booleans
|
0.010 s |
-0.351 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
uint8Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
uint16Array
|
|
|
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
int8Array
|
0.002 s |
0.529 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
int16Array
|
0.002 s |
0.409 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
booleans
|
0.004 s |
-1.107 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
int32Array
|
0.006 s |
0.224 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
int64Array
|
0.004 s |
-0.436 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
float64Array
|
0.002 s |
0.934 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread Vector
|
dictionary
|
0.010 s |
0.612 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
float32Array
|
0.002 s |
0.757 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
string
|
0.131 s |
-3.663 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
int16Array
|
0.007 s |
-0.041 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
string
|
0.151 s |
-3.227 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
uint8Array
|
0.003 s |
0.456 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
int16Array
|
|
|
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
numbers
|
0.002 s |
0.823 |
|
| 2023-01-24 12:34 |
JavaScript |
Iterate Vector
|
dictionary
|
0.004 s |
0.926 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
uint8Array
|
0.006 s |
0.501 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
uint16Array
|
0.006 s |
0.230 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
uint64Array
|
0.012 s |
-1.350 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
int8Array
|
0.006 s |
0.360 |
|
| 2023-01-24 12:34 |
JavaScript |
Spread Vector
|
int64Array
|
0.012 s |
-0.798 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
int32Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
int64Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
float32Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
Spread Vector
|
float64Array
|
0.008 s |
0.313 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
float64Array
|
0.002 s |
-0.328 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
numbers
|
0.002 s |
-0.168 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
booleans
|
0.002 s |
-0.834 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
uint32Array
|
0.003 s |
0.948 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
float32Array
|
0.002 s |
-0.306 |
|
| 2023-01-24 12:35 |
JavaScript |
Get values by index
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
0.395 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread Vector
|
string
|
0.150 s |
-2.216 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
int8Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
Parse
|
write recordBatches, tracks
|
0.002 s |
-1.328 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
uint32Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
uint64Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
Slice toArray vectors
|
lat, 1,000,000, Float32, tracks
|
0.000 s |
-0.705 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
float64Array
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
numbers
|
|
|
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
booleans
|
0.010 s |
-0.653 |
|
| 2023-01-24 12:35 |
JavaScript |
toArray Vector
|
dictionary
|
0.010 s |
0.894 |
|
| 2023-01-24 12:35 |
JavaScript |
Get values by index
|
lng, 1,000,000, Float32, tracks
|
0.030 s |
0.710 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
uint16Array
|
0.003 s |
0.560 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
int64Array
|
0.003 s |
0.414 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
dictionary
|
0.002 s |
1.125 |
|
| 2023-01-24 12:35 |
JavaScript |
Parse
|
read recordBatches, tracks
|
0.000 s |
-1.806 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
uint64Array
|
0.003 s |
1.335 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
int8Array
|
0.003 s |
0.861 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
int16Array
|
0.003 s |
0.647 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
int32Array
|
0.003 s |
0.901 |
|
| 2023-01-24 12:35 |
JavaScript |
get Vector
|
string
|
0.129 s |
-3.542 |
|
| 2023-01-24 12:35 |
JavaScript |
Get values by index
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
0.767 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
-0.117 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
-0.003 |
|
| 2023-01-24 12:35 |
JavaScript |
Table
|
tracks, 1,000,000
|
0.050 s |
1.173 |
|
| 2023-01-24 12:35 |
JavaScript |
Table
|
tracks, 1,000,000
|
0.288 s |
-1.275 |
|
| 2023-01-24 12:35 |
JavaScript |
Table
|
1,000,000, tracks
|
0.285 s |
-0.426 |
|
| 2023-01-24 12:35 |
JavaScript |
Table
|
tracks, 1,000,000
|
0.095 s |
-0.494 |
|
| 2023-01-24 12:35 |
JavaScript |
Table Direct Count
|
lat, 1,000,000, gt, Float32, 0, tracks
|
0.032 s |
0.379 |
|
| 2023-01-24 12:35 |
JavaScript |
Get values by index
|
lat, 1,000,000, Float32, tracks
|
0.030 s |
0.903 |
|
| 2023-01-24 12:35 |
JavaScript |
Iterate vectors
|
lat, 1,000,000, Float32, tracks
|
0.023 s |
0.517 |
|
| 2023-01-24 12:35 |
JavaScript |
Slice vectors
|
lng, 1,000,000, Float32, tracks
|
0.000 s |
|
|
| 2023-01-24 12:35 |
JavaScript |
Slice vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.000 s |
|
|
| 2023-01-24 12:35 |
JavaScript |
Iterate vectors
|
lng, 1,000,000, Float32, tracks
|
0.023 s |
0.555 |
|
| 2023-01-24 12:35 |
JavaScript |
Slice toArray vectors
|
lng, 1,000,000, Float32, tracks
|
0.000 s |
-0.584 |
|
| 2023-01-24 12:35 |
JavaScript |
Slice toArray vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.109 s |
-0.836 |
|
| 2023-01-24 12:35 |
JavaScript |
Iterate vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
1.018 |
|
| 2023-01-24 12:35 |
JavaScript |
Slice vectors
|
lat, 1,000,000, Float32, tracks
|
0.000 s |
|
|
| 2023-01-24 12:35 |
JavaScript |
Iterate vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
0.993 |
|
| 2023-01-24 12:35 |
JavaScript |
Slice toArray vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
-0.555 |
|
| 2023-01-24 12:35 |
JavaScript |
Slice vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.000 s |
|
|
| 2023-01-24 12:35 |
JavaScript |
Spread vectors
|
lat, 1,000,000, Float32, tracks
|
0.188 s |
-0.143 |
|
| 2023-01-24 12:35 |
JavaScript |
Spread vectors
|
lng, 1,000,000, Float32, tracks
|
0.193 s |
-1.952 |
|
| 2023-01-24 12:35 |
JavaScript |
Table Direct Count
|
lng, 1,000,000, gt, Float32, 0, tracks
|
0.032 s |
-0.336 |
|
| 2023-01-24 12:35 |
JavaScript |
Table Direct Count
|
origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks
|
0.032 s |
-0.438 |
|