| 2023-01-24 09:03 |
Python |
dataset-selectivity
|
100%, nyctaxi_multi_parquet_s3
|
1.357 s |
-0.329 |
|
| 2023-01-24 08:44 |
Python |
dataframe-to-table
|
type_integers
|
0.010 s |
1.077 |
|
| 2023-01-24 09:04 |
Python |
dataset-selectivity
|
100%, chi_traffic_2020_Q1
|
1.136 s |
0.269 |
|
| 2023-01-24 09:09 |
Python |
dataset-serialize
|
feather, 100pc, nyctaxi_multi_parquet_s3
|
2.156 s |
-1.919 |
|
| 2023-01-24 09:17 |
Python |
dataset-serialize
|
arrow, 10pc, nyctaxi_multi_ipc_s3
|
0.225 s |
0.434 |
|
| 2023-01-24 08:39 |
Python |
csv-read
|
gzip, arrow_table, file, fanniemae_2016Q4
|
5.775 s |
0.730 |
|
| 2023-01-24 08:41 |
Python |
csv-read
|
gzip, arrow_table, file, nyctaxi_2010-01
|
8.432 s |
0.795 |
|
| 2023-01-24 08:44 |
Python |
dataframe-to-table
|
type_dict
|
0.011 s |
3.970 |
|
| 2023-01-24 09:03 |
Python |
dataset-selectivity
|
1%, nyctaxi_multi_parquet_s3
|
1.233 s |
-0.140 |
|
| 2023-01-24 09:03 |
Python |
dataset-selectivity
|
10%, nyctaxi_multi_ipc_s3
|
2.032 s |
0.217 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
feather, 1pc, nyctaxi_multi_parquet_s3
|
0.023 s |
0.177 |
|
| 2023-01-24 09:18 |
Python |
dataset-serialize
|
csv, 10pc, nyctaxi_multi_ipc_s3
|
8.390 s |
1.420 |
|
| 2023-01-24 08:39 |
Python |
csv-read
|
uncompressed, arrow_table, file, fanniemae_2016Q4
|
1.253 s |
0.085 |
|
| 2023-01-24 08:39 |
Python |
csv-read
|
gzip, arrow_table, streaming, fanniemae_2016Q4
|
13.503 s |
1.348 |
|
| 2023-01-24 08:40 |
Python |
csv-read
|
uncompressed, arrow_table, streaming, fanniemae_2016Q4
|
13.535 s |
1.119 |
|
| 2023-01-24 08:41 |
Python |
csv-read
|
uncompressed, arrow_table, file, nyctaxi_2010-01
|
1.130 s |
0.109 |
|
| 2023-01-24 08:41 |
Python |
csv-read
|
gzip, arrow_table, streaming, nyctaxi_2010-01
|
11.392 s |
-1.575 |
|
| 2023-01-24 08:42 |
Python |
csv-read
|
uncompressed, arrow_table, streaming, nyctaxi_2010-01
|
11.368 s |
-1.666 |
|
| 2023-01-24 08:44 |
Python |
dataframe-to-table
|
chi_traffic_2020_Q1
|
20.890 s |
0.856 |
|
| 2023-01-24 08:44 |
Python |
dataframe-to-table
|
type_strings
|
0.426 s |
0.472 |
|
| 2023-01-24 08:44 |
Python |
dataframe-to-table
|
type_floats
|
0.010 s |
0.041 |
|
| 2023-01-24 08:44 |
Python |
dataframe-to-table
|
type_nested
|
2.949 s |
1.001 |
|
| 2023-01-24 08:44 |
Python |
dataset-filter
|
nyctaxi_2010-01
|
1.031 s |
-0.059 |
|
| 2023-01-24 08:48 |
Python |
dataset-read
|
async=True, pre_buffer=true, nyctaxi_multi_parquet_s3
|
68.701 s |
1.530 |
|
| 2023-01-24 08:52 |
Python |
dataset-read
|
async=True, pre_buffer=false, nyctaxi_multi_parquet_s3
|
82.687 s |
0.625 |
|
| 2023-01-24 09:03 |
Python |
dataset-read
|
async=True, nyctaxi_multi_ipc_s3
|
214.898 s |
0.939 |
|
| 2023-01-24 09:03 |
Python |
dataset-select
|
nyctaxi_multi_parquet_s3_repartitioned
|
1.256 s |
0.522 |
|
| 2023-01-24 09:03 |
Python |
dataset-selectivity
|
10%, nyctaxi_multi_parquet_s3
|
1.264 s |
-0.156 |
|
| 2023-01-24 09:03 |
Python |
dataset-selectivity
|
1%, nyctaxi_multi_ipc_s3
|
2.047 s |
0.183 |
|
| 2023-01-24 09:03 |
Python |
dataset-selectivity
|
100%, nyctaxi_multi_ipc_s3
|
1.663 s |
0.232 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
csv, 1pc, nyctaxi_multi_parquet_s3
|
0.732 s |
1.335 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
parquet, 10pc, nyctaxi_multi_parquet_s3
|
2.905 s |
1.511 |
|
| 2023-01-24 09:05 |
Python |
dataset-serialize
|
csv, 10pc, nyctaxi_multi_parquet_s3
|
7.279 s |
1.327 |
|
| 2023-01-24 09:09 |
Python |
dataset-serialize
|
arrow, 100pc, nyctaxi_multi_parquet_s3
|
2.151 s |
-0.719 |
|
| 2023-01-24 09:16 |
Python |
dataset-serialize
|
feather, 1pc, nyctaxi_multi_ipc_s3
|
0.026 s |
-1.420 |
|
| 2023-01-24 09:17 |
Python |
dataset-serialize
|
parquet, 10pc, nyctaxi_multi_ipc_s3
|
3.001 s |
1.069 |
|
| 2023-01-24 09:04 |
Python |
dataset-selectivity
|
1%, chi_traffic_2020_Q1
|
1.183 s |
-0.510 |
|
| 2023-01-24 09:16 |
Python |
dataset-serialize
|
csv, 100pc, nyctaxi_multi_parquet_s3
|
73.518 s |
1.316 |
|
| 2023-01-24 09:16 |
Python |
dataset-serialize
|
arrow, 1pc, nyctaxi_multi_ipc_s3
|
0.026 s |
0.112 |
|
| 2023-01-24 09:22 |
Python |
dataset-serialize
|
feather, 100pc, nyctaxi_multi_ipc_s3
|
2.409 s |
0.208 |
|
| 2023-01-24 09:30 |
Python |
dataset-serialize
|
csv, 100pc, nyctaxi_multi_ipc_s3
|
83.225 s |
1.441 |
|
| 2023-01-24 09:04 |
Python |
dataset-selectivity
|
10%, chi_traffic_2020_Q1
|
1.212 s |
-0.078 |
|
| 2023-01-24 09:17 |
Python |
dataset-serialize
|
feather, 10pc, nyctaxi_multi_ipc_s3
|
0.227 s |
-1.786 |
|
| 2023-01-24 09:21 |
Python |
dataset-serialize
|
parquet, 100pc, nyctaxi_multi_ipc_s3
|
30.428 s |
1.089 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
parquet, 1pc, nyctaxi_multi_parquet_s3
|
0.303 s |
1.729 |
|
| 2023-01-24 09:17 |
Python |
dataset-serialize
|
csv, 1pc, nyctaxi_multi_ipc_s3
|
0.835 s |
1.437 |
|
| 2023-01-24 09:21 |
Python |
dataset-serialize
|
arrow, 100pc, nyctaxi_multi_ipc_s3
|
2.404 s |
0.775 |
|
| 2023-01-24 09:30 |
Python |
file-read
|
uncompressed, parquet, table, fanniemae_2016Q4
|
1.654 s |
-0.089 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
arrow, 1pc, nyctaxi_multi_parquet_s3
|
0.023 s |
-0.305 |
|
| 2023-01-24 09:16 |
Python |
dataset-serialize
|
parquet, 1pc, nyctaxi_multi_ipc_s3
|
0.284 s |
0.760 |
|
| 2023-01-24 09:30 |
Python |
file-read
|
uncompressed, parquet, dataframe, fanniemae_2016Q4
|
1.639 s |
-0.043 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
arrow, 10pc, nyctaxi_multi_parquet_s3
|
0.199 s |
-0.402 |
|
| 2023-01-24 09:08 |
Python |
dataset-serialize
|
parquet, 100pc, nyctaxi_multi_parquet_s3
|
30.029 s |
1.564 |
|
| 2023-01-24 09:04 |
Python |
dataset-serialize
|
feather, 10pc, nyctaxi_multi_parquet_s3
|
0.199 s |
0.388 |
|
| 2023-01-24 09:31 |
Python |
file-read
|
snappy, parquet, dataframe, fanniemae_2016Q4
|
1.529 s |
-1.096 |
|
| 2023-01-24 09:31 |
Python |
file-read
|
snappy, parquet, table, fanniemae_2016Q4
|
1.528 s |
-0.856 |
|
| 2023-01-24 09:31 |
Python |
file-read
|
uncompressed, feather, table, fanniemae_2016Q4
|
2.340 s |
0.124 |
|
| 2023-01-24 09:31 |
Python |
file-read
|
lz4, feather, table, fanniemae_2016Q4
|
0.838 s |
-1.393 |
|
| 2023-01-24 09:31 |
Python |
file-read
|
lz4, feather, dataframe, fanniemae_2016Q4
|
4.319 s |
-2.291 |
|
| 2023-01-24 09:31 |
Python |
file-read
|
uncompressed, feather, dataframe, fanniemae_2016Q4
|
5.731 s |
-0.149 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
uncompressed, feather, dataframe, nyctaxi_2010-01
|
1.578 s |
0.281 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
lz4, feather, table, nyctaxi_2010-01
|
0.672 s |
0.259 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
uncompressed, parquet, dataframe, nyctaxi_2010-01
|
0.987 s |
-0.110 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
lz4, feather, dataframe, nyctaxi_2010-01
|
1.319 s |
0.430 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
uncompressed, parquet, table, nyctaxi_2010-01
|
0.992 s |
-0.151 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
snappy, parquet, table, nyctaxi_2010-01
|
0.943 s |
-0.112 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
snappy, parquet, dataframe, nyctaxi_2010-01
|
0.932 s |
0.138 |
|
| 2023-01-24 09:32 |
Python |
file-read
|
uncompressed, feather, table, nyctaxi_2010-01
|
0.937 s |
0.185 |
|
| 2023-01-24 09:33 |
Python |
file-write
|
uncompressed, parquet, table, fanniemae_2016Q4
|
10.551 s |
0.484 |
|
| 2023-01-24 09:34 |
Python |
file-write
|
uncompressed, parquet, dataframe, fanniemae_2016Q4
|
20.096 s |
0.500 |
|
| 2023-01-24 09:39 |
Python |
file-write
|
snappy, parquet, dataframe, nyctaxi_2010-01
|
9.221 s |
0.240 |
|
| 2023-01-24 09:34 |
Python |
file-write
|
snappy, parquet, table, fanniemae_2016Q4
|
10.754 s |
0.603 |
|
| 2023-01-24 09:35 |
Python |
file-write
|
snappy, parquet, dataframe, fanniemae_2016Q4
|
20.235 s |
0.707 |
|
| 2023-01-24 09:36 |
Python |
file-write
|
uncompressed, feather, table, fanniemae_2016Q4
|
6.246 s |
-0.114 |
|
| 2023-01-24 09:37 |
Python |
file-write
|
uncompressed, feather, dataframe, fanniemae_2016Q4
|
15.237 s |
-0.197 |
|
| 2023-01-24 09:37 |
Python |
file-write
|
lz4, feather, table, fanniemae_2016Q4
|
1.842 s |
-0.030 |
|
| 2023-01-24 09:37 |
Python |
file-write
|
lz4, feather, dataframe, fanniemae_2016Q4
|
10.968 s |
-0.744 |
|
| 2023-01-24 09:38 |
Python |
file-write
|
uncompressed, parquet, table, nyctaxi_2010-01
|
5.801 s |
0.528 |
|
| 2023-01-24 09:38 |
Python |
file-write
|
uncompressed, parquet, dataframe, nyctaxi_2010-01
|
7.324 s |
0.272 |
|
| 2023-01-24 09:38 |
Python |
file-write
|
snappy, parquet, table, nyctaxi_2010-01
|
7.705 s |
0.447 |
|
| 2023-01-24 09:39 |
Python |
file-write
|
uncompressed, feather, dataframe, nyctaxi_2010-01
|
4.093 s |
-0.020 |
|
| 2023-01-24 09:39 |
Python |
file-write
|
uncompressed, feather, table, nyctaxi_2010-01
|
2.679 s |
0.058 |
|
| 2023-01-24 09:39 |
Python |
file-write
|
lz4, feather, table, nyctaxi_2010-01
|
1.762 s |
-0.013 |
|
| 2023-01-24 09:40 |
Python |
file-write
|
lz4, feather, dataframe, nyctaxi_2010-01
|
3.180 s |
-0.004 |
|
| 2023-01-24 09:40 |
Python |
wide-dataframe
|
use_legacy_dataset=true
|
0.377 s |
0.149 |
|
| 2023-01-24 09:40 |
Python |
wide-dataframe
|
use_legacy_dataset=false
|
0.512 s |
0.365 |
|
| 2023-01-24 09:50 |
R |
dataframe-to-table
|
chi_traffic_2020_Q1, R
|
4.380 s |
-0.326 |
|
| 2023-01-24 09:51 |
R |
dataframe-to-table
|
type_strings, R
|
0.535 s |
0.046 |
|
| 2023-01-24 09:51 |
R |
dataframe-to-table
|
type_dict, R
|
0.060 s |
-0.853 |
|
| 2023-01-24 09:51 |
R |
dataframe-to-table
|
type_integers, R
|
0.010 s |
-0.143 |
|
| 2023-01-24 09:51 |
R |
dataframe-to-table
|
type_floats, R
|
0.013 s |
-1.136 |
|
| 2023-01-24 09:51 |
R |
dataframe-to-table
|
type_nested, R
|
0.574 s |
0.256 |
|
| 2023-01-24 09:52 |
R |
file-read
|
uncompressed, parquet, table, fanniemae_2016Q4, R
|
1.350 s |
-1.422 |
|
| 2023-01-24 09:52 |
R |
file-read
|
snappy, parquet, table, fanniemae_2016Q4, R
|
1.351 s |
-1.435 |
|
| 2023-01-24 09:52 |
R |
file-read
|
uncompressed, parquet, dataframe, fanniemae_2016Q4, R
|
1.603 s |
-1.243 |
|
| 2023-01-24 09:53 |
R |
file-read
|
uncompressed, feather, dataframe, fanniemae_2016Q4, R
|
0.572 s |
0.120 |
|
| 2023-01-24 09:52 |
R |
file-read
|
snappy, parquet, dataframe, fanniemae_2016Q4, R
|
1.601 s |
-1.136 |
|
| 2023-01-24 09:53 |
R |
file-read
|
uncompressed, feather, table, fanniemae_2016Q4, R
|
0.312 s |
0.219 |
|
| 2023-01-24 09:53 |
R |
file-read
|
lz4, feather, table, fanniemae_2016Q4, R
|
0.594 s |
0.167 |
|
| 2023-01-24 09:53 |
R |
file-read
|
lz4, feather, dataframe, fanniemae_2016Q4, R
|
0.856 s |
0.185 |
|
| 2023-01-24 09:53 |
R |
file-read
|
uncompressed, parquet, table, nyctaxi_2010-01, R
|
0.577 s |
-0.490 |
|
| 2023-01-24 09:53 |
R |
file-read
|
uncompressed, parquet, dataframe, nyctaxi_2010-01, R
|
0.920 s |
-0.211 |
|
| 2023-01-24 09:54 |
R |
file-read
|
snappy, parquet, table, nyctaxi_2010-01, R
|
0.581 s |
-0.625 |
|
| 2023-01-24 09:54 |
R |
file-read
|
snappy, parquet, dataframe, nyctaxi_2010-01, R
|
0.924 s |
-0.563 |
|
| 2023-01-24 09:54 |
R |
file-read
|
uncompressed, feather, table, nyctaxi_2010-01, R
|
0.218 s |
-0.023 |
|
| 2023-01-24 09:54 |
R |
file-read
|
uncompressed, feather, dataframe, nyctaxi_2010-01, R
|
0.811 s |
0.191 |
|
| 2023-01-24 09:54 |
R |
file-read
|
lz4, feather, table, nyctaxi_2010-01, R
|
0.580 s |
0.167 |
|
| 2023-01-24 09:55 |
R |
file-read
|
lz4, feather, dataframe, nyctaxi_2010-01, R
|
0.891 s |
0.259 |
|
| 2023-01-24 09:55 |
R |
file-write
|
uncompressed, parquet, table, fanniemae_2016Q4, R
|
9.716 s |
0.574 |
|
| 2023-01-24 09:57 |
R |
file-write
|
uncompressed, parquet, dataframe, fanniemae_2016Q4, R
|
16.673 s |
0.587 |
|
| 2023-01-24 09:58 |
R |
file-write
|
snappy, parquet, table, fanniemae_2016Q4, R
|
10.142 s |
0.523 |
|
| 2023-01-24 10:00 |
R |
file-write
|
snappy, parquet, dataframe, fanniemae_2016Q4, R
|
17.104 s |
0.714 |
|
| 2023-01-24 10:01 |
R |
file-write
|
uncompressed, feather, table, fanniemae_2016Q4, R
|
2.960 s |
0.224 |
|
| 2023-01-24 10:02 |
R |
file-write
|
uncompressed, feather, dataframe, fanniemae_2016Q4, R
|
8.993 s |
0.892 |
|
| 2023-01-24 10:03 |
R |
file-write
|
lz4, feather, table, fanniemae_2016Q4, R
|
1.493 s |
0.064 |
|
| 2023-01-24 10:04 |
R |
file-write
|
lz4, feather, dataframe, fanniemae_2016Q4, R
|
7.476 s |
-0.032 |
|
| 2023-01-24 10:05 |
R |
file-write
|
uncompressed, parquet, table, nyctaxi_2010-01, R
|
4.929 s |
0.754 |
|
| 2023-01-24 10:06 |
R |
file-write
|
uncompressed, parquet, dataframe, nyctaxi_2010-01, R
|
5.780 s |
0.412 |
|
| 2023-01-24 10:07 |
R |
file-write
|
snappy, parquet, table, nyctaxi_2010-01, R
|
6.660 s |
0.702 |
|
| 2023-01-24 10:09 |
R |
file-write
|
snappy, parquet, dataframe, nyctaxi_2010-01, R
|
7.732 s |
0.463 |
|
| 2023-01-24 10:09 |
R |
file-write
|
uncompressed, feather, table, nyctaxi_2010-01, R
|
1.312 s |
-0.235 |
|
| 2023-01-24 10:10 |
R |
file-write
|
uncompressed, feather, dataframe, nyctaxi_2010-01, R
|
2.194 s |
-0.885 |
|
| 2023-01-24 10:11 |
R |
file-write
|
lz4, feather, table, nyctaxi_2010-01, R
|
1.470 s |
0.579 |
|
| 2023-01-24 10:12 |
R |
file-write
|
lz4, feather, dataframe, nyctaxi_2010-01, R
|
2.088 s |
-0.521 |
|
| 2023-01-24 10:12 |
R |
partitioned-dataset-filter
|
vignette, dataset-taxi-parquet, R
|
0.565 s |
-0.036 |
|
| 2023-01-24 10:12 |
R |
partitioned-dataset-filter
|
payment_type_3, dataset-taxi-parquet, R
|
1.605 s |
-0.527 |
|
| 2023-01-24 10:13 |
R |
partitioned-dataset-filter
|
small_no_files, dataset-taxi-parquet, R
|
0.258 s |
-1.060 |
|
| 2023-01-24 10:13 |
R |
partitioned-dataset-filter
|
dims, dataset-taxi-parquet, R
|
0.590 s |
0.789 |
|
| 2023-01-24 10:23 |
JavaScript |
vectorFromArray
|
booleans
|
0.017 s |
0.509 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
int8Array
|
0.002 s |
0.835 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
uint16Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
Table Direct Count
|
lng, 1,000,000, gt, Float32, 0, tracks
|
0.031 s |
0.658 |
|
| 2023-01-24 10:23 |
JavaScript |
vectorFromArray
|
numbers
|
0.016 s |
0.382 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
numbers
|
0.008 s |
-0.929 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
int32Array
|
0.002 s |
0.533 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
int8Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
numbers
|
0.002 s |
0.383 |
|
| 2023-01-24 10:23 |
JavaScript |
Get values by index
|
lat, 1,000,000, Float32, tracks
|
0.030 s |
-0.531 |
|
| 2023-01-24 10:23 |
JavaScript |
vectorFromArray
|
dictionary
|
0.017 s |
-1.044 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
uint16Array
|
0.002 s |
-0.273 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
numbers
|
0.002 s |
0.884 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
uint32Array
|
0.007 s |
-0.979 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
int8Array
|
0.007 s |
-1.518 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
int16Array
|
0.007 s |
-0.668 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
int64Array
|
0.012 s |
-0.099 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
booleans
|
0.010 s |
1.013 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
string
|
0.143 s |
1.562 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
uint8Array
|
0.002 s |
2.347 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
uint32Array
|
0.002 s |
0.158 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
float32Array
|
0.002 s |
0.110 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
dictionary
|
0.004 s |
0.854 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
uint64Array
|
0.004 s |
0.620 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
int16Array
|
0.002 s |
0.874 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
int64Array
|
0.004 s |
0.056 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
int16Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
Get values by index
|
lng, 1,000,000, Float32, tracks
|
0.030 s |
0.233 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice toArray vectors
|
lng, 1,000,000, Float32, tracks
|
0.000 s |
-0.907 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
float64Array
|
0.002 s |
0.578 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice toArray vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
-0.200 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
0.315 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
booleans
|
0.004 s |
0.496 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate Vector
|
string
|
0.123 s |
1.805 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
uint16Array
|
0.007 s |
-1.063 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
uint64Array
|
0.012 s |
0.068 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
float64Array
|
0.008 s |
-1.334 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
uint64Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
uint8Array
|
0.007 s |
-0.522 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
int32Array
|
0.007 s |
-1.320 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
float32Array
|
0.008 s |
-0.834 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
int8Array
|
0.003 s |
0.777 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
int32Array
|
0.003 s |
0.570 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.000 s |
|
|
| 2023-01-24 10:23 |
JavaScript |
Spread Vector
|
dictionary
|
0.010 s |
-0.255 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
uint8Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
uint32Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
int32Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
numbers
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
Slice vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.000 s |
|
|
| 2023-01-24 10:23 |
JavaScript |
Spread vectors
|
lat, 1,000,000, Float32, tracks
|
0.190 s |
-0.971 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
-0.344 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
int64Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
float64Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
booleans
|
0.010 s |
0.974 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
string
|
0.145 s |
0.510 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
uint16Array
|
0.003 s |
0.572 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
uint64Array
|
0.003 s |
0.996 |
|
| 2023-01-24 10:23 |
JavaScript |
Spread vectors
|
lng, 1,000,000, Float32, tracks
|
0.188 s |
0.063 |
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
float32Array
|
|
|
|
| 2023-01-24 10:23 |
JavaScript |
toArray Vector
|
dictionary
|
0.010 s |
0.747 |
|
| 2023-01-24 10:23 |
JavaScript |
Parse
|
read recordBatches, tracks
|
0.000 s |
-1.718 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
uint8Array
|
0.003 s |
-0.778 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
uint32Array
|
0.003 s |
0.995 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
dictionary
|
0.002 s |
0.987 |
|
| 2023-01-24 10:23 |
JavaScript |
Get values by index
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
0.223 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate vectors
|
lat, 1,000,000, Float32, tracks
|
0.023 s |
0.174 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.040 s |
-0.014 |
|
| 2023-01-24 10:23 |
JavaScript |
Table
|
tracks, 1,000,000
|
0.270 s |
-0.051 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
int16Array
|
0.003 s |
0.839 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
int64Array
|
0.003 s |
0.595 |
|
| 2023-01-24 10:23 |
JavaScript |
Get values by index
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
0.602 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate vectors
|
lng, 1,000,000, Float32, tracks
|
0.023 s |
0.162 |
|
| 2023-01-24 10:23 |
JavaScript |
Iterate vectors
|
destination, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.039 s |
0.216 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice vectors
|
lng, 1,000,000, Float32, tracks
|
0.000 s |
|
|
| 2023-01-24 10:23 |
JavaScript |
Table
|
tracks, 1,000,000
|
0.095 s |
0.110 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
float32Array
|
0.002 s |
-0.866 |
|
| 2023-01-24 10:23 |
JavaScript |
Table Direct Count
|
origin, 1,000,000, eq, Dictionary<Int8, Utf8>, Seattle, tracks
|
0.032 s |
0.355 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
float64Array
|
0.002 s |
0.476 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
booleans
|
0.002 s |
0.407 |
|
| 2023-01-24 10:23 |
JavaScript |
get Vector
|
string
|
0.124 s |
0.568 |
|
| 2023-01-24 10:23 |
JavaScript |
Parse
|
write recordBatches, tracks
|
0.002 s |
-2.799 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice toArray vectors
|
lat, 1,000,000, Float32, tracks
|
0.000 s |
-0.059 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice toArray vectors
|
origin, 1,000,000, Dictionary<Int8, Utf8>, tracks
|
0.108 s |
0.219 |
|
| 2023-01-24 10:23 |
JavaScript |
Slice vectors
|
lat, 1,000,000, Float32, tracks
|
0.000 s |
|
|
| 2023-01-24 10:23 |
JavaScript |
Table
|
tracks, 1,000,000
|
0.050 s |
1.100 |
|
| 2023-01-24 10:23 |
JavaScript |
Table
|
1,000,000, tracks
|
0.260 s |
0.623 |
|
| 2023-01-24 10:23 |
JavaScript |
Table Direct Count
|
lat, 1,000,000, gt, Float32, 0, tracks
|
0.032 s |
0.907 |
|