Hardware used for measuring the performance:
- 2.9 GHz Intel Core i5
- 16 GB 2133 MHz LPDDR3
- Java 7
These are the high-level transformations being performed on the data:
- Parsing of CSV
- Drop columns
- Setting defaults on column
- Changing case
- Masking data
- Filtering rows based on an expression
parse-as-csv demo , true
drop demo
drop demo_12
fill-null-or-empty demo_11 N/A
uppercase demo_17
mask-number demo_18 xxx###
drop demo_6
drop demo_7
fill-null-or-empty demo_5 N/A
uppercase demo_3
filter-row-if-true demo_9 =~ "CA"
mask-number demo_10 xxx##
mask-shuffle demo_4
These two experiments were run: the first with 13M records, and the second with 80M records.
- Number of records: 13,499,973
- Number of bytes: 4,499,534,313 (~ 4GB)
- Number of columns: 18
count = 13,376,053
mean rate = 64998.50 records/second
1-minute rate = 64921.29 records/second
5-minute rate = 46866.70 records/second
15-minute rate = 36149.86 records/second
- Number of records: 80,999,838 (80M)
- Number of bytes: 26,997,205,878 (~ 26GB)
- Number of columns: 18
- Total time: 1294 seconds (21.5 minutes)
count = 80,944,061
mean rate = 62465.93 records/second
1-minute rate = 62706.39 records/second
5-minute rate = 60755.41 records/second
15-minute rate = 56673.32 records/second