tools to inject json-encoded logs and produce reports
- create tgz from logs after a simulation run
tgz files should have a folder
simTest/fnode00<variouslogs>.txt
#snippet from test_set2.sh in FD-798 branch of factomd
function stashlogs() {
tar -czf $1.tgz simTest/*.txt
}
GIVEN_NODES=LF MAX_BLOCKS=40 BATCHES=10 ENTRIES=1000 DELAY_BLOCKS=1 DROP_RATE=100 ./test.sh
stashlogs test_LF_d100
- copy to a subolder like so
v5.1.0/
├── dataload.py
├── laptop
│ ├── extract.sh
│ ├── test_LLLLLF_d100.tgz
│ ├── test_LLLLLLLLF_d100.tgz
│ └── test_LLLLLLLLFF_d100.tgz
└── load.sh
- Extract some log files using
extract.sh
v5.1.0/
├── dataload.py
├── laptop
│ ├── extract.sh
│ ├── test_LLLLLF_d100.tgz
│ ├── test_LLLLLFF_d100
│ │ ├── FNode0_missing_messages.txt
│ │ └── FNode0_simTest.txt
│ ├── test_LLLLLLLLF_d100.tgz
│ ├── test_LLLLLLLLFF_d100
│ │ ├── FNode0_missing_messages.txt
│ │ └── FNode0_simTest.txt
│ └── test_LLLLLLLLFF_d100.tgz
└── load.sh
- load them into the db using
./v5.1.0/load.sh
or./rebuild.sh
to to run all
review log labels in db:
load=# select * from log_runs;
id | label | ts
----+------------------------+----------------------------
1 | v5_test_LLLLLLLFF_d100 | 2019-01-31 17:07:33.116239
2 | v5_test_LLLLLLLF_d100 | 2019-01-31 17:08:19.244705
3 | v6_test_LLLLLLLFF_d100 | 2019-01-31 17:09:05.469478
4 | v6_test_LLLLLLLF_d100 | 2019-01-31 17:09:52.358996
(4 rows)
^ this allows you to use WHERE run=X
when comparing log data between runs