AWK Tutorial: How often do you generate a Witness Block? 使用AWK来看见证人生成块的速度
How many hours/minutes or blocks are there since last time you generate a block as a witness? Today we are going to find out the answer using the LINUX AWK programming.
First, we know that if you run docker logs [Your Container ID]
you will see lots of log messages, such as:
The ./run.sh logs
prints a tail-ed messages and we can to grep "Generated"
to see the list of blocks:
So the next thing is to get the 8-th column with prints the block number. Using AWK, we know the 8-th column is stored in $8 and we can use the following Linux command to print the number of blocks since last commit and the hours passed (steemit generates a block every 3 seconds);
NR
is the row number in AWK, and substr($8, 2)
removes the hash tag.
{
cur=substr($8,2);
if (NR>1){
print "blocks=",cur-prev," hours=", (cur-prev)*3/3600
}
prev=cur;
}
The complete command is:
docker logs [Replace with your Container ID] | grep "Generated" | awk '{cur=substr($8,2);if (NR>1){print "blocks=",cur-prev," hours=",(cur-prev)*3/3600}prev=cur;}'
Yeah, I am getting faster and faster... Please help me to achieve my aim of producing a block every hour by voting me as a witness. Thanks!
SteemIt Witness Post: Just another Witness
每次见证人出块,媳妇总我说 “又生了”。 每次出块我总会去算一下离上次出块多少时间,这是可以通过当前块数和上次出块数算出来的。
首先,我们可以通过 docker logs [容器 ID]
来显示很多很多的记录:
有一个脚本 ./run.sh logs
是显示最近几条记录 (tail) 我们可以通过管道 grep "Generated"
列出出块时候的记录。
然后我们就可以通过AWK来处理文本了,比如 $8 返回第8列,我们就可以算出每次出块的间隔,然后已知每3秒STEEM产生一个块,这样我们就知道时间了。
NR
表示行号, substr($8, 2)
去掉第8列中的 # 字符,也就是得到块号。
{
cur=substr($8,2);
if (NR>1){
print "blocks=",cur-prev," hours=", (cur-prev)*3/3600
}
prev=cur;
}
完整的命令如下:
docker logs [容器ID] | grep "Generated" | awk '{cur=substr($8,2);if (NR>1){print "blocks=",cur-prev," hours=",(cur-prev)*3/3600}prev=cur;}'
我的目标是一个小时生成一块,请帮助我达成这个目标吧, 投我为见证人,感谢!.
SteemIt 见证人贴: 投行长为见证人,带领CN社区一起脱贫致富!
Being A SteemStem Member
厉害了!这awk用的风骚!
哈哈 骚操作
雖然, 知道見證人是甚麼?
有人以礦工來形容,但我卻未能理解。
不過,投了您票。
想問一問,見證人的排名高低,有甚麼意思?
感谢。
STEEM见证人的主要职责就是打包。
支持您,已投票
感谢!
亲~@cntts为您准备了这篇博文的语音版:
如果您喜欢我的工作,请不吝为我点赞😊
有意思。