| // 1. 打开 Arc 浏览器访问 Twitter 网站； | |
| // 2. 左侧面板右下角点击 New Boost - Inject - A specific website（确认应用范围是 twitter.com） | |
| // 3. 请空默认代码，粘贴本页面代码即可。 | |
| // 效果测试地址： https://twitter.com/ciguleva/status/1637233764656107520?s=20 | |
| const tweetSelector = 'article[data-testid="tweet"]'; | |
| const tweetTextSelector = 'div[data-testid="tweetText"]'; | |
| const tweetPhotoSelector = 'div[data-testid^="tweetPhoto"]'; | |
| const appendAltText = (tweet, altText) => { |
| #!/usr/bin/awk -f | |
| # This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff | |
| # My copy here is written in awk instead of C, has no compelling benefit. | |
| # Public domain. @thingskatedid | |
| # Run as awk -v x=xyz ... or env variables for stuff? | |
| # Assumptions: the data is evenly spaced along the x-axis | |
| # TODO: moving average |
I'm writing this gist for my own records but it might help someone else too.
Support for Catalina has improved a lot since the update was first rolled out.
Note: See the NixOS manual for discussion of the --darwin-use-unencrypted-nix-store-volume option.
| Producer | |
| Setup | |
| bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1 | |
| bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3 | |
| Single thread, no replication | |
| bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196 |
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
| package example | |
| import java.util.concurrent.ConcurrentHashMap | |
| import java.util.concurrent.ConcurrentLinkedQueue | |
| import com.typesafe.config.Config | |
| import com.typesafe.config.ConfigFactory | |
| import akka.actor.Actor | |
| import akka.actor.ActorContext | |
| import akka.actor.ActorRef | |
| import akka.actor.ActorSystem |
