jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

kellyrob99

import org.apache.maven.shared.dependency.analyzer.ClassAnalyzer
import org.apache.maven.shared.dependency.analyzer.DefaultClassAnalyzer
import org.apache.maven.shared.dependency.analyzer.DependencyAnalyzer
import org.apache.maven.shared.dependency.analyzer.ProjectDependencyAnalysis
import org.apache.maven.shared.dependency.analyzer.asm.ASMDependencyAnalyzer
import org.gradle.api.Project
import org.gradle.api.artifacts.ConfigurationContainer
import org.gradle.api.artifacts.ResolvedArtifact
import org.gradle.api.artifacts.ResolvedDependency

mlehman

/* Example using MultipleOutputs to write a Spark RDD to multiples files.
   Based on saveAsNewAPIHadoopFile implemented in org.apache.spark.rdd.PairRDDFunctions, org.apache.hadoop.mapreduce.SparkHadoopMapReduceUtil.

  val values = sc.parallelize(List(
    ("fruit/items", "apple"),
    ("vegetable/items", "broccoli"),
    ("fruit/items", "pear"),
    ("fruit/items", "peach"),
    ("vegetable/items", "celery"),
    ("vegetable/items", "spinach")

silasdavis

/**
* This file contains the core idea of wrapping an underlying OutputFormat with an OutputFormat
* with an augmented key that writes to partitions using MultipleOutputs (or something similar)
*/

package model.hadoop

import model.hadoop.HadoopIO.MultipleOutputer
import model.hadoop.HadoopIO.MultipleOutputer._
import org.apache.hadoop.io.{DataInputBuffer, NullWritable}

zmwangx

https://developer.microsoft.com/en-us/microsoft-edge/tools/vms/

tzachz

// Inspired by https://gist.github.com/abesto/cdcdd38263eacf1cbb51
// Task creates a .dot file with all inter-module dependencies
// Supports any depth of nested modules

task moduleDependencyReport {
    doLast {
        def file = new File("project-dependencies.dot")
        file.delete()
        file << "digraph {\n"
        file << "splines=ortho\n"

gboudreau

Generating Authy passwords on other authenticators

---

*update: TBC, but this new might affect how easy it is to use this technique past August 2024: Authy is shutting down its desktop app | The 2FA app Authy will only be available on Android and iOS starting in August

---

This gist, based in part on a gist by Brian Hartvigsen, allows you to export from Authy your TOTP tokens you have stored there.
Those can be "standard" 6-digits / 30 secs tokens, or Authy's own version, the 7-digits / 10 secs tokens.