antirez

Redis 4.2 roadmap

1. Redis Cluster

• Speed up key -> hashslot association. Now makes RBB loading 4x slower when there are many small keys.
• Better multi data center story
• redis-trib C coded and moved into redis-cli
• Backup / Restore of Cluster
• Non blocking MIGRATE (also consider not using 2X memory)
• Faster resharding
• Bug fixing and stress testing to bring it to next level of maturity

Avaq

const I  = x => x
const K  = x => y => x
const A  = f => x => f (x)
const T  = x => f => f (x)
const W  = f => x => f (x) (x)
const C  = f => y => x => f (x) (y)
const B  = f => g => x => f (g (x))
const S  = f => g => x => f (x) (g (x))
const S_ = f => g => x => f (g (x)) (x)
const S2 = f => g => h => x => f (g (x)) (h (x))

nicolasembleton

#!/bin/bash

sudo kextunload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport
sudo kextload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport

comerford

// kills long running ops in MongoDB (taking seconds as an arg to define "long")
// attempts to be a bit safer than killing all by excluding replication related operations
// and only targeting queries as opposed to commands etc.
 
killLongRunningOps = function(maxSecsRunning) {
    currOp = db.currentOp();
    for (oper in currOp.inprog) {
        op = currOp.inprog[oper-0];
        if (op.secs_running > maxSecsRunning && op.op == "query" && !op.ns.startsWith("local")) {
            print("Killing opId: " + op.opid

caniszczyk

curl -s https://api.github.com/orgs/twitter/repos?per_page=200 | ruby -rubygems -e 'require "json"; JSON.load(STDIN.read).each { |repo| %x[git clone #{repo["ssh_url"]} ]}'

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