ankurcha

package com.mallo64.dataflow

import com.google.api.client.json.GenericJson;
import com.google.api.services.bigquery.model.TableCell;
import com.google.api.services.bigquery.model.TableFieldSchema;
import com.google.api.services.bigquery.model.TableRow;
import com.google.api.services.bigquery.model.TableSchema;
import com.google.cloud.dataflow.sdk.transforms.DoFn;
import org.apache.avro.Schema;
import org.apache.avro.specific.SpecificRecord;

terrancesnyder

Sankey Barchart

Info

Provides a visualization similar to google analytics shopper behavior analytics.

Requires

• d3js
• underscorejs

alediaferia

/*
Copyright (c) 2015-2020 Alessandro Diaferia

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

glebcha

'use strict';

/*
Instructions:

1 - Should execute 'npm run prepare' 
	before the very first run, it will install and symlink all dependencies.

2 - Choose between production 'npm start' and development 'npm run start-dev' modes 
	(watcher will run immediately after initial run).

maxsap

import java.util.ArrayList;
import java.util.Collection;
import java.util.List;

import org.apache.commons.lang3.SerializationUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.security.jwt.JwtHelper;
import org.springframework.security.oauth2.common.OAuth2AccessToken;
import org.springframework.security.oauth2.common.OAuth2RefreshToken;
import org.springframework.security.oauth2.common.exceptions.InvalidTokenException;

glamp

# http://cran.r-project.org/web/packages/markovchain/vignettes/an_introduction_to_markovchain_package.pdf

library(markovchain)
initialState <- c(0,1,0)
weatherStates <- c("sunny", "cloudy", "rain")
byRow <- TRUE
trans.probs <- matrix(data=c(0.7, 0.2, 0.1,
                        0.3, 0.4, 0.3,
                        0.2, 0.45, 0.35), byrow=TRUE, nrow=3,
                      dimnames = list(weatherStates, weatherStates))

miketheman

Adding 2 nodes to an existing 3-node ZooKeeper ensemble without losing the Quorum

Since many deployments may start out with 3 nodes and so little is known about how to grow a cluster from 3 memebrs to 5 members without losing the existing Quorum, here is an example of how this might be achieved.

In this example, all 5 nodes will be running on the same Vagrant host for the purpose of illustration, running on distinct configurations (ports and data directories) without the actual load of clients.

YMMV. Caveat usufructuarius.

Step 1: Have a healthy 3-node ensemble

cykl

package bench;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;

import org.openjdk.jmh.annotations.BenchmarkType;
import org.openjdk.jmh.annotations.GenerateMicroBenchmark;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.State;

SimonHoenscheid

Puppet with Jenkins

Setup Jenkins

With Puppet:

puppet module install rtyler-jenkins

puppet apply -v -e "include jenkins"

abramsm

 for (int p = 10; p < 18; p++)
        {
            HyperLogLogPlus hyperLogLogPlus = new HyperLogLogPlus(p, 25);
            int count = 4200000;
            for (int i = 0; i < count; i++)
            {
                hyperLogLogPlus.offer("i" + i);
            }
            long estimate = hyperLogLogPlus.cardinality();
            double se = count * (1.04 / Math.sqrt(Math.pow(2, p)));