anuragkapur

// Declaring a method that takes block parameters
+ (void)doWeHavePublishPermissionsForUserWithSuccessBlock:(void (^)(BOOL))successBlock
                                          andFailureBlock:(void (^)(NSError *))failureBlock;
                                          
// Same as previous, but using a typdef for the block type for improved readability
typedef void (^ SuccessBlock)(BOOL);
typedef void (^ FailureBlock)(NSError *);

+ (void)doWeHavePublishPermissionsForUserWithSuccessBlock:(SuccessBlock)successBlock
                                          andFailureBlock:(FailureBlock)failureBlock;

anuragkapur

source /Users/anuragkapur/tech-stuff/ak-skynet-env/scripts/git-completion.bash

anuragkapur

<build>
   <plugins>
       <plugin>
           <groupId>com.heroku.sdk</groupId>
           <artifactId>heroku-maven-plugin</artifactId>
           <configuration>
               <appName>${APP_NAME}-${REGION}-${ENV}</appName>
           </configuration>
       </plugin>
       …

anuragkapur

<filters>
   <filter>env-config/${ENV}.properties</filter>
</filters>
<resources>
   <resource>
       <directory>src/main/resources</directory>
       <filtering>true</filtering>
       <includes>
           <include>**/*.yml</include>
       </includes>

anuragkapur

if ( request from US ) {

	route to US origin (-H Host:myapp-us.herokuapp.com)
	if (response.status == 5xx)
		route to EU origin

} else if ( request !from US ) {

	route to EU origin (-H Host:myapp-eu.herokuapp.com)
	if (response.status == 5xx)

anuragkapur

#AWS CLI Cheatsheet

Describe all instances

aws ec2 describe-instances

Describe instance by tag and value

aws ec2 describe-instances --filter "Name=tag:Name,Values=oxclo06"

Describe instances and query the output to get InstanceId

aws ec2 describe-instances --filter "Name=tag:Name,Values=oxclo06" --query "Reservations[*].Instances[0].InstanceId"

anuragkapur

Hadoop CLI Cheatsheet

List the entire HDFS

$ hadoop fs -ls -R /

List a dir

$ hadoop fs -ls /user/oxclo/output

Cat a file in the file system

$ hadoop fs -cat /user/oxclo/wind/SF37.csv

anuragkapur

Wind data and crime correlation

Part A

$ bin/pyspark --packages com.databricks:spark-csv_2.11:1.2.0

# load data from csv into a data frame
>>> df1 = sqlContext.read.format('com.databricks.spark.csv').options(header='true',inferschema='true').load('/home/oxclo/datafiles/wind2014/*.csv')

anuragkapur

import sys
import json
from datetime import datetime
from dateutil.parser import parse
import paho.mqtt.client as mqtt

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.mqtt import MQTTUtils

anuragkapur

// Java 8
SendFaxOptions sendFaxOptions = new SendFaxOptions();
sendFaxOptions.setReplyAddress(Optional.of("reply@example.com"));

InterFAXClient interFAXClient = new InterFAXJerseyClient();
APIResponse apiResponse = interFAXClient.sendFax(
                                        faxNumber,
                                        "https://rest.interfax.net/outbound/documents/90bd5477d5944c6d884c610171b75258",
                                        Optional.of(sendFaxOptions));