Index

A

Ant

downloading, 228

installing on a Mac, 229

Ant plug-in, 225–229

assumptions before beginning, 225

benefits of, 225

notes on the recipe for, 228

recipe—code for, 225–227

testing the recipe for, 227–228

Aspect Orientation, in Object-Oriented languages, 76–77

B

Big data, 139

Blocking code, macro converting to non-blocking code, 79–85

Bolts, in Storm

creating, 190–192

description of, 191, 192–193, 194–195

integrating Storm and JMS using, 204, 205, 206, 208–209, 213–214, 215

Bootstrap, 56, 59, 62

C

Cascading library in Hadoop

introduction of, 141

Java class dependency relationships with, 177

preformatted data needed for, 160–161

reading files in, 174–175, 177

Cascalog, introduction to, xvii, 135–141

background concepts for, 140–141

benefits of Cascalog, 135

notes on the recipe for running basic queries in, 137–141

recipe—code for running basic queries in, 135–137

testing the solution in, 137–139

Cascalog, compiling to a jar file and running, 143–148

assumptions before beginning, 143

benefits of, 143

recipe—code for, 143–145

testing the solution in, 145–146

Cascalog, loading custom data formats into, 163–177

assumptions before beginning, 163

benefits of, 163

notes on the solution for, 176–177

recipe—code for, 163–176

testing the recipe for, 175–176

Cascalog, loading data file into, 149–151

assumptions before beginning, 149

benefits of, 149

recipe—code for, 149–150

testing the solution in, 150–151

Cascalog, loading structured data into, 157–161

assumptions before beginning, 157

benefits of, 157

notes on solution for, 160–161

preformatting data for, 160–161

recipe—code for, 157–159

testing the recipe for, 159–160

Cascalog, structuring a file to load into, 149–151

assumptions before beginning, 149

benefits of, 149

recipe—code for, 149–150

testing the solution in, 150–151

Cascalog, writing out a data file with, 153–155

assumptions before beginning, 153

benefits of, 153

notes on the recipe for, 155

recipe—code for, 153–154

testing the solution in, 154–155

Clojure, reasons for using, xv–xvii

clojure.csv library, 219

clojure.data.json library, in Compojure, 30

ClojureScript, xvii

compiled to JavaScript, 35, 39–40

JSON server built in, 41–46

Pedestal server instead of, 50

ClojureScript REST client, 35–40

assumptions before beginning, 35

benefits of, 35

notes on the recipe for, 39–40

recipe—code for, 36–38

testing the solution in, 38–39

ClojureWerkz money library, 70, 74

Coding conventions in text, xviii

Comma-separated value (CSV) files. See CSV reader

Compiler extension using macros, 79–85

assumptions before beginning, 79

benefits of, 79

notes on the recipe for, 82–85

recipe—code for, 79–81

testing the solution in, 81–82

Conventions in text, xviii

core.async library, 85

CSS in Clojure, 107–133

mapping of SASS constants into CSS data structure using, 129–133

process of going from SASS to CSS in, 108–109

SASS for reuse and manageability of, 107–108

transformation of tree representation of, 126–128

CSV reader, 217–220

assumptions before beginning, 217

benefits of, 217

notes on the recipe for, 219–220

recipe—code for, 217–218

testing the solution for, 219

curl, and REST servers, 20–21, 23, 25, 29, 179, 187

D

data.csv library, 219

data.json library, 29, 30

Datalog, 138, 141

Datomic, xvii

downloading, 180

setting up, 179–180

Datomic connections, 179–188

assumptions before beginning, 179

benefits of, 179

from Clojure, 181–182

getting set up for, 179–180

from Java, 182–185

loading schema and data in, 181

recipe—code for, 179–180

from REST client, 185–188

in the shell, 180–181

Datomic syntax, and DSL, 87–106

assumptions before beginning, 87

benefits of, 87–88

notes on the recipe for, 103–106

recipe—code for, 88–97

relational database mindset applied to, 88

testing add datom in, 98–100

testing add nested datom in, 101–104

testing create nested schema in, 100–101

testing create schema in, 97–98

Debugging macros, 251–259

assumptions before beginning, 251

benefits of, 251

helper functions and, 253–254

logging application with, 71–72, 73, 74–75

read and evaluate approach for, 254–259

simple approach for, 252–253

Dijkstra, Edsger, xvi

DSL (domain-specific language)

Clojure with, xvi

Datomic syntax and, 87–106

SASS and, 107–133

E

EDN, 47

Error log monitoring application, 221–224

assumptions before beginning, 221

benefits of, 221

notes on the recipe for, 223–224

recipe—code for, 221–223

testing the solution for, 223

EventSource, 55, 60–61, 63, 65–66

Excel, and CSV files, 217, 219, 220

F

Fielding, Roy, 33

Firefox, 241, 243

future, with compiler extension macro, 81, 82, 83–84

G

Google Closure libraries, 35, 39

Google MapReduce, 139

H

Hadoop

as a batch processing system, 149

Cascading library in, 141

downloading, 146, 147

MapReduce concept and, 140

Pig analysis tool with, 140

setting up on a Mac, 146–147

setting up on Windows, 147–148

handle-http function, 22–23

Haskell language, xvi

Hickey, Rich, 26, 50

Homoiconic language, xvii, 69

Hornet libraries, with JMS, 197, 198, 200, 213, 214–215

HTML5, and EventSource, 55, 60–61, 63, 65–66

http requests

JSON server and, 41–47

Pedestal stock ticker application using, 55–67

REST server and, 22–23

http specification, and REST, 32–33

I

Interceptors, 51, 54

J

Java

checking for on a Mac, 3

checking for on Windows, 2

Clojure macro use and, 76–77

Datomic connection from, 182–185

Swing library in, 240

Java Development Kit. See JDK

Java EE (Java Platform, Enterprise Edition), 11–18

assumptions before beginning, 11

benefits of, 11

packaging Clojure to work in a Java EE environment and, 11–12

recipe (common part) for, 11–14

setting up Tomcat on a Mac and, 14–15

setting up Tomcat on Windows and, 16–18

Java Platform, Enterprise Edition. See Java EE

javac, checking for, on a Mac, 4

JavaScript, xv, 35, 39–40

JDK (Java Development Kit), xvi

downloading, 2, 3

setting up Hadoop on a Windows machine and, 148

setting up on a Mac, 4–5

setting up on Windows, 5–8

JMS feeds, and Storm, 203–214

assumptions before beginning, 203

benefits of, 203

notes on the recipe for, 213–215

recipe—code for, 203–213

testing the recipe for, 213

JMS server, setting up and messaging, 197–201

assumptions before beginning, 197

benefits of, 197

notes on the recipe for, 200–201

recipe—code for, 197–200

testing the recipe for, 200

JQuery, 41, 46, 55, 62

JRE (Java Runtime Environment), checking for and adding, on a Mac, 4–5

JSON server, 41–46

assumptions before beginning, 41

benefits of, 41

notes on the recipe for, 45–46

recipe—code for, 41–44

testing the solution in, 44–45

Transit used with, 47

JVM, xv

K

Kay, Alan, 69

L

Lean Software Development, xvi

lein-ring library, 45

Leiningen

assumptions before beginning, 1

benefits of, 1

creating new project in projects directory (Mac) with, 2–3

creating new project in projects directory (Windows) with, 4

description of, 1

new project directory in, 11

Pedestal stock ticker application using, 55, 56, 60

Pedestal web server using, 50, 52

recipe (Mac) for, 3–4

recipe (Windows) for, 1–3

starting a project with, 1–9

Liberator REST server, 25–33

assumptions before beginning, 25

benefits of, 25

context of http specification for, 32–33

notes on the recipe for, 29–32

recipe—code for, 25–27

testing the solution in, 28–29

Liberator library, in Compojure, 29, 30–31, 32

Lisp, xv

Log monitoring application, 221–224

assumptions before beginning, 221

benefits of, 221

notes on the recipe for, 223–224

recipe—code for, 221–224

testing the solution for, 223

Logging application macro, 69–77

assumptions before beginning, 69

benefits of, 69

debug macros in, 71–72, 73, 74–75

notes on the recipe for, 74–77

recipe—code for, 70–72

testing the solution in, 72–73

M

Macro compiler extension, 79–85

assumptions before beginning, 79

benefits of, 79

notes on the recipe for, 82–85

recipe—code for, 79–81

testing the solution in, 81–82

Macro debugging, 251–259

assumptions before beginning, 251

benefits of, 251

helper functions and, 253–254

logging application with, 71–72, 73, 74–75

read and evaluate approach for, 254–259

simple approach for, 252–253

Macro logging application, 69–77

assumptions before beginning, 69

benefits of, 69

debug macros in, 71–72, 73, 74–75

notes on the recipe for, 74–77

recipe—code for, 70–72

testing the solution in, 72–73

Macros

trace¹, 77

uses of, in Clojure, 76–77

MapReduce

Google introduction of, 139

Yahoo’s MapReduce and, 140

Marz, Nathan, 141, 192

Maven, 182–183

debugging a Leiningen project as, 164

Datomic connection from Java and, 182–185

Leiningen setup and, 1, 4

Maven plug-in, 231–240

assumptions before beginning, 231

benefits of, 231

notes on the recipe for, 240

recipe—code for, 231–239

testing the recipe for, 239

Middleware

in Ring, 54

using interceptors instead of, 54

wrap-default function for, 23, 39

Monads, xvii

money library, ClojureWerkz, 70, 74

Monitoring applications

log monitoring application, 221–224

website status checker, 245–249

Multiversion Concurrency Control (MVCC), xv

N

.NET CLR, xv

O

Object-Oriented languages, and Aspect Orientation, 76–77

Okasaki, Chris, xv

P

Pedestal simple server, 49–54

assumptions before beginning, 49

benefits of, 49

context for, 49–50

notes on the recipe for, 53–54

reasons for using instead of Compojure, 50

recipe—code for, 50–52

testing the solution in, 52–53

Pedestal stock ticker application, 55–67

assumptions before beginning, 55

benefits of, 55

notes on the recipe for, 62–67

recipe—code for, 55–60

testing the solution in, 60–62

Pig analysis tool, with Hadoop, 140

Production applications

Clojure as Ant plug-in in, 225–229

log monitoring with, 221–224

WebDriver tests with, 241–243

website status checker with, 245–249

R

Reducers, 139–140

Regex, 223–224

REPL (Read Eval Print Loop), xvi, 4, 137

REST (Representational State Transfer)

http specification and, 32–33

origins of, 33

Richardson Maturity Model for, 33

REST clients

connecting to Datomic from, 185–188

documentation for, 185

REST server in Compojure, 19–23

assumptions before beginning, 19

benefits of, 19

http requests with, 22–23

notes on the recipe for, 22–23

recipe—code for, 19–20

testing the solution in, 20–21

REST server in Liberator, 25–33

assumptions before beginning, 25

benefits of, 25

http specification and, 32–33

notes on the recipe for, 29–32

recipe—code for, 25–27

testing the solution in, 28–29

RESTful HTTP requests, 22–23

Richardson Maturity Model for REST, 33

ring.json library, 45

Ruby, 107, 133

S

S-expressions, xvi–xvii

SASS

constants in, 108

features of, 107–108

larger process of going from SASS to CSS in, 108–109

mapping of constants into data structure using, 129–133

nesting in, 108, 125–126

reuse and manageability of CSS using, 107–108

transformation of tree representation in, 126–128

SASS DSL with Clojure zippers, 107–133

assumptions before beginning, 107

benefits of, 107

features of SASS and, 107–108

mapping of constants into data structure using, 129–133

notes on the recipe for, 122–133

recipe—code for, 109–121

tasks accomplished in, 109

testing the solution in, 121–122

transformation of tree representation in, 126–128

Selenium WebDriver tests, 241–243

assumptions before beginning, 241

benefits of, 241

notes on the recipe for, 243

recipe—code for, 241–242

testing the recipe for, 242–243

Servers. See JMS server; JSON server; Pedestal simple server; REST server in Compojure; REST server in Liberator

Software Transactional Memory (STM), xv

Spouts, in Storm

creating, 190–192

description of, 192–193, 195

integrating Storm and JMS using, 203, 208–209, 214, 215

Stock ticker application, Pedestal, 55–67

assumptions before beginning, 55

benefits of, 55

notes on the recipe for, 62–67

recipe—code for, 55–60

testing the solution in, 60–62

Storm, and JMS feeds, 203–214

assumptions before beginning, 203

benefits of, 203

notes on the recipe for, 213–215

recipe—code for, 203–213

testing the recipe for, 213

Storm apps, xvii

components of, 192–193

getting started with, 189–190

assumptions before beginning, 189

benefits of, 189

notes on the recipe for, 192–195

recipe—code for, 190–192

testing the recipe in, 192

Swing

with Ant, 226, 228

with Maven, 232, 240

T

Test suites, 241–243

Tomcat on a Mac

assumptions before setting up, 14

downloading, 14

notes on installing, 14

packaging Clojure to work in a Java EE environment and, 11–12

setting up, 14–15

Tomcat on Windows

assumptions before setting up, 16

downloading, 16

packaging Clojure to work in a Java EE environment and, 11–12

setting up, 16–18

tools.trace library, 77

Topologies, in Storm

description of, 192, 193, 195

integrating Storm and JMS using, 203, 204–205, 206, 208–209, 214, 215

trace¹ macro, 77

Transit, 47

Tuples, in Storm

description of, 192, 193, 194–195

integrating Storm and JMS using, 205–206, 214

Twitter

Backtype, 141n, 192

Bootstrap and, 56, 59, 62

Types, xvii

W

Wadler, Philip, xvi

WebDriver tests, 241–243

assumptions before beginning, 241

benefits of, 241

notes on the recipe for, 243

recipe–code for, 241–242

testing the recipe for, 242–243

Website status checker, 245–249

assumptions before beginning, 245

benefits of, 245

notes on the recipe for, 249

recipe—code for, 246–247

testing the recipe for, 247–249

WebSockets, 55

wget.exe, 2

wrap-default function, 23

Y

Yahoo, 140

Z

Zippers

custom zipper for maps in Datomic syntax, 91–94, 104

notes on the recipe for SASS DSL on using, 122–133

parsing a DSL using, 107

recipe—code for generating CSS with, 109–121

traverse idiom for, 123, 126