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2. 听测辞耻谤

3. 听骋谤补辫丑 with

4. 听笔补肠别谤

6. 听罢飞颈迟迟别谤

9. 聽 person.recent_popular_relevant_conversations!

11. 听1:

12. 听骋谤补辫丑

13. 听贵辞耻苍诲补迟颈辞苍蝉

16. 听罢丑谤辞耻驳丑

17. 听罢丑别

18. 听骋谤补辫丑 Follow an edge pointing out of a vertex out_e.in_v or one pointing in to my vertex in_e.out_v

21. 听蹿辞谤

22. 听鲍苍诲别谤蝉迟补苍诲颈苍驳

24. 听贵耻苍诲补尘别苍迟补濒:

25. 听叠测

26. 听贰诲驳别

27. 聽Label Who I follow out_e(:follow).in_v Who follows me in_e(:follow).out_v follow

29. 聽Property out_e.in_v(name: 'elonmusk') filter(name: 'elonmusk') name: 'elonmusk'

31. 听2:

32. 听叠耻颈濒诲颈苍驳

33. 听惭别补苍颈苍驳

35. 听罢测辫别蝉

36. 听颈苍

37. 听驰辞耻谤

38. 听顿辞尘补颈苍 g.v type: person Pacer just uses Ruby鈥檚 built-in modules as its types module Person def self.lookup { type: person } end end g.v(Person)

40. 听叠补蝉颈肠

41. 听惭辞惫别尘别苍迟蝉

42. 听贵谤辞尘

43. 听补

44. 聽Person module Person::Route def following out_e(:follow).in_v(Person) end def followed_by in_e(:follow).out_v(Person) end end Person follow Person

46. 听贵谤辞尘

47. 听翱苍别

48. 听罢测辫别

49. 听罢辞

50. 聽Another module Person::Route def tweets out_e(:wrote).in_v(Tweet) end end Person Tweet wrote

52. 听鲍蝉颈苍驳

53. 听翱耻谤

54. 听狈别飞

55. 聽Definitions graph = Pacer.neo4j(鈥榩ath/to/graph鈥�) #= PacerGraph graph.v(Person).tweets # V[123] Tweet V[321] Tweet # V[456] Tweet #= Route Index - out(:tweet) It鈥檚 really just that simple.

57. 听顿辞尘补颈苍

58. 聽Filters def female_only filter(gender: 鈥榝emale鈥�) end def recent_only where(鈥榯ime :recent鈥�, recent: hours_ago(2)) end def max_length_only filter do |tweet| tweet[:text].length == 140 end end

61. 听3:

62. 听颁丑补颈苍蝉

63. 听辞蹿

64. 听罢丑辞耻驳丑迟

66. 听惭辞惫别尘别苍迟蝉 def retweeted_by retweets.authors end def current_timeline following.tweets.recent_only end

68. 听笔辞飞别谤蹿耻濒

69. 听贵颈濒迟别谤蝉:

70. 聽Lookaheads Person followed by at least 1000 people def popular_only lookahead(min: 1000) { |person| person.followed_by } end Tweet retweeted at least 100 times def impactful_only lookahead(min: 100) { |tweet| tweet.retweets } end

72. 听贰惫别苍

73. 听叠别迟迟别谤:

74. 听贵颈濒迟别谤别诲

75. 聽Lookaheads Have these people tweeted recently? def active_only lookahead { |person| person.tweets.recent_only } end Reversing a 铿乴ter (lookahead Inception!) def inactive_only neg_lookahead { |person| person.active_only } end

77. 听4:

78. 听颁辞尘辫辞蝉颈迟颈辞苍

80. 听顿别别辫别谤

81. 听惭别补苍颈苍驳 A shy twitterer retweets and stars stuff, follows people but never tweets: def shy_people_only has_retweeted. has_starred. is_following. neg_lookahead(has_tweeted) end

83. 听贵辞濒诲蝉

84. 听叠补肠办

85. 听翱苍

86. 聽Itself We are marking an element and circling back to it def relevant_conversation_tweets as(:me).following.tweets.lookahead do |tweet| tweet.responded_to.authors.followed_by.is(:me) end end This pattern is incredibly powerful!

88. 听贬辞飞

89. 听惭补苍测

90. 听尝颈苍别蝉

91. 听翱蹿

92. 聽Code? How did we build such a sophisticated query out of such simple pieces? def recent_popular_relevant_conversations! recent_only.popular_only.relevant_conversation_tweets end

96. 听5:

97. 听搁别辫别补迟颈苍驳

98. 听笔补迟迟别谤苍蝉

100. 听笔补迟迟别谤苍蝉

101. 听补re

102. 听痴补谤颈补产濒别

103. 聽Length The tweet this responded to, then the tweet that it responded to, etc, etc... def conversations all { |tweet| tweet.responded_to } end Any pattern can be repeated, no matter how complex def popular_conversations all { |tweet| tweet.responded_to.popular_only } end

105. 听滨苍迟别谤尘别诲颈补迟别

106. 聽Vertices The tweet that started it all def conversation_starters deepest { |tweet| tweet.responded_to } end

108. 听颁辞尘产颈苍补迟颈辞苍

109. 听颁辞尘产颈苍补迟颈辞苍s A lookahead with a loop with a lookahead, emerging with a loop. def conversations_with_a_recent_popular_exchange lookahead do |tweet| tweet.popular_conversations.recent_only end.conversations end

111. 听尝辞辞辫

112. 聽Logic Make common operations simple, uncommon operations possible... def rapid_conversations loop do |tweet| tweet.responded_to end.while do |tweet, depth, path| if depth = 1 prev_tweet = path[-2] minutes = tweet.minutes_after(prev_tweet) if minutes 2 :loop_and_emit if minutes 5 :loop end else :loop end end end

115. 听补nd

116. 聽Merging You鈥檝e got the power to encode alternate routes def good_tweets branch do |person| person.starred_tweets end.branch do |person| person.tweets.retweeted end end That鈥檚 often all it takes to handle messy data from multiple sources.

118. 听贰濒蝉别?

120. 聽else? 鈥� Transactional CRUD is easy 鈥� Indices are automatic 鈥� Summarization tools 鈥� Data export (for visualization, etc) 鈥� Process more than just graphs

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