Creating Custom Instruments
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- Shannon Bruce
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1 Session #WWDC18 Creating Custom Instruments Instruments Chad Woolf, Performance Tools Engineer Kacper Harasim, Performance Tools Engineer 2018 Apple Inc. All rights reserved. Redistribution or public display not permitted without written permission from Apple.
2 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
3 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
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10 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
11 In the Beginning...
12 In the Beginning... Analysis Analysis Analysis Analysis Analysis Recording Recording Analysis Recording Recording Analysis Recording Recording Recording
13 In the Beginning... UI UI UI UI UI UI UI Storage Storage Storage Storage Storage Storage Storage Analysis Analysis Analysis Analysis Analysis Recording Recording Analysis Recording Recording Analysis Recording Recording Recording
14 Today
15 Today Standard UI
16 Today Standard UI Analysis Core
17
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23 Instruments
24 Instruments
25 Instruments
26 Instruments
27 Graphs
28 Graphs
29 Graphs
30 Graphs Analysis Core
31 Detail Views
32 Detail Views
33 Detail Views
34 Detail Views
35 Detail Views
36 Detail Views
37 Detail Views Analysis Core
38 Analysis Core time-profile time-profile os-signpost syscall tick
39 Tables
40 Tables Schema column-1 column-2 Columns Types schema
41 Tables Schema column-1 column-2 Columns Types Attributes Key/value Content schema {attribute=value, }
42 Tick Schema *from the Instrument Inspector's "Schemas" tab
43 Tick Schema *from the Instrument Inspector's "Schemas" tab
44 Tick Schema *from the Instrument Inspector's "Schemas" tab
45 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
46 Tick Instrument
47 Demo Getting started with custom instruments Kacper Harasim, Performance Tools Engineer
48 Tick Instrument
49 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
50 Graph Lanes
51 Plot
52 Automatic Treatment
53 Automatic Treatment
54 Plot Template
55 Histogram
56 Details
57 Details
58 Details List
59 Details List Aggregation
60 Aggregation
61 Aggregation Columns are functions
62 Aggregation Columns are functions sum
63 Aggregation Columns are functions sum average
64 Aggregation Columns are functions sum average count
65 Aggregation Columns are functions sum average count More...
66 Aggregation Columns are functions sum average count More... Hierarchy
67 Details List Aggregation
68 Details List Aggregation Call Tree
69 Details List Aggregation Call Tree Narrative
70 Details List Aggregation Call Tree Narrative Time Slice
71 Analysis Core time-profile time-profile os-signpost syscall tick
72 Step 1: Reduce os-signpost time-profile time-profile tick syscall os-log time-profile tick syscall
73 Step 2: Search data-stream Store
74 Step 2: Search MODELER Store
75 Step 2: Search A MODELER C B
76 Step 3: Optimize
77 Binding Solution
78 Binding Solution Trace-wide
79 Binding Solution Trace-wide Minimizes recording impact
80 Schemas
81 Schemas 100+ schemas already
82 Schemas 100+ schemas already Contained in packages
83 Schemas 100+ schemas already Contained in packages Link build setting
84 Schemas 100+ schemas already Contained in packages Link build setting Building blocks
85 Modelers
86 Modelers <modeler>
87 Modelers <modeler> <point-schema>
88 Modelers <modeler> <point-schema> <interval-schema>
89 Modelers <modeler> <point-schema> <interval-schema> Required inputs
90 Modelers <modeler> <point-schema> <interval-schema> Required inputs Expert systems
91 Modelers <modeler> <point-schema> <interval-schema> Required inputs Expert systems CLIPS
92 Modelers <modeler> <point-schema> <interval-schema> Required inputs Expert systems CLIPS Advanced
93 However...
94 Automatic Modelers
95 Automatic Modelers <os-signpost-interval-schema>
96 Automatic Modelers <os-signpost-interval-schema> Defines a schema
97 Automatic Modelers <os-signpost-interval-schema> Defines a schema Generates a modeler
98 Automatic Modelers <os-signpost-interval-schema> Defines a schema Generates a modeler Capture metadata
99 Automatic Modelers <os-signpost-interval-schema> Defines a schema Generates a modeler Capture metadata Expressions
100 os_signpost(.begin, log: parsinglog, name: "Parsing", "Parsing started SIZE:%ld", data.count) // Decode the JSON we just downloaded let result = try jsondecoder.decode(trail.self, from: data) os_signpost(.end, log: parsinglog, name: "Parsing", "Parsing finished")
101 os_signpost(.begin, log: parsinglog, name: "Parsing", "Parsing started SIZE:%ld", data.count) // Decode the JSON we just downloaded let result = try jsondecoder.decode(trail.self, from: data) os_signpost(.end, log: parsinglog, name: "Parsing", "Parsing finished")
102 os_signpost(.begin, log: parsinglog, name: "Parsing", "Parsing started SIZE:%ld", data.count) // Decode the JSON we just downloaded let result = try jsondecoder.decode(trail.self, from: data) os_signpost(.end, log: parsinglog, name: "Parsing", "Parsing finished")
103 os_signpost(.begin, log: parsinglog, name: "Parsing", "Parsing started SIZE:%ld", data.count) // Decode the JSON we just downloaded let result = try jsondecoder.decode(trail.self, from: data) os_signpost(.end, log: parsinglog, name: "Parsing", "Parsing finished")
104 <os-signpost-interval-schema> <id>json-parse</id> <title>image Download</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"networking"</category> <name> Parsing"</name> <start-pattern> <message>"parsing started SIZE:"?data-size</message> </start-pattern> <column> <mnemonic>data-size</mnemonic> <title>json Data Size</title> <type>size-in-bytes</type> <expression>?data-size</expression> </column> </os-signpost-interval-schema>
105 <os-signpost-interval-schema> <id>json-parse</id> <title>image Download</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"networking"</category> <name> Parsing"</name> <start-pattern> <message>"parsing started SIZE:"?data-size</message> </start-pattern> <column> <mnemonic>data-size</mnemonic> <title>json Data Size</title> <type>size-in-bytes</type> <expression>?data-size</expression> </column> </os-signpost-interval-schema>
106 <os-signpost-interval-schema> <id>json-parse</id> <title>image Download</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"networking"</category> <name> Parsing"</name> <start-pattern> <message>"parsing started SIZE:"?data-size</message> </start-pattern> <column> <mnemonic>data-size</mnemonic> <title>json Data Size</title> <type>size-in-bytes</type> <expression>?data-size</expression> </column> </os-signpost-interval-schema>
107 <os-signpost-interval-schema> <id>json-parse</id> <title>image Download</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"networking"</category> <name> Parsing"</name> <start-pattern> <message>"parsing started SIZE:"?data-size</message> </start-pattern> <column> <mnemonic>data-size</mnemonic> <title>json Data Size</title> <type>size-in-bytes</type> <expression>?data-size</expression> </column> </os-signpost-interval-schema>
108 <os-signpost-interval-schema> <id>json-parse</id> <title>image Download</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"networking"</category> <name> Parsing"</name> <start-pattern> <message>"parsing started SIZE:"?data-size</message> </start-pattern> <column> <mnemonic>data-size</mnemonic> <title>json Data Size</title> <type>size-in-bytes</type> <expression>?data-size</expression> </column> </os-signpost-interval-schema>
109 <os-signpost-interval-schema> <id>json-parse</id> <title>image Download</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"networking"</category> <name> Parsing"</name> <start-pattern> <message>"parsing started SIZE:"?data-size</message> </start-pattern> <column> <mnemonic>data-size</mnemonic> <title>json Data Size</title> <type>size-in-bytes</type> <expression>?data-size</expression> </column> </os-signpost-interval-schema>
110 Trailblazer Networking
111 Demo Intermediate-level instruments Kacper Harasim, Performance Tools Engineer
112 Trailblazer Networking
113 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
114 Modelers * * inputs modeler outputs
115 Modelers Time ordered * * inputs modeler outputs
116 Modelers Time ordered Working memory * * inputs modeler outputs
117 Modelers Time ordered Working memory * * Inference inputs modeler outputs
118 Modelers Time ordered Working memory * * Inference Output inputs modeler outputs
119 Example
120 Example <os-signpost-interval-schema> <id>playing-with-matches</id> playing-with-matches <title>playing with Matches</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"advisory"</category> <name>"playing with Matches"</name>
121 Example <os-signpost-interval-schema> <id>playing-with-matches</id> playing-with-matches <title>playing with Matches</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"advisory"</category> <name>"playing with Matches"</name> app-on-fire <os-signpost-interval-schema> <id>app-on-fire</id> <title>application on Fire!</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"advisory"</category> <name>"on Fire"</name>
122 Example <os-signpost-interval-schema> <id>playing-with-matches</id> playing-with-matches <title>playing with Matches</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"advisory"</category> <name>"playing with Matches"</name> app-on-fire <os-signpost-interval-schema> <id>app-on-fire</id> <title>application on Fire!</title> <subsystem>"com.apple.trailblazer"</subsystem> <category>"advisory"</category> <name>"on Fire"</name> started-a-fire <point-schema> <id>started-a-fire</id> <title>object started a fire!</title>
123 playing-with-matches playing-with-ma app-on-fire Time
124 playing-with-matches playing-with-ma app-on-fire Time
125 playing-with-matches playing-with-ma app-on-fire Time
126 cause-of-fire playing-with-matches playing-with-ma app-on-fire Time
127 cause-of-fire playing-with-matches playing-with-ma app-on-fire Time
128 Clock Current input timestamp Input facts must intersect Coincidence
129 Production System
130 Production System Facts
131 Production System Facts LHS => RHS
132 Production System Facts LHS => RHS Pattern
133 Production System Facts LHS => RHS Pattern Actions
134 Facts
135 Facts Input table
136 Facts Input table Assertions
137 Facts Input table Assertions Template
138 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
139 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
140 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
141 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
142 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
143 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
144 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
145 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
146 Modules
147 Modules MODELER::
148 Modules MODELER:: RECORDER::
149 Modules MODELER:: RECORDER:: Group rules
150 Modules MODELER:: RECORDER:: Group rules Orders execution
151 Logical Support
152 Logical Support Inference
153 Logical Support Inference Automatically retracts assertions
154 Logical Support Inference Automatically retracts assertions Limits working memory bloat
155 (defrule MODELER::found-cause (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) (test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
156 (defrule MODELER::found-cause (logical (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) )(test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
157 (defrule MODELER::found-cause (logical (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) )(test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
158 (defrule MODELER::found-cause (logical (playing-with-matches (start-time?t1) (who?object)) (app-on-fire (start-time?t2)) )(test (<?t1?t2)) => (assert (cause-of-fire (who?object))) )(defrule RECORDER::record-cause (app-on-fire (start-time?start)) (cause-of-fire (who?object)) (table (table-id?t) (side append)) (table-attribute (table-id?t) (has schema started-a-fire)) => (create-row?t) (set-column time?start) (set-column who?object) )
159 Demo Advanced instruments Kacper Harasim, Performance Tools Engineer
160 Why create custom instruments Architecture Getting started Intermediate Advanced Best practices
161 Write more than one instrument
162 Immediate mode is hard
163 Last 5s mode is the most efficient
164 More Information Measuring Performance Using Logging WWDC 2018 Custom Instruments Lab Technology Lab 8 Thursday 3:00PM
165
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