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Fixing Performance and Memory Problems (RubyWine)
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Frederick Cheung
April 04, 2020
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Fixing Performance and Memory Problems (RubyWine)
Frederick Cheung
April 04, 2020
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Transcript
Fixing performance & Memory problems @fglc2 / dressipi
Part 1: The follow events happen in real-time
Realtime recommender
Realtime recommender Batch Predictions
Realtime recommender Batch Predictions Event Stream Recommender Realtime Predictions
Realtime recommender Batch Predictions Event Stream Recommender Realtime Predictions Results
We deployed to production
None
API Combine Serialize Batch Predictions Realtime Predictions
None
None
class ScoreMap def serialize to_int_array.pack("l<*") end def to_int_array @scores.flat_map do
|key, value| [ key, (value/(scale_factor + 1).to_i] end end def scale_factor @scores.values.max_by {|n| n.abs } .abs / 1000 end end
class ScoreMap def serialize to_int_array.pack("l<*") end def to_int_array @scores.flat_map do
|key, value| [ key, (value/(scale_factor + 1)).to_i] end end def scale_factor @scores.values.max_by {|n| n.abs }
class ScoreMap def serialize to_int_array.pack("l<*") end def to_int_array @scores.flat_map do
|key, value| [ key, (value/(scale_factor + 1)).to_i] end end def scale_factor @scores.values.max_by {|n| n.abs } .abs / 1000
def to_int_array @scores.flat_map do |key, value| [ key, (value/(scale_factor +
1)).to_i] end end def scale_factor @scores.values.max_by {|n| n.abs } .abs / 1000 end end
Ruby-Prof is a profiler • Records behaviour of your code
• Produces reports on where your code spends time • Use to analyse problems not detect them
None
require 'ruby-prof'
require 'ruby-prof' scores = load_example_data
require 'ruby-prof' scores = load_example_data result = RubyProf.profile do ScoreMap.new(scores).serialize
end
require 'ruby-prof' scores = load_example_data result = RubyProf.profile do ScoreMap.new(scores).serialize
end printer = RubyProf::GraphHtmlPrinter.new(result) File.open('out.html', 'w') do |file| printer.print(file) end
None
None
None
None
None
None
None
def to_int_array @scores.flat_map do |key, value| [ key, (value/(scale_factor +
1)).to_i] end end def scale_factor @scores.values.max_by {|n| n.abs } .abs / 1000 end
def to_int_array @scores.flat_map do |key, value| [ key, (value/(scale_factor +
1)).to_i] end end def scale_factor @scale_factor ||= @scores.values.max_by {|n| n.abs } .abs / 1000 end
None
Slows down your code
Can distort things
ruby-prof is exact
Sampling profilers
Sampling profilers • Sampling profilers monitor (sample) call stack periodically
and reports how often each method seen
Sampling profilers • Sampling profilers monitor (sample) call stack periodically
and reports how often each method seen • Sampling frequency controls accuracy vs overhead tradeoff
Stackprof StackProf.run(mode: :cpu, out: 'stackprof.dump') do ScoreMap.new(scores).serialize end
Stackprof StackProf.run(mode: :cpu, out: 'stackprof.dump') do ScoreMap.new(scores).serialize end
================================== Mode: cpu(1000) Samples: 435 (0.00% miss rate) GC: 2
(0.46%) ================================== TOTAL (pct) SAMPLES (pct) FRAME 433 (99.5%) 433 (99.5%) ScoreMap#scale_factor 2 (0.5%) 2 (0.5%) (garbage collection) 433 (99.5%) 0 (0.0%) ScoreMap#to_int_array 433 (99.5%) 0 (0.0%) ScoreMap#serialize 433 (99.5%) 0 (0.0%) block in <main> 433 (99.5%) 0 (0.0%) <main> 433 (99.5%) 0 (0.0%) <main>
================================== Mode: cpu(1000) Samples: 435 (0.00% miss rate) GC: 2
(0.46%) ================================== TOTAL (pct) SAMPLES (pct) FRAME 433 (99.5%) 433 (99.5%) ScoreMap#scale_factor 2 (0.5%) 2 (0.5%) (garbage collection) 433 (99.5%) 0 (0.0%) ScoreMap#to_int_array 433 (99.5%) 0 (0.0%) ScoreMap#serialize 433 (99.5%) 0 (0.0%) block in <main> 433 (99.5%) 0 (0.0%) <main> 433 (99.5%) 0 (0.0%) <main>
Overhead
Overhead • Code on its own: 6.05 s
Overhead • Code on its own: 6.05 s • Rubyprof:
~ 27s
Overhead • Code on its own: 6.05 s • Rubyprof:
~ 27s • Stackprof (default settings): 6.09s
Part 1 Summary
Part 1 Summary • Use monitoring (or angry users) to
detect problems
Part 1 Summary • Use monitoring (or angry users) to
detect problems • Refine with stackprof (if needed)
Part 1 Summary • Use monitoring (or angry users) to
detect problems • Refine with stackprof (if needed) • Reproduce the problem in a small benchmark
Part 1 Summary • Use monitoring (or angry users) to
detect problems • Refine with stackprof (if needed) • Reproduce the problem in a small benchmark • Use rubyprof to understand / fix the problem
Part 1 Summary • Use monitoring (or angry users) to
detect problems • Refine with stackprof (if needed) • Reproduce the problem in a small benchmark • Use rubyprof to understand / fix the problem • Profit!
Part 2: Memory
• Bitmap GC (1.9) • Generational GC (2.1) • Incremental
GC (2.2) • Symbol GC (2.2) • Transient Heap (2.6) • Compacting GC ( 2.7 )
You still have to worry about memory
NoMemoryError: failed to allocate
None
0 100 200 300 400
Memory leak
Where do they come from
Where do they come from • Leaks in native code
(C extensions)
Where do they come from • Leaks in native code
(C extensions) • Ruby thinks you are still using it (long lived objects, caches, etc.)
Where do they come from • Leaks in native code
(C extensions) • Ruby thinks you are still using it (long lived objects, caches, etc.) • Not understanding object lifecycles
class LeakingMiddleware def initialize(app) @app = app end def call(env)
... end def cached_thing(id) @things ||= {} @things[id] ||= Thing.find id end end
class LeakingMiddleware def initialize(app) @app = app end def call(env)
... end def cached_thing(id) @things ||= {} @things[id] ||= Thing.find id end end
Leaks are scary because
Leaks are scary because • Manifest as global problem
Leaks are scary because • Manifest as global problem •
Memory usage is complicated and noisy (caches, threads, lazy load)
Leaks are scary because • Manifest as global problem •
Memory usage is complicated and noisy (caches, threads, lazy load) • Easily hidden in a dependency (see bundler-leak)
Back to the problem
At least a year
At least a year • Slow or rare leak ~
2 weeks to exhaust memory at 3M requests / day
At least a year • Slow or rare leak ~
2 weeks to exhaust memory at 3M requests / day • App usually restarted often enough (deploys, autoscaling)
At least a year • Slow or rare leak ~
2 weeks to exhaust memory at 3M requests / day • App usually restarted often enough (deploys, autoscaling) • Failed instances automatically detected as unhealthy and replaced
None
But seriously
I couldn't reproduce the leak
What could be happening?
What could be happening? • Not picking the right endpoint
What could be happening? • Not picking the right endpoint
• Different usage patterns
What could be happening? • Not picking the right endpoint
• Different usage patterns • Environment differences
Debugging in production
rbtrace
rbtrace • Count / trace method calls, GCs
rbtrace • Count / trace method calls, GCs • Dump
backtraces
rbtrace • Count / trace method calls, GCs • Dump
backtraces • Execute arbitrary ruby
trace_object_allocations
trace_object_allocations • Part of Objectspace (in stdlib)
trace_object_allocations • Part of Objectspace (in stdlib) • Records details
about each memory allocation (when/ where/what)
trace_object_allocations • Part of Objectspace (in stdlib) • Records details
about each memory allocation (when/ where/what) • Dump to a file for analysis ( heap dump )
Note that this feature introduces a huge performance decrease and
huge memory consumption.
The plan
The plan • Only work on one instance
The plan • Only work on one instance • Use
rbtrace to dump heap from single rails process
The plan • Only work on one instance • Use
rbtrace to dump heap from single rails process • Analyse heap dump offline
I had to google this!
bundle exec rbtrace --pid $PID -e ' Thread.new { require
'objspace' ObjectSpace.trace_object_allocations_start }' Start Tracing
bundle exec rbtrace --pid $PID -e ' Thread.new { require
'objspace' ObjectSpace.trace_object_allocations_start }' Start Tracing
Dump GC.start io=File.open("/tmp/heap.dump", "w"); ObjectSpace.dump_all(output: io); io.close
What's in a heap dump?
None
"address": "0x7ff5bbdfc3f8",
"address": "0x7ff5bbdfc3f8", "type": "OBJECT", "class": "0x7ff5ba88b8e8",
"address": "0x7ff5bbdfc3f8", "type": "OBJECT", "class": "0x7ff5ba88b8e8", "file": "...gems/mongoid-7.0.5/lib/mongoid/document.rb", "line": 335,
"method": "allocate",
"address": "0x7ff5bbdfc3f8", "type": "OBJECT", "class": "0x7ff5ba88b8e8", "file": "...gems/mongoid-7.0.5/lib/mongoid/document.rb", "line": 335,
"method": "allocate", "generation": 62,
"address": "0x7ff5bbdfc3f8", "type": "OBJECT", "class": "0x7ff5ba88b8e8", "file": "...gems/mongoid-7.0.5/lib/mongoid/document.rb", "line": 335,
"method": "allocate", "generation": 62, "ivars": 3, "memsize": 40,
"address": "0x7ff5bbdfc3f8", "type": "OBJECT", "class": "0x7ff5ba88b8e8", "file": "...gems/mongoid-7.0.5/lib/mongoid/document.rb", "line": 335,
"method": "allocate", "generation": 62, "ivars": 3, "memsize": 40, "references": [ "0x7ff5bbe1c4f0" ],
"address": "0x7ff5bbdfc3f8", "type": "OBJECT", "class": "0x7ff5ba88b8e8", "file": "...gems/mongoid-7.0.5/lib/mongoid/document.rb", "line": 335,
"method": "allocate", "generation": 62, "ivars": 3, "memsize": 40, "references": [ "0x7ff5bbe1c4f0" ], "flags": { "wb_protected": true },
heapy
heapy $ heapy read good_heap.dump
heapy $ heapy read good_heap.dump Analyzing Heap ==============
heapy $ heapy read good_heap.dump Analyzing Heap ============== Generation: nil
object count: 475742, mem: 0.0 kb
heapy $ heapy read good_heap.dump Analyzing Heap ============== Generation: nil
object count: 475742, mem: 0.0 kb Generation: 61 object count: 5334, mem: 1782.5 kb Generation: 62 object count: 918, mem: 1324.8 kb Generation: 63 object count: 4, mem: 0.3 kb
heapy $ heapy read good_heap.dump Analyzing Heap ============== Generation: nil
object count: 475742, mem: 0.0 kb Generation: 61 object count: 5334, mem: 1782.5 kb Generation: 62 object count: 918, mem: 1324.8 kb Generation: 63 object count: 4, mem: 0.3 kb Generation: 2222 object count: 1, mem: 0.0 kb Generation: 2223 object count: 420, mem: 44.6 kb Generation: 2224 object count: 635, mem: 42.8 kb
Analyzing Heap ============== Generation: nil object count: 498011, mem: 0.0
kb Generation: 61 object count: 834, mem: 82.2 kb Generation: 62 object count: 36, mem: 3.9 kb Generation: 63 object count: 9, mem: 0.8 kb Generation: 64 object count: 3, mem: 0.4 kb Generation: 65 object count: 23, mem: 1.8 kb Generation: 66 object count: 16, mem: 1.4 kb Generation: 67 object count: 12, mem: 1.2 kb ...
Analyzing Heap ============== Generation: nil object count: 498011, mem: 0.0
kb Generation: 61 object count: 834, mem: 82.2 kb Generation: 62 object count: 36, mem: 3.9 kb Generation: 63 object count: 9, mem: 0.8 kb Generation: 64 object count: 3, mem: 0.4 kb Generation: 65 object count: 23, mem: 1.8 kb Generation: 66 object count: 16, mem: 1.4 kb Generation: 67 object count: 12, mem: 1.2 kb ...
Generation: 218 object count: 11, mem: 1.2 kb Generation: 219
object count: 10, mem: 1.1 kb Generation: 220 object count: 12, mem: 1.2 kb Generation: 221 object count: 12, mem: 1.2 kb Generation: 222 object count: 13, mem: 9.2 kb Generation: 223 object count: 10, mem: 1.0 kb Generation: 224 object count: 12, mem: 1.2 kb Generation: 225 object count: 12, mem: 1.2 kb Generation: 226 object count: 9, mem: 0.9 kb Generation: 227 object count: 11, mem: 1.2 kb ...
Generation: 1874 object count: 8, mem: 0.9 kb Generation: 1875
object count: 8, mem: 1.0 kb Generation: 1876 object count: 10, mem: 1.0 kb Generation: 1877 object count: 6, mem: 0.7 kb Generation: 1878 object count: 8, mem: 1.0 kb Generation: 1879 object count: 10, mem: 1.0 kb Generation: 1880 object count: 6, mem: 0.7 kb Generation: 1881 object count: 8, mem: 1.0 kb Generation: 1882 object count: 9, mem: 0.8 kb Generation: 1883 object count: 6, mem: 0.7 kb ...
$ heapy read heap.dump 1879
$ heapy read heap.dump 1879 allocated by memory (978) (in
bytes) ============================== 858 .../action_view/template.rb:296 120 .../active_support/core_ext/module/remove_method.rb:4
$ heapy read heap.dump 1879 allocated by memory (978) (in
bytes) ============================== 858 .../action_view/template.rb:296 120 .../active_support/core_ext/module/remove_method.rb:4 _app_views_mobile_layouts_widgets_html_haml__3857206368_702097383 _app_views_mobile_widgets_outfits_html_haml__3715565700_702097206 _app_views_mobile_layouts_widgets_html_haml__3857206368_702096884
$ heapy read heap.dump 1879 allocated by memory (978) (in
bytes) ============================== 858 .../action_view/template.rb:296 120 .../active_support/core_ext/module/remove_method.rb:4 _app_views_mobile_layouts_widgets_html_haml__3857206368_702097383 _app_views_mobile_widgets_outfits_html_haml__3715565700_702097206 _app_views_mobile_layouts_widgets_html_haml__3857206368_702096884 "flags":{"wb_protected":true, "old":true, "uncollectible":true }
2 Questions
2 Questions • Why is the method name uncollectible?
2 Questions • Why is the method name uncollectible? •
Why so many of them?
Ruby 2.2: Symbols can be garbage collected
Ruby 2.2: Symbols can be garbage collected *Terms and conditions
may apply Your statutory rights are not affected
2 Kinds of Symbols
2 Kinds of Symbols • Mortal symbols: created from foo.to_sym
2 Kinds of Symbols • Mortal symbols: created from foo.to_sym
• Immortal symbols: C-level references (rb_intern)
2 Kinds of Symbols • Mortal symbols: created from foo.to_sym
• Immortal symbols: C-level references (rb_intern) Defining a method creates an immortal symbol
Action View template caching
Action View template caching • Each template is compiled to
a method with random name
Action View template caching • Each template is compiled to
a method with random name • Each entry in the view search path is a resolver
Action View template caching • Each template is compiled to
a method with random name • Each entry in the view search path is a resolver • Resolvers return compiled template from cache or load from disk
before_action :set_view_path def set_view_path if mobile_site_requested? prepend_view_path "app/views/mobile" end end
before_action :set_view_path def set_view_path if mobile_site_requested? prepend_view_path "app/views/mobile" end end
before_action :set_view_path def set_view_path if mobile_site_requested? prepend_view_path "app/views/mobile" end end
devise/app/views app/views View Paths
devise/app/views app/views View Paths
devise/app/views app/views View Paths app/views/mobile
devise/app/views app/views View Paths app/views/mobile
devise/app/views app/views View Paths
devise/app/views app/views View Paths app/views/mobile
New (empty) cache on each request!
Each request leaks a symbol
None
None
Part 2 Summary
Part 2 Summary • Don't be afraid of production!
Part 2 Summary • Don't be afraid of production! •
Understand what/how using memory with heap dumps
Part 2 Summary • Don't be afraid of production! •
Understand what/how using memory with heap dumps • Pay attention to your objects' lifecycles
Thank you! @fglc2 / dressipi
Further Reading • https://samsaffron.com/archive/2015/03/31/debugging-memory- leaks-in-ruby • https://samsaffron.com/archive/2019/10/08/debugging-unmanaged- and-hidden-memory-leaks-in-ruby • https://blog.codeship.com/tracking-object-allocations-in-ruby/
• https://blog.codeship.com/debugging-a-memory-leak-on-heroku/ • https://www.slideshare.net/authorNari/symbol-gc • https://github.com/schneems/derailed_benchmarks • https://www.schneems.com/2019/11/07/why-does-my-apps- memory-usage-grow-asymptotically-over-time/