Jira (PUP-10628) Performance regression with large hashes using lookup

2020-10-12 Thread Claire Cadman (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Claire Cadman updated an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Claire Cadman  
 
 
Labels: 
 doc_reviewed  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-09-03 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 This also fixes the issue where the hash is validated multiple times for each level of the hash.  Previously PTypeSetType#instance? was three times with the following object o:  
 
 
 
 
    
 
 
 
  {'hash2' => {'hash3' =>  { 'key1' => ..., ... } } } {'hash3' => { 'key1' => ..., ... }  }  {'key1' => ... }  
 
 
 
 
    
 
 
 
  With the new code, the instance? is still called three times, but it returns immediately due to the object not being an instance of PTypeSetType.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-09-03 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Passed CI in 3b720e6e2e  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-09-01 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper updated an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Josh Cooper  
 
 
Release Notes: 
 Bug Fix  
 
 
Release Notes Summary: 
 Fixes a performance regression in 5.5.x and up which affected hiera lookups in large hashes.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-09-01 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Follow up merged to 5.5.x https://github.com/puppetlabs/puppet/commit/6f168e901fae4a3b8593a342f4df54044fed22dd. We now verify the object is an instance of (or subclass) of PTypeSetType.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-27 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper updated an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Josh Cooper  
 
 
Sprint: 
 Platform Core KANBAN  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-27 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper assigned an issue to Josh Cooper  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Josh Cooper  
 
 
Assignee: 
 Josh Cooper  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-27 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 I modified TypeSetType#instance? so inference is skipped if the object isn't a hash or if the pcore_version key is missing. The was merged to 5.5.x in https://github.com/puppetlabs/puppet/commit/d00f2a6a23f6a98daf2b954aea2e1bf01c020c17. I'm going to file a separate ticket to remove TypeSetType from RichData to be fixed in Puppet 7.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-27 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper updated an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Josh Cooper  
 
 
Team: 
 Coremunity  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-27 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper updated an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Josh Cooper  
 
 
Fix Version/s: 
 PUP 6.19.0  
 
 
Fix Version/s: 
 PUP 5.5.22  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-22 Thread Henrik Lindberg (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Henrik Lindberg commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Josh Cooper I think it is may be as easy as checking if it has the key "pcore_uri" - which should be present and signifies that "this is something that has to do with pcore" - but it could be that actual usage is too relaxed with the formalities of declaring this (or the pcore_version for that matter). Apart from Puppet core and possibly Bolt, I don't think there is any use of `TypeSet` in the wild - if so, the worst case would be that manually authored typeset files would need to be updated with the pcore_uri. Would need to ask Thomas Hallgren to get all the details.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-21 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Tests pass for me locally when Type and TypeSet are removed, so I submitted a PR https://github.com/puppetlabs/puppet/pull/8294.  It looks like TypeSet#instance? could be optimized to reject the value if the required pcore_version key is missing, but I'm not sure which keys are actually required based on the way __pcore_init_hash optionally parses the hash: https://github.com/puppetlabs/puppet/blob/main/lib/puppet/pops/types/p_type_set_type.rb#L174-L180.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-20 Thread Henrik Lindberg (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Henrik Lindberg commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 An optimization that was done in other places were that instead of inferring the type of the value and then matching the inferred against the desired you ask if it is an instance of the desired type - not sure if there is something like that going on here, or if also asking if it is an instance requires a deep recursion.  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-20 Thread Henrik Lindberg (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Henrik Lindberg commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 RichData as a format allows for types to be embedded in the serialization of data - that way, a serialization can be self describing. In serialization it is optional to use this, or to simply include types as reference via their name (i.e. "hoping" that the other side has the same definition of the type). Early on in the implementation of rich-data support in the catalog we did include the serialized types - but this proved to be too bulky.  There is currently no other data type (alias) defined for RichData without the Type and Type set types, but one could be created. Don't see it is of much practical use to support Type/TypeSet in hiera data, you would get the same if types were returned as strings and then turned into types dynamically - rather than a hiera backend returning an instance of Type/TypeSet. Not sure if dropping them from RichData would cause problems - probably not that difficult to test. Speeding up the inference is still of value - there may be some obvious things that can be done to make it faster to discriminate if a hash could possibly represent a type or typeset.   
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-20 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Excluding TypeSet from the list of possible data provider values types is about 300x faster:  
 
 
 
 
 diff --git a/lib/puppet/pops/loader/static_loader.rb b/lib/puppet/pops/loader/static_loader.rb  
 
 
 index 3e6b78ce4c..8faca4e84f 100644  
 
 
 --- a/lib/puppet/pops/loader/static_loader.rb  
 
 
 +++ b/lib/puppet/pops/loader/static_loader.rb  
 
 
 @@ -29,6 +29,7 @@ class StaticLoader < Loader  
 
 
  'Data' => 'Variant[ScalarData,Undef,Hash[String,Data],Array[Data]]',  
 
 
  'RichDataKey' => 'Variant[String,Numeric]',  
 
 
  'RichData' => 'Variant[Scalar,SemVerRange,Binary,Sensitive,Type,TypeSet,URI,Object,Undef,Default,Hash[RichDataKey,RichData],Array[RichData]]',  
 
 
 +'LookupDataValue' => 'Variant[Scalar,SemVerRange,Binary,Sensitive,Type,URI,Object,Undef,Default,Hash[RichDataKey,LookupDataValue],Array[LookupDataValue]]',  
 
 

 
 
  # Backward compatible aliases.  
 
 
  'Puppet::LookupKey' => 'RichDataKey',  

Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-20 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 This can be reproduced using:  
 
 
 
 
 require 'puppet'  
 
 
 require 'puppet/pops'  
 
 
    
 
 
 Puppet.initialize_settings  
 
 
 Puppet::Util::Log.newdestination(:console)  
 
 
    
 
 
 values = 0.upto(2000).inject({}) do |memo, i|  
 
 
   memo["key#{i}"] = "value#{i}"  
 
 
   memo  
 
 
 end  
 
 
    
 
 
 hash = { 'hash2' => { 'hash3' => values } }  
 
 
    
 
 
 Puppet::Util.benchmark(:notice, "Inferred hash is an instance of #{Puppet::Pops::Lookup::DataProvider.value_type.name} in %{seconds}") do  
   

Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-20 Thread Oleksandr Shtepa (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Oleksandr Shtepa commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Looks like same problem exists for facter code. On some node I have 270 IP addresses. --profile shows:  
 
 
 
 
 [puppetserver] Puppet functions -> net::ipaddresses4_list: 6.164248 s (5 calls)
  
 
 
 
  On a node with 3 IPs:  
 
 
 
 
 [puppetserver] Puppet functions -> net::ipaddresses4_list: 0.075847 s (5 calls)
  
 
 
 
  net::ipaddresses4_list only works with fact $::networking:  
 
 
 
 
 function net::ipaddresses4_list() >>Array[String] {  
 
 
   $::networking['interfaces'].filter|$v|{ 'bindings' in $v[1] }.reduce([])|$memo, $v|{ $memo + $v[1]['bindings'].map()|$i|{ $i['address']} }  
 
 
 }
  
 
 
 
   
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-19 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper commented on  PUP-10628  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
  Re: Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
 Thanks Oleksandr Shtepa! I was able to reproduce using your instructions:  
 
 
 
 
 # puppet --version  
 
 
 6.17.0  
 
 
 # cd /etc/puppetlabs/puppet  
 
 
 # cat hiera.yaml  
 
 
 ---  
 
 
 version: 5  
 
 
 defaults:  
 
 
   datadir: .  
 
 
   data_hash: yaml_data  
 
 
 hierarchy:  
 
 
   - name: test  
 
 
 path: test.yaml  
 
 
 # echo -e 'hash1:\n  hash2:\nhash3:' > test.yaml  
 
 
 # for i in {1..2000}; do echo "  key$i: value$i" >> test.yaml ; done  
 
 

Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-19 Thread Josh Cooper (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Josh Cooper updated an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Change By: 
 Josh Cooper  
 
 
Attachment: 
 rbspy-2020-08-20-gAPdCc51RI.flamegraph.svg  
 

  
 
 
 
 

 
 
 

 
 
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Jira (PUP-10628) Performance regression with large hashes using lookup

2020-08-19 Thread Oleksandr Shtepa (Jira)
Title: Message Title


 
 
 
 

 
 
 

 
   
 Oleksandr Shtepa created an issue  
 

  
 
 
 
 

 
 
  
 
 
 
 

 
 Puppet /  PUP-10628  
 
 
  Performance regression with large hashes using lookup   
 

  
 
 
 
 

 
Issue Type: 
  Bug  
 
 
Affects Versions: 
 PUP 6.17.0  
 
 
Assignee: 
 Unassigned  
 
 
Components: 
 Hiera & Lookup  
 
 
Created: 
 2020/08/19 7:55 AM  
 
 
Environment: 
 Test configuration (2000 items hash):  
 
 
 
 
 $ cat > hiera.yaml <  
 
 
 ---  
 
 
 version: 5  
 
 
 defaults:  
 
 
   datadir: .  
 
 
   data_hash: yaml_data  
 
 
 hierarchy:  
 
 
   - name: test