Files
codeql/python
Taus a73e382dfe Python: Prevent bad join in hashlib model
I'm not entirely sure what triggered this bad join order, but some
combination of the use of abstract classes and the exclusion of `new`
caused this to go really wrong:

```
WeakSensitiveDataHashing.ql-15:Stdlib::Stdlib::HashlibDataPassedToHashClass#class#ffff ......... 15.5s
```

with the following tuple counts:
```
[2021-07-12 13:20:15] (16s) Tuple counts for Stdlib::Stdlib::HashlibDataPassedToHashClass#class#ffff/4@217901:
148810  ~3%        {3} r1 = JOIN DataFlowPublic::CallCfgNode#class#ff#shared WITH project#DataFlowPublic::CallCfgNode::getArg_dispred#fff ON FIRST 1 OUTPUT "hashlib", Lhs.1 'node', Lhs.0 'this'
148810  ~4%        {3} r2 = JOIN r1 WITH ApiGraphs::API::Impl::MkModuleImport#ff@staged_ext ON FIRST 1 OUTPUT Rhs.1, Lhs.1 'node', Lhs.2 'this'
7589310 ~486%      {4} r3 = JOIN r2 WITH ApiGraphs::API::Impl::edge#2#fff@staged_ext ON FIRST 1 OUTPUT Lhs.1 'node', Lhs.2 'this', Rhs.1, InverseAppend("getMember(\"","\")",Rhs.1)
6994070 ~490%      {4} r4 = SELECT r3 ON In.3 != "new"
6994070 ~4503%     {2} r5 = SCAN r4 OUTPUT In.1 'this', In.0 'node'

22      ~4%        {3} r6 = JOIN DataFlowPublic::CallCfgNode#class#ff#shared WITH project#DataFlowPublic::CallCfgNode::getArgByName_dispred#fff ON FIRST 1 OUTPUT "hashlib", Lhs.1 'node', Lhs.0 'this'
22      ~0%        {3} r7 = JOIN r6 WITH ApiGraphs::API::Impl::MkModuleImport#ff@staged_ext ON FIRST 1 OUTPUT Rhs.1, Lhs.1 'node', Lhs.2 'this'
1122    ~437%      {4} r8 = JOIN r7 WITH ApiGraphs::API::Impl::edge#2#fff@staged_ext ON FIRST 1 OUTPUT Lhs.1 'node', Lhs.2 'this', Rhs.1, InverseAppend("getMember(\"","\")",Rhs.1)
1034    ~460%      {4} r9 = SELECT r8 ON In.3 != "new"
1034    ~4549%     {2} r10 = SCAN r9 OUTPUT In.1 'this', In.0 'node'

6995104 ~4503%     {2} r11 = r5 UNION r10
5213851 ~4683%     {3} r12 = JOIN r11 WITH ApiGraphs::API::Node::getACall_dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1 'hashClass', Lhs.1 'node', Lhs.0 'this'
6478480 ~4646%     {6} r13 = JOIN r12 WITH ApiGraphs::API::Impl::edge#2#fff_201#join_rhs ON FIRST 1 OUTPUT "hashlib", Rhs.1, Lhs.1 'node', Lhs.2 'this', Lhs.0 'hashClass', Rhs.2
1410    ~4693%     {5} r14 = JOIN r13 WITH ApiGraphs::API::Impl::MkModuleImport#ff@staged_ext ON FIRST 2 OUTPUT Lhs.2 'node', Lhs.3 'this', Lhs.4 'hashClass', Lhs.5, InverseAppend("getMember(\"","\")",Lhs.5)
1222    ~4540%     {5} r15 = SELECT r14 ON In.4 'hashName' != "new"
1222    ~4540%     {4} r16 = SCAN r15 OUTPUT In.1 'this', In.4 'hashName', In.2 'hashClass', In.0 'node'
```

By factoring out the insides, the biggest iteration now looks like

```
[2021-07-12 14:17:36] (0s) Tuple counts for Stdlib::Stdlib::HashlibDataPassedToHashClass#class#ffff/4@85bb21:
148810 ~0%     {2} r1 = JOIN DataFlowPublic::CallCfgNode#class#ff#shared WITH project#DataFlowPublic::CallCfgNode::getArg_dispred#fff ON FIRST 1 OUTPUT Lhs.1 'node', Lhs.0 'this'
148810 ~0%     {2} r2 = JOIN r1 WITH Stdlib::Stdlib::hashlibMember#ff#nonempty CARTESIAN PRODUCT OUTPUT Lhs.1 'this', Lhs.0 'node'

22     ~0%     {2} r3 = JOIN DataFlowPublic::CallCfgNode#class#ff#shared WITH project#DataFlowPublic::CallCfgNode::getArgByName_dispred#fff ON FIRST 1 OUTPUT Lhs.1 'node', Lhs.0 'this'
22     ~0%     {2} r4 = JOIN r3 WITH Stdlib::Stdlib::hashlibMember#ff#nonempty CARTESIAN PRODUCT OUTPUT Lhs.1 'this', Lhs.0 'node'

148832 ~0%     {2} r5 = r2 UNION r4
110933 ~2%     {3} r6 = JOIN r5 WITH ApiGraphs::API::Node::getACall_dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1 'hashClass', Lhs.1 'node', Lhs.0 'this'
26     ~0%     {4} r7 = JOIN r6 WITH Stdlib::Stdlib::hashlibMember#ff_10#join_rhs ON FIRST 1 OUTPUT Lhs.2 'this', Rhs.1 'hashName', Lhs.0 'hashClass', Lhs.1 'node'
               return r7
```

(The tuple counts themselves are not directly comparable.)
2021-07-12 14:22:21 +00:00
..