The idea is that we will do `save ==> synthetic`
and `synthetic ==> load`, so we don't need to do CP between save/load.
This setup with synthetic node in the middle, also allows for a limited
amount of the field-flow we can do with real flow-summary support.
Observed on `mozilla/bugbug` on the 2.8.0 CLI branch, we had the
following line in the timing report:
```
FullServerSideRequestForgery.ql-17:regex::RegexString::charSet_dispred#fff#antijoin_rhs ............... 1m13s
```
Inspecting the logs, we see the following join:
```
(644s) Tuple counts for regex::RegexString::charSet_dispred#fff#antijoin_rhs/5@f295d1bk after 1m13s:
1 ~0% {1} r1 = CONSTANT(unique string)["]"]
2389 ~4% {3} r2 = JOIN r1 WITH regex::RegexString::nonEscapedCharAt_dispred#fff_201#join_rhs ON FIRST 1 OUTPUT Rhs.1 'arg0', Rhs.2 'arg1', (Rhs.2 'arg1' + 1)
668873 ~0% {6} r3 = JOIN r2 WITH regex::RegexString::char_set_start_dispred#fff ON FIRST 1 OUTPUT Lhs.0 'arg0', "]", Lhs.1 'arg1', Lhs.2 'arg2', Rhs.1 'arg3', Rhs.2 'arg4'
537501371 ~4% {7} r4 = JOIN r3 WITH regex::RegexString::nonEscapedCharAt_dispred#fff_021#join_rhs ON FIRST 2 OUTPUT Lhs.0 'arg0', Lhs.2 'arg1', Lhs.3 'arg2', Lhs.4 'arg3', Lhs.5 'arg4', "]", Rhs.2
269085087 ~0% {7} r5 = SELECT r4 ON In.6 > In.4 'arg4'
89583155 ~3% {7} r6 = SELECT r5 ON In.6 < In.1 'arg1'
89583155 ~26634% {5} r7 = SCAN r6 OUTPUT In.0 'arg0', In.1 'arg1', In.2 'arg2', In.3 'arg3', In.4 'arg4'
return r7
```
Now, this is problematic not just because of the large intermediary join
but also because of the large number of tuples being materialised at the
end. The culprit in this case turns out to be this bit of `charSet`:
```
not exists(int mid | this.nonEscapedCharAt(mid) = "]" | mid > inner_start and mid < inner_end)
```
Rewriting this to instead look for the minimum index at which a `]`
appears resulted in a much nicer join.
I also fixed up a similar issue surrounding the `\N` unicode escape.
Not that I think this will necessarily be relevant, but the `min`-based
solution is more robust either way.
This means that DataFlowCall is only for resolvable calls, which might not seem
like a big thing in itself, but enables the next commit to actually work :P
Since this caused bad performance (as we had to evaluate points-to).
Fixes https://github.com/github/codeql/issues/6964
This approach was motivated by the comment on the issue from @tausbn:
> We discussed this internally in the CodeQL Python team, and have
> agreed that the best approach for now is to disable the printing of
> regex ASTs.
I tried to keep our RegExpTerm logic, but doing the fix below did not
work, and still evaluated RegExpTerm :| I guess we will just have to
revert this PR if we want it back
```diff
TRegExpTermNode(RegExpTerm term) {
+ none() and
exists(StrConst str | term.getRootTerm() = getParsedRegExp(str) and shouldPrint(str, _))
}
```
TL;DR: Something introduced the following bad join order:
```
(227s) Tuple counts for dom#TObject::TPythonTuple#ff/2@i2#8f58670w after 3m46s:
25000 ~0% {2} r1 = SCAN PointsToContext::PointsToContext::appliesToScope_dispred#ff#prev_delta OUTPUT In.1, In.0 'context'
24000 ~1% {2} r2 = JOIN r1 WITH @py_scope#f ON FIRST 1 OUTPUT Lhs.1 'context', Lhs.0
1076876712 ~6% {3} r3 = JOIN r2 WITH Flow::TupleNode#class#f CARTESIAN PRODUCT OUTPUT Rhs.0, Lhs.0 'context', Lhs.1
870129666 ~0% {3} r4 = JOIN r3 WITH Flow::ControlFlowNode::isLoad_dispred#f ON FIRST 1 OUTPUT Lhs.1 'context', Lhs.2, Lhs.0 'origin'
870129000 ~0% {3} r5 = r4 AND NOT dom#TObject::TPythonTuple#ff#prev(Lhs.2 'origin', Lhs.0 'context')
870129000 ~1% {3} r6 = SCAN r5 OUTPUT In.2 'origin', In.1, In.0 'context'
9000 ~0% {2} r7 = JOIN r6 WITH Flow::ControlFlowNode::getScope_dispred#ff ON FIRST 2 OUTPUT Lhs.0 'origin', Lhs.2 'context'
return r7
```
(...the above being the tuple counts _at the point when I cancelled the
query_!)
Rewriting the code to force a join between `TupleNode#class` and
`getScope` results in the following join orders:
```
(0s) Tuple counts for TObject::scope_loads_tuplenode#ff/2@b3cf0bo5 after 13ms:
37369 ~3% {1} r1 = JOIN Flow::TupleNode#class#f WITH Flow::ControlFlowNode::isLoad_dispred#f ON FIRST 1 OUTPUT Lhs.0 'origin'
37369 ~3% {2} r2 = JOIN r1 WITH Flow::ControlFlowNode::getScope_dispred#ff ON FIRST 1 OUTPUT Rhs.1 's', Lhs.0 'origin'
return r2
```
and
```
(78s) Tuple counts for dom#TObject::TPythonTuple#ff/2@i53#121c440w after 6ms:
34736 ~3% {2} r1 = SCAN PointsToContext::PointsToContext::appliesToScope_dispred#ff#prev_delta OUTPUT In.1, In.0 'context'
7370 ~5% {2} r2 = JOIN r1 WITH TObject::scope_loads_tuplenode#ff ON FIRST 1 OUTPUT Lhs.1 'context', Rhs.1 'origin'
7370 ~5% {2} r3 = r2 AND NOT dom#TObject::TPythonTuple#ff#prev(Lhs.1 'origin', Lhs.0 'context')
7370 ~1% {2} r4 = SCAN r3 OUTPUT In.1 'origin', In.0 'context'
return r4
```
the latter being the largest iteration of `dom#TPythonTuple` throughout
the log.
No other major performance issues were observed.
