CodeQL Python query runs extremely slow on medium-sized project using TaintTracking::Global

I'm experiencing very slow performance when running a CodeQL query on a Python project using `TaintTracking::Global`. The analysis never finishes, even after more than **2 hours**, on a project that I believe is not very large. Below are some details:

* **CVE project**: CVE-2024-23637
* **Python files**: 263
* **Total lines**: \~88,981
* **Sources**: < 200
* **Sinks**: < 200
* **Tracking config**: `TaintTracking::Global`

My query looks like this:

```ql
module RemoteToFileConfiguration implements DataFlow::ConfigSig {
predicate isSource(DataFlow::Node source) {
MySources::isSource(source)
}

predicate isSink(DataFlow::Node sink) {
MySinks::isMySink(sink)
}
}

module Flow = TaintTracking::Global;
import Flow::PathGraph

from Flow::PathNode source, Flow::PathNode sink
where Flow::flowPath(source, sink)
select sink.getNode(), source, sink, "Flow path from source to sink"
```

I defined sinks or sources like this (simplified):

```ql
module MySinks {
class Sink extends DataFlow::Node {
Sink() {
exists(FunctionValue func, Call call |
func.getQualifiedName() = "run_code" or
func.getQualifiedName() = "check_syntax_error" or
...
call.getFunc().pointsTo(func) and
this = DataFlow::exprNode(call.getAnArg())
)
}
}

predicate isMySink(DataFlow::Node sink) {
exists(Sink s | s = sink)
}
}
```

### My questions:

1. Why is the performance so slow in this case?
2. Are there any best practices for optimizing `TaintTracking::Global` on Python?
3. I tried using `func.getQualifiedName()` with a full path like `"Module xml.etree.ElementInclude.Function default_loader"`, but it didn’t work in VSCode (the function wasn't found). Is there a correct way to define sinks using fully qualified names for Python?

Thank you very much for any guidance or suggestions!