This doesn't really seem to impact performance, is just a bit cleaner way to write the QL code.
In the worst case, since we do string concat with empty string, we would need to load string + attempt to store new string in string pool, which is useless since we can surely just reuse the integer ID.
-- Previously
Evaluated non-recursive predicate ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0#join_rhs#CSE@5fdc6eia in 1ms (size: 2).
Evaluated relational algebra for predicate ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0#join_rhs#CSE@5fdc6eia with tuple counts:
1 ~0% {1} r1 = CONSTANT(unique string)[""]
1 ~0% {1} r2 = CONSTANT(unique string)[".__init__"]
2 ~0% {1} r3 = r1 UNION r2
return r3
Evaluated recursive predicate ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0@b4f54xlv in 72ms on iteration 1 (delta size: 26339).
Evaluated relational algebra for predicate ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0@b4f54xlv on iteration 1 running pipeline base with tuple counts:
6382 ~0% {3} r1 = JOIN ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0#join_rhs#CSE WITH Module#68efc075::Module::getFile#0#dispred#ff CARTESIAN PRODUCT OUTPUT Rhs.1, Lhs.0, Rhs.0
6066 ~2% {4} r2 = JOIN r1 WITH Module#68efc075::isPreferredModuleForName#2#ff ON FIRST 1 OUTPUT Lhs.2, _, Lhs.1, Rhs.1
{2} r3 = REWRITE r2 WITH Tmp.1 := "", Out.1 := InverseAppend(Tmp.1,In.2,In.3) KEEPING 2
3721 ~0% {2} r4 = SCAN r3 OUTPUT In.1, In.0
25945 ~2% {2} r5 = JOIN r4 WITH ImportResolution#f829f0f0::ImportResolution::getReferenceToModuleName#1#ff ON FIRST 1 OUTPUT Rhs.1, Lhs.1
38 ~4% {3} r6 = SCAN SsaDefinitions#9197156e::SsaSource::init_module_submodule_defn#2#ff OUTPUT In.1, _, In.0
38 ~1% {3} r7 = REWRITE r6 WITH Out.1 := -1
38 ~1% {2} r8 = JOIN r7 WITH py_scope_flow_021#join_rhs ON FIRST 2 OUTPUT Rhs.2, Lhs.2
38 ~0% {2} r9 = JOIN r8 WITH Module#68efc075::Module::getPackageName#0#dispred#ff ON FIRST 1 OUTPUT Lhs.1, Rhs.1
394 ~2% {2} r10 = JOIN r9 WITH Essa#24e22a14::EssaVariable::getSourceVariable#0#dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.1
394 ~0% {3} r11 = JOIN r10 WITH DataFlowPublic#c4b6ce7e::EssaNode#ff_10#join_rhs ON FIRST 1 OUTPUT Lhs.0, Lhs.1, Rhs.1
394 ~0% {5} r12 = JOIN r11 WITH Essa#24e22a14::EssaVariable::getName#0#dispred#ff ON FIRST 1 OUTPUT _, Lhs.2, Lhs.1, Rhs.1, _
394 ~0% {2} r13 = REWRITE r12 WITH Tmp.0 := ".", Tmp.4 := "", Out.0 := (In.2 ++ Tmp.0 ++ In.3 ++ Tmp.4) KEEPING 2
394 ~0% {5} r14 = JOIN r11 WITH Essa#24e22a14::EssaVariable::getName#0#dispred#ff ON FIRST 1 OUTPUT _, Lhs.2, Lhs.1, Rhs.1, _
394 ~1% {2} r15 = REWRITE r14 WITH Tmp.0 := ".", Tmp.4 := ".__init__", Out.0 := (In.2 ++ Tmp.0 ++ In.3 ++ Tmp.4) KEEPING 2
788 ~3% {2} r16 = r13 UNION r15
401 ~2% {2} r17 = JOIN r16 WITH Module#68efc075::isPreferredModuleForName#2#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.1
394 ~1% {2} r18 = JOIN r17 WITH Module#68efc075::Module::getFile#0#dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Lhs.1, Rhs.1
26339 ~1% {2} r19 = r5 UNION r18
return r19
-- Now
Evaluated recursive predicate ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0@409a0xhe in 8ms on iteration 1 (delta size: 26339).
Evaluated relational algebra for predicate ImportResolution#f829f0f0::ImportResolution::getImmediateModuleReference#1#ff#reorder_1_0@409a0xhe on iteration 1 running pipeline base with tuple counts:
3033 ~0% {2} r1 = JOIN Module#68efc075::Module::getFile#0#dispred#ff_10#join_rhs WITH Module#68efc075::isPreferredModuleForName#2#ff ON FIRST 1 OUTPUT Rhs.1, Lhs.1
3033 ~0% {4} r2 = JOIN Module#68efc075::Module::getFile#0#dispred#ff_10#join_rhs WITH Module#68efc075::isPreferredModuleForName#2#ff ON FIRST 1 OUTPUT Lhs.1, _, Rhs.1, _
{2} r3 = REWRITE r2 WITH Tmp.1 := "", Tmp.3 := ".__init__", Out.1 := InverseAppend(Tmp.1,Tmp.3,In.2) KEEPING 2
688 ~0% {2} r4 = SCAN r3 OUTPUT In.1, In.0
3721 ~0% {2} r5 = r1 UNION r4
25945 ~2% {2} r6 = JOIN r5 WITH ImportResolution#f829f0f0::ImportResolution::getReferenceToModuleName#1#ff ON FIRST 1 OUTPUT Rhs.1, Lhs.1
38 ~4% {3} r7 = SCAN SsaDefinitions#9197156e::SsaSource::init_module_submodule_defn#2#ff OUTPUT In.1, _, In.0
38 ~1% {3} r8 = REWRITE r7 WITH Out.1 := -1
38 ~1% {2} r9 = JOIN r8 WITH py_scope_flow_021#join_rhs ON FIRST 2 OUTPUT Rhs.2, Lhs.2
38 ~0% {2} r10 = JOIN r9 WITH Module#68efc075::Module::getPackageName#0#dispred#ff ON FIRST 1 OUTPUT Lhs.1, Rhs.1
394 ~2% {2} r11 = JOIN r10 WITH Essa#24e22a14::EssaVariable::getSourceVariable#0#dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.1
394 ~0% {3} r12 = JOIN r11 WITH DataFlowPublic#c4b6ce7e::EssaNode#ff_10#join_rhs ON FIRST 1 OUTPUT Lhs.0, Lhs.1, Rhs.1
394 ~2% {4} r13 = JOIN r12 WITH Essa#24e22a14::EssaVariable::getName#0#dispred#ff ON FIRST 1 OUTPUT _, Lhs.2, Lhs.1, Rhs.1
394 ~0% {2} r14 = REWRITE r13 WITH Tmp.0 := ".", Out.0 := (In.2 ++ Tmp.0 ++ In.3) KEEPING 2
394 ~0% {5} r15 = JOIN r12 WITH Essa#24e22a14::EssaVariable::getName#0#dispred#ff ON FIRST 1 OUTPUT _, Lhs.2, Lhs.1, Rhs.1, _
394 ~5% {2} r16 = REWRITE r15 WITH Tmp.0 := ".", Tmp.0 := (In.2 ++ Tmp.0 ++ In.3), Tmp.4 := ".__init__", Out.0 := (Tmp.0 ++ Tmp.4) KEEPING 2
788 ~0% {2} r17 = r14 UNION r16
401 ~1% {2} r18 = JOIN r17 WITH Module#68efc075::isPreferredModuleForName#2#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.1
394 ~1% {2} r19 = JOIN r18 WITH Module#68efc075::Module::getFile#0#dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Lhs.1, Rhs.1
26339 ~0% {2} r20 = r6 UNION r19
return r20
CodeQL
This open source repository contains the standard CodeQL libraries and queries that power GitHub Advanced Security and the other application security products that GitHub makes available to its customers worldwide.
How do I learn CodeQL and run queries?
There is extensive documentation on getting started with writing CodeQL using the CodeQL extension for Visual Studio Code and the CodeQL CLI.
Contributing
We welcome contributions to our standard library and standard checks. Do you have an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Before you do, though, please take the time to read our contributing guidelines. You can also consult our style guides to learn how to format your code for consistency and clarity, how to write query metadata, and how to write query help documentation for your query.
For information on contributing to CodeQL documentation, see the "contributing guide" for docs.
License
The code in this repository is licensed under the MIT License by GitHub.
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CodeQL for Visual Studio Code
You can install the CodeQL for Visual Studio Code extension to get syntax highlighting, IntelliSense, and code navigation for the QL language, as well as unit test support for testing CodeQL libraries and queries.
Tasks
The .vscode/tasks.json file defines custom tasks specific to working in this repository. To invoke one of these tasks, select the Terminal | Run Task... menu option, and then select the desired task from the dropdown. You can also invoke the Tasks: Run Task command from the command palette.