[thehabbos007]

🌟 Purpose

This PR binds a definition's variables to the $NAME parameters of workspace queries, through WorkspaceConfig::variables.

🔍 Changes

• WorkspaceConfig::variables takes the definition's Variables, so the engine now depends on hash-integrations-definition.
• Values are bound as VARCHAR. A query casts a value where it needs another type, as in $MIN_SEATS::INTEGER.
• A parameter with no variable fails with StatementError::UnknownParameter. A positional parameter, ? or $1, fails the same way, as parameter 1.

[codspeed]

Merging this PR will degrade performance by 15.93%

3 warnings

⚠️ Unable to measure the execution of 6 benchmarks

These benchmarks measured no execution time, so their results are not comparable and count as unchanged. This usually happens when the compiler removes the code under test.

Prevent compiler optimizations

See affected benchmarks

⚠️ 1 benchmark is dominated by system calls

System calls cannot be simulated consistently and are left out of the measure. The reported value understates the real cost. Switch to the Walltime instrument to measure them.

Learn more about system calls

See affected benchmarks

⚠️ Base and head ran on different runner types

Some benchmarks with significant performance changes were compared across different runner types, so the changes might not come from the code. Run base and head on the same runner type, or use CodSpeed Macro Runners for more stable results.

Learn more about Macro Runners

Open the report in CodSpeed to investigate

❌ 2 regressed benchmarks
✅ 96 untouched benchmarks

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	bit_matrix/dense/iter_row[64]	137.2 ns	166.4 ns	-17.53%
❌	bit_matrix/dense/iter_row[200]	174.7 ns	203.9 ns	-14.31%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing asa/hash-integrations/04c-engine-parameters (a1b75a6) with main (edc93ea)¹}

Footnotes

1. No successful run was found on asa/hash-integrations/04b-engine-limits (1a45678) during the generation of this report, so main (edc93ea) was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

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Project	Deployment	Actions	Updated
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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 68.11%. Comparing base (1a45678) to head (a1b75a6).

Additional details and impacted files

@@                           Coverage Diff                            @@
##           asa/hash-integrations/04b-engine-limits   #10004   +/-   ##
========================================================================
  Coverage                                    68.10%   68.11%           
========================================================================
  Files                                         2017     2017           
  Lines                                       206889   206914   +25     
  Branches                                      8823     8823           
========================================================================
+ Hits                                        140907   140934   +27     
+ Misses                                       64301    64300    -1     
+ Partials                                      1681     1680    -1     

Flag	Coverage Δ
hash-integrations-engine	91.22% <100.00%> (+0.62%)	⬆️

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[github-actions]

Benchmark results

hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$29.0 \mathrm{ms} \pm 279 \mathrm{μs}\left({\color{gray}1.66 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.56 \mathrm{ms} \pm 30.0 \mathrm{μs}\left({\color{gray}0.011 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$13.8 \mathrm{ms} \pm 165 \mathrm{μs}\left({\color{gray}-0.801 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$45.6 \mathrm{ms} \pm 511 \mathrm{μs}\left({\color{gray}-1.043 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.1 \mathrm{ms} \pm 174 \mathrm{μs}\left({\color{gray}-3.556 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$25.6 \mathrm{ms} \pm 279 \mathrm{μs}\left({\color{gray}-1.879 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$29.8 \mathrm{ms} \pm 277 \mathrm{μs}\left({\color{gray}2.59 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.95 \mathrm{ms} \pm 36.7 \mathrm{μs}\left({\color{gray}3.05 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$15.5 \mathrm{ms} \pm 135 \mathrm{μs}\left({\color{red}7.14 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.96 \mathrm{ms} \pm 29.4 \mathrm{μs}\left({\color{gray}0.280 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.20 \mathrm{ms} \pm 35.9 \mathrm{μs}\left({\color{gray}3.57 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.54 \mathrm{ms} \pm 34.0 \mathrm{μs}\left({\color{gray}0.260 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.41 \mathrm{ms} \pm 45.9 \mathrm{μs}\left({\color{gray}-1.702 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.71 \mathrm{ms} \pm 28.6 \mathrm{μs}\left({\color{gray}-0.525 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.42 \mathrm{ms} \pm 52.4 \mathrm{μs}\left({\color{gray}0.764 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.71 \mathrm{ms} \pm 43.2 \mathrm{μs}\left({\color{gray}-1.083 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.53 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}-1.975 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.34 \mathrm{ms} \pm 45.9 \mathrm{μs}\left({\color{gray}-1.266 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.84 \mathrm{ms} \pm 28.3 \mathrm{μs}\left({\color{gray}-0.142 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.77 \mathrm{ms} \pm 23.5 \mathrm{μs}\left({\color{gray}1.29 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.89 \mathrm{ms} \pm 33.0 \mathrm{μs}\left({\color{gray}-0.140 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.19 \mathrm{ms} \pm 27.4 \mathrm{μs}\left({\color{gray}-0.832 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.92 \mathrm{ms} \pm 18.6 \mathrm{μs}\left({\color{gray}-3.017 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.25 \mathrm{ms} \pm 23.3 \mathrm{μs}\left({\color{gray}-2.092 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.21 \mathrm{ms} \pm 25.5 \mathrm{μs}\left({\color{gray}-0.466 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.87 \mathrm{ms} \pm 24.6 \mathrm{μs}\left({\color{gray}-3.541 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$3.07 \mathrm{ms} \pm 26.2 \mathrm{μs}\left({\color{gray}-0.702 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.63 \mathrm{ms} \pm 28.3 \mathrm{μs}\left({\color{gray}-0.959 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.12 \mathrm{ms} \pm 24.8 \mathrm{μs}\left({\color{gray}-0.857 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.39 \mathrm{ms} \pm 23.4 \mathrm{μs}\left({\color{gray}-0.465 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.63 \mathrm{ms} \pm 32.9 \mathrm{μs}\left({\color{gray}0.361 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.18 \mathrm{ms} \pm 33.1 \mathrm{μs}\left({\color{gray}-2.154 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.48 \mathrm{ms} \pm 30.4 \mathrm{μs}\left({\color{gray}-3.412 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$33.5 \mathrm{ms} \pm 224 \mathrm{μs}\left({\color{gray}-0.694 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$74.2 \mathrm{ms} \pm 654 \mathrm{μs}\left({\color{gray}0.053 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$37.1 \mathrm{ms} \pm 280 \mathrm{μs}\left({\color{gray}-0.352 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$41.3 \mathrm{ms} \pm 349 \mathrm{μs}\left({\color{gray}-0.989 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$43.6 \mathrm{ms} \pm 278 \mathrm{μs}\left({\color{gray}0.810 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$34.8 \mathrm{ms} \pm 288 \mathrm{μs}\left({\color{gray}-1.065 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$437 \mathrm{ms} \pm 2.02 \mathrm{ms}\left({\color{gray}0.929 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$94.0 \mathrm{ms} \pm 728 \mathrm{μs}\left({\color{gray}-1.662 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$83.0 \mathrm{ms} \pm 998 \mathrm{μs}\left({\color{gray}1.02 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$285 \mathrm{ms} \pm 1.63 \mathrm{ms}\left({\color{gray}-0.147 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$11.0 \mathrm{ms} \pm 88.2 \mathrm{μs}\left({\color{gray}-0.125 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$11.2 \mathrm{ms} \pm 84.2 \mathrm{μs}\left({\color{gray}0.292 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$11.3 \mathrm{ms} \pm 93.8 \mathrm{μs}\left({\color{gray}1.35 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$11.1 \mathrm{ms} \pm 78.4 \mathrm{μs}\left({\color{gray}-1.881 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$10.9 \mathrm{ms} \pm 100 \mathrm{μs}\left({\color{gray}-3.503 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$10.9 \mathrm{ms} \pm 76.3 \mathrm{μs}\left({\color{gray}-1.928 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$10.9 \mathrm{ms} \pm 81.0 \mathrm{μs}\left({\color{gray}-3.995 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$11.0 \mathrm{ms} \pm 88.0 \mathrm{μs}\left({\color{gray}0.222 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$11.2 \mathrm{ms} \pm 124 \mathrm{μs}\left({\color{gray}-3.185 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.4 \mathrm{ms} \pm 104 \mathrm{μs}\left({\color{gray}-2.705 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1	$$11.5 \mathrm{ms} \pm 86.5 \mathrm{μs}\left({\color{gray}-0.319 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$11.3 \mathrm{ms} \pm 104 \mathrm{μs}\left({\color{gray}-1.393 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$11.2 \mathrm{ms} \pm 95.1 \mathrm{μs}\left({\color{gray}-2.424 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$11.6 \mathrm{ms} \pm 102 \mathrm{μs}\left({\color{gray}2.12 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$11.2 \mathrm{ms} \pm 72.8 \mathrm{μs}\left({\color{gray}-1.842 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$11.4 \mathrm{ms} \pm 98.8 \mathrm{μs}\left({\color{gray}1.17 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$11.5 \mathrm{ms} \pm 82.9 \mathrm{μs}\left({\color{gray}0.857 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$11.3 \mathrm{ms} \pm 81.9 \mathrm{μs}\left({\color{gray}-1.597 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$11.3 \mathrm{ms} \pm 104 \mathrm{μs}\left({\color{gray}-2.477 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$8.50 \mathrm{ms} \pm 64.3 \mathrm{μs}\left({\color{gray}2.06 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$58.6 \mathrm{ms} \pm 441 \mathrm{μs}\left({\color{gray}-0.037 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$112 \mathrm{ms} \pm 745 \mathrm{μs}\left({\color{gray}0.870 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$65.0 \mathrm{ms} \pm 622 \mathrm{μs}\left({\color{gray}0.475 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$73.6 \mathrm{ms} \pm 689 \mathrm{μs}\left({\color{gray}-3.196 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$84.5 \mathrm{ms} \pm 804 \mathrm{μs}\left({\color{gray}-1.747 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$90.8 \mathrm{ms} \pm 698 \mathrm{μs}\left({\color{gray}-1.591 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$47.0 \mathrm{ms} \pm 369 \mathrm{μs}\left({\color{gray}-1.534 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$75.0 \mathrm{ms} \pm 487 \mathrm{μs}\left({\color{gray}-2.736 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$54.2 \mathrm{ms} \pm 609 \mathrm{μs}\left({\color{gray}-1.260 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$62.0 \mathrm{ms} \pm 454 \mathrm{μs}\left({\color{gray}-3.439 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$63.8 \mathrm{ms} \pm 502 \mathrm{μs}\left({\color{gray}-1.644 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$64.2 \mathrm{ms} \pm 602 \mathrm{μs}\left({\color{gray}-1.765 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$113 \mathrm{ms} \pm 944 \mathrm{μs}\left({\color{gray}-2.036 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$125 \mathrm{ms} \pm 839 \mathrm{μs}\left({\color{gray}-2.288 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$25.0 \mathrm{ms} \pm 288 \mathrm{μs}\left({\color{gray}3.05 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$511 \mathrm{ms} \pm 1.77 \mathrm{ms}\left({\color{gray}-2.221 \mathrm{\%}}\right) $$	Flame Graph

[cursor]

PR Summary

Medium Risk
Changes how all workspace SQL is executed (parameter binding path) and ties query behavior to caller-supplied variable values; incorrect or missing variables will fail queries that previously ran without parameters.

Overview
Integration definition variables are now bound to DuckDB $NAME parameters when the integrations engine runs workspace query and create_table.

WorkspaceConfig gains a variables field (hash-integrations-definition::Variables), stored on the workspace connection and passed into DuckDB via prepared-statement binding. Values are supplied as text; SQL is expected to cast where needed (e.g. $MIN_SEATS::INTEGER). Parameter names are resolved case-insensitively against the variable map. Missing bindings—including positional ? / $1—fail with StatementError::UnknownParameter.

The engine now depends on hash-integrations-definition. Integration tests cover successful binding (including injection-like string values) and refusal of unset parameters.

^{Reviewed by Cursor Bugbot for commit 4562bd9. Bugbot is set up for automated code reviews on this repo. Configure here.}