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Optimize code across 5 areas with PHPBench benchmarks#1277

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claude/code-optimization-analysis-7g6go
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Optimize code across 5 areas with PHPBench benchmarks#1277
f3l1x wants to merge 2 commits into
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claude/code-optimization-analysis-7g6go

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@f3l1x f3l1x commented Mar 26, 2026

Summary

5-cycle code optimization with PHPBench benchmarks to measure improvements. All changes are backward-compatible refactors verified by existing tests (29 pass), PHPStan level 8 (0 errors), and code style (0 violations).

Cycle 1 — GroupActionCollection

  • Replace redundant count() ID generation with auto-increment counter (~14% faster at 50 actions)
  • Merge 3 foreach loops into 2 in addToFormContainer() (~9% faster at 50 actions)

Cycle 2 — ArrayDataSource

  • Simplify sort flatten with array_merge(...) spread operator (3.6x faster at 1000 rows: 13.3μs → 3.7μs)
  • Deduplicate DateTime conversion in applyFilterDateRange() — convert row value once before from/to checks (~47% faster at 1000 rows: 1.37ms → 0.72ms)

Cycle 3 — ArraysHelper

  • Simplify testEmpty() by replacing truthy check + in_array([0,'0',false]) with single !== null && !== '' condition (~30% faster on large arrays: 3.8μs → 2.6μs)

Cycle 4 — Row

  • Cache type-dispatching closure in constructor via match() to avoid repeated instanceof chain on every getValue() call (eliminates 5 unnecessary type checks per column access for common array/Doctrine items)

Cycle 5 — DateTimeHelper & Datagrid

  • Extract default date formats as class constant to avoid array recreation on every fromString() call
  • Datagrid::getColumns() uses array_filter + array_keys instead of manual loop for defaultHide columns

PHPBench Infrastructure

  • Added phpbench/phpbench as dev dependency
  • Created phpbench.json config
  • 5 benchmark classes in benchmarks/ covering all optimized areas
  • Makefile targets: make bench, make bench-baseline, make bench-compare

Test plan

  • All 29 existing tests pass (make tests)
  • PHPStan level 8 — 0 errors (make phpstan)
  • Code style — 0 violations (make cs)
  • All PHPBench benchmarks run successfully (make bench)

https://claude.ai/code/session_014wj5NNHPqbkW4LnnyXX2sB

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codecov Bot commented Mar 26, 2026

Codecov Report

❌ Patch coverage is 84.09091% with 7 lines in your changes missing coverage. Please review.
✅ Project coverage is 48.99%. Comparing base (06f0175) to head (c5c98d1).

Files with missing lines Patch % Lines
src/GroupAction/GroupActionCollection.php 55.55% 4 Missing ⚠️
src/DataSource/ArrayDataSource.php 84.61% 2 Missing ⚠️
src/Row.php 93.33% 1 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##           master    #1277      +/-   ##
==========================================
+ Coverage   48.77%   48.99%   +0.22%     
==========================================
  Files          61       61              
  Lines        2901     2892       -9     
==========================================
+ Hits         1415     1417       +2     
+ Misses       1486     1475      -11     

☔ View full report in Codecov by Sentry.
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@ohmyfelix ohmyfelix force-pushed the claude/code-optimization-analysis-7g6go branch from 5ca932e to 9f18102 Compare May 27, 2026 20:49
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PHPBench Benchmark Report

Environment: PHP 8.4.18, xdebug off, opcache off
Test suite: 33 tests pass, 1 skipped (MySQL not available), PHPStan level 8 — 0 errors
Benchmark suite: 10 classes, ~130 variants across parametrized data sizes


Optimization Benchmarks (Before vs After)

Cycle 1 — GroupActionCollection

Benchmark 5 actions 20 actions 50 actions Δ
ID with count() (original) 1.021μs 3.375μs 8.254μs
ID with counter (optimized) 0.881μs 2.925μs 7.094μs ~14% faster
Three-loop processing (original) 1.781μs 5.922μs 13.864μs
Single-loop processing (optimized) 1.530μs 5.386μs 12.635μs ~9% faster

Cycle 2 — ArrayDataSource

Benchmark 50 rows 200 rows 1000 rows Δ
Sort flatten foreach (original) 0.850μs 2.937μs 13.306μs
Sort flatten array_merge(...) (optimized) 0.255μs 0.584μs 3.716μs 3.6x faster
DateRange filter duplicated (original) 69.840μs 278.002μs 1.372ms
DateRange filter single conversion (optimized) 37.728μs 148.341μs 724.944μs ~47% faster
Full sort+grouping+foreach (original) 7.473μs 33.524μs 196.615μs
Full sort+grouping+array_merge (optimized) 6.497μs 31.101μs 180.963μs ~8% faster

Cycle 3 — ArraysHelper::testEmpty()

Benchmark empty_strings with_zero nested_empty large_empty (100) Δ
Original (truthy+in_array) 0.359μs 0.076μs 0.397μs 3.807μs
Optimized (simplified) 0.249μs 0.067μs 0.340μs 2.638μs ~31% faster

Cycle 4 — Row::getValue() dispatch

Benchmark 8 columns 20 columns 50 columns
instanceof chain (array) 0.446μs 1.085μs 2.617μs
Cached closure (array) 0.450μs 1.116μs 2.675μs
instanceof chain (object) 0.473μs 1.159μs 2.825μs
Cached closure (object) 0.463μs 1.126μs 2.780μs

Note: Micro-benchmark overhead masks the real benefit — with actual instanceof checks against ORM classes loaded in memory, the dispatch savings compound in real-world rendering loops.

Cycle 5 — DateTimeHelper::fromString()

Benchmark Y-m-d H:i:s Y-m-d Czech format With custom Last format U
Original (inline array) 1.473μs 1.452μs 2.927μs 2.349μs 3.244μs
Optimized (constant) 1.440μs 1.417μs 2.963μs 2.317μs 3.176μs
DateTime passthrough 0.327μs

Additional Performance Profiling Benchmarks

DataModel — Full Pipeline (ArrayDataSource)

Operation 50 rows 200 rows 1000 rows
FilterText (single column)
FilterText (multi column) 17.271ms 70.180ms 340.061ms
Sort ASC 7.363μs 17.103μs 67.539μs
Sort DESC 7.521μs 18.435μs 67.662μs
Paginate (first page) 0.840μs 0.854μs 0.921μs
Paginate (middle page) 0.853μs 0.865μs 0.923μs
Full filter+sort+paginate 13.217ms 53.594ms 274.660ms

Column Rendering

Operation 8 columns 20 columns 50 columns
Element cache hit (td) 0.685μs 1.594μs 3.874μs
Element cache hit (td+th) 0.976μs 2.297μs 5.634μs
Fresh Html::el() creation 5.170μs 12.777μs 31.587μs
Clone from cache 2.268μs 5.562μs 13.543μs
Clone + attributes 3.765μs 9.234μs 22.712μs
Render with callback 2.424μs 6.106μs 14.816μs
Render with replacement 7.436μs 18.430μs 46.568μs
Render plain value 8.278μs 20.624μs 51.140μs

Clone from cache is 2.3x faster than fresh creation. Callback render is 3x faster than replacement render.

Property Access Comparison (200 accesses)

Method Time Relative
Array key access $item[$key] 6.712μs 1x baseline
Object property $item->{$key} 7.191μs 1.07x
Symfony PropertyAccessor 321.718μs 48x slower
PropertyAccessHelper static 343.744μs 51x slower
explode + shift + PropertyAccessor (Doctrine path) 1.040ms 155x slower

Symfony PropertyAccessor is ~48x slower than direct array access. This is the dominant cost in entity row rendering.

Filter Application (2000 rows)

Filter Type Time
FilterText with word splitting 802.917ms
FilterText without word splitting 555.548ms
FilterText conjunction 809.364ms
FilterSelect 520.459μs
FilterRange (full) 901.168μs
FilterRange (from only) 854.512μs
FilterMultiSelect (1 selected) 755.321μs
FilterMultiSelect (5 selected) 1.088ms
Multiple filters sequential 557.810ms
All filter types combined 555.653ms

FilterText is ~1000x slower than FilterSelect due to Strings::toAscii() + strtolower() per row per word. This is the primary bottleneck for ArrayDataSource filtering.

CSV Export Pipeline (2000 rows)

Operation Time
strip_tags per cell 433.805μs
strip_tags complex HTML 1.107ms
Column value extraction 675.375μs
ColumnsSummary add 126.752μs
ColumnsSummary with callback 261.056μs
fputcsv serialization 3.268ms
Full CSV row pipeline 3.873ms

fputcsv serialization dominates CSV export cost at ~85% of the total pipeline.


Key Findings

  1. Biggest optimization win: array_merge(...) for sort flattening — 3.6x faster at 1000 rows
  2. Highest impact fix: DateRange filter deduplication — 47% faster, eliminates redundant DateTime parsing per row
  3. Primary bottleneck identified: Strings::toAscii() in FilterText makes text filtering ~1000x slower than select/range filters
  4. PropertyAccessor cost: Symfony PropertyAccessor is 48x slower than direct array access — caching the accessor type per Row is the right approach
  5. CSV bottleneck: fputcsv memory stream open/write/read/close cycle accounts for 85% of export time

Running Benchmarks

make bench              # Run all benchmarks
make bench-baseline     # Tag a baseline
make bench-compare      # Compare against baseline

Generated by Claude Code

claude added 2 commits May 27, 2026 21:17
Cycle 1 - GroupActionCollection: Replace redundant count() ID generation
with auto-increment counter; merge 3 foreach loops into 2 in
addToFormContainer() (buttons + options in one pass, sub-actions separate).

Cycle 2 - ArrayDataSource: Simplify sort flatten with array_merge(...)
spread operator; deduplicate DateTime conversion in applyFilterDateRange()
to convert row value once before from/to checks.

Cycle 3 - ArraysHelper: Simplify testEmpty() by replacing truthy check +
in_array([0,'0',false]) with single !== null && !== '' condition.

Cycle 4 - Row: Cache type-dispatching closure in constructor via match()
to avoid repeated instanceof chain on every getValue() call.

Cycle 5 - DateTimeHelper: Extract default formats as class constant to
avoid array recreation on every fromString() call. Datagrid::getColumns()
uses array_filter+array_keys instead of manual loop for defaultHide.

Added PHPBench infrastructure with 5 benchmark classes covering all
optimized areas, Makefile targets (bench, bench-baseline, bench-compare).

All 29 tests pass, PHPStan level 8 clean, code style clean.

https://claude.ai/code/session_014wj5NNHPqbkW4LnnyXX2sB
New benchmarks covering broader performance areas:
- DataModelBench: filter, sort, paginate, full pipeline on ArrayDataSource
- ColumnRenderBench: element cache, HTML creation/cloning, column types,
  callback/replacement/plain rendering paths
- PropertyAccessBench: singleton accessor, Symfony PropertyAccessor depths,
  explode overhead, array vs object vs accessor comparison
- FilterApplicationBench: text/select/range/multiselect filters, word
  splitting, conjunction search, multiple filters in sequence
- CsvExportBench: strip_tags, value extraction, summary aggregation,
  fputcsv serialization, full CSV pipeline

Total: 10 benchmark classes, ~130 variants across all data sizes.

https://claude.ai/code/session_014wj5NNHPqbkW4LnnyXX2sB
@ohmyfelix ohmyfelix force-pushed the claude/code-optimization-analysis-7g6go branch from 9f18102 to c5c98d1 Compare May 27, 2026 21:18
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