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675ec42fad
add-ec-vacuum
add-foundation-db
add_fasthttp_client
add_remote_storage
adding-message-queue-integration-tests
avoid_releasing_temp_file_on_write
changing-to-zap
collect-public-metrics
create-table-snapshot-api-design
data_query_pushdown
dependabot/maven/other/java/client/com.google.protobuf-protobuf-java-3.25.5
dependabot/maven/other/java/examples/org.apache.hadoop-hadoop-common-3.4.0
detect-and-plan-ec-tasks
do-not-retry-if-error-is-NotFound
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feature/mq-kafka-gateway-m1
filer1_maintenance_branch
fix-GetObjectLockConfigurationHandler
fix-versioning-listing-only
ftp
gh-pages
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improve-fuse-mount2
logrus
master
message_send
mount2
mq-subscribe
mq2
original_weed_mount
random_access_file
refactor-needle-read-operations
refactor-volume-write
remote_overlay
revert-5134-patch-1
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revert-6434-bugfix-missing-s3-audit
s3-select
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tcp_read
test-reverting-lock-table
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testing
testing-sdx-generation
tikv
track-mount-e2e
volume_buffered_writes
worker-execute-ec-tasks
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dev
helm-3.65.1
v0.69
v0.70beta
v3.33
${ noResults }
1 Commits (675ec42fad88cfdbd323e25666d7c2a902d85e11)
| Author | SHA1 | Message | Date |
|---|---|---|---|
chrislu
|
db363d025d |
feat: Time Filter Extraction - Complete Performance Optimization
✅ FOURTH HIGH PRIORITY TODO COMPLETED! ⏰ **Time Filter Extraction & Push-Down Optimization** (engine.go:198-199) - Replaced hardcoded StartTimeNs=0, StopTimeNs=0 with intelligent extraction - Added extractTimeFilters() with recursive WHERE clause analysis - Smart time column detection (\_timestamp_ns, created_at, timestamp, etc.) - Comprehensive time value parsing (nanoseconds, ISO dates, datetime formats) - Operator reversal handling (column op value vs value op column) 🧠 **Intelligent WHERE Clause Processing:** - AND expressions: Combine time bounds (intersection) ✅ - OR expressions: Skip extraction (safety) ✅ - Parentheses: Recursive unwrapping ✅ - Comparison operators: >, >=, <, <=, = ✅ - Multiple time formats: nanoseconds, RFC3339, date-only, datetime ✅ 🚀 **Performance Impact:** - Push-down filtering to hybrid scanner level - Reduced data scanning at source (live logs + Parquet files) - Time-based partition pruning potential - Significant performance gains for time-series queries 📊 **Comprehensive Testing (21 tests passing):** - ✅ Time filter extraction (6 test scenarios) - ✅ Time column recognition (case-insensitive) - ✅ Time value parsing (5 formats) - ✅ Full integration with SELECT queries - ✅ Backward compatibility maintained 💡 **Real-World Query Examples:** Before: Scans ALL data, filters in memory SELECT * FROM events WHERE \_timestamp_ns > 1672531200000000000; After: Scans ONLY relevant time range at source level → StartTimeNs=1672531200000000000, StopTimeNs=0 → Massive performance improvement for large datasets! 🎯 **Production Ready Features:** - Multiple time column formats supported - Graceful fallbacks for invalid dates - OR clause safety (avoids incorrect optimization) - Comprehensive error handling **ALL MEDIUM PRIORITY TODOs NOW READY FOR NEXT PHASEtest ./weed/query/engine/ -v* 🎉 |
1 month ago |