René's URL Explorer Experiment


Title: GitHub - DataManagementLab/lcm-eval: This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"

Open Graph Title: GitHub - DataManagementLab/lcm-eval: This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"

X Title: GitHub - DataManagementLab/lcm-eval: This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"

Description: This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks" - DataManagementLab/lcm-eval

Open Graph Description: This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks" - DataManagementLab/lcm-eval

X Description: This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks" - DataManagementLab/lcm-eval

Opengraph URL: https://github.com/DataManagementLab/lcm-eval

X: @github

direct link

Domain: github.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:62194c8d-35a9-63b1-6217-6f85868a86d8
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idBC2A:16D65A:FDD31:14AEE0:698D32EA
html-safe-noncea970e631b053aa053703b17056f50a077e72a7d30f5e3b5dea798e1d526f969b
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visitor-hmaca15125c42cdf1e9763a4e2bac15c1a123b4ac2f0b571c640f36784473bbf794e
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github-keyboard-shortcutsrepository,copilot
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analytics-location//
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og:image:altThis is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks" - DataManagementLab/lcm-eval
og:image:width1200
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srchttps://github.com/DataManagementLab/lcm-eval/tree/main/src
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README.mdhttps://github.com/DataManagementLab/lcm-eval/blob/main/README.md
README.mdhttps://github.com/DataManagementLab/lcm-eval/blob/main/README.md
READMEhttps://github.com/DataManagementLab/lcm-eval
Apache-2.0 licensehttps://github.com/DataManagementLab/lcm-eval
https://github.com/DataManagementLab/lcm-eval#how-good-are-learned-cost-models-really-insights-from-query-optimization-tasks
How Good Are Learned Cost Models, Really? Insights from Query Optimization Taskshttps://dl.acm.org/doi/10.1145/3725309
https://github.com/DataManagementLab/lcm-eval#table-of-contents
Overviewhttps://github.com/DataManagementLab/lcm-eval#1-overview
Overall Workflowhttps://github.com/DataManagementLab/lcm-eval#11-overall-workflow
Local and Remote Operationshttps://github.com/DataManagementLab/lcm-eval#12-local-and-remote-operations
Hardware Instanceshttps://github.com/DataManagementLab/lcm-eval#13-hardware-instances
Prerequisiteshttps://github.com/DataManagementLab/lcm-eval#2-prerequisites
Python environmenthttps://github.com/DataManagementLab/lcm-eval#21-python-environment
Check environment variableshttps://github.com/DataManagementLab/lcm-eval#22-check-environment-variables
Download precollected artifactshttps://github.com/DataManagementLab/lcm-eval#23-download-precollected-artifacts
Query Executionhttps://github.com/DataManagementLab/lcm-eval#3query-execution
Downloading query workloadshttps://github.com/DataManagementLab/lcm-eval#31-downloading-query-workloads
Workload Generationhttps://github.com/DataManagementLab/lcm-eval#32-workload-generation
Query Execution on Cloudlab Machineshttps://github.com/DataManagementLab/lcm-eval#33-query-execution-on-cloudlab-machines
Data Preprocessinghttps://github.com/DataManagementLab/lcm-eval#4-data-preprocessing
Parse Query Planshttps://github.com/DataManagementLab/lcm-eval#41-parse-query-plans
Augment Query Plans with Sample Bitmapshttps://github.com/DataManagementLab/lcm-eval#42-augment-query-plans-with-sample-bitmaps
Gather Feature Statisticshttps://github.com/DataManagementLab/lcm-eval#43-gather-feature-statistics
Model Traininghttps://github.com/DataManagementLab/lcm-eval#5-model-training
Local Traininghttps://github.com/DataManagementLab/lcm-eval#51-local-training
Remote Traininghttps://github.com/DataManagementLab/lcm-eval#52-remote-training
Model Evaluationhttps://github.com/DataManagementLab/lcm-eval#6-model-evaluation
Local Inferencehttps://github.com/DataManagementLab/lcm-eval#61-local-inference
Remote Inferencehttps://github.com/DataManagementLab/lcm-eval#62-remote-inference
Reproducing Results of the Paperhttps://github.com/DataManagementLab/lcm-eval#7-reproducing-results-of-the-paper
Inference of Query Optimization Workloadshttps://github.com/DataManagementLab/lcm-eval#71-inference-of-query-optimization-workloads
Downloading Pre-collected Model Evaluationshttps://github.com/DataManagementLab/lcm-eval#72-downloading-pre-collected-model-evaluations
Generate Paper Plotshttps://github.com/DataManagementLab/lcm-eval#73-generate-paper-plots
Source Code Originshttps://github.com/DataManagementLab/lcm-eval#8-source-code-origins
https://github.com/DataManagementLab/lcm-eval#1-overview
https://github.com/DataManagementLab/lcm-eval#11-overall-workflow
Cloudlabhttps://www.cloudlab.us/
Experimental Setuphttps://github.com/DataManagementLab/lcm-eval#3-experimental-setup
OSFhttps://osf.io/rb5tn/
Local Training & Evaluation Pipelinehttps://github.com/DataManagementLab/lcm-eval#4-local-training--evaluation-pipeline
Remote Training & Evaluation Pipelinehttps://github.com/DataManagementLab/lcm-eval#5-remote-training--evaluation-pipeline
Remote Training & Evaluation Pipelinehttps://github.com/DataManagementLab/lcm-eval#5-remote-training--evaluation-pipeline
https://github.com/DataManagementLab/lcm-eval#12-local-and-remote-operations
https://github.com/DataManagementLab/lcm-eval#13-hardware-instances
c8220https://www.clemson.cloudlab.us/portal/show-nodetype.php?type=c8220&_gl=1*1goap78*_ga*MTIyNzE5ODc0My4xNzIxOTIwMTMw*_ga_6W2Y02FJX6*MTcyMzE4MzIwNi42LjEuMTcyMzE4MzIyMy4wLjAuMA..
Weights & Biaseshttps://wandb.ai/site
https://github.com/DataManagementLab/lcm-eval#2-prerequisites
https://github.com/DataManagementLab/lcm-eval#21-python-environment
https://github.com/DataManagementLab/lcm-eval#22-check-environment-variables
https://github.com/DataManagementLab/lcm-eval#23-download-precollected-artifacts
https://github.com/DataManagementLab/lcm-eval#3query-execution
https://github.com/DataManagementLab/lcm-eval#31-downloading-query-workloads
https://github.com/DataManagementLab/lcm-eval#31-workload-generation
https://github.com/DataManagementLab/lcm-eval#32-query-execution-on-cloudlab-machines
https://github.com/DataManagementLab/lcm-eval#4-data-preprocessing
https://github.com/DataManagementLab/lcm-eval#41-parse-query-plans
https://github.com/DataManagementLab/lcm-eval#42-augment-query-plans-with-sample-bitmaps
https://github.com/DataManagementLab/lcm-eval#43-gather-feature-statistics
https://github.com/DataManagementLab/lcm-eval#5-model-training
https://github.com/DataManagementLab/lcm-eval#51-local-training
https://github.com/DataManagementLab/lcm-eval#52-remote-training
https://github.com/DataManagementLab/lcm-eval#6-model-evaluation
https://github.com/DataManagementLab/lcm-eval#61-local-inference
https://github.com/DataManagementLab/lcm-eval#62-remote-inference
https://github.com/DataManagementLab/lcm-eval#7-reproducing-results-of-the-paper
https://github.com/DataManagementLab/lcm-eval#71-inference-of-query-optimization-workloads
https://github.com/DataManagementLab/lcm-eval#72-downloading-pre-collected-model-evaluations
https://github.com/DataManagementLab/lcm-eval#73-generate-paper-plots
https://github.com/DataManagementLab/lcm-eval#8-source-code-origins
https://ieeexplore.ieee.org/document/4812438https://ieeexplore.ieee.org/document/4812438
https://www.cidrdb.org/cidr2019/papers/p101-kipf-cidr19.pdfhttps://www.cidrdb.org/cidr2019/papers/p101-kipf-cidr19.pdf
https://github.com/andreaskipf/learnedcardinalitieshttps://github.com/andreaskipf/learnedcardinalities
https://dl.acm.org/doi/abs/10.14778/3342263.3342646https://dl.acm.org/doi/abs/10.14778/3342263.3342646
https://github.com/rabbit721/QPPNethttps://github.com/rabbit721/QPPNet
https://dl.acm.org/doi/abs/10.14778/3368289.3368296https://dl.acm.org/doi/abs/10.14778/3368289.3368296
https://github.com/greatji/Learning-based-cost-estimatorhttps://github.com/greatji/Learning-based-cost-estimator
https://www.vldb.org/pvldb/vol15/p1658-zhao.pdfhttps://www.vldb.org/pvldb/vol15/p1658-zhao.pdf
https://github.com/zhaoyue-ntu/QueryFormerhttps://github.com/zhaoyue-ntu/QueryFormer
https://www.vldb.org/pvldb/vol15/p2361-hilprecht.pdfhttps://www.vldb.org/pvldb/vol15/p2361-hilprecht.pdf
https://github.com/DataManagementLab/zero-shot-cost-estimationhttps://github.com/DataManagementLab/zero-shot-cost-estimation
https://ieeexplore.ieee.org/document/10598079https://ieeexplore.ieee.org/document/10598079
https://github.com/liang-zibo/DACEhttps://github.com/liang-zibo/DACE
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