9 citations · 9 across the 4 of their papers we have counts for
6 papers
Bespoke-Card: Why Tune When You Can Generate? Synthesizing Workload-Specific Cardinality Estimators
Johannes Wehrstein, Anton Winter, Timo Eckmann +1
Cardinality estimators are built to support arbitrary schemas and workloads, forcing them to rely on generic statistics even when the schema and workload is known in advance, leavi…
Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines
Johannes Wehrstein, Timo Eckmann, Matthias Jasny +1
Modern OLAP engines are designed to support arbitrary analytical workloads, but this generality incurs structural overhead, including runtime schema interpretation, indirection lay…
Redbench: Workload Synthesis From Cloud Traces
Johannes Wehrstein, Roman Heinrich, Mihail Stoian +5
Workload traces from cloud data warehouse providers reveal that standard benchmarks such as TPC-H and TPC-DS fail to capture key characteristics of real-world workloads, including…
JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization
Johannes Wehrstein, Timo Eckmann, Roman Heinrich +1
Query optimization is a fundamental task in database systems that is crucial to providing high performance. To evaluate learned and traditional optimizer's performance, several ben…
GRACEFUL: A Learned Cost Estimator For UDFs
Johannes Wehrstein, Tiemo Bang, Roman Heinrich +1
User-Defined-Functions (UDFs) are a pivotal feature in modern DBMS, enabling the extension of native DBMS functionality with custom logic. However, the integration of UDFs into que…
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks
Roman Heinrich, Manisha Luthra, Johannes Wehrstein +2
Traditionally, query optimizers rely on cost models to choose the best execution plan from several candidates, making precise cost estimates critical for efficient query execution.…