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As real-time analysis of the new data become increasingly compelling, moreorganizations deploy Hybrid Transactional/Analytical Processing (HTAP) systemsto support real-time queries on data recently generated by online transactionprocessing. This paper argues that real-time queries, semantically consistentschema, and domain-specific workloads are essential in benchmarking, designing,and implementing HTAP systems. However, most state-of-the-art andstate-of-the-practice benchmarks ignore those critical factors. Hence, they areincommensurable and, at worst, misleading in benchmarking, designing, andimplementing HTAP systems. This paper presents OLxPBench, a composite HTAPbenchmark suite. OLxPBench proposes: (1) the abstraction of a hybridtransaction, performing a real-time query in-between an online transaction, tomodel widely-observed behavior pattern -- making a quick decision whileconsulting real-time analysis; (2) a semantically consistent schema to expressthe relationships between OLTP and OLAP schema; (3) the combination ofdomain-specific and general benchmarks to characterize diverse applicationscenarios with varying resource demands. Our evaluations justify the threedesign decisions of OLxPBench and pinpoint the bottlenecks of two mainstreamdistributed HTAP DBMSs. International Open Benchmark Council (BenchCouncil)sets up the OLxPBench homepage at https://www.benchcouncil.org/olxpbench/. Itssource code is available from https://github.com/BenchCouncil/olxpbench.git.

OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems