Unfortunately, the tradeoff is not so simple, and deterministic database systems have both additional advantages and disadvantages not mentioned above. Consequently, the above cited proposals for deterministic database systems argue that the advantages of deterministic database systems now outweigh the disadvantages. However, as more and more database systems are becoming in-memory (most of the working data set can be kept in memory), and user stalls are becoming increasingly rare in modern applications, the reduced executional flexibility of deterministic database systems is becoming less of a burden.
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This effectively reduces concurrency, which can lead to lower transactional throughput and longer latencies. When a thread that is processing a transaction stalls (e.g., due to a need to wait until a page on disk is brought into the buffer pool, or a need to wait for the next command from a user), a deterministic database system has less choice about what other transactions it can run in order to do useful work during the stall. The main disadvantage of deterministic transaction execution that is most commonly cited is the reduced processing flexibility that results from the stronger guarantees that deterministic systems need to make. Historically, the main advantages that these proposals for deterministic database systems attempt to achieve are related to replication and high availability in deterministic systems, no communication whatsoever is required between replicas to keep them consistent (they are guaranteed not to diverge if they receive the same input). Contact copyright holder by ing Articles from this volume were invited to present their results at the 4th International Conference on Very Large Data Bases, September 1st - 5th 214, Hangzhou, China.
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To view a copy of this license, visit Obtain permission prior to any use beyond those covered by the license. This work is licensed under the Creative Commons Attribution- NonCommercial-NoDerivs 3. This is a much stronger guarantee than traditional database ACID guarantees, which guarantee only that the database system will process transactions in a manner that is equivalent to some serial order (but different instances of the database system can process the same set of input transactions in a way that is equivalent to two different serial orders). Deterministic execution requires that the database processes transactions in a way that guarantees that if the database system is given the same transactional input, it will always end in the same final state. INTRODUCTION There have been several recent proposals for database system architectures that use a deterministic execution framework to process transactions. This paper presents a thorough experimental study that carefully investigates both the advantages and disadvantages of determinism, in order to give a database user a more complete understanding of which database to use for a given database workload and cluster configuration. However, these performance benefits are not universally applicable, and there exist several disadvantages of determinism, including (1) the additional overhead of processing transactions for which it is not known in advance what data will be accessed, (2) an inability to abort transactions arbitrarily (e.g., in the case of database or partition overload), and (3) the increased latency required by a preprocessing layer that ensures that the same input is sent to every replica. In addition, they argue that determinism yields performance benefits due to (1) the introduction of deadlock avoidance techniques, (2) the reduction (or elimination) of distributed commit protocols, and (3) light-weight locking. Abadi Yale University ABSTRACT Recent proposals for deterministic database system designs argue that deterministic database systems facilitate replication since the same input can be independently sent to two different replicas without concern for replica divergence. 1 An Evaluation of the Advantages and Disadvantages of Deterministic Database Systems Kun Ren Alexander Thomson Northwestern Polytechnical Google University, China renkun Daniel J.