MOD

With more than 1200 contributors, Apache Spark is one of the most actively developed open source projects. At this scale and pace of development, mistakes are bound to happen. In this paper we present SparkFuzz, a toolkit we developed at Databricks for ...

Compilation-based query engines generate and compile code at runtime, which is then run to get the query result. In this process there are two levels of source code involved: The code of the code generator itself and the code that is generated at ...

Distributed Systems Infrastructure (DSI) is MongoDB's framework for running fully automated system performance tests in our Continuous Integration (CI) environment. To run in CI it needs to automate everything end-to-end: provisioning and deploying ...

Significant effort was put into big data benchmarking with focus on end-to-end applications. While covering basic functionalities implicitly, the details of the individual contributions to the overall performance are hidden. As a result, end-to-end ...

Today's natural language processing and information retrieval systems heavily depend on word embedding techniques to represent text values. However, given a specific task deciding for a word embedding dataset is not trivial. Current word embedding ...

Query optimizer engine plays an important role in modern database systems. However, due to the complex nature of query optimizers, validating the correctness of a query execution engine is inherently challenging. In particular, the high cost of testing ...

OLTP DBMSs in enterprise scenarios are often facing the challenge to deal with workload peaks resulting from events such as Cyber Monday or Black Friday. The traditional solution to prevent running out of resources and thus coping with such workload ...