Time series has been found with various data quality issues, e.g., owing to sensor failure or network transmission errors in the Internet of Things (IoT). It is highly demanded to have an overview of the data quality issues on the millions of time series stored in a database. In this demo, we design and implement TsQuality, a system for measuring the data quality in Apache IoTDB. Four time series data quality measures, completeness, consistency, timeliness, and validity, are implemented as functions in Apache IoTDB or operators in Apache Spark. These data quality measures are also interpreted by navigating dirty points in different granularity. It is also well-integrated with the big data eco-system, connecting to Apache Zeppelin for SQL query, and Apache Superset for an overview of data quality.

Delta synchronization (sync) is crucial to the network-level efficiency of cloud storage services, especially when handling large files with small increments. Practical delta sync techniques are, however, only available for PC clients and mobile apps, but not web browsers—the most pervasive and OS-independent access method. To bridge this gap, prior work concentrates on either reversing the delta sync protocol or utilizing the native client, all striving around the tradeoffs among efficiency, applicability, and usability and thus forming an “impossible triangle.” Recently, we note the advent of WebAssembly (WASM) , a portable binary instruction format that is efficient in both encoding size and load time. In principle, the unique advantages of WASM can make web-based applications enjoy near-native runtime speed without significant cloud-side or client-side changes. Thus, we implement a straightforward WASM-based delta sync solution, WASMrsync, finding its quasi-asynchronous working manner and conventional In-situ Separate Memory Allocation greatly increase sync time and memory usage. To address them, we strategically devise sync-async code decoupling and streaming compilation, together with Informed In-place File Construction. The resulting solution, WASMrsync+, achieves comparable sync time as the state-of-the-art (most efficient) solution with nearly only half of memory usage, letting the “impossible triangle” reach a reconciliation.