This is the official implementation of the paper "Intergrating View Conditions for Image Synthesis", which is accepted by IJCAI 2024 at https://www.ijcai.org/proceedings/2024/0840
- Due to the long benchmark time that was nearly 35 hours if running continuous tests, we can not perform many times for each test to give the best result.
- Using 2 tools Sysbench and YCSB cannot tell the strength of both databases, but we can make some judgments about the 2 databases to apply them to the actual problems.
- According to the benchmark statistics above, we see that TiDB is capable of performing Read, Read-Update transactions like the select, select update, select delete very well, whereas YugabyteDB performs well in write transactions like insert, delete, update.
- For queries that do not use transactions, both TiDB and YugabyteDB have shown their abilities, but YugabyteDB is better than TiDB in throughput and latency P99.
Shameless plug: You might be interested in TiDB (https://github.com/pingcap/tidb), an open-source distributed HTAP database.
- For OLTP workload and some ad-hoc queries, you can use TiDB + TiKV. One of our adopters has a production cluster with 300+ TB data and can easily cope with the spike caused by the brought by COVID-19.
