A community user at Zhihu.com (the Quora of China) shared a detailed TiDB case study:
Zhihu is the Quora of China with 220 million registered users, and it has 30 million questions with more than 130 million answers. With approximately 100 billion rows of data accruing each month and growing, this number will reach 3 trillion in two years. They can foresee great challenges in scaling their backend system while maintaining good user experience. With TiDB, they managed to harness the power of data and ensure good user experience because they get 99th percentile response time over these 1.3 trillion rows of data was about 25 ms, and the 999th percentile response time was about 50 ms.
The case study shows why they chose TiDB, how they are using it, what they learned and best practice, and some thoughts about the future with TiDB.
Full story is here:
Last week, we landed 55 PRs in the TiDB repository.
TiKV and PD:
Last week, we landed 29 PRs in the TiKV and PD repositories.
modify columnoperation on the
index_lookup_merge_joinin the physical plan
maxUint64as its transaction timestamp
TiKV and PD:
approximate keysfunction when the result is
config-checkflag for tikv-server
config-checkflag for pd-server