Databend aimed to be an open source elastic and reliable cloud warehouse, it offers blazing fast query and combines elasticity, simplicity, low cost of the cloud, built to make the Data Cloud easy.
Below is a list of some major changes that we don't want you to miss.
- databend-query: external source with new processor: make external source(like S3) as table engine. by @BohuTANG, (#4277)
- functions: support
toYearby @clark1013, (#4329)
- databend-query: add more metrics into query_log table: io metrics of dal level. by @sundy-li, (#4365)
- databend-meta: refactor role identity: remove host for role identity. by @Junnplus, (#4370)
- databend-query: refactor the comparison function by using
ScalarBinaryExpressionby @zhyass, (#4285)
- databend-query: add CALL command: impl CALL syntax parser, add Trait for system function. by @Junnplus, (#4315)
- datablocks&datavalues: support nullable group by: improved by 60% on the second query with metacache. by @sundy-li, (#4340)
- datablocks: use `SmallVec`` to improve HashMethod Serialize: improved by 30%~50% in ontime dataset. by @sundy-li, (#4353)
- datavalues: Simd Selection of column filter: improved by ~25%. by @platoneko, (#4271)
- databend-query: fix broken tracing spans by @dantengsky, (#4356)
- mysql servers: make async executor running inside the right runtime by @sundy-li, (#4334)
- mysql servers: fix hangs on authenticate by @flaneur2020, (#4317)
Let's learn a weekly tip from Databend.
RFC: Semi-structured Data Types
Semi-structured data types are used to represent schemaless data formats, such as JSON, XML, and so on. In order to be compatible with Snowflake's SQL syntax, we plan to support the following three semi-structured data types:
Variant: A tagged universal type, which can store values of any other type, including
Object: Used to represent collections of key-value pairs, where the key is a non-empty string, and the value is a value of
Array: Used to represent dense or sparse arrays of arbitrary size, where the index is a non-negative integer (up to 2^31-1), and values are
You can check the changelogs of Databend nightly to learn about our latest developments.
Please join the DatafuseLabs Community if you are interested in Databend.
We are looking forward to seeing you try our code. We have a strong team behind you to ensure a smooth experience in trying our code for your projects. If you are a hacker passionate about database internals, feel free to play with our code.
You can submit issues for any problems you find. We also highly appreciate any of your pull requests.