Xiaoying Wang

Thank you @zkaoudi for the quick response! > In the meantime, can you confirm that the operations executed in postgres and in Spark with SparkSQL are the same when executed...

> Hi @wangxiaoying, > > before digging into the details and just to make sure we are comparing same installations, I was wondering whether you are using the same Spark...

> 1. The type of join that Spark SQL uses. Wayang's current join operator maps to the corresponding join in RDDs, which if I'm not mistaken is implemented as as...

> Thanks @wangxiaoying. I guess the broadcast join reduces the amount of data shuffled for this specific dataset/query. Could you disable the broadcast join in Spark to make sure if...

> To go around the potential performance issue of the Postgres To Spark channel conversion you could add the Java platform and see what you get. So sth like: ./wayang-1.0.0-SNAPSHOT/bin/wayang-submit...

Thanks @holicc for adding support for pgvector! I have release an alpha version: `pip install connectorx==0.4.4a1`, please feel free to try it out!

For building wheels for centos with lower version of glibc, please check this issue: #649

Hi @Niivii , thanks for the PR! (sorry for the late reply) > Or could this just be because I forgot to bump the toml for connectorx-python ? I just...

Hi @brian-pond , Thanks for opening the issue and the analyze it. However, I cannot reproduce your bug locally. Here is my test of having two mysql instances on both...

It seems related to [this issue of tiberius](https://github.com/prisma/tiberius/issues/220). What operating system are you using? Is it macos?