incubator | Testing ground for libraries and tools that might one day | Robotics library

You can rebuild Livy passing spark-3.0 profile in maven to create a custom build for spark 3, for example:

Use %%send_to_spark -i df_sending -t df -n df_sending -m 60000

-i : file I'm sending

-t : type I'm sending

-n : variable name assigned to the file

-m : max number of rows that I will send

use %%help spark cell magic

It is possible by manually calling the JnaUtils in the same way as the built-in mxnet engine does, just with your custom lib. For the my_gemm example, this looks like this:

This is something related to permission. I have checked values.yaml file.

There is one property

Anything after the main class is interpreted as arguments to your application. You need to rearrange the command to:

Run with option --add-modules jdk.incubator.foreign

Alternatively, create a module-info.java file, e.g. like this:

add incubator repo:

There are at least four different ways to interpret "per-minute". Along one binary dimension there's the distinction between using event time and processing time (one minute as measured by timestamps in the events, or one minute as measured by the CPU wall clock). And the other binary dimension has to do with whether the minutes are aligned to UTC, or to the first event.

The relevant lower-level mechanisms available to you in Flink are event time and processing time windows, and timers, which are part of process functions. For self-paced tutorials, examples, and exercises with solutions, see Learn Flink: Hands-on Training.

But with Flink, windowing is more readily done with SQL or the Table API. For example, a simple per-processing-time-minute event counter will be like this:

I don't have a lot of experience with Docker, but I don't think you should use 8088 as the host for your MySQL database.

Try using mysql://user:password@172.19.0.8:6603/database-name as the URI.