So I think this sounds like a bug to me, in the help options for both
regular spark-submit and ./sbin/start-connect-server.sh we say:
" --packages Comma-separated list of maven coordinates of
jars to include
on the driver and executor classpaths.
Hi,
I heard some big things about Machine learning and data science.
To upgrade my skill set I took a udemy course Python and Spark for Big Data
with Spark.
It took about week to learn the concepts and the workflow to follow when using
each of the
Spark APIs.
To complete a Machine Learning
Apologies to everyone. I sent this to the wrong email list. Please discard
On Mon, 04 Dec 2023 10:48:11 -0500 Yeikel Santana wrote
---
Hello everyone,
Is there any mechanism to force Kafka Connect to ingest at a given rate per
second as opposed to tasks?
I am operating in a
Hello everyone,
Is there any mechanism to force Kafka Connect to ingest at a given rate per
second as opposed to tasks?
I am operating in a shared environment where the ingestion rate needs to be as
low as possible (for example, 5 requests/second as an upper limit), and as far
as I can
The issue you're encountering with the iceberg-spark-runtime dependency not
being properly passed to the executors in your Spark Connect server
deployment could be due to a couple of factors:
1.
*Spark Submit Packaging:* When you use the --packages parameter in
spark-submit, it only
Hi, Spark community,
I encountered a weird bug when using Spark Connect server to integrate with
Iceberg. I added the iceberg-spark-runtime dependency with `--packages`
param, the driver/connect-server pod did get the correct dependencies. But
when looking at the executor's library, the jar was
Hi Michail,
observations as well as ordinary accumulators only observe / process
rows that are iterated / consumed by downstream stages. If the query
plan decides to skip one side of the join, that one will be removed from
the final plan completely. Then, the Observation will not retrieve any
