Hello All,
I have a Structured Streaming pyspark program running on GCP Dataproc,
which reads data from Kafka, and does some data massaging, and aggregation.
I'm trying to use withWatermark(), and it is giving error.
py4j.Py4JException: An exception was raised by the Python Proxy. Return
I think these are readily answerable if you look at the text of the CVEs
and Spark 3.0.3 release.
https://nvd.nist.gov/vuln/detail/CVE-2019-17531 concerns Jackson Databind
up to 2.9.10, but you can see that 3.0.3 uses 2.10.0
https://nvd.nist.gov/vuln/detail/CVE-2020-9480 affects Spark 2.x, not
Hi Sean,
I am looking for fixing the vulnerabilities such as these in the 3.0.X branch.
1)
CVE-2019-17531
2)CVE-2020-9480
3)CVE-2019-0204
Rajesh Krishnamurthy | Enterprise Architect
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