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Hi,Some of our schema loads will occasionally fail due to memory errors. On this I would like to pass on some feedback as well as seek some advice.The feedback is that depending on how it falls over it might end up breaking all practical data access ...
I am trying to fit a simple linear regression with pyspark.ml in a materialized viewThe packages I am using are as follows: from pyspark.ml.feature import VectorAssembler
from pyspark.ml.regression import LinearRegression my code looks like this: #...
Cloud documentation for data agent says to use OpenJDK11 ( snip below ) but the linked page doesn't have an OpenJDK11. Numerically it looks like JDK19 is the most recent GA release ( there's no "Open" on the link ) -- is that good for the data ag...
Is there any way to get the Spark execution plan in an MV when selecting Spark SQL? I know I can take the below approach, but I prefer to do this in Spark SQL and not have to rebuild the Spark SQL queries. %pysparkdf = read("EBS_PARTY_COMMON.HZ_PARTI...
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