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I have a column that contains an array of structs as follows:"column" : [
{ "struct_field1": "struct_value", "struct_field2": "struct_value" },
{ "struct_field1": "struct_value", "struct_field2": "struct_value" }
]I want to apply a udf to each f...
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Hi @Richard Belihomji​, It looks like you are trying to apply a UDF to each field of the structs in an array column in a Spark DataFrame. However, it seems you are encountering an issue with the UDF not receiving the context.To nest a UDF inside a tr...
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Flattening Nested XML - Multiple ways
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Thanks for this and educating the community members about it.
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Phani1
• Valued Contributor
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Hi Team,How efficiently can orchestrate data bricks jobs which involve a lot of transformations, dependencies, and complexity?At source have a lot of SSIS packages that have complex dependencies and more transformation. We have the following opti...
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My question is, how do we reliably orchestrate multiple Databricks Jobs/Workflows that are running in a mixed latency and can write to the same silver and gold delta tables? Could you please suggest the best approach and practices for the same?
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