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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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giohappy
by • New Contributor III
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Resolved! SedonaSqlExtensions is not autoregistering types and functions

The usual way to use Apache Sedona inside pySpark is by first registering Sedona types and functions withSedonaRegistrator.registerAll(spark)We need to have these autoregistered when the cluster start (to be able, for example, to perform geospatial q...

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Anonymous
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Hi @Giovanni Allegri​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answ...

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juanc
by • New Contributor II
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Activate spark extensions on SQL Endpoints

It would be possible to activate a custom extensions like Sedona (https://sedona.apache.org/download/databricks/ ) in SQL Endopoints?Example error:java.lang.ClassNotFoundException: org.apache.spark.sql.sedona_sql.UDT.GeometryUDT at org.apache.spark....

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naveenanto
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@Retired_mod What is the right way to add custom spark extension to sql warehouse clusters?

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Bartek
by • Contributor
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Save Spark DataFrame to shape file (.shp format)

Hello,I know how to create .shp file from Geopandas dataframe using code similar to this, also mentioned on SO:gpd_df = geopandas.GeoDataFrame(pandas_df, geometry='geom') gpd_df .to_file("username/nh.shp")However I have .parquet files that I can load...

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Anonymous
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@Bartosz Maciejewski​ :Spark does not have native support for writing Shapefiles directly. However, you can use a third-party library such as GeoPandas or PyShp to write your Spark DataFrame to a Shapefile.Here's an example of how to use GeoPandas to...

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