10-09-2021 05:35 PM
Hi all,
I currently have a cluster configured in databricks with spark-xml (version com.databricks:spark-xml_2.12:0.13.0) which was installed using Maven. The spark-xml library itself works fine with Pyspark when I am using it in a notebook within the databricks web-app.
I often use databricks connect with Pyspark for development though. More specifically, using VS Code. Again, databricks connect works fine when I am performing commands on the cluster such as spark.read.csv.
However, when I try and run my spark-xml code from within VS code, i receive the following error:
java.lang.ClassNotFoundException: Failed to find data source: xml. Please find packages at http://spark.apache.org/third-party-projects.html
I have tried using both read formats below with no luck. I have also tried placing the spark-xml jar file that matches the version in databricks within my Pyspark jars but again it did not work.
df = spark.read.format('xml')
df = spark.read.format('com.databricks.spark.xml')
Any ideas how I can get my local databricks connect venv to recognise the xml data source would be much appreciated!
Thanks!
10-10-2021 12:13 AM
Hi @ brendan-b username! My name is Kaniz, and I'm the technical moderator here. Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question first. Or else I will get back to you soon. Thanks.
10-10-2021 09:26 AM
Are you adding spark-xml as a dependency 'locally'? you're doing it right, and the name of the data source doesn't matter. Both are correct. You do not need to install JARs manually.
10-10-2021 02:55 PM
@Sean Owen I do not believe I have. Do you have any documentation on how to install spark-xml locally? I have tried the following with no luck. IS this what you are referring to?
PYSPARK_HOME/bin/pyspark --packages com.databricks:spark-xml_2.12:0.13.0
05-18-2022 02:06 PM
Hi @Brendan Banfield , This article describes how to read and write an XML file as an Apache Spark™ data source.
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