Comments (3)
When it was in my private repository, I uploaded the package with the package name org.apache.spark.*
as described here.
And the problem is, any release has not been published and not uploaded yet for this repository since this repository moved to here Databricks. Namely, for now, you cannot use by --packages
but have to manually build for this repository.
To cut it short, for the package in my private repository, If you set the package name as described here, that should import properly.
For the package in this repository, you might have to build manually as described here
I will publish a release as soon as the pull requests I made are merged.
I apologise that I made such a confusion. I think I should change the README.md
at my private repository.
from spark-xml.
Would you like to try this one please?
$SPARK_HOME/bin/spark-shell --packages com.databricks:spark-xml_2.11:0.2.0
Please note that rootTag
has been changed to rowTag
.
from spark-xml.
Thanks! This works well for me!
from spark-xml.
Related Issues (20)
- Reading file with ContentType application/octet-stream HOT 3
- Extract multiple tables from the same XML file HOT 1
- Convert xml to dataframe based on pyspark - using rowValidationXSDPath HOT 4
- ignoreSurroundingSpaces not working - Pyspark HOT 8
- Incorrect inferring schema if ignoreNamespace is true and namespace = tag HOT 4
- Splitting XML into single-column rows HOT 9
- parse XML without the default AttributePrefix "_" in PySpark HOT 2
- XSDToSchema fails on choice of sequence HOT 2
- Remove New Line coming in between records during spark write dataframe to XML HOT 5
- NumPartitions == num files. Can I choose partitions manually? HOT 1
- Wrapping elements of nested array HOT 1
- Caused by: java.io.InvalidClassException: com.databricks.spark.xml.XmlOptions; local class incompatible HOT 2
- Getting Multi Generator issue while flattening the XML file HOT 1
- Empty line between tags when writing xml HOT 1
- Found duplicates, but no duplicates into files HOT 2
- The problem with the case of words for identical names HOT 3
- Error using from_xml with StructType for schema HOT 2
- <xs:choice maxOccurs="unbounded"> does not produce array type HOT 3
- Problem use Scala functions in python. Scala error on Spark 3.3.2. Scala Version 2.13.8. HOT 1
- I create a spark datasource table, but failed
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from spark-xml.