spark.databricks.sql.excel.enabled false at cluster level

[der]

Native databricks excel data source is GA
https://www.reddit.com/r/databricks/comments/1t4un82/native_excel_support_is_now_ga/
https://docs.databricks.com/aws/en/query/formats/excel

However, as long as it is not possible to read from another adress than A1 without specify a full range .option("dataAddress", "Sheet1!E10"), we stick to open source solution. However, it is not possible to deactivate the native databricks excel source on cluster level ☹️

Compute → <YOUR CLUSTER> → Configuration → Advanced → Spark spark.databricks.sql.excel.enabled false

spark.conf.get("spark.databricks.sql.excel.enabled")

'true'

If you do the same on notebook level, it works.

spark.conf.set("spark.databricks.sql.excel.enabled", "false")
spark.conf.get("spark.databricks.sql.excel.enabled")

'false'

EXCEL_DATA_SOURCE_NOT_ENABLED Excel data source is not enabled in this cluster 

@mmayorga 

[der]

I missed to add the job error, if we add it on cluster spark configuration:

[MULTIPLE_EXCEL_DATA_SOURCE] Detected multiple Excel data sources with the name excel (dev.mauch.spark.excel.v2.ExcelDataSource, org.apache.spark.sql.execution.datasources.excel.ExcelFileFormat). Please specify the fully qualified class name or remove dev.mauch.spark.excel.v2.ExcelDataSource from the classpath. SQLSTATE: 42710

[nidhin]

Just wondering ,why do you need it cluster wide instead of notebook or session level? Any specific job requirement? Notebook level works!

[der]

Define it once on cluster VS define it in each notebook session. Get Consistency across all notebooks. And why should it not work on cluster level?