Terry Kim created SPARK-32439:
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Summary: Override datasource implementation during look up via
configuration
Key: SPARK-32439
URL: https://issues.apache.org/jira/browse/SPARK-32439
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 3.1.0
Reporter: Terry Kim
We need a mechanism to override the datasource implementation via configuration.
For example, suppose I have a custom CSV datasource implementation called
"my_csv". One way to use it is:
val df = spark.read.format("my_csv").load(...)
Since the source data is the same format (CSV), you should be able to override
the default implementation.
One proposal is to do the following:
spark.conf.set("spark.sql.datasource.override.csv", "my_csv") val df =
spark.read.csv(...)
This has a benefit that the user doesn't have to change the application code to
try out a new datasource implementation for the same source format.
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