amaliujia commented on PR #40498:
URL: https://github.com/apache/spark/pull/40498#issuecomment-1478220179
@hvanhovell existing codebase uses this to verify the options:
```
test("SPARK-32844: DataFrameReader.table take the specified options for V1
relation") {
withSQLConf(SQLConf.USE_V1_SOURCE_LIST.key -> "parquet") {
withTable("t") {
sql("CREATE TABLE t(i int, d double) USING parquet OPTIONS
('p1'='v1', 'p2'='v2')")
val df = spark.read.option("P2", "v2").option("p3", "v3").table("t")
val options = df.queryExecution.analyzed.collectFirst {
case r: LogicalRelation =>
r.relation.asInstanceOf[HadoopFsRelation].options
}.get
assert(options("p2") == "v2")
assert(options("p3") == "v3")
}
}
}
```
However this won't work for Spark Connect. Do you know if we have another
way to achieve it?
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