[SPARK-33102][SQL] Use stringToSeq on SQL list typed parameters

### What changes were proposed in this pull request?
While I've implemented JDBC provider disable functionality it has been popped up [here](apache#29964 (comment)) that `Utils.stringToSeq` must be used when String list type SQL parameter handled. In this PR I've fixed the problematic parameters.

### Why are the changes needed?
`Utils.stringToSeq` must be used when String list type SQL parameter handled.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Existing unit tests.

Closes apache#29989 from gaborgsomogyi/SPARK-33102.

Authored-by: Gabor Somogyi <[email protected]>
Signed-off-by: HyukjinKwon <[email protected]>

Author: gaborgsomogyi

Diff for: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala

@@ -32,7 +32,7 @@ import org.apache.spark.sql.execution.datasources.v2.{StreamingDataSourceV2Relat
 import org.apache.spark.sql.execution.streaming.sources.WriteToMicroBatchDataSource
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.streaming.{OutputMode, Trigger}
-import org.apache.spark.util.Clock
+import org.apache.spark.util.{Clock, Utils}
 
 class MicroBatchExecution(
     sparkSession: SparkSession,
@@ -76,7 +76,7 @@ class MicroBatchExecution(
     // transformation is responsible for replacing attributes with their final values.
 
     val disabledSources =
-      sparkSession.sqlContext.conf.disabledV2StreamingMicroBatchReaders.split(",")
+      Utils.stringToSeq(sparkSession.sqlContext.conf.disabledV2StreamingMicroBatchReaders)
 
     import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Implicits._
     val _logicalPlan = analyzedPlan.transform {

Diff for: sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala

@@ -36,6 +36,7 @@ import org.apache.spark.sql.execution.streaming._
 import org.apache.spark.sql.execution.streaming.sources._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
+import org.apache.spark.util.Utils
 
 /**
  * Interface used to write a streaming `Dataset` to external storage systems (e.g. file systems,
@@ -366,7 +367,8 @@ final class DataStreamWriter[T] private[sql](ds: Dataset[T]) {
       startQuery(sink, extraOptions)
     } else {
       val cls = DataSource.lookupDataSource(source, df.sparkSession.sessionState.conf)
-      val disabledSources = df.sparkSession.sqlContext.conf.disabledV2StreamingWriters.split(",")
+      val disabledSources =
+        Utils.stringToSeq(df.sparkSession.sqlContext.conf.disabledV2StreamingWriters)
       val useV1Source = disabledSources.contains(cls.getCanonicalName) ||
         // file source v2 does not support streaming yet.
         classOf[FileDataSourceV2].isAssignableFrom(cls)