streaming.dsl.load.batch.MLSQLConfExplain.scala Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
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package streaming.dsl.load.batch
import org.apache.spark.MLSQLConf
import org.apache.spark.sql.types.{StringType, StructField, StructType}
import org.apache.spark.sql.{DataFrame, Row, SparkSession}
import scala.collection.JavaConversions._
/**
* 2018-11-30 WilliamZhu([email protected])
*/
class MLSQLConfExplain(sparkSession: SparkSession) extends SelfExplain {
override def isMatch: Boolean = false
override def explain: DataFrame = {
val items = MLSQLConf.entries.map(f => Row.fromSeq(Seq(f._2.key, f._2.defaultValueString, f._2.doc))).toSeq
val rows = sparkSession.sparkContext.parallelize(items, 1)
sparkSession.createDataFrame(rows,
StructType(Seq(
StructField(name = "name", dataType = StringType),
StructField(name = "value", dataType = StringType),
StructField(name = "doc", dataType = StringType)
)))
}
}