org.apache.spark.sql.DeltaSharingScanUtils.scala Maven / Gradle / Ivy
/*
* Copyright (2021) The Delta Lake Project Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.Expression
import org.apache.spark.sql.execution.datasources.LogicalRelation
import org.apache.spark.sql.types.StructType
object DeltaSharingScanUtils {
// A wrapper to expose Dataset.ofRows function.
// This is needed because Dataset object is in private[sql] scope.
def ofRows(spark: SparkSession, plan: LogicalRelation): DataFrame = {
Dataset.ofRows(spark, plan)
}
// A wrapper to expose sqlContext.internalCreateDataFrame
def internalCreateDataFrame(spark: SparkSession, schema: StructType): DataFrame = {
spark.sqlContext.internalCreateDataFrame(
spark.sparkContext.emptyRDD[InternalRow], schema, isStreaming = true)
}
// A wrapper to expose Column.apply(expr: Expression) function.
// This is needed because the Column object is in private[sql] scope.
def toColumn(expr: Expression): Column = {
Column(expr)
}
}