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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
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package org.apache.griffin.measure.step.transform
import org.apache.griffin.measure.context.DQContext
import org.apache.griffin.measure.step.write.WriteStep
/**
* data frame ops transform step
*/
case class DataFrameOpsTransformStep[T <: WriteStep](
name: String,
inputDfName: String,
rule: String,
details: Map[String, Any],
writeStepOpt: Option[T] = None,
cache: Boolean = false)
extends TransformStep {
def doExecute(context: DQContext): Boolean = {
val sparkSession = context.sparkSession
try {
val df = rule match {
case DataFrameOps._fromJson => DataFrameOps.fromJson(sparkSession, inputDfName, details)
case DataFrameOps._accuracy =>
DataFrameOps.accuracy(sparkSession, inputDfName, context.contextId, details)
case DataFrameOps._clear => DataFrameOps.clear(sparkSession, inputDfName, details)
case _ => throw new Exception(s"df opr [ $rule ] not supported")
}
if (cache) context.dataFrameCache.cacheDataFrame(name, df)
context.runTimeTableRegister.registerTable(name, df)
writeStepOpt match {
case Some(writeStep) => writeStep.execute(context)
case None => true
}
} catch {
case e: Throwable =>
error(s"run data frame ops [ $rule ] error: ${e.getMessage}", e)
false
}
}
}