streaming.dsl.RegisterAdaptor.scala Maven / Gradle / Ivy
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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.
*/
package streaming.dsl
import java.util.UUID
import streaming.dsl.parser.DSLSQLParser._
import streaming.dsl.template.TemplateMerge
/**
* Created by allwefantasy on 12/1/2018.
*/
class RegisterAdaptor(scriptSQLExecListener: ScriptSQLExecListener) extends DslAdaptor {
def evaluate(value: String) = {
TemplateMerge.merge(value, scriptSQLExecListener.env().toMap)
}
override def parse(ctx: SqlContext): Unit = {
var functionName = ""
var format = ""
var path = ""
var option = Map[String, String]()
val resourceOwner = option.get("owner")
(0 to ctx.getChildCount() - 1).foreach { tokenIndex =>
ctx.getChild(tokenIndex) match {
case s: FunctionNameContext =>
functionName = s.getText
case s: FormatContext =>
format = s.getText
case s: PathContext =>
path = TemplateMerge.merge(cleanStr(s.getText), scriptSQLExecListener.env().toMap)
case s: ExpressionContext =>
option += (cleanStr(s.qualifiedName().getText) -> evaluate(getStrOrBlockStr(s)))
case s: BooleanExpressionContext =>
option += (cleanStr(s.expression().qualifiedName().getText) -> evaluate(getStrOrBlockStr(s.expression())))
case _ =>
}
}
val alg = MLMapping.findAlg(format)
if (!alg.skipPathPrefix) {
path = resourceRealPath(scriptSQLExecListener, resourceOwner, path)
}
val sparkSession = scriptSQLExecListener.sparkSession
val model = alg.load(sparkSession, path, option)
val udf = alg.predict(sparkSession, model, functionName, option)
if (udf != null) {
scriptSQLExecListener.sparkSession.udf.register(functionName, udf)
}
val newdf = alg.explainModel(sparkSession, path, option)
val tempTable = UUID.randomUUID().toString.replace("-", "")
newdf.createOrReplaceTempView(tempTable)
scriptSQLExecListener.setLastSelectTable(tempTable)
}
}