com.datamountaineer.streamreactor.connect.converters.Transform.scala Maven / Gradle / Ivy
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/*
* Copyright 2017 Datamountaineer.
*
* 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 com.datamountaineer.streamreactor.connect.converters
import java.nio.ByteBuffer
import com.datamountaineer.streamreactor.connect.json.SimpleJsonConverter
import com.fasterxml.jackson.databind.JsonNode
import com.landoop.connect.sql.StructSql._
import com.landoop.json.sql.JsonSql._
import com.landoop.json.sql.JacksonJson
import com.landoop.sql.Field
import com.typesafe.scalalogging.StrictLogging
import org.apache.kafka.connect.data.{Schema, Struct}
import scala.util.{Failure, Success, Try}
object Transform extends StrictLogging {
lazy val simpleJsonConverter = new SimpleJsonConverter()
def apply(fields: Seq[Field],
ignoredFields: Seq[Field],
schema: Schema,
value: Any,
withStructure:Boolean): String = {
def raiseException(msg: String, t: Throwable) = throw new IllegalArgumentException(msg, t)
if (value == null) {
if (schema == null || !schema.isOptional) {
raiseException("Null value is not allowed.", null)
}
else null
} else {
if (schema != null) {
schema.`type`() match {
case Schema.Type.BYTES =>
//we expected to be json
val array = value match {
case a: Array[Byte] => a
case b: ByteBuffer => b.array()
case other => raiseException("Invalid payload:$other for schema Schema.BYTES.", null)
}
Try(JacksonJson.mapper.readTree(array)) match {
case Failure(e) => raiseException("Invalid json.", e)
case Success(json) =>
Try(json.sql(fields, !withStructure)) match {
case Failure(e) => raiseException(s"A KCQL exception occurred. ${e.getMessage}", e)
case Success(jn) => jn.toString
}
}
case Schema.Type.STRING =>
//we expected to be json
Try(JacksonJson.asJson(value.asInstanceOf[String])) match {
case Failure(e) => raiseException("Invalid json", e)
case Success(json) =>
Try(json.sql(fields, !withStructure)) match {
case Success(jn) => jn.toString
case Failure(e) => raiseException(s"A KCQL exception occurred.${e.getMessage}", e)
}
}
case Schema.Type.STRUCT =>
val struct = value.asInstanceOf[Struct]
Try(struct.sql(fields, !withStructure)) match {
case Success(s) => simpleJsonConverter.fromConnectData(s.schema(), s).toString
case Failure(e) => raiseException(s"A KCQL error occurred.${e.getMessage}", e)
}
case other => raiseException("Can't transform Schema type:$other.", null)
}
} else {
//we can handle java.util.Map (this is what JsonConverter can spit out)
value match {
case m: java.util.Map[_, _] =>
val map = m.asInstanceOf[java.util.Map[String, Any]]
val jsonNode: JsonNode = JacksonJson.mapper.valueToTree(map)
Try(jsonNode.sql(fields, !withStructure)) match {
case Success(j) => j.toString
case Failure(e) => raiseException(s"A KCQL exception occurred.${e.getMessage}", e)
}
case s: String =>
Try(JacksonJson.asJson(value.asInstanceOf[String])) match {
case Failure(e) => raiseException("Invalid json.", e)
case Success(json) =>
Try(json.sql(fields, !withStructure)) match {
case Success(jn) => jn.toString
case Failure(e) => raiseException(s"A KCQL exception occurred.${e.getMessage}", e)
}
}
case b: Array[Byte] =>
Try(JacksonJson.mapper.readTree(b)) match {
case Failure(e) => raiseException("Invalid json.", e)
case Success(json) =>
Try(json.sql(fields, !withStructure)) match {
case Failure(e) => raiseException(s"A KCQL exception occurred. ${e.getMessage}", e)
case Success(jn) => jn.toString
}
}
//we take it as String
case other => raiseException(s"Value:$other is not handled!", null)
}
}
}
}
}
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