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/*
* Copyright (C) 2014 Stratio (http://stratio.com)
*
* 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.stratio.cassandra.lucene.util
import java.math.{BigDecimal, BigInteger}
import java.net.InetAddress
import java.nio.ByteBuffer
import java.util.{Date, UUID}
import com.stratio.cassandra.lucene.IndexException
import com.stratio.cassandra.lucene.column.Column
import com.stratio.cassandra.lucene.schema.Schema
import com.typesafe.scalalogging.Logger
import org.apache.cassandra.config.CFMetaData
import org.apache.cassandra.db.marshal._
import org.slf4j.LoggerFactory
import scala.annotation.tailrec
import scala.collection.JavaConverters._
/** Object for validating a [[Schema]] against a [[CFMetaData]].
*
* @author Andres de la Pena `[email protected]`
*/
object SchemaValidator {
protected val logger: Logger = Logger(LoggerFactory.getLogger(getClass.getName))
/** Validates the specified [[Schema]] against the specified [[CFMetaData]].
*
* @param schema a schema
* @param metadata a table metadata
*/
def validate(schema: Schema, metadata: CFMetaData): Unit = {
for (mapper <- schema.mappers.values.asScala; column <- mapper.mappedColumns.asScala) {
validate(metadata, column, mapper.field, mapper.supportedTypes.asScala.toList, mapper.excludedTypes.asScala.toList, mapper.supportsCollections)
}
}
def validate(
metadata: CFMetaData,
column: String,
field: String,
supportedTypes: List[Class[_]],
excludedTypes: List[Class[_]],
supportsCollections: Boolean) {
val cellName = Column.parseCellName(column)
val cellDefinition = metadata.getColumnDefinition(UTF8Type.instance.decompose(cellName))
if (cellDefinition == null) {
throw new IndexException("No column definition '{}' for mapper '{}'", cellName, field)
}
if (cellDefinition.isStatic) {
throw new IndexException("Lucene indexes are not allowed on static columns as '{}'", column)
}
def checkSupported(t: AbstractType[_], mapper: String, supportsCollections: Boolean) {
if (!supports(t, supportedTypes, excludedTypes, supportsCollections)) {
throw new IndexException(
"Type '{}' in column '{}' is not supported by mapper '{}'",
t,
mapper,
field)
}
}
val cellType = cellDefinition.`type`
cellType.isCollection
val udtNames = Column.parseUdtNames(column)
if (udtNames.isEmpty) {
checkSupported(cellType, cellName, supportsCollections)
} else {
var column = Column.apply(cellName)
var currentType = cellType
for (i <- udtNames.indices) {
column = column.withUDTName(udtNames(i))
childType(currentType, udtNames(i)) match {
case None => throw new IndexException(
s"No column definition '${column.mapper}' for field '$field'")
case Some(n) if i == udtNames.indices.last => checkSupported(n, column.mapper, supportsCollections)
case Some(n) => currentType = n
}
}
}
}
@tailrec
def childType(parent: AbstractType[_], child: String): Option[AbstractType[_]] = {
parent match {
case t: ReversedType[_] => childType(t.baseType, child)
case t: SetType[_] => childType(t.nameComparator, child)
case t: ListType[_] => childType(t.valueComparator, child)
case t: MapType[_, _] if child == Column.MAP_KEY_SUFFIX => Some(t.getKeysType)
case t: MapType[_, _] if child == Column.MAP_VALUE_SUFFIX => Some(t.valueComparator)
case t: MapType[_, _] => childType(t.valueComparator, child)
case t: UserType =>
(0 until t.fieldNames.size).find(t.fieldNameAsString(_) == child).map(t.fieldType)
case t: TupleType => (0 until t.size).find(_.toString == child).map(t.`type`)
case _ => None
}
}
@tailrec
def supports(
candidateType: AbstractType[_],
supportedTypes: Seq[Class[_]],
excludedTypes: List[Class[_]],
supportsCollections: Boolean): Boolean = candidateType match {
case t: ReversedType[_] => supports(t.baseType, supportedTypes, excludedTypes, supportsCollections)
case t: SetType[_] => if (supportsCollections) supports(t.getElementsType, supportedTypes, excludedTypes, supportsCollections) else false
case t: ListType[_] => if (supportsCollections) supports(t.getElementsType, supportedTypes, excludedTypes, supportsCollections) else false
case t: MapType[_, _] => if (supportsCollections) supports(t.getValuesType, supportedTypes, excludedTypes, supportsCollections) else false
case _ =>
val native = nativeType(candidateType)
if (excludedTypes.contains(native)) return false
supportedTypes.exists(_ isAssignableFrom native)
}
def nativeType(validator: AbstractType[_]): Class[_] = validator match {
case _: UTF8Type | _: AsciiType => classOf[String]
case _: SimpleDateType | _: TimestampType => classOf[Date]
case _: UUIDType | _: LexicalUUIDType | _: TimeUUIDType => classOf[UUID]
case _: ShortType => classOf[java.lang.Short]
case _: ByteType => classOf[java.lang.Byte]
case _: Int32Type => classOf[Integer]
case _: LongType => classOf[java.lang.Long]
case _: IntegerType => classOf[BigInteger]
case _: FloatType => classOf[java.lang.Float]
case _: DoubleType => classOf[java.lang.Double]
case _: DecimalType => classOf[BigDecimal]
case _: BooleanType => classOf[java.lang.Boolean]
case _: BytesType => classOf[ByteBuffer]
case _: InetAddressType => classOf[InetAddress]
case _ => throw new IndexException(s"Unsupported Cassandra data type: ${validator.getClass}")
}
}
