org.apache.spark.sql.jdbc.DerbyDialect.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 org.apache.spark.sql.jdbc
import java.sql.Types
import org.apache.spark.sql.types._
private object DerbyDialect extends JdbcDialect {
override def canHandle(url: String): Boolean = url.startsWith("jdbc:derby")
override def getCatalystType(
sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): Option[DataType] = {
if (sqlType == Types.REAL) Option(FloatType) else None
}
override def getJDBCType(dt: DataType): Option[JdbcType] = dt match {
case StringType => Option(JdbcType("CLOB", java.sql.Types.CLOB))
case ByteType => Option(JdbcType("SMALLINT", java.sql.Types.SMALLINT))
case ShortType => Option(JdbcType("SMALLINT", java.sql.Types.SMALLINT))
case BooleanType => Option(JdbcType("BOOLEAN", java.sql.Types.BOOLEAN))
// 31 is the maximum precision and 5 is the default scale for a Derby DECIMAL
case t: DecimalType if t.precision > 31 =>
Option(JdbcType("DECIMAL(31,5)", java.sql.Types.DECIMAL))
case _ => None
}
override def isCascadingTruncateTable(): Option[Boolean] = Some(false)
}