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/*
* Copyright 2015 TouchType Ltd
*
* 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.databricks.spark.redshift
import com.amazonaws.auth.AWSCredentials
import com.amazonaws.services.s3.AmazonS3Client
import org.apache.spark.sql.sources.{BaseRelation, CreatableRelationProvider, RelationProvider, SchemaRelationProvider}
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode}
import org.slf4j.LoggerFactory
/**
* Redshift Source implementation for Spark SQL
*/
class DefaultSource(jdbcWrapper: JDBCWrapper, s3ClientFactory: AWSCredentials => AmazonS3Client)
extends RelationProvider
with SchemaRelationProvider
with CreatableRelationProvider {
private val log = LoggerFactory.getLogger(getClass)
/**
* Default constructor required by Data Source API
*/
def this() = this(DefaultJDBCWrapper, awsCredentials => new AmazonS3Client(awsCredentials))
/**
* Create a new RedshiftRelation instance using parameters from Spark SQL DDL. Resolves the schema
* using JDBC connection over provided URL, which must contain credentials.
*/
override def createRelation(
sqlContext: SQLContext,
parameters: Map[String, String]): BaseRelation = {
val params = Parameters.mergeParameters(parameters)
RedshiftRelation(jdbcWrapper, s3ClientFactory, params, None)(sqlContext)
}
/**
* Load a RedshiftRelation using user-provided schema, so no inference over JDBC will be used.
*/
override def createRelation(
sqlContext: SQLContext,
parameters: Map[String, String],
schema: StructType): BaseRelation = {
val params = Parameters.mergeParameters(parameters)
RedshiftRelation(jdbcWrapper, s3ClientFactory, params, Some(schema))(sqlContext)
}
/**
* Creates a Relation instance by first writing the contents of the given DataFrame to Redshift
*/
override def createRelation(
sqlContext: SQLContext,
saveMode: SaveMode,
parameters: Map[String, String],
data: DataFrame): BaseRelation = {
val params = Parameters.mergeParameters(parameters)
val table = params.table.getOrElse {
throw new IllegalArgumentException(
"For save operations you must specify a Redshift table name with the 'dbtable' parameter")
}
def tableExists: Boolean = {
val conn = jdbcWrapper.getConnector(params.jdbcDriver, params.jdbcUrl, params.credentials)
try {
jdbcWrapper.tableExists(conn, table.toString)
} finally {
conn.close()
}
}
val (doSave, dropExisting) = saveMode match {
case SaveMode.Append => (true, false)
case SaveMode.Overwrite => (true, true)
case SaveMode.ErrorIfExists =>
if (tableExists) {
sys.error(s"Table $table already exists! (SaveMode is set to ErrorIfExists)")
} else {
(true, false)
}
case SaveMode.Ignore =>
if (tableExists) {
log.info(s"Table $table already exists -- ignoring save request.")
(false, false)
} else {
(true, false)
}
}
if (doSave) {
val updatedParams = parameters.updated("overwrite", dropExisting.toString)
new RedshiftWriter(jdbcWrapper, s3ClientFactory).saveToRedshift(
sqlContext, data, saveMode, Parameters.mergeParameters(updatedParams))
}
createRelation(sqlContext, parameters)
}
}
