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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.streaming.sqs
import org.apache.spark.internal.Logging
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.execution.streaming.Source
import org.apache.spark.sql.sources.{DataSourceRegister, StreamSourceProvider}
import org.apache.spark.sql.types.StructType
class SqsSourceProvider extends DataSourceRegister
with StreamSourceProvider
with Logging {
override def shortName(): String = "s3-sqs"
override def sourceSchema(sqlContext: SQLContext,
schema: Option[StructType],
providerName: String,
parameters: Map[String, String]): (String, StructType) = {
require(schema.isDefined, "Sqs source doesn't support empty schema")
(shortName(), schema.get)
}
override def createSource(sqlContext: SQLContext,
metadataPath: String,
schema: Option[StructType],
providerName: String,
parameters: Map[String, String]): Source = {
new SqsSource(
sqlContext.sparkSession,
metadataPath,
parameters,
schema.get)
}
}