Created
August 14, 2018 15:11
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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.kudu.spark.kudu | |
import org.apache.spark.sql.DataFrame | |
import org.apache.spark.sql.SQLContext | |
import org.apache.spark.sql.execution.streaming._ | |
import org.apache.spark.sql.sources.DataSourceRegister | |
import org.apache.spark.sql.sources.StreamSinkProvider | |
import org.apache.spark.sql.streaming.OutputMode | |
import org.apache.spark.sql.streaming.StreamTest | |
class StreamingSuite extends StreamTest with KuduTestSuite { | |
import testImplicits._ | |
def transformation(v: Int): (Int, String) = | |
(v + 1, v.toString) | |
test("testing KuduContext with Streaming DataFrame") { | |
withTempDir { checkpointDir => | |
val input = MemoryStream[Int] | |
val query = input | |
.toDS() | |
.map(v => (v + 1, v.toString)) | |
.toDF("key", "value") | |
.writeStream | |
.format(classOf[KuduSinkProvider].getCanonicalName) | |
.option("kudu.master", miniCluster.getMasterAddresses) | |
.option("kudu.table", simpleTableName) | |
.option("checkpointLocation", checkpointDir.getCanonicalPath) | |
.outputMode(OutputMode.Update) | |
.start() | |
def verifyOutput(expectedVersion: Int, expectedData: Seq[(Int, String)]): Unit = { | |
val df = sqlContext.read | |
.options( | |
Map("kudu.master" -> miniCluster.getMasterAddresses, "kudu.table" -> simpleTableName)) | |
.kudu | |
val actual = df.rdd | |
.map { row => | |
(row.get(0), row.getString(1)) | |
} | |
.collect() | |
.toSet | |
assert(actual === expectedData.toSet) | |
} | |
// send data | |
input.addData(1, 2, 3, 4) | |
query.processAllAvailable() | |
verifyOutput(expectedVersion = 0, expectedData = (1 to 4).map(transformation)) | |
query.stop() | |
} | |
} | |
} | |
class KuduSinkProvider extends StreamSinkProvider with DataSourceRegister { | |
override def createSink( | |
sqlContext: SQLContext, | |
parameters: Map[String, String], | |
partitionColumns: Seq[String], | |
outputMode: OutputMode): Sink = | |
new KuduSink(sqlContext, parameters) | |
override def shortName(): String = "kudu" | |
} | |
class KuduSink(sqlContext: SQLContext, parameters: Map[String, String]) extends Sink { | |
private val kuduContext = | |
new KuduContext(parameters("kudu.master"), sqlContext.sparkContext) | |
private val tablename = parameters("kudu.table") | |
override def addBatch(batchId: Long, data: DataFrame): Unit = { | |
kuduContext.upsertRows(data, tablename) | |
} | |
} |
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To compile this in Kudu the following maven dependencies are need: