anishshri-db commented on code in PR #41791:
URL: https://github.com/apache/spark/pull/41791#discussion_r1251219532
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connector/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/KafkaSourceProviderSuite.scala:
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@@ -18,30 +18,108 @@
package org.apache.spark.sql.kafka010
import java.util.Locale
-
-import scala.collection.JavaConverters._
+import java.util.concurrent.ExecutionException
import org.mockito.Mockito.{mock, when}
-import org.apache.spark.{SparkConf, SparkEnv, SparkFunSuite}
+import org.apache.spark.{SparkConf, SparkEnv, SparkException, SparkFunSuite,
TestUtils}
+import org.apache.spark.sql.Row
import org.apache.spark.sql.connector.read.Scan
+import org.apache.spark.sql.functions.col
+import org.apache.spark.sql.streaming.StreamingQueryException
+import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.types.{StringType, StructType}
import org.apache.spark.sql.util.CaseInsensitiveStringMap
-class KafkaSourceProviderSuite extends SparkFunSuite {
+class KafkaSourceProviderSuite extends SparkFunSuite with SharedSparkSession {
+ import scala.collection.JavaConverters._
private val expected = "1111"
+ protected var testUtils: KafkaTestUtils = _
+
override protected def afterEach(): Unit = {
- SparkEnv.set(null)
super.afterEach()
}
+ override protected def beforeAll(): Unit = {
+ super.beforeAll()
+ testUtils = new KafkaTestUtils
+ testUtils.setup()
+ }
+
+ override protected def afterAll(): Unit = {
+ try {
+ if (testUtils != null) {
+ testUtils.teardown()
+ testUtils = null
+ }
+ } finally {
+ super.afterAll()
+ }
+ }
+
test("batch mode - options should be handled as case-insensitive") {
verifyFieldsInBatch(KafkaSourceProvider.CONSUMER_POLL_TIMEOUT, expected,
batch => {
assert(expected.toLong === batch.pollTimeoutMs)
})
}
+ /* if testType contains source/sink, kafka is used as a source/sink option
respectively
+ if testType contains stream/batch, it is used either in readStream/read or
writeStream/write */
+ Seq("source and stream", "sink and stream",
+ "source and batch", "sink and batch").foreach { testType =>
+ test(s"test MSK IAM auth on kafka '$testType' side") {
+ val options: Map[String, String] = Map(
+ "kafka.bootstrap.servers" -> testUtils.brokerAddress,
+ "subscribe" -> "msk-123",
+ "startingOffsets" -> "earliest",
+ "kafka.sasl.mechanism" -> "AWS_MSK_IAM",
+ "kafka.sasl.jaas.config" ->
+ "software.amazon.msk.auth.iam.IAMLoginModule required;",
+ "kafka.security.protocol" -> "SASL_SSL",
+ "kafka.sasl.client.callback.handler.class" ->
+ "software.amazon.msk.auth.iam.IAMClientCallbackHandler"
+ )
+
+ var e: Throwable = null
+ if (testType.contains("stream")) {
+ if (testType.contains("source")) {
+ e = intercept[StreamingQueryException] {
+ spark.readStream.format("kafka").options(options).load()
+ .writeStream.format("console").start().processAllAvailable()
+ }
+ TestUtils.assertExceptionMsg(e, "Timed out")
Review Comment:
Can you add a comment here ? We expect a time out because the given
servers/broker don't exist ? How does it exercise the IAM path ?
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