Livy start new session - scala

I have a problem when I want to create a new session by livy the session dead after their creation, I have installed Livy , spark 3.0.0 , scala 1.12.10 and python 3.7.I followed these steps:
step 01 : start Livy server
./livy-server start
step 02 : start spark shell
spark-shell
step 03 : executing this code using python 3 :
import json, pprint, requests, textwrap
host = 'http://localhost:8998'
data = {'kind': 'spark'}
headers = {'Content-Type': 'application/json'}
r = requests.post(host + '/sessions', data=json.dumps(data), headers=headers)
r.json()
session_url = host + r.headers['location']
r = requests.get(session_url, headers=headers)
r.json()
statements_url = session_url + '/statements'
data = {'code': '1 + 1'}
r = requests.post(statements_url, data=json.dumps(data), headers=headers)
r.json()
statement_url = host + r.headers['location']
r = requests.get(statement_url, headers=headers)
pprint.pprint(r.json())
data = {
'code': textwrap.dedent("""
val NUM_SAMPLES = 100000;
val count = sc.parallelize(1 to NUM_SAMPLES).map { i =>
val x = Math.random();
val y = Math.random();
if (x*x + y*y < 1) 1 else 0
}.reduce(_ + _);
println(\"Pi is roughly \" + 4.0 * count / NUM_SAMPLES)
""")
}
r = requests.post(statements_url, data=json.dumps(data), headers=headers)
pprint.pprint(r.json())
statement_url = host + r.headers['location']
r = requests.get(statement_url, headers=headers)
pprint.pprint(r.json())
this is the log of my session :
stderr:
20/02/17 14:20:06 WARN Utils: Your hostname, zekri-VirtualBox resolves to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface enp0s3)
20/02/17 14:20:06 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/usr/local/spark-3.0.0-preview2-bin-hadoop2.7/jars/spark-unsafe_2.12-3.0.0-preview2.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
20/02/17 14:20:07 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
log4j:WARN No appenders could be found for logger (io.netty.util.internal.logging.InternalLoggerFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Exception in thread "main" java.lang.NoClassDefFoundError: scala/Function0$class
at org.apache.livy.shaded.json4s.ThreadLocal.<init>(Formats.scala:311)
at org.apache.livy.shaded.json4s.DefaultFormats$class.$init$(Formats.scala:318)
at org.apache.livy.shaded.json4s.DefaultFormats$.<init>(Formats.scala:296)
at org.apache.livy.shaded.json4s.DefaultFormats$.<clinit>(Formats.scala)
at org.apache.livy.repl.Session.<init>(Session.scala:66)
at org.apache.livy.repl.ReplDriver.initializeSparkEntries(ReplDriver.scala:41)
at org.apache.livy.rsc.driver.RSCDriver.run(RSCDriver.java:337)
at org.apache.livy.rsc.driver.RSCDriverBootstrapper.main(RSCDriverBootstrapper.java:93)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: scala.Function0$class
at java.base/java.net.URLClassLoader.findClass(URLClassLoader.java:471)
at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:588)
at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:521)
... 20 more

Related

pyflink with kafka java.lang.RuntimeException: Failed to create stage bundle factory

・Python3.8
・JDK 11
I've started learning pyflink and write a code instructed by official web which is https://nightlies.apache.org/flink/flink-docs-master/docs/dev/python/datastream/intro_to_datastream_api/
And here is my code
from pyflink.common.serialization import JsonRowDeserializationSchema,JsonRowSerializationSchema
from pyflink.common import WatermarkStrategy, Row
from pyflink.common.serialization import Encoder
from pyflink.common.typeinfo import Types
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.datastream.connectors import FlinkKafkaConsumer,FlinkKafkaProducer
def streaming():
env = StreamExecutionEnvironment.get_execution_environment()
deserialization_schema =JsonRowDeserializationSchema.builder().type_info(
type_info=Types.ROW([Types.INT(), Types.STRING()])).build()
kafka_consumer = FlinkKafkaConsumer(
topics='test',
deserialization_schema=deserialization_schema,
properties={'bootstrap.servers': 'localhost:9092','group.id': 'test_group'})
ds = env.add_source(kafka_consumer)
ds = ds.map(lambda a: Row(a % 4, 1),
output_type=Types.ROW([Types.LONG(), Types.LONG()])) \
.key_by(lambda a: a[0]) \
.reduce(lambda a, b: Row(a[0], a[1] + b[1]))
serialization_schema = JsonRowSerializationSchema.builder().with_type_info(
type_info=Types.ROW([Types.LONG(), Types.LONG()])).build()
kafka_sink = FlinkKafkaProducer(
topic='test_sink_topic',
serialization_schema=serialization_schema,
producer_config={'bootstrap.servers': 'localhost:9092',
'group.id': 'test_group'})
ds.add_sink(kafka_sink)
env.execute('datastream_api_demo')
if __name__ == '__main__':
streaming()
Firstly it said to me to specify jarfile. So I downloaded flink-connector-kafka and kafka-clients jarfile for each from https://mvnrepository.com/artifact/org.apache.flink and put them into pyflink/lib directory.
And now I'm at next step getting this error;
(pyflink_demo) C:\work\pyflink_demo>python Kafka_stream_Kafka.py
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.flink.api.java.ClosureCleaner (file:/C:/work/pyflink_demo/Lib/site-packages/pyflink/lib/flink-dist_2.11-1.14.4.jar) to field java.util.P
roperties.serialVersionUID
WARNING: Please consider reporting this to the maintainers of org.apache.flink.api.java.ClosureCleaner
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Traceback (most recent call last):
File "Kafka_stream_Kafka.py", line 38, in <module>
streaming()
File "Kafka_stream_Kafka.py", line 33, in streaming
env.execute('datastream_api_demo')
File "C:\work\pyflink_demo\lib\site-packages\pyflink\datastream\stream_execution_environment.py", line 691, in execute
return JobExecutionResult(self._j_stream_execution_environment.execute(j_stream_graph))
File "C:\work\pyflink_demo\lib\site-packages\py4j\java_gateway.py", line 1285, in __call__
return_value = get_return_value(
File "C:\work\pyflink_demo\lib\site-packages\pyflink\util\exceptions.py", line 146, in deco
return f(*a, **kw)
File "C:\work\pyflink_demo\lib\site-packages\py4j\protocol.py", line 326, in get_return_value
raise Py4JJavaError(
py4j.protocol.Py4JJavaError: An error occurred while calling o0.execute.
: org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144)
at org.apache.flink.runtime.minicluster.MiniClusterJobClient.lambda$getJobExecutionResult$3(MiniClusterJobClient.java:137)
at java.base/java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:642)
at java.base/java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:506)
at java.base/java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:2073)
at org.apache.flink.runtime.rpc.akka.AkkaInvocationHandler.lambda$invokeRpc$1(AkkaInvocationHandler.java:258)
at java.base/java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:859)
at java.base/java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:837)
at java.base/java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:506)
at java.base/java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:2073)
at org.apache.flink.util.concurrent.FutureUtils.doForward(FutureUtils.java:1389)
at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.lambda$null$1(ClassLoadingUtils.java:93)
at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:68)
at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.lambda$guardCompletionWithContextClassLoader$2(ClassLoadingUtils.java:92)
at java.base/java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:859)
at java.base/java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:837)
at java.base/java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:506)
at java.base/java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:2073)
at org.apache.flink.runtime.concurrent.akka.AkkaFutureUtils$1.onComplete(AkkaFutureUtils.java:47)
at akka.dispatch.OnComplete.internal(Future.scala:300)
at akka.dispatch.OnComplete.internal(Future.scala:297)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:224)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:221)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
at org.apache.flink.runtime.concurrent.akka.AkkaFutureUtils$DirectExecutionContext.execute(AkkaFutureUtils.java:65)
at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:68)
at scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1(Promise.scala:284)
at scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1$adapted(Promise.scala:284)
at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:284)
at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:621)
at akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:24)
at akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:23)
at scala.concurrent.Future.$anonfun$andThen$1(Future.scala:532)
at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:29)
at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:29)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:63)
at akka.dispatch.BatchingExecutor$BlockableBatch.$anonfun$run$1(BatchingExecutor.scala:100)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:81)
at akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:100)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:49)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:48)
at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:290)
at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1020)
at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1656)
at java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1594)
at java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:183)
Caused by: org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138)
at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82)
at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:252)
at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:242)
at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:233)
at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:684)
at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:79)
at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:444)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$handleRpcInvocation$1(AkkaRpcActor.java:316)
at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:314)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:217)
at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:78)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:163)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:24)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:20)
at scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:20)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at akka.actor.Actor.aroundReceive(Actor.scala:537)
at akka.actor.Actor.aroundReceive$(Actor.scala:535)
at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:220)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:580)
at akka.actor.ActorCell.invoke(ActorCell.scala:548)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:270)
at akka.dispatch.Mailbox.run(Mailbox.scala:231)
at akka.dispatch.Mailbox.exec(Mailbox.scala:243)
... 5 more
Caused by: java.lang.RuntimeException: Failed to create stage bundle factory! INFO:root:Initializing Python harness: C:\work\pyflink_demo\lib\site-packages\pyflink\fn_execution\beam\bea
m_boot.py --id=4-1 --provision_endpoint=localhost:51794
INFO:root:Starting up Python harness in loopback mode.
at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.createStageBundleFactory(BeamPythonFunctionRunner.java:566)
at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.open(BeamPythonFunctionRunner.java:255)
at org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.open(AbstractPythonFunctionOperator.java:131)
at org.apache.flink.streaming.api.operators.python.AbstractOneInputPythonFunctionOperator.open(AbstractOneInputPythonFunctionOperator.java:116)
at org.apache.flink.streaming.api.operators.python.PythonProcessOperator.open(PythonProcessOperator.java:59)
at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.initializeStateAndOpenOperators(RegularOperatorChain.java:110)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreGates(StreamTask.java:711)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.call(StreamTaskActionExecutor.java:100)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreInternal(StreamTask.java:687)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restore(StreamTask.java:654)
at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958)
at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:927)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
at java.base/java.lang.Thread.run(Thread.java:834)
Caused by: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.UncheckedExecutionException: java.lang.IllegalStateException: Process died with exit code 0
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2050)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4964)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:451)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:436)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory.forStage(DefaultJobBundleFactory.java:303)
at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.createStageBundleFactory(BeamPythonFunctionRunner.java:564)
... 14 more
Caused by: java.lang.IllegalStateException: Process died with exit code 0
at org.apache.beam.runners.fnexecution.environment.ProcessManager$RunningProcess.isAliveOrThrow(ProcessManager.java:75)
at org.apache.beam.runners.fnexecution.environment.ProcessEnvironmentFactory.createEnvironment(ProcessEnvironmentFactory.java:112)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:252)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:231)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3528)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2277)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2154)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2044)
... 22 more
I tried to figure out what's going on and found very similar question What's wrong with my Pyflink setup that Python UDFs throw py4j exceptions?
It says that was caused by network proxy problem. JVM and python uses local socket communication. So set local communication with no proxy.
I set environment valuable "no_proxy" but it doesn't work.
enter image description here
Could anyone provide solution for this?
There is no useful information in the exception stack to help to identify the problem. This should be caused by a known issue(FLINK-26543, already solved, however still not released). This issue only occurs in loopback mode which is enabled by default when executing the job locally.
For now, you could try to force the job run in process mode instead of loopback mode by setting environment variable _python_worker_execution_mode to process. After doing this, you should see the root cause of the failure.
Besides, there is also a small issue in your code. I guess you meant ds.map(lambda a: Row(a[0] % 4, 1), output_type=Types.ROW([Types.LONG(), Types.LONG()])) instead of ds.map(lambda a: Row(a % 4, 1), output_type=Types.ROW([Types.LONG(), Types.LONG()])) as it doesn't support % operation in Row object.
I have tried the script. I am not quite sure what caused the error. Try to start kafka first and create the topics, before running the script. Or start kafka and run the script a second time after first failure.

Wiremock using certificate not working on Windows

This error only happens on the Windows OS. On Linux and MacOS it works fine.
I've made sure that the password for the certificates is correct, that they do exist in the mentioned location and that the port is available.
Language is Kotlin. Testing framework is Kotest.
Certificates are under:
test/resources/ssl-certs/client-cert.p12
test/resources/ssl-certs/server-cert.p12
import com.github.tomakehurst.wiremock.client.WireMock.aResponse
import com.github.tomakehurst.wiremock.client.WireMock.get
import com.github.tomakehurst.wiremock.http.RequestMethod
import com.github.tomakehurst.wiremock.matching.ContainsPattern
import com.github.tomakehurst.wiremock.matching.RequestPatternBuilder.newRequestPattern
import com.github.tomakehurst.wiremock.matching.UrlPattern
import my.test.library.apigee.bankingapi.BankingApiApigeePropertiesFixtures.bankingApiApigeeProperties
import my.test.library.apigee.bankingapi.testutils.mockServer
import io.kotest.assertions.withClue
import io.kotest.core.spec.style.StringSpec
import io.kotest.matchers.shouldBe
import org.springframework.http.HttpMethod
import org.springframework.http.HttpStatus
import java.net.URI
class ApigeeSslConnectionFactoryBuilderTest : StringSpec({
val sslServerPort = 10443
val apigeeMockServer = mockServer {
httpDisabled(true)
httpsPort(sslServerPort)
keystorePath(ApigeeSslConnectionFactoryBuilderTest::class.java.getResource("/ssl-certs/server-cert.p12").path)
keystoreType("pkcs12")
keystorePassword("wiremock-truststore-password")
keyManagerPassword("wiremock-truststore-password")
needClientAuth(true)
trustStorePath(ApigeeSslConnectionFactoryBuilderTest::class.java.getResource("/ssl-certs/client-cert.p12").path)
trustStorePassword("ssl-password")
trustStoreType("pkcs12")
}
beforeSpec {
apigeeMockServer.stubFor(
get("/some-url").willReturn(
aResponse().withStatus(200)
)
)
}
val sut = ApigeeSslConnectionFactoryBuilder(
bankingApiApigeeProperties(
url = "https://localhost:$sslServerPort",
sslCertificateURL = "/ssl-certs/client-cert.p12",
sslCertificatePassword = "ssl-password"
)
)
"#buildSSlRequestFactory" {
withClue("ssl configuration is used") {
val request = sut.buildSSlRequestFactory().createRequest(URI.create("https://localhost:$sslServerPort/some-url"), HttpMethod.GET)
val response = request.execute()
response.statusCode shouldBe HttpStatus.OK
apigeeMockServer.verify(
newRequestPattern(RequestMethod.GET, UrlPattern(ContainsPattern("/some-url"), false))
)
}
}
})
The error I'm getting (only on Windows):
14:09:46.196 [qtp1976741669-37] DEBUG org.eclipse.jetty.io.WriteFlusher - ignored: WriteFlusher#1502467f{IDLE}->null
javax.net.ssl.SSLHandshakeException: Read error: ssl=0000029A3CD9AFE8: Failure in SSL library, usually a protocol error
error:100000c0:SSL routines:OPENSSL_internal:PEER_DID_NOT_RETURN_A_CERTIFICATE (..\ssl\tls13_both.cc:324 00007FFD46C71BC0:0x00000000)
.
.
.
.
Process finished with exit code -1
Software caused connection abort: recv failed
javax.net.ssl.SSLProtocolException: Software caused connection abort: recv failed
at java.base/sun.security.ssl.Alert.createSSLException(Alert.java:126)
at java.base/sun.security.ssl.TransportContext.fatal(TransportContext.java:321)
at java.base/sun.security.ssl.TransportContext.fatal(TransportContext.java:264)
at java.base/sun.security.ssl.TransportContext.fatal(TransportContext.java:259)
at java.base/sun.security.ssl.SSLSocketImpl.handleException(SSLSocketImpl.java:1314)
at java.base/sun.security.ssl.SSLSocketImpl$AppInputStream.read(SSLSocketImpl.java:839)
at org.apache.http.impl.conn.LoggingInputStream.read(LoggingInputStream.java:84)
at org.apache.http.impl.io.SessionInputBufferImpl.streamRead(SessionInputBufferImpl.java:137)
at org.apache.http.impl.io.SessionInputBufferImpl.fillBuffer(SessionInputBufferImpl.java:153)
at org.apache.http.impl.io.SessionInputBufferImpl.readLine(SessionInputBufferImpl.java:280)
at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:138)
at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:56)
at org.apache.http.impl.io.AbstractMessageParser.parse(AbstractMessageParser.java:259)
at org.apache.http.impl.DefaultBHttpClientConnection.receiveResponseHeader(DefaultBHttpClientConnection.java:163)
at org.apache.http.impl.conn.CPoolProxy.receiveResponseHeader(CPoolProxy.java:157)
at org.apache.http.protocol.HttpRequestExecutor.doReceiveResponse(HttpRequestExecutor.java:273)
at org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:125)
at org.apache.http.impl.execchain.MainClientExec.execute(MainClientExec.java:272)
at org.apache.http.impl.execchain.ProtocolExec.execute(ProtocolExec.java:186)
at org.apache.http.impl.execchain.RetryExec.execute(RetryExec.java:89)
at org.apache.http.impl.execchain.RedirectExec.execute(RedirectExec.java:110)
at org.apache.http.impl.client.InternalHttpClient.doExecute(InternalHttpClient.java:185)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:83)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:56)
at org.springframework.http.client.HttpComponentsClientHttpRequest.executeInternal(HttpComponentsClientHttpRequest.java:87)
at org.springframework.http.client.AbstractBufferingClientHttpRequest.executeInternal(AbstractBufferingClientHttpRequest.java:48)
at org.springframework.http.client.AbstractClientHttpRequest.execute(AbstractClientHttpRequest.java:53)
at org.springframework.http.client.BufferingClientHttpRequestWrapper.executeInternal(BufferingClientHttpRequestWrapper.java:63)
at org.springframework.http.client.AbstractBufferingClientHttpRequest.executeInternal(AbstractBufferingClientHttpRequest.java:48)
at org.springframework.http.client.AbstractClientHttpRequest.execute(AbstractClientHttpRequest.java:53)
at my.test.library.apigee.bankingapi.certificates.ApigeeSslConnectionFactoryBuilderTest$1$2.invokeSuspend(ApigeeSslConnectionFactoryBuilderTest.kt:57)
at my.test.library.apigee.bankingapi.certificates.ApigeeSslConnectionFactoryBuilderTest$1$2.invoke(ApigeeSslConnectionFactoryBuilderTest.kt)
at io.kotest.core.runtime.ExecutionsKt$executeWithBehaviours$2$1.invokeSuspend(executions.kt:16)
at io.kotest.core.runtime.ExecutionsKt$executeWithBehaviours$2$1.invoke(executions.kt)
at io.kotest.core.runtime.ExecutionsKt.wrapTestWithGlobalAssert(executions.kt:43)
at io.kotest.core.runtime.ExecutionsKt$executeWithBehaviours$2.invokeSuspend(executions.kt:15)
at io.kotest.core.runtime.ExecutionsKt$executeWithBehaviours$2.invoke(executions.kt)
at io.kotest.core.runtime.ExecutionsKt$wrapTestWithAssertionModeCheck$2.invokeSuspend(executions.kt:29)
at io.kotest.core.runtime.ExecutionsKt$wrapTestWithAssertionModeCheck$2.invoke(executions.kt)
at io.kotest.core.test.AssertionModeKt.executeWithAssertionsCheck(AssertionMode.kt:39)
at io.kotest.core.runtime.ExecutionsKt.wrapTestWithAssertionModeCheck(executions.kt:28)
at io.kotest.core.runtime.ExecutionsKt.executeWithBehaviours(executions.kt:14)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1$1$3$1.invokeSuspend(TestCaseExecutor.kt:195)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1$1$3$1.invoke(TestCaseExecutor.kt)
at kotlinx.coroutines.intrinsics.UndispatchedKt.startUndispatchedOrReturn(Undispatched.kt:91)
at kotlinx.coroutines.CoroutineScopeKt.coroutineScope(CoroutineScope.kt:194)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1$1$3.invokeSuspend(TestCaseExecutor.kt:189)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1$1$3.invoke(TestCaseExecutor.kt)
at io.kotest.core.runtime.ReplayKt.replay(replay.kt:19)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1$1.invokeSuspend(TestCaseExecutor.kt:184)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1$1.invoke(TestCaseExecutor.kt)
at kotlinx.coroutines.intrinsics.UndispatchedKt.startUndispatchedOrReturnIgnoreTimeout(Undispatched.kt:102)
at kotlinx.coroutines.TimeoutKt.setupTimeout(Timeout.kt:120)
at kotlinx.coroutines.TimeoutKt.withTimeout(Timeout.kt:37)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1.invokeSuspend(TestCaseExecutor.kt:183)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2$1.invoke(TestCaseExecutor.kt)
at io.kotest.core.runtime.ExecutorExecutionContext$executeWithTimeoutInterruption$$inlined$suspendCoroutine$lambda$2.invokeSuspend(ExecutorExecutionContext.kt:47)
at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:56)
at kotlinx.coroutines.EventLoopImplBase.processNextEvent(EventLoop.common.kt:274)
at kotlinx.coroutines.BlockingCoroutine.joinBlocking(Builders.kt:84)
at kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking(Builders.kt:59)
at kotlinx.coroutines.BuildersKt.runBlocking(Unknown Source)
at kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking$default(Builders.kt:38)
at kotlinx.coroutines.BuildersKt.runBlocking$default(Unknown Source)
at io.kotest.core.runtime.ExecutorExecutionContext.executeWithTimeoutInterruption-D5N0EJY(ExecutorExecutionContext.kt:46)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2.invokeSuspend(TestCaseExecutor.kt:182)
at io.kotest.core.runtime.TestCaseExecutor$executeAndWait$2.invoke(TestCaseExecutor.kt)
at kotlinx.coroutines.intrinsics.UndispatchedKt.startUndispatchedOrReturnIgnoreTimeout(Undispatched.kt:102)
at kotlinx.coroutines.TimeoutKt.setupTimeout(Timeout.kt:120)
at kotlinx.coroutines.TimeoutKt.withTimeout(Timeout.kt:37)
at io.kotest.core.runtime.TestCaseExecutor.executeAndWait(TestCaseExecutor.kt:180)
at io.kotest.core.runtime.TestCaseExecutor.invokeTestCase(TestCaseExecutor.kt:149)
at io.kotest.core.runtime.TestCaseExecutor.executeActiveTest(TestCaseExecutor.kt:118)
at io.kotest.core.runtime.TestCaseExecutor$intercept$2.invokeSuspend(TestCaseExecutor.kt:69)
at io.kotest.core.runtime.TestCaseExecutor$intercept$2.invoke(TestCaseExecutor.kt)
at io.kotest.core.runtime.TestCaseExecutor.executeIfActive(TestCaseExecutor.kt:83)
at io.kotest.core.runtime.TestCaseExecutor.intercept(TestCaseExecutor.kt:69)
at io.kotest.core.runtime.TestCaseExecutor.execute(TestCaseExecutor.kt:50)
at io.kotest.core.engine.SingleInstanceSpecRunner.runTest(SingleInstanceSpecRunner.kt:61)
at io.kotest.core.engine.SingleInstanceSpecRunner$execute$2$invokeSuspend$$inlined$invoke$lambda$1.invokeSuspend(SingleInstanceSpecRunner.kt:71)
at io.kotest.core.engine.SingleInstanceSpecRunner$execute$2$invokeSuspend$$inlined$invoke$lambda$1.invoke(SingleInstanceSpecRunner.kt)
at io.kotest.core.engine.SpecRunner$runParallel$$inlined$map$lambda$2$1.invokeSuspend(SpecRunner.kt:78)
at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:56)
at kotlinx.coroutines.EventLoopImplBase.processNextEvent(EventLoop.common.kt:274)
at kotlinx.coroutines.BlockingCoroutine.joinBlocking(Builders.kt:84)
at kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking(Builders.kt:59)
at kotlinx.coroutines.BuildersKt.runBlocking(Unknown Source)
at kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking$default(Builders.kt:38)
at kotlinx.coroutines.BuildersKt.runBlocking$default(Unknown Source)
at io.kotest.core.engine.SpecRunner$runParallel$$inlined$map$lambda$2.run(SpecRunner.kt:77)
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
Caused by: java.net.SocketException: Software caused connection abort: recv failed
at java.base/java.net.SocketInputStream.socketRead0(Native Method)
at java.base/java.net.SocketInputStream.socketRead(SocketInputStream.java:115)
at java.base/java.net.SocketInputStream.read(SocketInputStream.java:168)
at java.base/java.net.SocketInputStream.read(SocketInputStream.java:140)
at java.base/sun.security.ssl.SSLSocketInputRecord.read(SSLSocketInputRecord.java:448)
at java.base/sun.security.ssl.SSLSocketInputRecord.bytesInCompletePacket(SSLSocketInputRecord.java:68)
at java.base/sun.security.ssl.SSLSocketImpl.readApplicationRecord(SSLSocketImpl.java:1104)
at java.base/sun.security.ssl.SSLSocketImpl$AppInputStream.read(SSLSocketImpl.java:823)
... 91 more

Spark to read Cassandra

Hi I am trying to extract data from Cassandra using AWS Glue and writing PySpark Code. Below is the code and gave me error. Please suggest me how i can import classes/drivers.
I want to extract from Cassandra and create files into S3 Buckets.
#from awsglue.transforms import sys
import sys
from pyspark.sql import SQLContext
from pyspark.sql import SparkSession
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.dynamicframe import DynamicFrame
from awsglue.job import Job
from awsglue.utils import getResolvedOptions
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
sparkContext = SparkContext()
glueContext = GlueContext(sparkContext)
sparkSession = glueContext.spark_session
#Use the CData JDBC driver to read Cassandra data from the Customer table into a DataFrame ##Note the populated JDBC URL and driver class name
#source_df = sparkSession.read.format("jdbc").option("url","jdbc:cassandra:RTK=5246...;Database=MyCassandraDB;Port=7000;Server=db-datastax02c-dc2.stage.impello.co.uk;")\.option("dbtable","reads_by_received_date").option("driver","cdata.jdbc.cassandra.CassandraDriver").load()*/
#df = glueContext.read.format("jdbc").option("driver", jdbc_driver_name).option("url", db_url).option("dbtable", table_name).option("user", db_username).option("password", db_password).load()
glueJob = Job(glueContext)
glueJob.init(args['JOB_NAME'], args)
testdf = sparkSession.read.format("org.apache.spark.sql.cassandra")\
.option("spark.cassandra.connection.host", "server")\
.options(table="reads_by_received_date",keyspace="keyspace")\
.option("spark.cassandra.auth.username", "username") \
.option("spark.cassandra.auth.password", "username") \
.load()\
#.select(*)\
#.where( "received_year in (2020)")\
#.cache()
##Convert DataFrames to AWS Glue's DynamicFrames Object
dynamic_dframe = DynamicFrame.fromDF(testdf, glueContext, "dynamic_df")
##Write the DynamicFrame as a file in CSV format to a folder in an S3 bucket.
datatransfer = glueContext.write_dynamic_frame.from_options(frame = dynamic_dframe\
, connection_type = "s3"\
, connection_options = {"path": "s3://bucket/"}\
, format = "csv"\
, transformation_ctx = "datasink4"
)
glueJob.commit()
Error:
Aug 28, 2020, 4:43:27 PM Pending execution
Traceback (most recent call last): File "/tmp/CassandraToS3", line 27, in <module> .option("spark.cassandra.auth.password", "password") \ File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 172, in load return self._df(self._jreader.load()) File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__ answer, self.gateway_client, self.target_id, self.name) File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco return f(*a, **kw) File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value format(target_id, ".", name), value) py4j.protocol.Py4JJavaError: An error occurred while calling o75.load. : java.io.IOException: Failed to open native connection to Cassandra at {} :: Could not reach any contact point, make sure you've provided valid addresses (showing first 1 nodes, use getAllErrors() for more): Node(endPoint=/127.0.0.1:9042, hostId=null, hashCode=4f522a41): [com.datastax.oss.driver.api.core.connection.ConnectionInitException: [s0|control|connecting...] Protocol initialization request, step 1 (OPTIONS): failed to send request (java.nio.channels.ClosedChannelException)] at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:181) at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$3.apply(CassandraConnector.scala:169) at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$3.apply(CassandraConnector.scala:169) at com.datastax.spark.connector.cql.RefCountedCache.createNewValueAndKeys(RefCountedCache.scala:32) at com.datastax.spark.connector.cql.RefCountedCache.syncAcquire(RefCountedCache.scala:69) at com.datastax.spark.connector.cql.RefCountedCache.acquire(RefCountedCache.scala:57) at com.datastax.spark.connector.cql.CassandraConnector.openSession(CassandraConnector.scala:89) at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:111) at com.datastax.spark.connector.rdd.partitioner.dht.TokenFactory$.forSystemLocalPartitioner(TokenFactory.scala:98) at org.apache.spark.sql.cassandra.CassandraSourceRelation$.apply(CassandraSourceRelation.scala:680) at org.apache.spark.sql.cassandra.DefaultSource.createRelation(DefaultSource.scala:57) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318) at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:167) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748) Caused by: com.datastax.oss.driver.api.core.AllNodesFailedException: Could not reach any contact point, make sure you've provided valid addresses (showing first 1 nodes, use getAllErrors() for more): Node(endPoint=/127.0.0.1:9042, hostId=null, hashCode=4f522a41): [com.datastax.oss.driver.api.core.connection.ConnectionInitException: [s0|control|connecting...] Protocol initialization request, step 1 (OPTIONS): failed to send request (java.nio.channels.ClosedChannelException)] at com.datastax.oss.driver.api.core.AllNodesFailedException.copy(AllNodesFailedException.java:141) at com.datastax.oss.driver.internal.core.util.concurrent.CompletableFutures.getUninterruptibly(CompletableFutures.java:149) at com.datastax.oss.driver.api.core.session.SessionBuilder.build(SessionBuilder.java:633) at com.datastax.spark.connector.cql.DefaultConnectionFactory$.createSession(CassandraConnectionFactory.scala:144) at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:175) ... 25 more Suppressed: com.datastax.oss.driver.api.core.connection.ConnectionInitException: [s0|control|connecting...] Protocol initialization request, step 1 (OPTIONS): failed to send request (java.nio.channels.ClosedChannelException) at com.datastax.oss.driver.internal.core.channel.ProtocolInitHandler$InitRequest.fail(ProtocolInitHandler.java:342) at com.datastax.oss.driver.internal.core.channel.ChannelHandlerRequest.writeListener(ChannelHandlerRequest.java:87) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:577) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:551) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:490) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.addListener(DefaultPromise.java:183) at com.datastax.oss.driver.shaded.netty.channel.DefaultChannelPromise.addListener(DefaultChannelPromise.java:95) at com.datastax.oss.driver.shaded.netty.channel.DefaultChannelPromise.addListener(DefaultChannelPromise.java:30) at com.datastax.oss.driver.internal.core.channel.ChannelHandlerRequest.send(ChannelHandlerRequest.java:76) at com.datastax.oss.driver.internal.core.channel.ProtocolInitHandler$InitRequest.send(ProtocolInitHandler.java:183) at com.datastax.oss.driver.internal.core.channel.ProtocolInitHandler.onRealConnect(ProtocolInitHandler.java:118) at com.datastax.oss.driver.internal.core.channel.ConnectInitHandler.lambda$connect$0(ConnectInitHandler.java:57) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:577) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListeners0(DefaultPromise.java:570) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:549) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:490) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.setValue0(DefaultPromise.java:615) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.setFailure0(DefaultPromise.java:608) at com.datastax.oss.driver.shaded.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:117) at com.datastax.oss.driver.shaded.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.fulfillConnectPromise(AbstractNioChannel.java:321) at com.datastax.oss.driver.shaded.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:337) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493) at com.datastax.oss.driver.shaded.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989) at com.datastax.oss.driver.shaded.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74) at com.datastax.oss.driver.shaded.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30) ... 1 more Suppressed: com.datastax.oss.driver.shaded.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: /127.0.0.1:9042 Caused by: java.net.ConnectException: Connection refused at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:714) at com.datastax.oss.driver.shaded.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330) at com.datastax.oss.driver.shaded.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576) at com.datastax.oss.driver.shaded.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493) at com.datastax.oss.driver.shaded.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989) at com.datastax.oss.driver.shaded.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74) at com.datastax.oss.driver.shaded.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30) at java.lang.Thread.run(Thread.java:748) Caused by: java.nio.channels.ClosedChannelException at com.datastax.oss.driver.shaded.netty.channel.AbstractChannel$AbstractUnsafe.newClosedChannelException(AbstractChannel.java:957) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannel$AbstractUnsafe.flush0(AbstractChannel.java:921) at com.datastax.oss.driver.shaded.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.flush0(AbstractNioChannel.java:354) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannel$AbstractUnsafe.flush(AbstractChannel.java:897) at com.datastax.oss.driver.shaded.netty.channel.DefaultChannelPipeline$HeadContext.flush(DefaultChannelPipeline.java:1372) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:748) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:740) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:726) at com.datastax.oss.driver.shaded.netty.channel.ChannelDuplexHandler.flush(ChannelDuplexHandler.java:127) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:748) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.invokeWriteAndFlush(AbstractChannelHandlerContext.java:763) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.write(AbstractChannelHandlerContext.java:788) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.writeAndFlush(AbstractChannelHandlerContext.java:756) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannelHandlerContext.writeAndFlush(AbstractChannelHandlerContext.java:806) at com.datastax.oss.driver.shaded.netty.channel.DefaultChannelPipeline.writeAndFlush(DefaultChannelPipeline.java:1025) at com.datastax.oss.driver.shaded.netty.channel.AbstractChannel.writeAndFlush(AbstractChannel.java:294) at com.datastax.oss.driver.internal.core.channel.ChannelHandlerRequest.send(ChannelHandlerRequest.java:75) ... 20 more
AWS Glue does not provide native library support to Cassandra. You need to get Cassandra connector and follow the steps mentioned in ETL jobs against non-native JDBC data sources.
Once you have the jar downloaded from here then you can pass to your job and use it in your pyspark script.

pyspark on emr with boto3, copy of s3 object result with Futures timed out after [100000 milliseconds]

I have a pyspark application that will transform csv to parquet and before this happen I'm copying some S3 object from a bucket to another.
pyspark with spark 2.4, emr 5.27, maximizeResourceAllocation set to true
I have various csv files size, from 80kb to 500mb.
Nonetheless, my EMR cluster (it doesn't fail on local with spark-submit) fails at 70% completion on a file that is 166mb (a previous at 480mb succeeded).
The job is simple:
def organise_adwords_csv():
s3 = boto3.resource('s3')
bucket = s3.Bucket(S3_ORIGIN_RAW_BUCKET)
for obj in bucket.objects.filter(Prefix=S3_ORIGIN_ADWORDS_RAW + "/"):
key = obj.key
copy_source = {
'Bucket': S3_ORIGIN_RAW_BUCKET,
'Key': key
}
key_tab = obj.key.split("/")
if len(key_tab) < 5:
print("continuing from length", obj)
continue
file_name = ''.join(key_tab[len(key_tab)-1:len(key_tab)])
if file_name == '':
print("continuing", obj)
continue
table = file_name.split("_")[1].replace("-", "_")
new_path = "{0}/{1}/{2}".format(S3_DESTINATION_ORDERED_ADWORDS_RAW_PATH, table, file_name)
print("new_path", new_path) <- the last print will end here
try:
s3.meta.client.copy(copy_source, S3_DESTINATION_RAW_BUCKET, new_path)
print("copy done")
except Exception as e:
print(e)
print("an exception occured while copying")
if __name__=='__main__':
organise_adwords_csv()
print("copy Final done") <- never printed
spark = SparkSession.builder.appName("adwords_transform") \
...
but, in the stdout, no errors / exception are showing.
In stderr logs:
19/10/09 16:16:57 INFO ApplicationMaster: Waiting for spark context initialization...
19/10/09 16:18:37 ERROR ApplicationMaster: Uncaught exception:
java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:220)
at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:468)
at org.apache.spark.deploy.yarn.ApplicationMaster.org$apache$spark$deploy$yarn$ApplicationMaster$$runImpl(ApplicationMaster.scala:305)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply$mcV$sp(ApplicationMaster.scala:245)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:779)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
at org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser(ApplicationMaster.scala:778)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:244)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:803)
at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
19/10/09 16:18:37 INFO ApplicationMaster: Final app status: FAILED, exitCode: 13, (reason: Uncaught exception: java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:220)
at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:468)
at org.apache.spark.deploy.yarn.ApplicationMaster.org$apache$spark$deploy$yarn$ApplicationMaster$$runImpl(ApplicationMaster.scala:305)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply$mcV$sp(ApplicationMaster.scala:245)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:779)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
at org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser(ApplicationMaster.scala:778)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:244)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:803)
at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
)
19/10/09 16:18:37 INFO ShutdownHookManager: Shutdown hook called
I'm completely blind, I don't understand what is failing / why.
How can I figure that out? On local it works like a charm (but super slow of course)
Edit:
After many tries I can confirm that the function:
s3.meta.client.copy(copy_source, S3_DESTINATION_RAW_BUCKET, new_path)
make the EMR cluster timeout, even tho it processed 80% of the files already.
Does anyone have a recommendation about this?
s3.meta.client.copy(copy_source, S3_DESTINATION_RAW_BUCKET, new_path)
This will fail for any source object larger than 5 GB. please use multipart upload in AWS. See https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html#multipartupload

Error while running spark on standalone cluster

I'm trying to run a simple Spark code on standalone cluster. Below is the code:
from pyspark import SparkConf,SparkContext
if __name__ == "__main__":
conf = SparkConf().setAppName("even-numbers").setMaster("spark://sumit-Inspiron-N5110:7077")
sc = SparkContext(conf)
inp = sc.parallelize([1,2,3,4,5])
even = inp.filter(lambda x: (x % 2 == 0)).collect()
for i in even:
print(i)
but, I'm getting error stating " Could not parse Master URL":
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: org.apache.spark.SparkException: Could not parse Master URL: '<pyspark.conf.SparkConf object at 0x7fb27e864850>'
at org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2760)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:501)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
18/01/07 16:59:47 INFO ShutdownHookManager: Shutdown hook called
18/01/07 16:59:47 INFO ShutdownHookManager: Deleting directory /tmp/spark-0d71782f-617f-44b1-9593-b9cd9267757e
I also tried setting the master as 'local', but it didn't work. Can someone help?
And yes, the command to run the job is
./bin/spark-submit even.py
Replace your following line
sc = SparkContext(conf)
with
sc = SparkContext(conf=conf)
you should have it solved.