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Re: Intellij idea Apache Spark sql and hadoop hdfs...

by New Contributor in Support Questions
‎04-21-2020 11:31 PM
‎04-21-2020 11:31 PM
When I try to reach telnet localhost, I get a problem which is connect to address 127.0.0.1 : Connection refused. What should I do to solve the problem ... View more

Intellij idea Apache Spark sql and hadoop hdfs con...

by New Contributor in Support Questions
‎04-21-2020 08:28 AM
‎04-21-2020 08:28 AM
I am using Intellij idea  Apache spark, and Im am trying to read the files which are stored in the hadoop hdfs. However I am getting this error I dont know how to solve this problem. Please Help me about it.     "C:\Program Files\Java\jdk1.8.0_241\bin\java.exe" "-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA 2019.3.4\lib\idea_rt.jar=49963:C:\Program Files\JetBrains\IntelliJ IDEA 2019.3.4\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files\Java\jdk1.8.0_241\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\jce.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\jfxswt.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\resources.jar;C:\Program Files\Java\jdk1.8.0_241\jre\lib\rt.jar;C:\Users\akbal\IdeaProjects\Spark Sql\target\classes;C:\Users\akbal\.m2\repository\org\apache\spark\spark-sql_2.11\2.2.0\spark-sql_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\com\univocity\univocity-parsers\2.2.1\univocity-parsers-2.2.1.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-sketch_2.11\2.2.0\spark-sketch_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-core_2.11\2.2.0\spark-core_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\apache\avro\avro\1.7.7\avro-1.7.7.jar;C:\Users\akbal\.m2\repository\com\thoughtworks\paranamer\paranamer\2.3\paranamer-2.3.jar;C:\Users\akbal\.m2\repository\org\apache\commons\commons-compress\1.4.1\commons-compress-1.4.1.jar;C:\Users\akbal\.m2\repository\org\tukaani\xz\1.0\xz-1.0.jar;C:\Users\akbal\.m2\repository\org\apache\avro\avro-mapred\1.7.7\avro-mapred-1.7.7-hadoop2.jar;C:\Users\akbal\.m2\repository\org\apache\avro\avro-ipc\1.7.7\avro-ipc-1.7.7.jar;C:\Users\akbal\.m2\repository\org\apache\avro\avro-ipc\1.7.7\avro-ipc-1.7.7-tests.jar;C:\Users\akbal\.m2\repository\com\twitter\chill_2.11\0.8.0\chill_2.11-0.8.0.jar;C:\Users\akbal\.m2\repository\com\esotericsoftware\kryo-shaded\3.0.3\kryo-shaded-3.0.3.jar;C:\Users\akbal\.m2\repository\com\esotericsoftware\minlog\1.3.0\minlog-1.3.0.jar;C:\Users\akbal\.m2\repository\org\objenesis\objenesis\2.1\objenesis-2.1.jar;C:\Users\akbal\.m2\repository\com\twitter\chill-java\0.8.0\chill-java-0.8.0.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-client\2.6.5\hadoop-client-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-common\2.6.5\hadoop-common-2.6.5.jar;C:\Users\akbal\.m2\repository\commons-cli\commons-cli\1.2\commons-cli-1.2.jar;C:\Users\akbal\.m2\repository\xmlenc\xmlenc\0.52\xmlenc-0.52.jar;C:\Users\akbal\.m2\repository\commons-httpclient\commons-httpclient\3.1\commons-httpclient-3.1.jar;C:\Users\akbal\.m2\repository\commons-io\commons-io\2.4\commons-io-2.4.jar;C:\Users\akbal\.m2\repository\commons-collections\commons-collections\3.2.2\commons-collections-3.2.2.jar;C:\Users\akbal\.m2\repository\commons-lang\commons-lang\2.6\commons-lang-2.6.jar;C:\Users\akbal\.m2\repository\commons-configuration\commons-configuration\1.6\commons-configuration-1.6.jar;C:\Users\akbal\.m2\repository\commons-digester\commons-digester\1.8\commons-digester-1.8.jar;C:\Users\akbal\.m2\repository\commons-beanutils\commons-beanutils\1.7.0\commons-beanutils-1.7.0.jar;C:\Users\akbal\.m2\repository\commons-beanutils\commons-beanutils-core\1.8.0\commons-beanutils-core-1.8.0.jar;C:\Users\akbal\.m2\repository\com\google\protobuf\protobuf-java\2.5.0\protobuf-java-2.5.0.jar;C:\Users\akbal\.m2\repository\com\google\code\gson\gson\2.2.4\gson-2.2.4.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-auth\2.6.5\hadoop-auth-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\directory\server\apacheds-kerberos-codec\2.0.0-M15\apacheds-kerberos-codec-2.0.0-M15.jar;C:\Users\akbal\.m2\repository\org\apache\directory\server\apacheds-i18n\2.0.0-M15\apacheds-i18n-2.0.0-M15.jar;C:\Users\akbal\.m2\repository\org\apache\directory\api\api-asn1-api\1.0.0-M20\api-asn1-api-1.0.0-M20.jar;C:\Users\akbal\.m2\repository\org\apache\directory\api\api-util\1.0.0-M20\api-util-1.0.0-M20.jar;C:\Users\akbal\.m2\repository\org\apache\curator\curator-client\2.6.0\curator-client-2.6.0.jar;C:\Users\akbal\.m2\repository\org\htrace\htrace-core\3.0.4\htrace-core-3.0.4.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-hdfs\2.6.5\hadoop-hdfs-2.6.5.jar;C:\Users\akbal\.m2\repository\org\mortbay\jetty\jetty-util\6.1.26\jetty-util-6.1.26.jar;C:\Users\akbal\.m2\repository\xerces\xercesImpl\2.9.1\xercesImpl-2.9.1.jar;C:\Users\akbal\.m2\repository\xml-apis\xml-apis\1.3.04\xml-apis-1.3.04.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-mapreduce-client-app\2.6.5\hadoop-mapreduce-client-app-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-mapreduce-client-common\2.6.5\hadoop-mapreduce-client-common-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-yarn-client\2.6.5\hadoop-yarn-client-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-yarn-server-common\2.6.5\hadoop-yarn-server-common-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-mapreduce-client-shuffle\2.6.5\hadoop-mapreduce-client-shuffle-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-yarn-api\2.6.5\hadoop-yarn-api-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-mapreduce-client-core\2.6.5\hadoop-mapreduce-client-core-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-yarn-common\2.6.5\hadoop-yarn-common-2.6.5.jar;C:\Users\akbal\.m2\repository\javax\xml\bind\jaxb-api\2.2.2\jaxb-api-2.2.2.jar;C:\Users\akbal\.m2\repository\javax\xml\stream\stax-api\1.0-2\stax-api-1.0-2.jar;C:\Users\akbal\.m2\repository\org\codehaus\jackson\jackson-jaxrs\1.9.13\jackson-jaxrs-1.9.13.jar;C:\Users\akbal\.m2\repository\org\codehaus\jackson\jackson-xc\1.9.13\jackson-xc-1.9.13.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-mapreduce-client-jobclient\2.6.5\hadoop-mapreduce-client-jobclient-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\hadoop\hadoop-annotations\2.6.5\hadoop-annotations-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-launcher_2.11\2.2.0\spark-launcher_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-network-common_2.11\2.2.0\spark-network-common_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\fusesource\leveldbjni\leveldbjni-all\1.8\leveldbjni-all-1.8.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-network-shuffle_2.11\2.2.0\spark-network-shuffle_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-unsafe_2.11\2.2.0\spark-unsafe_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\net\java\dev\jets3t\jets3t\0.9.3\jets3t-0.9.3.jar;C:\Users\akbal\.m2\repository\org\apache\httpcomponents\httpcore\4.3.3\httpcore-4.3.3.jar;C:\Users\akbal\.m2\repository\org\apache\httpcomponents\httpclient\4.3.6\httpclient-4.3.6.jar;C:\Users\akbal\.m2\repository\javax\activation\activation\1.1.1\activation-1.1.1.jar;C:\Users\akbal\.m2\repository\mx4j\mx4j\3.0.2\mx4j-3.0.2.jar;C:\Users\akbal\.m2\repository\javax\mail\mail\1.4.7\mail-1.4.7.jar;C:\Users\akbal\.m2\repository\org\bouncycastle\bcprov-jdk15on\1.51\bcprov-jdk15on-1.51.jar;C:\Users\akbal\.m2\repository\com\jamesmurty\utils\java-xmlbuilder\1.0\java-xmlbuilder-1.0.jar;C:\Users\akbal\.m2\repository\net\iharder\base64\2.3.8\base64-2.3.8.jar;C:\Users\akbal\.m2\repository\org\apache\curator\curator-recipes\2.6.0\curator-recipes-2.6.0.jar;C:\Users\akbal\.m2\repository\org\apache\curator\curator-framework\2.6.0\curator-framework-2.6.0.jar;C:\Users\akbal\.m2\repository\org\apache\zookeeper\zookeeper\3.4.6\zookeeper-3.4.6.jar;C:\Users\akbal\.m2\repository\com\google\guava\guava\16.0.1\guava-16.0.1.jar;C:\Users\akbal\.m2\repository\javax\servlet\javax.servlet-api\3.1.0\javax.servlet-api-3.1.0.jar;C:\Users\akbal\.m2\repository\org\apache\commons\commons-lang3\3.5\commons-lang3-3.5.jar;C:\Users\akbal\.m2\repository\org\apache\commons\commons-math3\3.4.1\commons-math3-3.4.1.jar;C:\Users\akbal\.m2\repository\com\google\code\findbugs\jsr305\1.3.9\jsr305-1.3.9.jar;C:\Users\akbal\.m2\repository\org\slf4j\slf4j-api\1.7.16\slf4j-api-1.7.16.jar;C:\Users\akbal\.m2\repository\org\slf4j\jul-to-slf4j\1.7.16\jul-to-slf4j-1.7.16.jar;C:\Users\akbal\.m2\repository\org\slf4j\jcl-over-slf4j\1.7.16\jcl-over-slf4j-1.7.16.jar;C:\Users\akbal\.m2\repository\log4j\log4j\1.2.17\log4j-1.2.17.jar;C:\Users\akbal\.m2\repository\org\slf4j\slf4j-log4j12\1.7.16\slf4j-log4j12-1.7.16.jar;C:\Users\akbal\.m2\repository\com\ning\compress-lzf\1.0.3\compress-lzf-1.0.3.jar;C:\Users\akbal\.m2\repository\org\xerial\snappy\snappy-java\1.1.2.6\snappy-java-1.1.2.6.jar;C:\Users\akbal\.m2\repository\net\jpountz\lz4\lz4\1.3.0\lz4-1.3.0.jar;C:\Users\akbal\.m2\repository\org\roaringbitmap\RoaringBitmap\0.5.11\RoaringBitmap-0.5.11.jar;C:\Users\akbal\.m2\repository\commons-net\commons-net\2.2\commons-net-2.2.jar;C:\Users\akbal\.m2\repository\org\scala-lang\scala-library\2.11.8\scala-library-2.11.8.jar;C:\Users\akbal\.m2\repository\org\json4s\json4s-jackson_2.11\3.2.11\json4s-jackson_2.11-3.2.11.jar;C:\Users\akbal\.m2\repository\org\json4s\json4s-core_2.11\3.2.11\json4s-core_2.11-3.2.11.jar;C:\Users\akbal\.m2\repository\org\json4s\json4s-ast_2.11\3.2.11\json4s-ast_2.11-3.2.11.jar;C:\Users\akbal\.m2\repository\org\scala-lang\scalap\2.11.0\scalap-2.11.0.jar;C:\Users\akbal\.m2\repository\org\scala-lang\scala-compiler\2.11.0\scala-compiler-2.11.0.jar;C:\Users\akbal\.m2\repository\org\scala-lang\modules\scala-xml_2.11\1.0.1\scala-xml_2.11-1.0.1.jar;C:\Users\akbal\.m2\repository\org\scala-lang\modules\scala-parser-combinators_2.11\1.0.1\scala-parser-combinators_2.11-1.0.1.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\core\jersey-client\2.22.2\jersey-client-2.22.2.jar;C:\Users\akbal\.m2\repository\javax\ws\rs\javax.ws.rs-api\2.0.1\javax.ws.rs-api-2.0.1.jar;C:\Users\akbal\.m2\repository\org\glassfish\hk2\hk2-api\2.4.0-b34\hk2-api-2.4.0-b34.jar;C:\Users\akbal\.m2\repository\org\glassfish\hk2\hk2-utils\2.4.0-b34\hk2-utils-2.4.0-b34.jar;C:\Users\akbal\.m2\repository\org\glassfish\hk2\external\aopalliance-repackaged\2.4.0-b34\aopalliance-repackaged-2.4.0-b34.jar;C:\Users\akbal\.m2\repository\org\glassfish\hk2\external\javax.inject\2.4.0-b34\javax.inject-2.4.0-b34.jar;C:\Users\akbal\.m2\repository\org\glassfish\hk2\hk2-locator\2.4.0-b34\hk2-locator-2.4.0-b34.jar;C:\Users\akbal\.m2\repository\org\javassist\javassist\3.18.1-GA\javassist-3.18.1-GA.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\core\jersey-common\2.22.2\jersey-common-2.22.2.jar;C:\Users\akbal\.m2\repository\javax\annotation\javax.annotation-api\1.2\javax.annotation-api-1.2.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\bundles\repackaged\jersey-guava\2.22.2\jersey-guava-2.22.2.jar;C:\Users\akbal\.m2\repository\org\glassfish\hk2\osgi-resource-locator\1.0.1\osgi-resource-locator-1.0.1.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\core\jersey-server\2.22.2\jersey-server-2.22.2.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\media\jersey-media-jaxb\2.22.2\jersey-media-jaxb-2.22.2.jar;C:\Users\akbal\.m2\repository\javax\validation\validation-api\1.1.0.Final\validation-api-1.1.0.Final.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\containers\jersey-container-servlet\2.22.2\jersey-container-servlet-2.22.2.jar;C:\Users\akbal\.m2\repository\org\glassfish\jersey\containers\jersey-container-servlet-core\2.22.2\jersey-container-servlet-core-2.22.2.jar;C:\Users\akbal\.m2\repository\io\netty\netty-all\4.0.43.Final\netty-all-4.0.43.Final.jar;C:\Users\akbal\.m2\repository\io\netty\netty\3.9.9.Final\netty-3.9.9.Final.jar;C:\Users\akbal\.m2\repository\com\clearspring\analytics\stream\2.7.0\stream-2.7.0.jar;C:\Users\akbal\.m2\repository\io\dropwizard\metrics\metrics-core\3.1.2\metrics-core-3.1.2.jar;C:\Users\akbal\.m2\repository\io\dropwizard\metrics\metrics-jvm\3.1.2\metrics-jvm-3.1.2.jar;C:\Users\akbal\.m2\repository\io\dropwizard\metrics\metrics-json\3.1.2\metrics-json-3.1.2.jar;C:\Users\akbal\.m2\repository\io\dropwizard\metrics\metrics-graphite\3.1.2\metrics-graphite-3.1.2.jar;C:\Users\akbal\.m2\repository\com\fasterxml\jackson\module\jackson-module-scala_2.11\2.6.5\jackson-module-scala_2.11-2.6.5.jar;C:\Users\akbal\.m2\repository\com\fasterxml\jackson\module\jackson-module-paranamer\2.6.5\jackson-module-paranamer-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\ivy\ivy\2.4.0\ivy-2.4.0.jar;C:\Users\akbal\.m2\repository\oro\oro\2.0.8\oro-2.0.8.jar;C:\Users\akbal\.m2\repository\net\razorvine\pyrolite\4.13\pyrolite-4.13.jar;C:\Users\akbal\.m2\repository\net\sf\py4j\py4j\0.10.4\py4j-0.10.4.jar;C:\Users\akbal\.m2\repository\org\apache\commons\commons-crypto\1.0.0\commons-crypto-1.0.0.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-catalyst_2.11\2.2.0\spark-catalyst_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\scala-lang\scala-reflect\2.11.8\scala-reflect-2.11.8.jar;C:\Users\akbal\.m2\repository\org\codehaus\janino\janino\3.0.0\janino-3.0.0.jar;C:\Users\akbal\.m2\repository\org\codehaus\janino\commons-compiler\3.0.0\commons-compiler-3.0.0.jar;C:\Users\akbal\.m2\repository\org\antlr\antlr4-runtime\4.5.3\antlr4-runtime-4.5.3.jar;C:\Users\akbal\.m2\repository\commons-codec\commons-codec\1.10\commons-codec-1.10.jar;C:\Users\akbal\.m2\repository\org\apache\spark\spark-tags_2.11\2.2.0\spark-tags_2.11-2.2.0.jar;C:\Users\akbal\.m2\repository\org\apache\parquet\parquet-column\1.8.2\parquet-column-1.8.2.jar;C:\Users\akbal\.m2\repository\org\apache\parquet\parquet-common\1.8.2\parquet-common-1.8.2.jar;C:\Users\akbal\.m2\repository\org\apache\parquet\parquet-encoding\1.8.2\parquet-encoding-1.8.2.jar;C:\Users\akbal\.m2\repository\org\apache\parquet\parquet-hadoop\1.8.2\parquet-hadoop-1.8.2.jar;C:\Users\akbal\.m2\repository\org\apache\parquet\parquet-format\2.3.1\parquet-format-2.3.1.jar;C:\Users\akbal\.m2\repository\org\apache\parquet\parquet-jackson\1.8.2\parquet-jackson-1.8.2.jar;C:\Users\akbal\.m2\repository\org\codehaus\jackson\jackson-mapper-asl\1.9.11\jackson-mapper-asl-1.9.11.jar;C:\Users\akbal\.m2\repository\org\codehaus\jackson\jackson-core-asl\1.9.11\jackson-core-asl-1.9.11.jar;C:\Users\akbal\.m2\repository\com\fasterxml\jackson\core\jackson-databind\2.6.5\jackson-databind-2.6.5.jar;C:\Users\akbal\.m2\repository\com\fasterxml\jackson\core\jackson-annotations\2.6.0\jackson-annotations-2.6.0.jar;C:\Users\akbal\.m2\repository\com\fasterxml\jackson\core\jackson-core\2.6.5\jackson-core-2.6.5.jar;C:\Users\akbal\.m2\repository\org\apache\xbean\xbean-asm5-shaded\4.4\xbean-asm5-shaded-4.4.jar;C:\Users\akbal\.m2\repository\org\spark-project\spark\unused\1.0.0\unused-1.0.0.jar" Spark_Hadoop.S_H_Entegrasyonu Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 20/04/21 18:19:01 INFO SparkContext: Running Spark version 2.2.0 20/04/21 18:19:01 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 20/04/21 18:19:02 INFO SparkContext: Submitted application: ForthSql 20/04/21 18:19:02 INFO SecurityManager: Changing view acls to: akbal 20/04/21 18:19:02 INFO SecurityManager: Changing modify acls to: akbal 20/04/21 18:19:02 INFO SecurityManager: Changing view acls groups to: 20/04/21 18:19:02 INFO SecurityManager: Changing modify acls groups to: 20/04/21 18:19:02 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(akbal); groups with view permissions: Set(); users with modify permissions: Set(akbal); groups with modify permissions: Set() 20/04/21 18:19:02 INFO Utils: Successfully started service 'sparkDriver' on port 49985. 20/04/21 18:19:02 INFO SparkEnv: Registering MapOutputTracker 20/04/21 18:19:02 INFO SparkEnv: Registering BlockManagerMaster 20/04/21 18:19:02 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 20/04/21 18:19:02 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 20/04/21 18:19:02 INFO DiskBlockManager: Created local directory at C:\Users\akbal\AppData\Local\Temp\blockmgr-75767e6a-a4ed-43d6-8fd9-13a5b84b0371 20/04/21 18:19:02 INFO MemoryStore: MemoryStore started with capacity 1447.8 MB 20/04/21 18:19:02 INFO SparkEnv: Registering OutputCommitCoordinator 20/04/21 18:19:03 INFO Utils: Successfully started service 'SparkUI' on port 4040. 20/04/21 18:19:03 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.56.1:4040 20/04/21 18:19:03 INFO Executor: Starting executor ID driver on host localhost 20/04/21 18:19:03 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 49995. 20/04/21 18:19:03 INFO NettyBlockTransferService: Server created on 192.168.56.1:49995 20/04/21 18:19:03 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 20/04/21 18:19:03 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.56.1, 49995, None) 20/04/21 18:19:03 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.56.1:49995 with 1447.8 MB RAM, BlockManagerId(driver, 192.168.56.1, 49995, None) 20/04/21 18:19:03 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.56.1, 49995, None) 20/04/21 18:19:03 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, 192.168.56.1, 49995, None) 20/04/21 18:19:03 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('file:/C:/Users/akbal/IdeaProjects/Spark%20Sql/spark-warehouse'). 20/04/21 18:19:03 INFO SharedState: Warehouse path is 'file:/C:/Users/akbal/IdeaProjects/Spark%20Sql/spark-warehouse'. 20/04/21 18:19:05 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint 20/04/21 18:19:07 INFO FileSourceStrategy: Pruning directories with: 20/04/21 18:19:07 INFO FileSourceStrategy: Post-Scan Filters: (length(trim(value#0)) > 0) 20/04/21 18:19:07 INFO FileSourceStrategy: Output Data Schema: struct<value: string> 20/04/21 18:19:07 INFO FileSourceScanExec: Pushed Filters: 20/04/21 18:19:08 INFO CodeGenerator: Code generated in 245.4864 ms 20/04/21 18:19:08 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 219.6 KB, free 1447.6 MB) 20/04/21 18:19:08 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 20.6 KB, free 1447.6 MB) 20/04/21 18:19:08 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.56.1:49995 (size: 20.6 KB, free: 1447.8 MB) 20/04/21 18:19:08 INFO SparkContext: Created broadcast 0 from csv at S_H_Entegrasyonu.java:15 20/04/21 18:19:08 INFO FileSourceScanExec: Planning scan with bin packing, max size: 6632570 bytes, open cost is considered as scanning 4194304 bytes. 20/04/21 18:19:08 INFO SparkContext: Starting job: csv at S_H_Entegrasyonu.java:15 20/04/21 18:19:08 INFO DAGScheduler: Got job 0 (csv at S_H_Entegrasyonu.java:15) with 1 output partitions 20/04/21 18:19:08 INFO DAGScheduler: Final stage: ResultStage 0 (csv at S_H_Entegrasyonu.java:15) 20/04/21 18:19:08 INFO DAGScheduler: Parents of final stage: List() 20/04/21 18:19:08 INFO DAGScheduler: Missing parents: List() 20/04/21 18:19:08 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[2] at csv at S_H_Entegrasyonu.java:15), which has no missing parents 20/04/21 18:19:08 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 8.2 KB, free 1447.6 MB) 20/04/21 18:19:08 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 4.3 KB, free 1447.6 MB) 20/04/21 18:19:08 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.56.1:49995 (size: 4.3 KB, free: 1447.8 MB) 20/04/21 18:19:08 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1006 20/04/21 18:19:08 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[2] at csv at S_H_Entegrasyonu.java:15) (first 15 tasks are for partitions Vector(0)) 20/04/21 18:19:08 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 20/04/21 18:19:08 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, executor driver, partition 0, ANY, 5275 bytes) 20/04/21 18:19:08 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 20/04/21 18:19:09 INFO FileScanRDD: Reading File path: hdfs://localhost:8020/data/ratings.csv, range: 0-2438266, partition values: [empty row] 20/04/21 18:19:09 INFO CodeGenerator: Code generated in 21.8369 ms 20/04/21 18:19:30 WARN BlockReaderFactory: I/O error constructing remote block reader. java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:19:30 WARN DFSClient: Failed to connect to /10.0.2.15:50010 for block, add to deadNodes and continue. java.net.ConnectException: Connection timed out: no further information java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:19:30 INFO DFSClient: Could not obtain BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 from any node: java.io.IOException: No live nodes contain block BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 after checking nodes = [10.0.2.15:50010], ignoredNodes = null No live nodes contain current block Block locations: 10.0.2.15:50010 Dead nodes: 10.0.2.15:50010. Will get new block locations from namenode and retry... 20/04/21 18:19:30 WARN DFSClient: DFS chooseDataNode: got # 1 IOException, will wait for 520.1752644656475 msec. 20/04/21 18:19:51 WARN BlockReaderFactory: I/O error constructing remote block reader. java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:19:51 WARN DFSClient: Failed to connect to /10.0.2.15:50010 for block, add to deadNodes and continue. java.net.ConnectException: Connection timed out: no further information java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:19:51 INFO DFSClient: Could not obtain BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 from any node: java.io.IOException: No live nodes contain block BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 after checking nodes = [10.0.2.15:50010], ignoredNodes = null No live nodes contain current block Block locations: 10.0.2.15:50010 Dead nodes: 10.0.2.15:50010. Will get new block locations from namenode and retry... 20/04/21 18:19:51 WARN DFSClient: DFS chooseDataNode: got # 2 IOException, will wait for 5936.406006236115 msec. 20/04/21 18:20:18 WARN BlockReaderFactory: I/O error constructing remote block reader. java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:18 WARN DFSClient: Failed to connect to /10.0.2.15:50010 for block, add to deadNodes and continue. java.net.ConnectException: Connection timed out: no further information java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:18 INFO DFSClient: Could not obtain BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 from any node: java.io.IOException: No live nodes contain block BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 after checking nodes = [10.0.2.15:50010], ignoredNodes = null No live nodes contain current block Block locations: 10.0.2.15:50010 Dead nodes: 10.0.2.15:50010. Will get new block locations from namenode and retry... 20/04/21 18:20:18 WARN DFSClient: DFS chooseDataNode: got # 3 IOException, will wait for 10601.599589860469 msec. 20/04/21 18:20:50 WARN BlockReaderFactory: I/O error constructing remote block reader. java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:50 WARN DFSClient: Failed to connect to /10.0.2.15:50010 for block, add to deadNodes and continue. java.net.ConnectException: Connection timed out: no further information java.net.ConnectException: Connection timed out: no further information at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530) at org.apache.hadoop.hdfs.DFSClient.newConnectedPeer(DFSClient.java:3090) at org.apache.hadoop.hdfs.BlockReaderFactory.nextTcpPeer(BlockReaderFactory.java:778) at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:693) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:354) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:617) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:50 WARN DFSClient: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv No live nodes contain current block Block locations: 10.0.2.15:50010 Dead nodes: 10.0.2.15:50010. Throwing a BlockMissingException 20/04/21 18:20:50 WARN DFSClient: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv No live nodes contain current block Block locations: 10.0.2.15:50010 Dead nodes: 10.0.2.15:50010. Throwing a BlockMissingException 20/04/21 18:20:50 WARN DFSClient: DFS Read org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv at org.apache.hadoop.hdfs.DFSInputStream.chooseDataNode(DFSInputStream.java:930) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:609) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:50 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv at org.apache.hadoop.hdfs.DFSInputStream.chooseDataNode(DFSInputStream.java:930) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:609) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:50 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv at org.apache.hadoop.hdfs.DFSInputStream.chooseDataNode(DFSInputStream.java:930) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:609) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:50 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job 20/04/21 18:20:50 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 20/04/21 18:20:50 INFO TaskSchedulerImpl: Cancelling stage 0 20/04/21 18:20:50 INFO DAGScheduler: ResultStage 0 (csv at S_H_Entegrasyonu.java:15) failed in 101,409 s due to Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv at org.apache.hadoop.hdfs.DFSInputStream.chooseDataNode(DFSInputStream.java:930) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:609) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Driver stacktrace: 20/04/21 18:20:50 INFO DAGScheduler: Job 0 failed: csv at S_H_Entegrasyonu.java:15, took 101,557508 s Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv at org.apache.hadoop.hdfs.DFSInputStream.chooseDataNode(DFSInputStream.java:930) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:609) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:336) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38) at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2853) at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153) at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153) at org.apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2837) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2836) at org.apache.spark.sql.Dataset.head(Dataset.scala:2153) at org.apache.spark.sql.Dataset.take(Dataset.scala:2366) at org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.infer(CSVDataSource.scala:147) at org.apache.spark.sql.execution.datasources.csv.CSVDataSource.inferSchema(CSVDataSource.scala:62) at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:57) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:177) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:177) at scala.Option.orElse(Option.scala:289) at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:176) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:366) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178) at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:533) at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:412) at Spark_Hadoop.S_H_Entegrasyonu.main(S_H_Entegrasyonu.java:15) Caused by: org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1067413441-127.0.0.1-1508775264580:blk_1073743149_2345 file=/data/ratings.csv at org.apache.hadoop.hdfs.DFSInputStream.chooseDataNode(DFSInputStream.java:930) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:609) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:841) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:889) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.fillBuffer(UncompressedSplitLineReader.java:62) at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) at org.apache.hadoop.mapreduce.lib.input.UncompressedSplitLineReader.readLine(UncompressedSplitLineReader.java:94) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.skipUtfByteOrderMark(LineRecordReader.java:144) at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:184) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/04/21 18:20:50 INFO SparkContext: Invoking stop() from shutdown hook 20/04/21 18:20:50 INFO SparkUI: Stopped Spark web UI at http://192.168.56.1:4040 20/04/21 18:20:50 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 20/04/21 18:20:50 INFO MemoryStore: MemoryStore cleared 20/04/21 18:20:50 INFO BlockManager: BlockManager stopped 20/04/21 18:20:50 INFO BlockManagerMaster: BlockManagerMaster stopped 20/04/21 18:20:50 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 20/04/21 18:20:50 INFO SparkContext: Successfully stopped SparkContext 20/04/21 18:20:50 INFO ShutdownHookManager: Shutdown hook called 20/04/21 18:20:50 INFO ShutdownHookManager: Deleting directory C:\Users\akbal\AppData\Local\Temp\spark-4017e9a8-1e29-4fba-9a82-2a10e0a03753 Process finished with exit code 1 ... 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