I have a spark job running on AWS EMR cluster, it need access native lib(*.so), per spark's document (https://spark.apache.org/docs/2.3.0/configuration.html) I need add "spark.driver.extraLibraryPath" and "spark.executor.extraLibraryPath" options in spark-submit command line
spark-submit \
--class test.Clustering \
--conf spark.executor.extraLibraryPath="/opt/test/lib/native" \
--conf spark.driver.extraLibraryPath="/opt/test/lib/native" \
--master yarn \
--deploy-mode client \
s3-etl-prepare-1.0-SNAPSHOT-jar-with-dependencies.jar "$#"
It works as I expected, native lib is loaded, the problem is: during spark job I need doing a distribute lzo indexer MR job which need lzo native library, the lzo code could not load the native gpl library:
21/06/16 09:49:09 ERROR GPLNativeCodeLoader: Could not load native gpl library
java.lang.UnsatisfiedLinkError: no gplcompression in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1860)
at java.lang.Runtime.loadLibrary0(Runtime.java:870)
at java.lang.System.loadLibrary(System.java:1124)
at com.hadoop.compression.lzo.GPLNativeCodeLoader.<clinit>(GPLNativeCodeLoader.java:32)
at com.hadoop.compression.lzo.LzoCodec.<clinit>(LzoCodec.java:71)
at com.hadoop.compression.lzo.DistributedLzoIndexer.<init>(DistributedLzoIndexer.java:28)
at test.misc.FileHelper.distributIndexLzoFile(FileHelper.scala:260)
at test.scalaapp.Clustering$.main(Clustering.scala:66)
at test.scalaapp.Clustering.main(Clustering.scala)
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 org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:853)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:928)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:937)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
it seems "spark.driver.extraLibraryPath" option override or change the whole library path rather than append a new one, how can I keep both gpl lzo native path and my own library path?
Related
Version Apache Hudi 0.6.1,Spark 2.4.6
Below is the standard spark-submit command for Hudi deltastreamer, where it is throwing as no main parameter is defined. I could see all the properties parameters are given. Appreciate any help on this error.
[hadoop#ip-00-00-00-00 target]$ spark-submit --class org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer 'ls /mnt/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.6.1-SNAPSHOT.jar' --master yarn --deploy-mode client --storage-type COPY_ON_WRITE --source-class org.apache.hudi.utilities.sources.JsonKafkaSource --source-ordering-field ts --target-base-path /user/hive/warehouse/stock_ticks_cow --target-table stock_ticks_cow --props /var/demo/config/kafka-source.properties --schemaprovider-class org.apache.hudi.utilities.schema.FilebasedSchemaProvider
20/09/08 05:14:46 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Exception in thread "main" org.apache.hudi.com.beust.jcommander.ParameterException: Was passed main parameter '--master' but no main parameter was defined in your arg class
at org.apache.hudi.com.beust.jcommander.JCommander.initMainParameterValue(JCommander.java:936)
at org.apache.hudi.com.beust.jcommander.JCommander.parseValues(JCommander.java:752)
at org.apache.hudi.com.beust.jcommander.JCommander.parse(JCommander.java:340)
at org.apache.hudi.com.beust.jcommander.JCommander.parse(JCommander.java:319)
at org.apache.hudi.com.beust.jcommander.JCommander.<init>(JCommander.java:240)
at org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.getConfig(HoodieDeltaStreamer.java:445)
at org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.main(HoodieDeltaStreamer.java:454)
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 org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
20/09/08 05:14:46 INFO util.ShutdownHookManager: Shutdown hook called
20/09/08 05:14:46 INFO util.ShutdownHookManager: Deleting directory /mnt/tmp/spark-3ad6af85-94be-4117-a479-53423a91fd75
I think it is the way the parms of spark-submit and class is conflicting, so I followed the order as given below and it worked
spark-submit \
--jars "/mnt/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.6.1-SNAPSHOT.jar" \
--deploy-mode "client" \
--class "org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer" \
/mnt/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.6.1-SNAPSHOT.jar \
--props /var/demo/config/kafka-source.properties \
--table-type COPY_ON_WRITE \
--source-class org.apache.hudi.utilities.sources.JsonKafkaSource \
--source-ordering-field ts \
--target-base-path /user/hive/warehouse/stock_ticks_cow \
--target-table stock_ticks_cow \
--schemaprovider-class org.apache.hudi.utilities.schema.FilebasedSchemaProvider
I am trying to run a spark job in standalone mode but the command is not picking up the jar from HDFS.The jar is present in the HDFS location and Its working fine when I run it in local mode.
Below is the command I am using
spark-submit --deploy-mode client --master yarn --class com.main.WordCount /spark/wc.jar
Below is my program:
val conf = new SparkConf().setAppName("WordCount").setMaster("yarn")
val spark = new SparkContext(conf)
val file = spark.textFile(args(0))
val count = file.flatMap(f=>f.split(" ")).map(word=>(word,1)).reduceByKey(_+_).collect
count.foreach(println)
And I am getting below error:
Warning: Local jar /spark/wc.jar does not exist, skipping.
java.lang.ClassNotFoundException: com.main.WordCount
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.util.Utils$.classForName(Utils.scala:228)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:693)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
But If i use deploy mode cluster I am getting below error:
Exception in thread "main" java.io.FileNotFoundException: File file:/spark/wc.jar does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:337)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:289)
at org.apache.spark.deploy.yarn.Client.copyFileToRemote(Client.scala:340)
at org.apache.spark.deploy.yarn.Client.org$apache$spark$deploy$yarn$Client$$distribute$1(Client.scala:433)
at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$10.apply(Client.scala:530)
at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$10.apply(Client.scala:529)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:529)
at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:834)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:167)
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1119)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1178)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
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 org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Could you please clarify what is local mode. There are only two deploy mode client and cluster, the only difference is in client mode Driver program will run on the system and in cluster mode driver program will run from random node in the cluster.
For spark submit command:
When you execute spark submit command spark will pull all the local resources/files defined with --files , --py-files argument as well as Spark Main Jar to temporary HDFS location/directory, which is created by that particular spark application with the application name. when you give HDFS location, it will fail to location the Jar on local machine. It is mandatory to keep the Jar on local.
I'm trying to deploy a spark streaming consuming Kafka topic job on a standalone spark cluster using the following command:
./bin/spark-submit --class MaxwellCdc.MaxwellSreaming
~/cdc/cdc_2.11-0.1.jar --jars ~/cdc/kafka_2.11-0.10.0.1.jar,
~/cdc/kafka-clients-0.10.0.1.jar,~/cdc/mysql-connector-java-5.1.12.jar,
~/cdc/spark-streaming-kafka-0-10_2.11-2.2.1.jar
and getting this exception:
Exception in thread "main" java.lang.NoClassDefFoundError:
org/apache/kafka/common/serialization/StringDeserializer
at MaxwellCdc.MaxwellSreaming$.main(MaxwellSreaming.scala:30)
at MaxwellCdc.MaxwellSreaming.main(MaxwellSreaming.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException:
org.apache.kafka.common.serialization.StringDeserializer
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
Any help would be appreciated.
Quoting from the documentation:
When using spark-submit, the application jar along with any jars
included with the --jars option will be automatically transferred to
the cluster. URLs supplied after --jars must be separated by commas.
That list is included in the driver and executor classpaths.
Directory expansion does not work with --jars..
What is directory expansion?
Expanding a file name means converting a relative file name to an absolute one. Since this is done relative to a default directory, you must specify the default directory name as well as the file name to be expanded. It also involves expanding abbreviations like ~/.
Therefore, try providing the absolute path for all the jars that are being provided with --jars option. I hope this helps.
I am using the following command to submit Spark job, I hope to send jar and config files to each executor and load it there
spark-submit --verbose \
--files=/tmp/metrics.properties \
--jars /tmp/datainsights-metrics-source-assembly-1.0.jar \
--total-executor-cores 4\
--conf "spark.metrics.conf=metrics.properties" \
--conf "spark.executor.extraClassPath=datainsights-metrics-source-assembly-1.0.jar" \
--class org.microsoft.ofe.datainsights.StartServiceSignalPipeline \
./target/datainsights-1.0-jar-with-dependencies.jar
--files and --jars is used to send files to executors, I found that the files are sent to the working directory of executor like 'worker/app-xxxxx-xxxx/0/
But when job is running, the executor always throws exception saying that it could not find the file 'metrics.properties'or the class which is contained in 'datainsights-metrics-source-assembly-1.0.jar'. It seems that the job is looking for files under another dir rather than working directory.
Do you know how to load the file which is sent to executors?
Here is the trace (The class 'org.apache.spark.metrics.PerfCounterSource' is contained in the jar 'datainsights-metrics-source-assembly-1.0.jar'):
ERROR 2016-01-14 16:10:32 Logging.scala:96 - org.apache.spark.metrics.MetricsSystem: Source class org.apache.spark.metrics.PerfCounterSource cannot be instantiated
java.lang.ClassNotFoundException: org.apache.spark.metrics.PerfCounterSource
at java.net.URLClassLoader$1.run(URLClassLoader.java:366) ~[na:1.7.0_80]
at java.net.URLClassLoader$1.run(URLClassLoader.java:355) ~[na:1.7.0_80]
at java.security.AccessController.doPrivileged(Native Method) [na:1.7.0_80]
at java.net.URLClassLoader.findClass(URLClassLoader.java:354) ~[na:1.7.0_80]
at java.lang.ClassLoader.loadClass(ClassLoader.java:425) ~[na:1.7.0_80]
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) ~[na:1.7.0_80]
at java.lang.ClassLoader.loadClass(ClassLoader.java:358) ~[na:1.7.0_80]
at java.lang.Class.forName0(Native Method) ~[na:1.7.0_80]
at java.lang.Class.forName(Class.java:195) ~[na:1.7.0_80]
It looks like you have a typo in your --jars argument, so it could be that it's not actually loading the file and and continuing silently.
Trying to read all rows from a DB table and write the same to another empty target table. So when I issue the following command at the main node, it works as expected -
$./bin/spark-submit --class cs.TestJob_publisherstarget --driver-class-path ./lib/mysql-connector-java-5.1.35-bin.jar --jars ./lib/mysql-connector-java-5.1.35-bin.jar,./lib/univocity-parsers-1.5.6.jar,./lib/commons-csv-1.1.1-SNAPSHOT.jar ./lib/uber-ski-spark-job-0.0.1-SNAPSHOT.jar
(Where: uber-ski-spark-job-0.0.1-SNAPSHOT.jar is the packaged jar in ../spark/lib folder and cs.TestJob_publisherstarget is the class)
The above command works perfectly for the code and reads all rows from a table in MySQL and dumps all roes to target table, using the JDBC driver mentioned with --jars option.
Here is the issue:
Everything remaining the same as above, when I submit the same job to YARN, it fails with en exception indicating - can't find the driver
$./bin/spark-submit --verbose --class cs.TestJob_publisherstarget --master yarn-cluster --driver-class-path ./lib/mysql-connector-java-5.1.35-bin.jar --jars ./lib/mysql-connector-java-5.1.35-bin.jar ./lib/uber-ski-spark-job-0.0.1-SNAPSHOT.jar
Exception in YARN Console:
Error: application failed with exception
org.apache.spark.SparkException: Application finished with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:625)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:650)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:577)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:174)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:197)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
EXCEPTION AT LOG:
5/10/12 20:38:59 ERROR yarn.ApplicationMaster: User class threw exception: No suitable driver found for jdbc:mysql://localhost:3306/pubs?user=root&password=root
java.sql.SQLException: No suitable driver found for jdbc:mysql://localhost:3306/pubs?user=root&password=root
at java.sql.DriverManager.getConnection(DriverManager.java:596)
at java.sql.DriverManager.getConnection(DriverManager.java:187)
at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:96)
at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:133)
at org.apache.spark.sql.jdbc.DefaultSource.createRelation(JDBCRelation.scala:121)
at org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:219)
at org.apache.spark.sql.SQLContext.load(SQLContext.scala:697)
at com.cambridgesemantics.application.sdi.compiler.spark.DataSource.getDataFrame(DataSource.scala:20)
at cs.TestJob_publisherstarget$.main(TestJob_publisherstarget.scala:29)
at cs.TestJob_publisherstarget.main(TestJob_publisherstarget.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:484)
15/10/12 20:38:59 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw exception: No suitable driver found for jdbc:mysql://localhost:3306/pubs?user=root&password=root)
Anyway: Where am I supposed to put the JDBC driver jar file? I have copied it over to the lib of each child node, still no luck!
I was having the same issue, it was working in local mode but not in yarn-client.
I added to spark submit:
--conf "spark.executor.extraClassPath=/path/to/mysql-connector-java-5.1.34.jar
and that worked for me
For Spark 1.6, I have the issue to store DataFrame to Oracle by using org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils.saveTable
In yarn-cluster mode, I put these options in the submit script:
--conf "spark.driver.extraClassPath=$HOME/jdbc-11.2.0.3.0.jar" \
--conf "spark.executor.extraClassPath=$HOME/jdbc-11.2.0.3.0.jar" \
I also have to put Class.forName("..") like below before the saving line:
try {
Class.forName("oracle.jdbc.OracleDriver");
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils.saveTable(ds, url, "RD_SPARK_DTL_INCL_HY ", p);
} catch (Exception e) {....
Of course, you have to copy the lib to each node. Not pretty, but it works. Hope someone can come up better solution later.
I do strongly recommend to use this API -- amazingly convenient and fast.