Apache Spark - Unable to read data from MS Access tables into Spark dataset - apache-spark

When I try to read .accdb data into my spark dataset I am getting
Exception in thread "main" java.lang.NoClassDefFoundError: Could not initialize class net.ucanaccess.jdbc.UcanaccessDriver
at java.base/java.lang.Class.forName0(Native Method)
at java.base/java.lang.Class.forName(Class.java:398)
at java.sql/java.sql.DriverManager.isDriverAllowed(DriverManager.java:555)
at java.sql/java.sql.DriverManager.isDriverAllowed(DriverManager.java:547)
at java.sql/java.sql.DriverManager.getDriver(DriverManager.java:280)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.$anonfun$driverClass$2(JDBCOptions.scala:105)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:105)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:35)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:167)
at business.extract.DataExtractorImpl.loadFromAccessTable(DataExtractorImpl.java:62)
at application.Orchestrator.initializeJob(Orchestrator.java:52)
at application.ETLEngine.main(ETLEngine.java:15)
Here is my code:
//DataExtractorImpl.java
public Dataset<Row> loadFromAccessTable(String url, String tableName) throws IOException, CustomValidationException {
return ETLContext.getETLContext().getSession()
.read()
.format("jdbc")
.option("URL", "jdbc:ucanaccess://C:/Users/KE926ES/Documents/db/Creditcard_default.accdb")
.option("dbtable", "CC_SOURCE_1")
.load();
I have the following jars
ucanaccess-5.0.0.jar
jackcess-3.0.1.jar
commons-lang3-3.10.jar
commons-logging-1.2.jar
I also tried adding the following to the options list
.option("driver", "net.ucanaccess.jdbc.UcanaccessDriver")

Libraries might not be available in class path or fat jar.
Try to pass required jars to your application using spark-submit like below.
spark-submit --conf spark.driver.extraClassPath=ucanaccess-5.0.0.jar:jackcess-3.0.1.jar:commons-lang3-3.10.jar:commons-logging-1.2.jar --conf spark.executor.extraClassPath=ucanaccess-5.0.0.jar:jackcess-3.0.1.jar:commons-lang3-3.10.jar:commons-logging-1.2.jar
Also If you are running application from IDE, Check those jars are added properly to your class path or not.

Related

pyspark connection to MariaDB fails with ClassNotFoundException

I'm trying to retrieve data from MariaDB with pyspark.
I created spark_session with configuration to include jdbc jar file, but couldn't solve problem. Current code to create session looks like below.
path = "hdfs://nameservice1/user/PATH/TO/JDBC/mariadb-java-client-2.7.1.jar"
# or path = "/home/PATH/TO/JDBC/mariadb-java-client-2.7.1.jar"
spark = SparkSession.config("spark.jars", path)\
.config("spark.driver.extraClassPath", path)\
.config("spark.executor.extraClassPath", path)\
.enableHiveSupport()
.getOrCreate()
Note that I've tried every case of configuration I know
(Check Permission, change directory both hdfs or local, add or remove configuration ...)
And then, code to load data is.
sql = "SOME_SQL_TO_RETRIEVE_DATA"
spark = spark.read.format('jdbc').option('dbtable', sql)
.option('url', 'jdbc:mariadb://{host}:{port}/{db}')\
.option("user", SOME_USER)
.option("password", SOME_PASSWORD)
.option("driver", 'org.mariadb.jdbc.Driver')
.load()
But it fails with java.lang.ClassNotFoundException: org.mariadb.jdbc.Driver
When I tried this with spark-submit, I saw log message.
... INFO SparkContext: Added Jar /PATH/TO/JDBC/mariadb-java-client-2.7.1.jar at spark://SOME_PATH/jars/mariadb-java-client-2.7.1.jar with timestamp SOME_TIMESTAMP
What is wrong?
For anyone who suffers from same problem.
I figured out. Spark Document says that
Note: In client mode, this config must not be set through the SparkConf directly in your application, because the driver JVM has already started at that point. Instead, please set this through the --driver-class-path command line option or in your default properties file.
So instead setting configuration on python code, I added arguments on spark-submit following this document.
spark-submit {other arguments ...} \
--driver-class-path PATH/TO/JDBC/my-jdbc.jar \
--jars PATH/TO/JDBC/my-jdbc.jar \
MY_PYTHON_SCRIPT.py

Reading data from S3 using pyspark throws java.lang.NumberFormatException: For input string: "100M"

I am using the following code to read some json data from S3:
df = spark_sql_context.read.json("s3a://test_bucket/test.json")
df.show()
The above code throws the following exception:
py4j.protocol.Py4JJavaError: An error occurred while calling o64.json.
: java.lang.NumberFormatException: For input string: "100M"
at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
at java.lang.Long.parseLong(Long.java:589)
at java.lang.Long.parseLong(Long.java:631)
at org.apache.hadoop.conf.Configuration.getLong(Configuration.java:1538)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:248)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3303)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:124)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3352)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3320)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:479)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:361)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:547)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:545)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:355)
at org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary(DataSource.scala:545)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:359)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:391)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
I have read several other SO posts on this topic (like this one or this) and have done all they have mentioned but nothing seems to fix my issue.
I am using spark-2.4.4-bin-without-hadoop and hadoop-3.1.2. As for the jar files, I've got:
aws-java-sdk-bundle-1.11.199.jar
hadoop-aws-3.0.0.jar
hadoop-common-3.0.0.jar
Also, using the following spark-submit command to run the code:
/opt/spark-2.4.4-bin-without-hadoop/bin/spark-submit
--conf spark.app.name=read_json --master yarn --deploy-mode client --num-executors 2
--executor-cores 2 --executor-memory 2G --driver-cores 2 --driver-memory 1G
--jars /home/my_project/jars/aws-java-sdk-bundle-1.11.199.jar,
/home/my_project/jars/hadoop-aws-3.0.0.jar,/home/my_project/jars/hadoop-common-3.0.0.jar
--conf "spark.serializer=org.apache.spark.serializer.KryoSerializer" --conf "spark.rpc.askTimeout=600s" /home/my_project/read_json.py
Anything I might be missing here?
From the stack trace the error is thrown when it's trying to read one of the configuration options, so the issue is with one of the default configuration options that now require numeric format.
In my case the error was resolved after I added the following configuration parameter to the spark-submit command:
--conf fs.s3a.multipart.size=104857600
See Tuning S3A Uploads.
I am posting what I ended up doing to fix the issue for anyone who might see the same exception:
I added hadoop-aws to HADOOP_OPTIONAL_TOOLS in hadoop-env.sh. I also removed all configurations in spark for s3a except the access/secret and everything worked. My code before the changes:
# Setup the Spark Process
conf = SparkConf() \
.setAppName(app_name) \
.set("spark.hadoop.mapred.output.compress", "true") \
.set("spark.hadoop.mapred.output.compression.codec", "true") \
.set("spark.hadoop.mapred.output.compression.codec", "org.apache.hadoop.io.compress.GzipCodec") \
.set("spark.hadoop.mapred.output.compression.`type", "BLOCK") \
.set("spark.speculation", "false")\
.set("fs.s3a.aws.credentials.provider", "org.apache.hadoop.fs.s3a.BasicAWSCredentialsProvider")\
.set("com.amazonaws.services.s3.enableV4", "true")
# Some other configs
spark_context._jsc.hadoopConfiguration().set(
"fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem"
)
spark_context._jsc.hadoopConfiguration().set(
"fs.s3a.access.key", s3_key
)
spark_context._jsc.hadoopConfiguration().set(
"fs.s3a.secret.key", s3_secret
)
spark_context._jsc.hadoopConfiguration().set(
"fs.s3a.multipart.size", "104857600"
)
And after:
# Setup the Spark Process
conf = SparkConf() \
.setAppName(app_name) \
.set("spark.hadoop.mapred.output.compress", "true") \
.set("spark.hadoop.mapred.output.compression.codec", "true") \
.set("spark.hadoop.mapred.output.compression.codec", "org.apache.hadoop.io.compress.GzipCodec") \
.set("spark.hadoop.mapred.output.compression.`type", "BLOCK") \
.set("spark.speculation", "false")
# Some other configs
spark_context._jsc.hadoopConfiguration().set(
"fs.s3a.access.key", s3_key
)
spark_context._jsc.hadoopConfiguration().set(
"fs.s3a.secret.key", s3_secret
)
That probably means that it was a class path issue. The hadoop-aws wasn't getting added to the class path and so under the covers it was defaulting to some other implementation of S3AFileSystem.java. Hadoop and spark are a huge pain in this area because there are so many different places and ways to load things and java is particular about the order as well because if it doesn't happen in the right order, it will just go with whatever was loaded last. Hope this helps others facing the same issue.

Can't setup spark application with spark-atlas-connector

Can't setup my spark application with apache atlas via spark-atlas-connector .
I had clone https://github.com/hortonworks-spark/spark-atlas-connector project and executed mvn package. Then I put all jars in my project and setup config like this:
def main(args: Array[String]): Unit = {
val sparkConf = new SparkConf()
.setAppName("atlas-test")
.setMaster("local[2]")
.set("spark.extraListeners", "com.hortonworks.spark.atlas.SparkAtlasEventTracker")
.set("spark.sql.queryExecutionListeners", "com.hortonworks.spark.atlas.SparkAtlasEventTracker")
.set("spark.sql.streaming.streamingQueryListeners", "com.hortonworks.spark.atlas.SparkAtlasStreamingQueryEventTracker")
val spark = SparkSession.builder()
.config(sparkConf)
.enableHiveSupport()
.getOrCreate()
import spark.implicits._
val df = spark.read.format("kafka")
.option("kafka.bootstrap.servers", BROKER_SERVERS)
.option("subscribe", "foobar")
.option("startingOffset", "earliest")
.load()
df.show()
df.write
.format("kafka")
.option("kafka.bootstrap.servers", BROKER_SERVERS)
.option("topic", "foobar-out")
.save()
}
Atlas is started via docker container which I pulled.
Kafka with Zookeper are stared via docker container which I pulled too.
The job works without spark-atlas-connector but when I want to add a connector it throws exceptions.
19/08/09 16:40:16 ERROR SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Exception when registering SparkListener
at org.apache.spark.SparkContext.setupAndStartListenerBus(SparkContext.scala:2398)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:555)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2520)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:935)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:926)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:926)
at Boot$.main(Boot.scala:21)
at Boot.main(Boot.scala)
Caused by: org.apache.atlas.AtlasException: Failed to load application properties
at org.apache.atlas.ApplicationProperties.get(ApplicationProperties.java:134)
at org.apache.atlas.ApplicationProperties.get(ApplicationProperties.java:86)
at com.hortonworks.spark.atlas.AtlasClientConf.configuration$lzycompute(AtlasClientConf.scala:25)
at com.hortonworks.spark.atlas.AtlasClientConf.configuration(AtlasClientConf.scala:25)
at com.hortonworks.spark.atlas.AtlasClientConf.get(AtlasClientConf.scala:50)
at com.hortonworks.spark.atlas.AtlasClient$.atlasClient(AtlasClient.scala:120)
at com.hortonworks.spark.atlas.SparkAtlasEventTracker.<init>(SparkAtlasEventTracker.scala:33)
at com.hortonworks.spark.atlas.SparkAtlasEventTracker.<init>(SparkAtlasEventTracker.scala:37)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.util.Utils$$anonfun$loadExtensions$1.apply(Utils.scala:2691)
at org.apache.spark.util.Utils$$anonfun$loadExtensions$1.apply(Utils.scala:2680)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at org.apache.spark.util.Utils$.loadExtensions(Utils.scala:2680)
at org.apache.spark.SparkContext$$anonfun$setupAndStartListenerBus$1.apply(SparkContext.scala:2387)
at org.apache.spark.SparkContext$$anonfun$setupAndStartListenerBus$1.apply(SparkContext.scala:2386)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.SparkContext.setupAndStartListenerBus(SparkContext.scala:2386)
... 8 more
Caused by: com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source null
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:259)
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:238)
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.AbstractFileConfiguration.<init>(AbstractFileConfiguration.java:197)
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.PropertiesConfiguration.<init>(PropertiesConfiguration.java:284)
at org.apache.atlas.ApplicationProperties.<init>(ApplicationProperties.java:69)
at org.apache.atlas.ApplicationProperties.get(ApplicationProperties.java:125)
... 32 more
19/08/09 16:40:16 INFO SparkContext: SparkContext already stopped.
Exception in thread "main" org.apache.spark.SparkException: Exception when registering SparkListener
at org.apache.spark.SparkContext.setupAndStartListenerBus(SparkContext.scala:2398)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:555)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2520)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:935)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:926)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:926)
at Boot$.main(Boot.scala:21)
at Boot.main(Boot.scala)
Caused by: org.apache.atlas.AtlasException: Failed to load application properties
at org.apache.atlas.ApplicationProperties.get(ApplicationProperties.java:134)
at org.apache.atlas.ApplicationProperties.get(ApplicationProperties.java:86)
at com.hortonworks.spark.atlas.AtlasClientConf.configuration$lzycompute(AtlasClientConf.scala:25)
at com.hortonworks.spark.atlas.AtlasClientConf.configuration(AtlasClientConf.scala:25)
at com.hortonworks.spark.atlas.AtlasClientConf.get(AtlasClientConf.scala:50)
at com.hortonworks.spark.atlas.AtlasClient$.atlasClient(AtlasClient.scala:120)
at com.hortonworks.spark.atlas.SparkAtlasEventTracker.<init>(SparkAtlasEventTracker.scala:33)
at com.hortonworks.spark.atlas.SparkAtlasEventTracker.<init>(SparkAtlasEventTracker.scala:37)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.util.Utils$$anonfun$loadExtensions$1.apply(Utils.scala:2691)
at org.apache.spark.util.Utils$$anonfun$loadExtensions$1.apply(Utils.scala:2680)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at org.apache.spark.util.Utils$.loadExtensions(Utils.scala:2680)
at org.apache.spark.SparkContext$$anonfun$setupAndStartListenerBus$1.apply(SparkContext.scala:2387)
at org.apache.spark.SparkContext$$anonfun$setupAndStartListenerBus$1.apply(SparkContext.scala:2386)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.SparkContext.setupAndStartListenerBus(SparkContext.scala:2386)
... 8 more
Caused by: com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source null
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:259)
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:238)
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.AbstractFileConfiguration.<init>(AbstractFileConfiguration.java:197)
at com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.PropertiesConfiguration.<init>(PropertiesConfiguration.java:284)
at org.apache.atlas.ApplicationProperties.<init>(ApplicationProperties.java:69)
at org.apache.atlas.ApplicationProperties.get(ApplicationProperties.java:125)
... 32 more
19/08/09 16:40:17 INFO ShutdownHookManager: Shutdown hook called
System.setProperty("atlas.conf", "") is the correct solution as noted by OP.
SAC uses ApplicationProperties.java.
Specifically it uses ApplicationProperties.get.
Source code is here:
https://github.com/apache/atlas/blob/master/intg/src/main/java/org/apache/atlas/ApplicationProperties.java#L118
You can see the variable ATLAS_CONFIGURATION_DIRECTORY_PROPERTY is set to "atlas.conf":
https://github.com/apache/atlas/blob/master/intg/src/main/java/org/apache/atlas/ApplicationProperties.java#L43
I believe you have forgotten one more step from the setup documentation. The error you have stems from
Caused by: com.hortonworks.spark.atlas.shade.org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source null
And to quote their README file in the github repo you've posted:
Also make sure atlas configuration file atlas-application.properties is in the Driver's classpath. For example, putting this file into <SPARK_HOME>/conf.
please refer to this from the official spark-atlas-connector github page. The atlas-application.properties file should be reachable.
Also make sure atlas configuration file atlas-application.properties is in the Driver's classpath. For example, putting this file into /conf.
If you're using cluster mode, please also ship this conf file to the remote Drive using --files atlas-application.properties.
The following should do the trick. Please note --files and --driver-class-path options that are necessary to place this configuration file on CLASSPATH and hence available for Atlas Client classes.
Moreover, spark-shell uses paths relative to the Spark Atlas Connector so change accordingly.
$SPARK_HOME/bin/spark-shell \
--jars spark-atlas-connector-assembly/target/spark-atlas-connector-assembly-0.1.0-SNAPSHOT.jar \
--conf spark.extraListeners=com.hortonworks.spark.atlas.SparkAtlasEventTracker \
--conf spark.sql.queryExecutionListeners=com.hortonworks.spark.atlas.SparkAtlasEventTracker \
--conf spark.sql.streaming.streamingQueryListeners=com.hortonworks.spark.atlas.SparkAtlasStreamingQueryEventTracker \
--files spark-atlas-connector/src/test/resources/atlas-application.properties \
--driver-class-path spark-atlas-connector/src/test/resources

Spark submit throws error while using Hive tables

i have a strange error, i am trying to write data to hive, it works well in spark-shell, but while i am using spark-submit, it throwing database/table not found in default error.
Following is the coding i am trying to write in spark-submit , i am using custom build of spark 2.0.0
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
sqlContext.table("spark_schema.iris_ori")
Following is the command i am using,
/home/ec2-user/Spark_Source_Code/spark/bin/spark-submit --class TreeClassifiersModels --master local[*] /home/ec2-user/Spark_Snapshots/Spark_2.6/TreeClassifiersModels/target/scala-2.11/treeclassifiersmodels_2.11-1.0.3.jar /user/ec2-user/Input_Files/defPath/iris_spark SPECIES~LBL+PETAL_LENGTH+PETAL_WIDTH RAN_FOREST 0.7 123 12
Following is the Error,
16/05/20 09:05:18 INFO SparkSqlParser: Parsing command: spark_schema.measures_20160520090502
Exception in thread "main" org.apache.spark.sql.AnalysisException: Database 'spark_schema' does not exist;
at org.apache.spark.sql.catalyst.catalog.ExternalCatalog.requireDbExists(ExternalCatalog.scala:37)
at org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.tableExists(InMemoryCatalog.scala:195)
at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:360)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:464)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:458)
at TreeClassifiersModels$.main(TreeClassifiersModels.scala:71)
at TreeClassifiersModels.main(TreeClassifiersModels.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:726)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:183)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:208)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:122)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
The issue was because of the deprecation happened on Spark Version 2.0.0. Hive Context was deprecated in Spark 2.0.0. To read/Write Hive tables on Spark 2.0.0 we need to use Spark session as follows.
val sparkSession = SparkSession.withHiveSupport(sc)

JDBC Driver not found - On submitting to YARN from Spark

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.

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