I am trying to connect to extract data from Teradata using Spark JDBC. I have created a "lib" directory on the main parent directory and placed the external Teradata jars and ran the sbt package. In addition,I am also providing the "--jars" option on my spark-shell command to provide the jar. However, when I run the spark-shell, it does not seem to find the class
Exception in thread "main" java.lang.ClassNotFoundException: com.teradata.hadoop.tool.TeradataImportTool
However, when I do "jar tvf" on the jar file, I see the class. Somehow the Spark utility is unable to find the jar. Is there anything else I need to do so Spark could find it? Please help
This particular class com.teradata.hadoop.tool.TeradataImportTool is in teradata-hadoop-connector.jar
you can try to pass while submitting job like below example :
--conf spark.driver.extraClassPath complete path of teradata-hadoop-connector.jar
--conf spark.executor.extraClassPath complete path of teradata-hadoop-connector.jar
OR
import jars to both driver & executor. So, you need to edit conf/spark-defaults.conf adding both lines below.
spark.driver.extraClassPath complete path of teradata-hadoop-connector.jar
spark.executor.extraClassPath complete path of teradata-hadoop-connector.jar
NOTE : You can use uber jar is also known as fat jar i.e. jar
with dependencies. as well as alternative approach to avoid this kind
of issue
Related
I have used this command and it works fine:
spark = SparkSession.builder.appName('Apptest')\
.config('spark.jars.packages', 'org.mongodb.spark:mongo-spark-connector_2.11:2.3.5').getOrCreate()
But I'd like to download the jar file and always start with:
spark = SparkSession.builder.appName('Apptest').getOrCreate()
How can I do it? I have tried:
Move to SPARK_HOME jar dir:
cd /de/spark-2.4.6-bin-hadoop2.7/jars
Download jar file
curl https://repo1.maven.org/maven2/org/mongodb/spark/mongo-spark-connector_2.11/2.3.5/mongo-spark-connector_2.11-2.3.5.jar --output mongo-spark-connector_2.11-2.3.5.jar
But spark don't see it. I got the following error:
Py4JJavaError: An error occurred while calling o66.save.
: java.lang.NoClassDefFoundError: com/mongodb/ConnectionString
I know there is ./spark-shell --jar command, but I am using jupyter notebook. Is there some step missing?
Since you're using SparkSession in the jupyter notebook, unfortunately you have to use the .config('spark.jars.packages', '...') to add the jars that you want when you're creating the spark object.
Instead, if you want to add the jar in "default" mode when you launch the notebook, I would recommend you to create a custom kernel, so that every time when you create a new notebook, you even don't need to create the spark. If you're using Anaconda, you can check the docs: https://docs.anaconda.com/ae-notebooks/admin-guide/install/config/custom-pyspark-kernel/
What I was looking for is .config("spark.jars",".."):
spark = SparkSession.builder.appName('Test')\
.config("spark.jars", "/root/mongo-spark-connector_2.11-2.3.5.jar,/root/mongo-java-driver-3.12.5.jar") \
.getOrCreate()
Or:
import os
os.environ["PYSPARK_SUBMIT_ARGS"]="--jars /root/mongo-spark-connector_2.11-2.3.5.jar,/root/mongo-java-driver-3.12.5.jar pyspark-shell"
Also, seems that only put the jar files in $SPARK_HOME/jars works fine as well, but in my case and question example was missing the dependency mongo-java-driver-3.12.5.jar. After download all dependencies in $SPARK_HOME/jars I was able to run only with:
spark = SparkSession.builder.appName('Test').getOrCreate()
I have find out the dependencies in: https://mvnrepository.com/artifact/org.mongodb.spark/mongo-spark-connector_2.11/2.3.5
I am a complete beginner to all this stuff in general so pardon if I'm missing some totally obvious step. I installed spark 3.1.2 and cassandra 3.11.11 and I'm trying to connect both of them through this guide I found where I made a fat jar for execution. In the link I posted when they execute the spark-shell command with the jar file, there's a line which occurs at the start.
INFO SparkContext: Added JAR file:/home/chbatey/dev/tmp/spark-cassandra-connector/spark-cassandra-connector-java/target/scala-2.10/spark-cassandra-connector-java-assembly-1.2.0-SNAPSHOT.jar at http://192.168.0.34:51235/jars/spark-15/01/26 16:16:10 INFO SparkILoop: Created spark context..
I followed all of the steps properly but it doesn't show any line like that in my shell. To confirm that it hasn't been added I try the sample program on that website and it throws an error
java.lang.NoClassDefFoundError: com/datastax/spark/connector/util/Logging
What should I do? I'm using spark-cassandra-connector-3.1.0
You don't need to compile it yourself, just follow official documentation - use --packages to automatically download all dependencies:
spark-shell --packages com.datastax.spark:spark-cassandra-connector_2.12:3.1.0
Your error is that connector file doesn't contain dependencies, you need to list all things, like, java driver, etc. So if you still want to use --jars option, then just download assembly version of it (link to jar) - it will contain all necessary dependencies.
i am listening to eventhub stream and have seen article to attach library to cluster(databricks) and my code runs file.
For debugging i am running the code on local machine/cluster, but it fails for missing library. How can i add library when running on local machine.
i tried sparkcontext.addfile(fullpathtojar), but still same error.
You can use spark-submit --packages
Example: spark-submit --packages org.postgresql:postgresql:42.1.1
You would need to find the package that you are using and check the compatibility with spark.
With a single jar file you'd use spark-submit --jars instead.
i used spark-submit --packages {package} and it works.
I'm porting an existing script from BigInsights to Spark on Bluemix. I'm trying to run the following against Spark on Bluemix:
./spark-submit.sh --vcap ./vcap.json --deploy-mode cluster \
--master https://x.x.x.x:8443 --jars ./truststore.jar \
--packages org.elasticsearch:elasticsearch-spark_2.10:2.3.0 \
./export_to_elasticsearch.py ...
However, I get the following error:
Error: Unrecognized option: --packages
How can I pass the --packages parameter?
Bluemix uses a customized Spark version, with a customized spark-submit.sh script that only supports a subset of the original script parameters. You can see all the configuration properties and parameters you can use on its documentation.
Additionally, you can download the Bluemix version of the script from this link, and there you can see that there is no argument --packages.
Therefore, the problem with your approach is that the Bluemix version of spark-submit does not accept the --packages parameter, probably due to security reasons. However, alternatively, you can download the jar for the package you want (and maybe a fat jar for the dependencies) and upload them using the --jars parameter. Note: To avoid the necessity of uploading the jar files each time you call spark-submit, you can pre-upload them using curl. The details of this procedure can be found on this link.
Adding to Daniel's post, while using the method to pre-upload your package, you might want to upload your package to "${cluster_master_url}/tenant/data/libs", since Spark service sets these four spark properties "spark.driver.extraClassPath", "spark.driver.extraLibraryPath", "spark.executor.extraClassPath", and "spark.executor.extraLibraryPath" to ./data/libs/*
Reference: https://console.ng.bluemix.net/docs/services/AnalyticsforApacheSpark/index-gentopic3.html#spark-submit_properties
I'm trying to automatically include jars to my PySpark classpath. Right now I can type the following command and it works:
$ pyspark --jars /path/to/my.jar
I'd like to have that jar included by default so that I can only type pyspark and also use it in IPython Notebook.
I've read that I can include the argument by setting PYSPARK_SUBMIT_ARGS in env:
export PYSPARK_SUBMIT_ARGS="--jars /path/to/my.jar"
Unfortunately the above doesn't work. I get the runtime error Failed to load class for data source.
Running Spark 1.3.1.
Edit
My workaround when using IPython Notebook is the following:
$ IPYTHON_OPTS="notebook" pyspark --jars /path/to/my.jar
You can add the jar files in the spark-defaults.conf file (located in the conf folder of your spark installation). If there is more than one entry in the jars list, use : as separator.
spark.driver.extraClassPath /path/to/my.jar
This property is documented in https://spark.apache.org/docs/1.3.1/configuration.html#runtime-environment
As far as I know, you have to import jars to both driver AND executor. So, you need to edit conf/spark-defaults.conf adding both lines below.
spark.driver.extraClassPath /path/to/my.jar
spark.executor.extraClassPath /path/to/my.jar
When I went through this, I did not need any other parameters. I guess you will not need them too.
Recommended way since Spark 2.0+ is to use
spark.driver.extraLibraryPath
and spark.executor.extraLibraryPath
https://spark.apache.org/docs/2.4.3/configuration.html#runtime-environment
ps. spark.driver.extraClassPath and spark.executor.extraClassPath are still there,
but deprecated and will be removed in a future release of Spark.