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Spark : how to run spark file from spark shell


Spark : how to run spark file from spark shell

By : Anna
Date : November 22 2020, 10:56 AM
wish of those help I am using CDH 5.2. I am able to use spark-shell to run the commands. , To load an external file from spark-shell simply do
code :
:load PATH_TO_FILE


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Spark: Run Spark shell from a different directory than where Spark is installed on slaves and master

Spark: Run Spark shell from a different directory than where Spark is installed on slaves and master


By : ponda
Date : March 29 2020, 07:55 AM
it helps some times You need to edit three files, spark-submit, spark-class and pyspark (all in the bin folder).
Find the line
code :
export SPARK_HOME = [...]
SPARK_HOME = [...]
Why does spark-submit and spark-shell fail with "Failed to find Spark assembly JAR. You need to build Spark before

Why does spark-submit and spark-shell fail with "Failed to find Spark assembly JAR. You need to build Spark before


By : user2927770
Date : March 29 2020, 07:55 AM
I hope this helps you . Your Spark package doesn't include compiled Spark code. That's why you got the error message from these scripts spark-submit and spark-shell.
You have to download one of pre-built version in "Choose a package type" section from the Spark download page.
Spark GraphX spark-shell vs spark-submit performance differences

Spark GraphX spark-shell vs spark-submit performance differences


By : Chien Nguyen
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I figured this out a while back and just bumped into my question again. So thought would update with how I fixed it. The issue was not a difference between spark-submit and spark-shell but difference in the code structure we were executing.
In the Shell i was unbundling the code and executing it line by line, this resulted in the code generated by Spark being fast and efficient.
Why does Spark application work in spark-shell but fail with "org.apache.spark.SparkException: Task not serializabl

Why does Spark application work in spark-shell but fail with "org.apache.spark.SparkException: Task not serializabl


By : Mehmood khan
Date : March 29 2020, 07:55 AM
Does that help Your case class must have public scope. You can't have ArchivoProcesar inside a class
How to enable or disable Hive support in spark-shell through Spark property (Spark 1.6)?

How to enable or disable Hive support in spark-shell through Spark property (Spark 1.6)?


By : Bo Jaques
Date : March 29 2020, 07:55 AM
like below fixes the issue Spark >= 2.0
Enable and disable of Hive context is possible with config spark.sql.catalogImplementation
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