https://examples.javacodegeeks.com/java-io-filenotfoundexception-how-to-solve-file-not-found-exception/
Are you a programmer ?
Regards,
Hulio
> Sent: Friday, July 17, 2020 at 2:41 AM
> From: "Nagendra Darla"
> To: user@spark.apache.org
> Subject: File not found exceptions on S3 while
Hello All,
I am converting existing parquet table (size: 50GB) into Delta format. It
took around 1hr 45 mins to convert.
And I see that there are lot of FileNotFoundExceptions in the logs
Caused by: java.io.FileNotFoundException: No such file or directory:
https://issues.apache.org/jira/plugins/servlet/mobile#issue/SPARK-10795
https://stackoverflow.com/questions/34632617/spark-python-submission-error-file-does-not-exist-pyspark-zip
https://stackoverflow.com/questions/34632617/spark-python-submission-error-file-does-not-exist-pyspark-zip>
Sent:
That's what I'm saying you don't want to do :) If you have two versions of
a library with different apis the safest approach is shading and ordering
probably can't be relied on. In my experience reflection will behave in
ways you may not like as well as which classpath has priority when a class
is
Thank you Russel and Jeff,
My bad, I wasn't clear before about the conflicting jars. By that, I meant
my application needs to use an updated version of certain jars than what
are present in the default classpath. What would be the best way to use
confs spark.jar and spark.driver.extraClassPath
If you can't avoid it, you need to make use of the
spark.driver.userClassPathFirst and/or spark.executor.userClassPathFirst
properties.
On Thu, Jul 16, 2020 at 2:03 PM Russell Spitzer
wrote:
> I believe the main issue here is that spark.jars is a bit "too late" to
> actually prepend things to
I believe the main issue here is that spark.jars is a bit "too late" to
actually prepend things to the class path. For most use cases this value is
not read until after the JVM has already started and the system classloader
has already loaded.
The jar argument gets added via the dynamic class
Hello,
How can we use *spark.jars* to to specify conflicting jars (that is, jars
that are already present in the spark's default classpath)? Jars specified
in this conf gets "appended" to the classpath, and thus gets looked at
after the default classpath. Is it not intended to be used to specify
I'm trying to run some Spark script in cluster mode using Yarn but I've always
obtained this error. I read in other similar question that the cause can be:
"Local" set up hard-coded as a master but I don't have it
HADOOP_CONF_DIR environment variable that's wrong inside spark-env.sh but it
