spark-shell error on Windows - can it be ignored if not using hadoop?

Question

I got the following error when starting the spark-shell. I'm going to use Spark to process data in SQL Server. Can I ignore the errors?

java.io.IOException: Could not locate executable nullinwinutils.exe in the Hadoop binaries.

java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveSessionState'

Caused by: java.lang.reflect.InvocationTargetException: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog':

Caused by: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog'

Caused by: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog'

Caused by: java.lang.reflect.InvocationTargetException: java.lang.reflect.InvocationTargetException: java.lang.RuntimeException: java.lang.RuntimeException: Error while running command to get file permissions : java.io.IOException: (null) entry in command string: null ls -F C:mphive

Caused by: java.lang.reflect.InvocationTargetException: java.lang.RuntimeException: java.lang.RuntimeException: Error while running command to get file permissions : java.io.IOException: (null) entry in command string: null ls -F C:mphive

Caused by: java.lang.RuntimeException: java.lang.RuntimeException: Error while running command to get file permissions : java.io.IOException: (null) entry in command string: null ls -F C:mphive

Answer 1

tl;dr You'd rather not.

Well, it may be possible, but given you've just started your journey to Spark's land the efforts would not pay off.

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Windows has never been a developer-friendly OS to me and whenever I teach people Spark and they use Windows I just take it as granted that we'll have to go through the winutils.exe setup but many times also how to work on command line.

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Please install winutils.exe as follows:

1. Run cmd as administrator
2. Download winutils.exe binary from https://github.com/steveloughran/winutils repository (use hadoop-2.7.1 for Spark 2)
3. Save winutils.exe binary to a directory of your choice, e.g. c:hadoopin
4. Set HADOOP_HOME to reflect the directory with winutils.exe (without bin), e.g. set HADOOP_HOME=c:hadoop
5. Set PATH environment variable to include %HADOOP_HOME%in
6. Create c:mphive directory
7. Execute winutils.exe chmod -R 777 mphive
8. Open spark-shell and run spark.range(1).show to see a one-row dataset.