question-mark
Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Spark version compatibility and compilation error for Spark 2.0.1

See original GitHub issue

Hi all,

I’m trying compile latest master branch with spark 2.0.1 and hadoop 2.7.3 and I’m getting the following error:

[error] impossible to get artifacts when data has not been loaded. IvyNode = com.fasterxml.jackson.core#jackson-databind;2.5.4
java.lang.IllegalStateException: impossible to get artifacts when data has not been loaded. IvyNode = com.fasterxml.jackson.core#jackson-databind;2.5.4

Setting hadoop 2.4.0 and spark 1.6.1. compiles fine though. Could someone point me to documentation stating which spark and hadoop versions are supported? Should I manually set the dependencies and if so how?

Thanks!

Issue Analytics

  • State:open
  • Created 7 years ago
  • Comments:6 (3 by maintainers)

github_iconTop GitHub Comments

3reactions
suiyuan2009commented, Feb 28, 2017

I solve the problem by modify sbt.version to 0.13.9 in project/build.properties, no need to change jacksonVersion to 2.5.4.

0reactions
xor007commented, Aug 31, 2017

+1 hadoop 2.7.3/spark 2.1.0 (HDP 2.6) even with sbt 0.13.9 could not complete compilation for me

Read more comments on GitHub >

github_iconTop Results From Across the Web

Versioning Policy | Apache Spark
Currently, does not guarantee that a compiled application that is linked against version A will link cleanly against version B without re-compiling. Link-level ......
Read more >
Compatibility issue with Scala and Spark for compiled jars
The spark version can be different that the installed one as spark has backward compatibility (at least in major version) so you can...
Read more >
Spark 2.0.1-1703 Release Notes
Spark-SQL is supported, but it is not fully compatible with Hive. For details, see the Apache Spark documentation and the MapR Spark documentation....
Read more >
Elasticsearch-spark not compatible with Spark 2.0.0
spark which is not available. ... [error] the classpath might be incompatible with the version used when compiling Column.class. ... [error] in ...
Read more >
Databricks Runtime 10.5 (Unsupported) - Azure
[SPARK-38107] [SQL] Use error classes in the compilation errors of python/pandas UDFs; [SPARK-38354] [SQL] Add hash probes metric for shuffled ...
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Dev.to Post

No results found

github_iconTop Related Hashnode Post

No results found