sparkmagic
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Jupyter magics and kernels for working with remote Spark clusters
**Describe the bug** when use %%pretty function, if there is chinese character in the table, the table cannot show properly and return this error. An internal error was encountered. Please...
**Describe the bug** I am using a PySpark kernel inside a Jupyter notebook attached to an EMR cluster. When I first start my PySpark session and run some code to...
### Description Configuration options are added to allow override of the spark statement progress indicator and for the html table of session info upon startup. Both come with defaults that...
### Description DataFrame may contain some data which may get parsed to MathJax elements which don't play nicely with tables & may not properly represent the actual dataframe data. To...
**Describe the bug** Through sagemaker notebooks I am trying to run a sparkmagic notebook (to talk to an emr) via nbconvert inside of the lifecycle script that runs during start...
docker-compose build Not able to build spark core. Error logs: >[error] /apps/build/spark/core/src/test/java/test/org/apache/spark/JavaAPISuite.java:36: warning: [deprecation] Accumulator in org.apache.spark has been deprecated [error] import org.apache.spark.Accumulator; [error] ^ [error] /apps/build/spark/core/src/test/java/test/org/apache/spark/JavaAPISuite.java:37: warning: [deprecation] AccumulatorParam...
### Description Follow up from https://github.com/jupyter-incubator/sparkmagic/pull/755, this adds Python 3.10 to CI, so we can have a stronger support guarantees. ### Checklist - [x] Wrote a description of my changes...
### Description This PR is WIP -- unit tests coming shortly, wanted to sanity check the general approach and see if this makes sense at all. The motivation is this...
**Describe the bug** Starting a new session on IPython 8.0.1 produces the error: `AttributeError: 'ZMQInteractiveShell' object has no attribute 'write'` **To Reproduce** Start a session with the following versions: IPython==8.0.1...
hi, I am trying to cycle through date variables as strings in jupyter hub and run a spark session for each date. startdate enddate finaldate while startdate != finaldate: v_start...