* Add third option: Route container to another local port
Jupyter can have multiple local instances if the used ports don't overlap. Added this as a troubleshooting alternative for users who may want or need to have more than one Jupyter instance running.
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* Update troubleshooting.md
* Update troubleshooting.md
* Update troubleshooting.md
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* Add GPU accelerated images by b-data to community
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* Use the JUPYTER_PORT environment variable to configure server port
- Remove port setting in jupyter_server_config.py
- Declare the $JUPYTER_PORT env on the base Dockerfile
- Use it for HEALTHCHECK
* Add test case for JUPYTER_PORT env variable
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* Update documentation
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* Update style
* Better wording
* Better wording
* Add test for custom internal port
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* Parametrize internal port test case
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* Try to fix test
* Better tests
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* Recipe for Microsoft SQL Server
Dockerfile with Microsoft SQL Server ODBC driver and pyodbc.
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* Get rid of apt-key, only install what's needed and clean up properly
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* Install pip package under jovyan
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* Create base-jupyter from base-notebook for non-server jupyter applications
* Fix pre-commit errors and begin test refactoring
* More test refactoring
* Add base-jupyter to images_hierarchy
* Use folder work instead of .jupyter in nb-user test
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* Linting: trailing comma
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* Remove redundant apt-get upgrade per review
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* fix linting
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* Fix markdown style
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* Merge tags and create multi-platform images
* Add new files :)
* Provide images
* Fix
* Fix
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* Use plumbum.FG
* Fix
* Add missing path
* Few merging fixes
* Add pushing manifests
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* Use platform word
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* Do not use print
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* Fix
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* add scala version choise
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* change checksum and removed default scala version
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* remove 3 duplicated lines.
* Add the commint as a comment
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* Rename downloadeds as spark.tgz
* Fix doc
* Update specifics.md
* New fix
* Fix wget
* Remove make link to spark
* Set full path to /usr/local/spark
* Change /usr/local/spark to ${SPARK_HOME}
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* Remove scala
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Delta 1.2.1:
Fix an issue with loading error messages in --packages mode. Previous release had a bug that resulted in user getting NullPointerException instead of proper error message when using Delta Lake with --packages mode either in pyspark or spark-shell (Fix, Test)
Fix incorrect exception type thrown in some Python APIs. A bug caused pyspark to throw incorrect type of exceptions instead of expected AnalysisException. This issue is fixed. See issue #1086 for more details.
Fix for S3 multi-cluster mode configuration. A bug in the S3 multi-cluster mode caused --conf to not work for certain configuration parameters. This issue is fixed by having these configuration parameters begin with spark. See the updated documentation.
Make the GCS LogStore configuration simpler by automatically deriving the LogStore implementation class config spark.delta.logStore.gs.impl from the scheme in the table path. See the updated documentation.
Make SetAccumulator thread safe. SetAccumulator used by Merge was not thread safe and might cause executor heartbeat failures in rare cases. This was fixed by using a synchronized set.
