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DataError in Pandas moved from core.groupby to core.base #459

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merged 3 commits into from Aug 30, 2018
Merged

DataError in Pandas moved from core.groupby to core.base #459

merged 3 commits into from Aug 30, 2018

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jimdowling
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An update in Pandas to version 0.23 has caused DataError to move from one package to another, breaking two references in SparkMagic.
Issue #458 described this problem which causes SparkMagic to fail.

I am not sure if DataError is a public module that it is ok for SparkMagic to depend on.

@apetresc
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Thank you for this fix, @jimdowling. Confirmed this works with all versions of pandas - since this is a library that end-users are likely to be opinionated about the version of, I agree that the conditional import is a better solution than just bumping our version dependency.

The test failures represent an issue with the testing code itself, so I'm going to override them for now in the interest of getting this merged.

Super-sorry about the delayed reaction.

@apetresc apetresc merged commit ee3e6af into jupyter-incubator:master Aug 30, 2018
apetresc added a commit that referenced this pull request Sep 19, 2018
* Add python3 option in %manage_spark magic (#427)

Fixes #420

* Links fixed in README

* DataError in Pandas moved from core.groupby to core.base (#459)

* DataError in Pandas moved from core.groupby to core.base

* maintain backwards compatability with Pandas 0.22 or lower for DataError

* Bump autoviz version to 0.12.6

* Fix unit test failure caused by un-spec'ed mock which fails traitlet validation (#480)

* Fix failing unit tests

Caused by an un-spec'ed mock in a test which fails traitlet validation

* Bump travis.yml Python3 version to 3.6

Python 3.3 is not only EOL'ed but is now actively unsupported by Tornado, which causes
the Travis build to fail again.

* Bumping version numbers for hdijupyterutils and sparkmagic to keep them in sync
apetresc added a commit that referenced this pull request Jan 31, 2019
* Add python3 option in %manage_spark magic (#427)

Fixes #420

* Links fixed in README

* DataError in Pandas moved from core.groupby to core.base (#459)

* DataError in Pandas moved from core.groupby to core.base

* maintain backwards compatability with Pandas 0.22 or lower for DataError

* Bump autoviz version to 0.12.6

* Fix unit test failure caused by un-spec'ed mock which fails traitlet validation (#480)

* Fix failing unit tests

Caused by an un-spec'ed mock in a test which fails traitlet validation

* Bump travis.yml Python3 version to 3.6

Python 3.3 is not only EOL'ed but is now actively unsupported by Tornado, which causes
the Travis build to fail again.

* Bumping version numbers for hdijupyterutils and sparkmagic to keep them in sync

* Add Gitter badge (#482)

* Fix decode json error at trailing empty line (#483)

* Bump version number to 0.12.7
kevcunnane pushed a commit to kevcunnane/sparkmagic that referenced this pull request Aug 22, 2019
* Release 0.12.0 (jupyter-incubator#373)

* Make location of config.json file configurable using environment variables (jupyter-incubator#350)

* Make location of config.json file configurable using environment variables

* Update minor version to 0.11.3

* Fix column drop issue when first row has missing value (jupyter-incubator#353)

* Remove extra line

* initial fix of dropping columns

* add unit tests

* revert sql query test change

* revert sql query test change 2

* bump versions

* move outside if

* Adding a working Docker setup for developing sparkmagic (jupyter-incubator#361)

* Adding a working Docker setup for developing sparkmagic

It includes the Jupyter notebook as well as the Livy+Spark endpoint.
Documentation is in the README

* Pre-configure the ~/.sparkmagic/config.json

Now you can just launch a PySpark wrapper kernel and have it work
out of the box.

* Add R to Livy container

Also added an R section to example_config.json to make it work
out of the box - and I think it's just a good thing to have it
anyway, otherwise how would users ever know it was meant to be
there?

* Add more detail to the README container section

* Add dev_mode build-arg.

Disabled by default. When enabled, builds the container using your local
copy of sparkmagic, so that you can test your development changes inside
the container.

* Adding missing kernels

Was missing Scala and Python2. Confirmed that Python2 and
Python3 are indeed separate environments on the spark
container.

* Kerberos authentication support (jupyter-incubator#355)

* Enabled kerberos authentication on sparkmagic and updated test cases.

* Enabled hide and show username/password based on auth_type.

* Updated as per comments.

* Updated documentation for kerberos support

* Added test cases to test backward compatibility of auth in handlers

* Update README.md

Change layout and add build status

* Bump version to 0.12.0 (jupyter-incubator#365)

* Remove extra line

* bump version

* Optional coerce (jupyter-incubator#367)

* Remove extra line

* added optional configuration to have optional coercion

* fix circular dependency between conf and utils

* add gcc installation for dev build

* fix parsing bug for coerce value

* fix parsing bug for coerce value 2

* Automatically configure wrapper-kernel endpoints in widget (jupyter-incubator#362)

* Add pre-configured endpoints to endpoint widget automatically

* Fix crash on partially-defined kernel configurations

* Use LANGS_SUPPORTED constant to get list of possible kernel config sections

* Rename is_default attr to implicitly_added

* Adding blank line between imports and class declaration

* Log failure to connect to implicitly-defined endpoints

* Adding comment explaining implicitly_added

* Pass auth parameter through

* Fix hash and auth to include auth parameter (jupyter-incubator#370)

* Fix hash and auth to include auth parameter

* fix endpoint validation

* remove unecessary commit

* Ability to add custom headers to HTTP calls (jupyter-incubator#371)

* Abiulity to add custom headers to rest call

* Fix import

* Ad basic conf test

* Fix tests

* Add test

* Fix tests

* Fix indent

* Addres review comments

* Add custom headers to example config

* Merge master to release (jupyter-incubator#390)

* Configurable retry for errors (jupyter-incubator#378)

* Remove extra line

* bumping versions

* configurable retry

* fix string

* Make statement and session waiting more responsive (jupyter-incubator#379)

* Remove extra line

* bumping versions

* make sleeping for sessions an exponential backoff

* fix bug

* Add vscode tasks (jupyter-incubator#383)

* Remove extra line

* bumping versions

* add vscode tasks

* Fix endpoints widget when deleting a session (jupyter-incubator#389)

* Remove extra line

* bumping versions

* add vscode tasks

* fix deleting from endpoint widget, add notebooks to docker file, refresh correctly, populate endpoints correctly

* fix tests

* add unit tests

* refresh after cleanup

* Merge master to release (jupyter-incubator#392)

* Configurable retry for errors (jupyter-incubator#378)

* Remove extra line

* bumping versions

* configurable retry

* fix string

* Make statement and session waiting more responsive (jupyter-incubator#379)

* Remove extra line

* bumping versions

* make sleeping for sessions an exponential backoff

* fix bug

* Add vscode tasks (jupyter-incubator#383)

* Remove extra line

* bumping versions

* add vscode tasks

* Fix endpoints widget when deleting a session (jupyter-incubator#389)

* Remove extra line

* bumping versions

* add vscode tasks

* fix deleting from endpoint widget, add notebooks to docker file, refresh correctly, populate endpoints correctly

* fix tests

* add unit tests

* refresh after cleanup

* Try to fix pypi repos (jupyter-incubator#391)

* Remove extra line

* bumping versions

* add vscode tasks

* try to fix pypi new repos

* Merge master to release (jupyter-incubator#394)

* Configurable retry for errors (jupyter-incubator#378)

* Remove extra line

* bumping versions

* configurable retry

* fix string

* Make statement and session waiting more responsive (jupyter-incubator#379)

* Remove extra line

* bumping versions

* make sleeping for sessions an exponential backoff

* fix bug

* Add vscode tasks (jupyter-incubator#383)

* Remove extra line

* bumping versions

* add vscode tasks

* Fix endpoints widget when deleting a session (jupyter-incubator#389)

* Remove extra line

* bumping versions

* add vscode tasks

* fix deleting from endpoint widget, add notebooks to docker file, refresh correctly, populate endpoints correctly

* fix tests

* add unit tests

* refresh after cleanup

* Try to fix pypi repos (jupyter-incubator#391)

* Remove extra line

* bumping versions

* add vscode tasks

* try to fix pypi new repos

* Test 2.7.13 environment for pypi push to prod (jupyter-incubator#393)

* Remove extra line

* bumping versions

* add vscode tasks

* try to fix pypi new repos

* try to fix pip push for prod pypi by pinning to later version of python

* bump versions (jupyter-incubator#395)

* Release v0.12.6 (jupyter-incubator#481)

* Add python3 option in %manage_spark magic (jupyter-incubator#427)

Fixes jupyter-incubator#420

* Links fixed in README

* DataError in Pandas moved from core.groupby to core.base (jupyter-incubator#459)

* DataError in Pandas moved from core.groupby to core.base

* maintain backwards compatability with Pandas 0.22 or lower for DataError

* Bump autoviz version to 0.12.6

* Fix unit test failure caused by un-spec'ed mock which fails traitlet validation (jupyter-incubator#480)

* Fix failing unit tests

Caused by an un-spec'ed mock in a test which fails traitlet validation

* Bump travis.yml Python3 version to 3.6

Python 3.3 is not only EOL'ed but is now actively unsupported by Tornado, which causes
the Travis build to fail again.

* Bumping version numbers for hdijupyterutils and sparkmagic to keep them in sync

* add magic for matplotlib display

* repair

* Patch SparkMagic for latest IPythonKernel compatibility

**Description**
* The IPython interface was updated to return an asyncio.Future rather than a dict from version 5.1.0. This broke SparkMagic as it still expects a dictionart from the output
* This change updates the SparkMagic base kernel to expect a Future and block on its result.
* This also updates the dependencies to call out the the new IPython version dependency.

**Testing Done**
* Unit tests added
* Validating that the kernel connects successfully
* Validating some basic Spark additional operations on an EMR cluster.

* Fix decode json error at trailing empty line (jupyter-incubator#483)

* Bump version number to 0.12.7

* add a screenshot of an example  for display matplot picture

* Fix guaranteed stack trace

* Simplify loop a bit

* We want to be able to interrupt the sleep, so move that outside the try / except

* Add missing session status to session.

* Correct to correct URL with full list.

* Better tests.

* Switch to Livy 0.6.

* Sketch of removal of PYSPARK3.

* Don't allow selection of Python3, since it's not a separate thing now.

* __repr__ for easier debugging of test failures.

* Start fixing tests.

* Rip out more no-longer-relevant "Python 3" code. Python 3 and Python 2 work again.

* Changelog.

* Add progress bar to sparkmagic/sparkmagic/livyclientlib/command.py. Tested with livy 0.4-0.6, python2 and python3

* Support Future and non-Future results from ipykernel.

* News entry.

* Unpin ipykernel so it works with Python 2.

* Python 3.7 support.

* Also update requirements.txt.

* Xenial has 3.7.

* from IPython.display import display to silence travis warning

* Couple missing entries.

* Update versions.

* Document release process, as I understand it.

* Correct file name.

* delete obsolete pyspark3kernel (jupyter-incubator#549)

* delete obsolete pyspark3kernel

* Update README.md

* Update setup.py

* Update test_kernels.py

* Remove old kernelspec installation from Dockerfile

This kernel was removed in jupyter-incubator#549 but the Dockerfile still tries to
install it, which fails the build. This corrects that.

* Relax constraints even more, and make sure to relax them in duplicate locations.

* Don't assume some pre-populated tables, create a new table from the Docker
image's examples.

* Note new feature.

* Additional dependencies for matplotlib to work.

* Add support and documentation for extension use, refactor kernel use.

* Example in pyspark kernel.

* Test for Command's decoding of images.

* Switch to plotly 3.

* Try to switch to standard mechanism Sparkmagic uses for displaying.

* Another entry.

* Add documentation for JupyterLab.

* Prepare for 0.12.9.

* Revert get_session_kind change to be more consistent with upstream repo.

* Remove redundant python3 session test.

* Remove python3 references in livysession.
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2 participants