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42 Commits

Author SHA1 Message Date
cglewis
d91d4a8c48 MAINTAINER is deprecated, using LABEL now 2017-10-31 20:17:06 -07:00
Min RK
0351f0c3b7 base image on ubuntu:16.04 2017-08-09 11:07:29 +02:00
uodna
c740fbb1ca Upgrade Spark to 2.2.0 2017-07-18 23:50:18 +09:00
Pando85
93683ee25f [Update] Spark updated to 2.1.1 2017-06-24 14:12:21 +02:00
Vishu Dontham
c49a3cfdd7 changed the version of mesos to avoid backward compatibility issue 2017-04-30 02:58:53 +05:30
Rudolf Kral
1503e39c6f Bump Py4J to 0.10.4 
Spark 2.1.0 requires Py4J 0.10.4, not 0.10.3.
 2017-03-15 17:51:03 +01:00
Peter Parente
87ca3de02a Fix #345: Bump to Spark 2.1.0 2017-03-09 08:51:40 -05:00
Peter Parente
fde30f67fe Fix #340: Failing openjdk install 2017-02-07 22:56:31 -06:00
Peter Parente
52bce8f002 Use Apache Toree 0.2.0dev1 for Spark 2.0.2 2016-12-10 13:33:36 -05:00
Peter Parente
1339b518a9 Upgrade Spark to 2.0 2016-12-10 13:33:36 -05:00
Min RK
e89f0b278b inherit pyspark from scipy-notebook 
removes duplicate installation of python 2 env and Python packages.

There are very few packages in scipy not in pyspark, so removing the duplicate seems valuable.
 2016-06-29 09:45:12 +02:00
Sebastian Reuße
fdb247ec0c Make use of available environment variables 
base-notebook defines environment variables for the Conda install path and the
notebook user. However, in some instances, these locations were still hardcoded.
Let’s use the variables instead.
 2016-06-28 11:31:24 +02:00
John Kirkham
ac53e57ed9 pyspark-notebook: Use jq from conda-forge. 2016-06-09 19:26:45 -04:00
Peter Parente
e384a4512b Add pip2, pip3 symlinks for images with python2 
Fixes #123

(c) Copyright IBM Corp. 2016
 2016-05-29 23:09:48 -04:00
Peter Parente
401575ede9 Merge pull request #204 from lbustelo/UpgradeToree0.1.0.dev5 
Bump Spark to 1.6.1, Toree to 0.1.0.dev7
 2016-05-11 00:34:51 -04:00
Peter Parente
eb754a1a23 Bump Spark to 1.6.1 
(c) Copyright IBM Corp. 2016
 2016-05-10 09:06:09 -05:00
Peter Parente
e14e387d6c Require ipywidgets 5.1 
5.0 had API compatibility problems
see ipython/ipywidgets#522

(c) Copyright IBM Corp. 2016
 2016-04-29 07:40:48 -04:00
Peter Parente
39104f2432 Upgrade to notebook 4.2, ipywidgets 5.0 2016-04-26 08:55:18 -04:00
Peter Parente
42765a9617 Add numexpr to wherever pandas is 
Fixes #173

(c) Copyright IBM Corp. 2016
 2016-04-10 14:41:58 -04:00
Peter Parente
f5da6216ad Base all-spark-notebook on pyspark-notebook 
To speed up build, reduce accidental disparity, ease maintenance

(c) Copyright IBM Corp. 2016
 2016-03-18 08:16:39 -04:00
John Kirkham
630ceec257 Dockerfile: Clean apt-get lists. 2016-03-07 21:38:40 -05:00
John Kirkham
9f9ddd67a2 all-spark-notebook/Dockerfile: Clean after installing jq. 2016-03-06 23:58:35 -05:00
John Kirkham
a5cc245a7a docker: Make conda installs quieter. 2016-03-06 21:13:57 -05:00
John Kirkham
ca3f00a6c8 pyspark-notebook/Dockerfile: Note to get Mesos for jessie. 2016-03-05 15:12:24 -05:00
John Kirkham
4711a6ce75 pyspark-notebook/Dockerfile: Clean out conda. 2016-03-04 18:29:31 -05:00
John Kirkham
2a51eb9139 pyspark-notebook/Dockerfile: Tell conda yes. 2016-03-04 17:31:47 -05:00
Peter Parente
3fd3850bdc Bump python libs to match other images 
(c) Copyright IBM Corp. 2016
 2016-02-13 20:49:11 -05:00
Peter Parente
d25f33a5fb Fix py4j version and path 
(c) Copyright IBM Corp. 2016
 2016-02-04 21:29:36 -05:00
Peter Parente
154c4d64d2 Bump Spark dependencies 
* Use Spark 1.6.0
* Use Apache Toree (new name/home of ibm-et/spark-kernel)
* Add missing pub key for binary
* Add SHA check for spark package download

(c) Copyright IBM Corp. 2016
 2016-02-03 13:29:21 -05:00
Peter Parente
232d6fc465 Use jq instead of sed 
(c) Copyright IBM Corp. 2016
 2016-02-02 10:47:57 -05:00
Peter Parente
155fdea583 Set PYSPARK_HOME in python2 kernelspec 
* Install python2 spec to CONDA_DIR instead of system prefix too

(c) Copyright IBM Corp. 2016
 2016-02-02 09:03:30 -05:00
Peter Parente
9aae44ef66 Use updated LICENSE.md file 
Also fix copyright headers on various files
 2016-01-17 11:27:10 -05:00
Peter Parente
6d5cd67528 Make jovyan the default user for the docker cmd 
* Switch to jovyan at the end of every Dockerfile
* Document --user root requirement for NB_UID and GRANT_SUDO flags

(c) Copyright IBM Corp. 2015
 2015-12-27 21:05:48 -05:00
Justin Tyberg
e53b288e6e Bump to pandas 0.17. 
(c) Copyright IBM Corp. 2015
 2015-12-04 17:47:12 -05:00
Kai Wang
817550198f update for Spark 1.5.1 2015-10-21 15:22:57 +00:00
Peter Parente
678b64e9e4 Swap tini for supervisord 
* Pass $@ args to start-notebook.sh
* Set tini as entrypoint, but keep start-notebook.sh as easily overridable CMD
* su to jovyan user within start-notebook.sh script

Contribution (c) Copyright IBM Corp. 2015
 2015-09-22 20:51:18 -04:00
Peter Parente
69c5c35f7f Run pyspark, all-spark, scipy, r conda installs as jovyan 
… but install kernel specs global to avoid problems when switching NB_UID

Contribution (c) Copyright IBM Corp. 2015
 2015-09-11 00:36:40 -04:00
Peter Parente
701212dbf1 Explicitly set USER root in every Dockerfile 
Contribution (c) Copyright IBM Corp. 2015
 2015-08-29 21:50:04 -04:00
Peter Parente
c4616560cf Make subimages compatible with late user creation 
* Always remain as root during install
* Put kernel specs in system path, not user home
* Create user work directory at startup
* Note this is in 4.0 and up images, not 3.2

Contribution (c) Copyright IBM Corp. 2015
 2015-08-28 23:43:57 -04:00
Peter Parente
16db7cfe55 Bump master to Jupyter Notebook 4.0 
* Merge 4.0.x branch
* Rejigger Dockerfiles to build from minimal-notebook:latest
 2015-08-25 20:45:04 -04:00
Peter Parente
e1c0c75c9c Upgrade to Jupyter Notebook 
* Change minimal-notebook to install notebook=4.0*
* Change other Dockerfile to point to 4.0 Docker Hub tag (to be built)
* Change config and pem file paths for jupyter
* Install ipywidgets in all containers that have a Python stack
* Update all READMEs to describe v3.2 and v4.0 since Docker Hub only shows one README for all tags

Contribution (c) Copyright IBM Corp. 2015
 2015-08-23 08:55:09 -04:00
Peter Parente
871c0edc16 Spark 1.4.1 and Mesos 0.22, for Python 2 and 3 
Plus README explaining how to use pyspark in local mode and with a
Mesos cluster.

(c) Copyright IBM Corp. 2015
 2015-08-12 12:10:09 -04:00