[GitHub] spark issue #19528: [SPARK-20393][WEBU UI][1.6] Strengthen Spark to prevent ...
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[GitHub] spark issue #19528: [SPARK-20393][WEBU UI][1.6] Strengthen Spark to prevent ...
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[GitHub] spark issue #19528: [SPARK-20393][WEBU UI][1.6] Strengthen Spark to prevent ...
Github user shaneknapp commented on the issue: https://github.com/apache/spark/pull/19528 python2.7: 0.17.0 python3: 0.18.1 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #19528: [SPARK-20393][WEBU UI][1.6] Strengthen Spark to prevent ...
Github user ambauma commented on the issue: https://github.com/apache/spark/pull/19528 I'm unable to duplicate the PySpark failures locally. I assume I need a specific version of SciPy to duplicate the error. Is there a way I could get what versions the build server is running? Something like: `sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])` for python and python 3.4? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ambauma commented on the issue: https://github.com/apache/spark/pull/19528 Believed fixed. Hard to say for sure without knowing the precise python and numpy versions the build is using. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19528: [SPARK-20393][WEBU UI][1.6] Strengthen Spark to prevent ...
Github user ambauma commented on the issue: https://github.com/apache/spark/pull/19528 Able to duplicate. Working theory is that this is related to numpy 1.12.1. Here is my conda env: (spark-1.6) andrew@andrew-Inspiron-7559:~/git/spark$ conda list # packages in environment at /home/andrew/.conda/envs/spark-1.6: # ca-certificates 2017.08.26 h1d4fec5_0 certifi 2016.2.28py34_0 intel-openmp 2018.0.0 h15fc484_7 libedit 3.1 heed3624_0 libffi3.2.1h4deb6c0_3 libgcc-ng 7.2.0h7cc24e2_2 libgfortran 1.0 0 libstdcxx-ng 7.2.0h7a57d05_2 mkl 2017.0.3 0 ncurses 6.0 h06874d7_1 numpy 1.12.1 py34_0 openblas 0.2.190 openssl 1.0.2l h077ae2c_5 pip 9.0.1py34_1 python3.4.5 0 readline 6.2 2 setuptools27.2.0 py34_0 sqlite3.13.00 tk8.5.180 wheel 0.29.0 py34_0 xz5.2.3h2bcbf08_1 zlib 1.2.11 hfbfcf68_1 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #19528: [SPARK-20393][WEBU UI][1.6] Strengthen Spark to prevent ...
Github user ambauma commented on the issue: https://github.com/apache/spark/pull/19528 Working on duplicating PySpark failures... --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ambauma commented on the issue: https://github.com/apache/spark/pull/19528 I just posted the 2.0 pull request. https://github.com/apache/spark/pull/19538 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user srowen commented on the issue: https://github.com/apache/spark/pull/19528 (Spark 1.x is legacy in Cloudera, but, it has its own 1.x branch anyway) I think it's not a big deal to backport if it goes into later branches first, sure. But I doubt there is another 1.x release here. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ambauma commented on the issue: https://github.com/apache/spark/pull/19528 I have a release in my fork for my immediate needs. However, Spark 1.6 is still included in Hortonworks and is default in Cloudera. This patch addresses CVE-2017-7678. Some companies in strict regulatory environments may fail audits and be forced to remove Spark 1.6 if it is not patched. Rather than keeping security patches in forks, I think it makes sense to merge them back into the mainline for branches that are still in active use. That way if I get hit by a bus and CVE-2018- comes out, CVE-2017-7678 will already be covered and the work will not need to be duplicated. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user srowen commented on the issue: https://github.com/apache/spark/pull/19528 I don't think there are any more 1.x releases coming, and doubt there are more 2.0.x releases. Do you really need this in Spark or is it something you can apply to your own release branch? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
