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Package Details: apache-spark 3.5.1-1
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Git Clone URL: | https://aur.archlinux.org/apache-spark.git (read-only, click to copy) |
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Package Base: | apache-spark |
Description: | A unified analytics engine for large-scale data processing |
Upstream URL: | http://spark.apache.org |
Keywords: | spark |
Licenses: | Apache |
Submitter: | huitseeker |
Maintainer: | aakashhemadri |
Last Packager: | aakashhemadri |
Votes: | 57 |
Popularity: | 0.000882 |
First Submitted: | 2015-10-04 09:31 (UTC) |
Last Updated: | 2024-05-07 17:40 (UTC) |
Dependencies (2)
- inetutils (inetutils-gitAUR, busybox-coreutilsAUR)
- java-runtime-headless (jre10AUR, jre12AUR, server-jreAUR, jdk10AUR, jdk10-openj9-binAUR, jdk7AUR, jre7AUR, amazon-corretto-16AUR, jdk16-adoptopenjdkAUR, jdk8-armAUR, liberica-jre-11-binAUR, jdk11-j9-binAUR, jre11-jbr-xdg-headlessAUR, jre16-openjdk-headlessAUR, jre14-openjdk-headlessAUR, amazon-corretto-18AUR, jre15AUR, jre14AUR, jre13AUR, jre16AUR, jre18-openjdk-headlessAUR, amazon-corretto-19-binAUR, liberica-jre-11-full-binAUR, jdk13-openjdk-binAUR, liberica-jre-8-full-binAUR, jre-openj9-headlessAUR, jre12-openjdk-headlessAUR, jdk11-dragonwell-standard-binAUR, jdk11-jetbrains-binAUR, amazon-corretto-20-binAUR, zulu-15-binAUR, jdk20-openj9-binAUR, zulu-13-binAUR, jdk8-dragonwell-extended-binAUR, jdk8-dragonwell-standard-binAUR, jdk11-dragonwell-extended-binAUR, jdk17-dragonwell-standard-binAUR, jre11AUR, jdk8-j9-binAUR, jdk7-j9-binAUR, jdk7r1-j9-binAUR, jre13-openjdk-headlessAUR, jre15-openjdk-headlessAUR, jdk8AUR, jre8AUR, jdk-openj9-binAUR, jdk11-openj9-binAUR, jdk8-openj9-binAUR, jre-ltsAUR, jre17AUR, microsoft-openjdk-11-binAUR, microsoft-openjdk-17-binAUR, microsoft-openjdk-21-binAUR, jdk17-openj9-binAUR, liberica-nik-24-full-binAUR, zulu-jre-fx-binAUR, amazon-corretto-17AUR, amazon-corretto-21-binAUR, amazon-corretto-22-binAUR, amazon-corretto-8AUR, amazon-corretto-11AUR, jdk-temurinAUR, jdk21-temurinAUR, jdk17-temurinAUR, jdk11-temurinAUR, zulu-21-binAUR, zulu-17-binAUR, zulu-11-binAUR, zulu-8-binAUR, liberica-jdk-8-full-binAUR, liberica-jdk-21-full-binAUR, zulu-17-fx-binAUR, liberica-jdk-17-full-binAUR, liberica-jdk-11-lite-binAUR, liberica-jdk-11-full-binAUR, liberica-jdk-11-binAUR, jdk8-perfAUR, jreAUR, jdkAUR, jre19-openjdk-headlessAUR, zulu8-fx-binAUR, zulu11-fx-binAUR, zulu17-fx-binAUR, zulu21-fx-binAUR, zing-21-binAUR, zing-8-binAUR, jdk21-jetbrains-binAUR, jre-jetbrainsAUR, jre-openjdk-wakefield-headlessAUR, jre-openjdk-wakefieldAUR, jdk-openjdk-wakefieldAUR, jdk17-jetbrains-binAUR, zulu-jdk-fx-binAUR, jdk21-openj9-binAUR, java-openjdk-binAUR, liberica-jdk-full-binAUR, java-openjdk-ea-binAUR, jdk-openjdk, jdk11-openjdk, jdk17-openjdk, jdk21-openjdk, jre-openjdk, jre-openjdk-headless, jre11-openjdk, jre11-openjdk-headless, jre17-openjdk, jre17-openjdk-headless, jre21-openjdk, jre21-openjdk-headless, jre8-openjdk-headless)
Required by (2)
- polynote (optional)
- python-xgboost (optional)
Latest Comments
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ryukinix commented on 2020-01-17 23:12 (UTC) (edited on 2020-01-17 23:13 (UTC) by ryukinix)
Updating to spark 3.0.0-preview2 it will make works with Python3.8. I'm using this modified version of PKGBUILD: https://github.com/ryukinix/apache-spark-pkgbuild. Until now it's working fine.
5 days ago it was released the v2.4.5 github tag, but is not available yet on apache spark archive the compiled version, for that reason I used 3.0.0 preview2 version which is the most recent version available in the archive.
v2.4.5 and v3.0.0 versions contains the commit that fix the problems with python3.8: https://github.com/apache/spark/commit/811d563fbf60203377e8462e4fad271c1140b4fa
YaLTeR commented on 2019-12-13 08:25 (UTC) (edited on 2019-12-13 08:45 (UTC) by YaLTeR)
Doesn't seem to work with Python 3 (the default)?
Update: looks like it's Python 3.8; installing python37 from the AUR and using that seems to work.
tir commented on 2019-07-17 10:35 (UTC) (edited on 2019-07-17 10:39 (UTC) by tir)
I had success with the following PKGBUILD (patch: https://git.io/fj1CT).
There is another, unrelated issue probably with JLine (as noted here: https://github.com/sanori/spark-sbt/issues/4#issuecomment-401621777), for which the workaround would be:
lukaszimmermann commented on 2019-07-15 09:05 (UTC)
Hi, sorry for being unresponsive the last couple of month. Emanuel I added you as co-maintainer, can you perhaps update this package with the new PKGBUILD for Spark 2.4.3.
emanuelfontelles commented on 2019-07-13 17:56 (UTC) (edited on 2019-07-13 17:57 (UTC) by emanuelfontelles)
Hey guys, here are a full PKGBUILD with Spark-2.4.3, with Hadoop binaries, its totally works
marcinn commented on 2019-06-14 20:46 (UTC) (edited on 2019-06-14 20:46 (UTC) by marcinn)
PKGBUILD patch for 2.4.3:
sabitmaulanaa commented on 2019-05-27 14:23 (UTC)
is this package will be updated?
lukaszimmermann commented on 2019-04-26 09:29 (UTC)
Works, thanks!
blurbdust commented on 2019-04-26 00:31 (UTC)
Here is my current PKGBUILD that works for the latest spark as on 4/23/19
https://gist.github.com/blurbdust/3e03531d890c8bcf1da3c3d1192ce4d5
lukaszimmermann commented on 2019-04-25 09:14 (UTC)
I would be happy to become maintainer of this package, then I can take care of some open issues here.
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