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| author | Emanuel Fontelles | 2019-07-17 22:51:17 +0000 |
|---|---|---|
| committer | Emanuel Fontelles | 2019-07-17 22:51:17 +0000 |
| commit | 611f2cb7805375c9b813477e503d9f71e1ad6f51 (patch) | |
| tree | cf739ab07c2cbe1c3212742b2139c7bb2ff67008 /.SRCINFO | |
| parent | d23a6f005b0a9888a3b6ae1eecf854fd76a8f783 (diff) | |
| download | aur-611f2cb7805375c9b813477e503d9f71e1ad6f51.tar.gz | |
update to version apache-spark-2.3.4
after some work, I've decided to update to Apache-Spark-2.3.4 with
Hadoop binaries, to doesn't need to install and link py4j and anothers
modules to work with PySpark for example.
Diffstat (limited to '.SRCINFO')
| -rw-r--r-- | .SRCINFO | 8 |
1 files changed, 3 insertions, 5 deletions
@@ -1,8 +1,6 @@ -# Generated by mksrcinfo v8 -# Wed Jan 30 19:45:05 UTC 2019 pkgbase = apache-spark pkgdesc = fast and general engine for large-scale data processing - pkgver = 2.4.0 + pkgver = 2.4.3 pkgrel = 1 url = http://spark.apache.org install = apache-spark.install @@ -18,14 +16,14 @@ pkgbase = apache-spark optdepends = rsync: support rsync hadoop binaries from master optdepends = hadoop: support for running on YARN backup = etc/apache-spark/spark-env.sh - source = https://www.apache.org/dyn/mirrors/mirrors.cgi?action=download&filename=spark/spark-2.4.0/spark-2.4.0-bin-without-hadoop.tgz + source = https://archive.apache.org/dist/spark/spark-2.4.3/spark-2.4.3-bin-hadoop2.7.tgz source = apache-spark-master.service source = apache-spark-slave@.service source = spark-env.sh source = spark-daemon-run.sh source = run-master.sh source = run-slave.sh - sha1sums = ce6fe98272b78a5c487d16f0f5f828908b65d7fe + sha1sums = 7b2f1be5c4ccec86c6d2b1e54c379b7af7a5752a sha1sums = ac71d12070a9a10323e8ec5aed4346b1dd7f21c6 sha1sums = a191e4f8f7f8bbc596f4fadfb3c592c3efbc4fc0 sha1sums = 3fa39d55075d4728bd447692d648053c9f6b07ec |