From dc6845aaffdd6ffe33f7653ffdb9de9b7d22d24f Mon Sep 17 00:00:00 2001 From: Markgolzh Date: Wed, 28 Sep 2016 23:05:43 +0800 Subject: [PATCH] =?UTF-8?q?=E8=AE=A4=E9=A2=86=E7=BF=BB=E8=AF=91?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 👌 --- ...160831 Apache Spark Scale - A 60 TB production use case.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sources/tech/20160831 Apache Spark Scale - A 60 TB production use case.md b/sources/tech/20160831 Apache Spark Scale - A 60 TB production use case.md index 28fbd202ec..ab07743711 100644 --- a/sources/tech/20160831 Apache Spark Scale - A 60 TB production use case.md +++ b/sources/tech/20160831 Apache Spark Scale - A 60 TB production use case.md @@ -1,3 +1,4 @@ +翻译中 by-zky001 Apache Spark @Scale: A 60 TB+ production use case =========== @@ -113,7 +114,7 @@ While this post details our most challenging use case for Spark, a growing numbe via: https://code.facebook.com/posts/1671373793181703/apache-spark-scale-a-60-tb-production-use-case/?utm_source=dbweekly&utm_medium=email 作者：[Sital Kedia][a] [王硕杰][b] [Avery Ching][c] -译者：[译者ID](https://github.com/译者ID) +译者：[zky001](https://github.com/zky001) 校对：[校对者ID](https://github.com/校对者ID) 本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出