Apache Spark 1.6.1 发布了，Apache Spark 是一种与 Hadoop 相似的开源集群计算环境，但是两者之间还存在一些不同之处，这些有用的不同之处使 Spark 在某些工作负载方面表现得更加优越，换句话说，Spark 启用了内存分布数据集，除了能够提供交互式查询外，它还可以优化迭代工作负载。 Spark 是在 Scala 语言中实现的，它将 Scala 用作其应用程序框架。与 Hadoop 不同，Spark 和 Scala 能够紧密集成，其中的 Scala 可以像操作本地集合对象一样轻松地操作分布式数据集。 尽
管创建 Spark 是为了支持分布式数据集上的迭代作业，但是实际上它是对 Hadoop 的补充，可以在 Hadoo 文件系统中并行运行。通过名为
Mesos 的第三方集群框架可以支持此行为。Spark 由加州大学伯克利分校 AMP 实验室 (Algorithms, Machines,
and People Lab) 开发，可用来构建大型的、低延迟的数据分析应用程序。 新特性 [SPARK-10359] - Enumerate Spark's dependencies in a file and diff against it for new pull requests Bug 修复 [SPARK-7615] - MLLIB Word2Vec wordVectors divided by Euclidean Norm equals to zero [SPARK-9844] - File appender race condition during SparkWorker shutdown [SPARK-10524] - Decision tree binary classification with ordered categorical features: incorrect centroid [SPARK-10847] - Pyspark - DataFrame - Optional Metadata with `None` triggers cryptic failure [SPARK-11394] - PostgreDialect cannot handle BYTE types [SPARK-11624] - Spark SQL CLI will set sessionstate twice [SPARK-11972] - [Spark SQL] the value of 'hiveconf' parameter in CLI can't be got after enter spark-sql session [SPARK-12006] - GaussianMixture.train crashes if an initial model is not None [SPARK-12010] - Spark JDBC requires support for column-name-free INSERT syntax [SPARK-12016] - word2vec load model can't use findSynonyms to get words [SPARK-12026] - ChiSqTest gets slower and slower over time when number of features is large [SPARK-12268] - pyspark shell uses execfile which breaks python3 compatibility [SPARK-12300] - Fix schema inferance on local collections [SPARK-12316] - Stack overflow with endless call of `Delegation token thread` when application end. [SPARK-12327] - lint-r checks fail with commented code
详情请看：https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334009&styleName=Html&projectId=12315420&Create=Create&atl_token=A5KQ-2QAV-T4JA-FDED|a0202c18e71ce446af35a0775298cc3f2be9d54f|lin 下载地址：http://spark.apache.org/downloads.html | 
